chore: import upstream snapshot with attribution
Publish `@librechat/data-schemas` to NPM / pack (push) Failing after 8s
Publish `@librechat/client` to NPM / pack (push) Failing after 0s
GitNexus Index / index (push) Failing after 1s
Sync Locize Translations & Create Translation PR / Create Translation PR on Version Published (push) Has been skipped
Sync Helm Chart Tags / Sync chart tags (push) Failing after 2s
Publish `librechat-data-provider` to NPM / pack (push) Failing after 1s
Docker Dev Images Build / build (Dockerfile, librechat-dev, node) (push) Failing after 1s
Docker Dev Images Build / build (Dockerfile.multi, librechat-dev-api, api-build) (push) Failing after 0s
Sync Helm Chart Tags / Ignore non-main push (push) Has been skipped
Sync Locize Translations & Create Translation PR / Sync Translation Keys with Locize (push) Failing after 1s
Publish `@librechat/client` to NPM / publish-npm (push) Has been cancelled
Publish `librechat-data-provider` to NPM / publish-npm (push) Has been cancelled
GitNexus Index / post-index (push) Has been cancelled
Publish `@librechat/data-schemas` to NPM / publish-npm (push) Has been cancelled

This commit is contained in:
wehub-resource-sync
2026-07-13 12:08:12 +08:00
commit e115934061
3584 changed files with 848449 additions and 0 deletions
+5
View File
@@ -0,0 +1,5 @@
FROM node:24.16.0-bullseye
RUN useradd -m -s /bin/bash vscode
RUN mkdir -p /workspaces && chown -R vscode:vscode /workspaces
WORKDIR /workspaces
+18
View File
@@ -0,0 +1,18 @@
{
"dockerComposeFile": "docker-compose.yml",
"service": "app",
"workspaceFolder": "/workspaces",
"customizations": {
"vscode": {
"extensions": [],
"settings": {
"terminal.integrated.profiles.linux": {
"bash": null
}
}
}
},
"postCreateCommand": "",
"features": { "ghcr.io/devcontainers/features/git:1": {} },
"remoteUser": "vscode"
}
+62
View File
@@ -0,0 +1,62 @@
services:
app:
build:
context: ..
dockerfile: .devcontainer/Dockerfile
# restart: always
links:
- mongodb
- meilisearch
# ports:
# - 3080:3080 # Change it to 9000:3080 to use nginx
extra_hosts: # if you are running APIs on docker you need access to, you will need to uncomment this line and next
- "host.docker.internal:host-gateway"
volumes:
# This is where VS Code should expect to find your project's source code and the value of "workspaceFolder" in .devcontainer/devcontainer.json
- ..:/workspaces:cached
# Uncomment the next line to use Docker from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker-compose for details.
# - /var/run/docker.sock:/var/run/docker.sock
environment:
- HOST=0.0.0.0
- MONGO_URI=mongodb://mongodb:27017/LibreChat
# - OPENAI_REVERSE_PROXY=http://host.docker.internal:8070/v1
- MEILI_HOST=http://meilisearch:7700
# Runs app on the same network as the service container, allows "forwardPorts" in devcontainer.json function.
# network_mode: service:another-service
# Use "forwardPorts" in **devcontainer.json** to forward an app port locally.
# (Adding the "ports" property to this file will not forward from a Codespace.)
# Use a non-root user for all processes - See https://aka.ms/vscode-remote/containers/non-root for details.
user: vscode
# Overrides default command so things don't shut down after the process ends.
command: /bin/sh -c "while sleep 1000; do :; done"
mongodb:
container_name: chat-mongodb
expose:
- 27017
# ports:
# - 27018:27017
image: mongo
# restart: always
volumes:
- ./data-node:/data/db
command: mongod --noauth
meilisearch:
container_name: chat-meilisearch
image: getmeili/meilisearch:v1.5
# restart: always
expose:
- 7700
# Uncomment this to access meilisearch from outside docker
# ports:
# - 7700:7700 # if exposing these ports, make sure your master key is not the default value
environment:
- MEILI_NO_ANALYTICS=true
- MEILI_MASTER_KEY=5c71cf56d672d009e36070b5bc5e47b743535ae55c818ae3b735bb6ebfb4ba63
volumes:
- ./meili_data_v1.5:/meili_data
+25
View File
@@ -0,0 +1,25 @@
# Caddy reverse proxy with bearer token auth and automatic HTTPS.
# The domain is supplied via environment variable GITNEXUS_DOMAIN,
# and the auth token via API_TOKEN. Both are set in docker-compose.yml.
{$GITNEXUS_DOMAIN} {
# Health check — unauthenticated so monitoring can probe it
@health path /health
handle @health {
reverse_proxy gitnexus:4747 {
rewrite /api/info
}
}
# All other routes require bearer token
@authed {
header Authorization "Bearer {$API_TOKEN}"
}
handle @authed {
reverse_proxy gitnexus:4747
}
# Reject unauthenticated requests
respond "Unauthorized" 401
}
+46
View File
@@ -0,0 +1,46 @@
# Long-lived GitNexus image for DigitalOcean droplet deployment.
#
# This image does NOT bake in the index data. Indexes are mounted from
# the host at /indexes/<repo>/.gitnexus/ and registered at container
# startup. A fresh index only requires rsync + container restart — no
# image rebuild on every push.
FROM node:24.16.0-slim
ARG GITNEXUS_VERSION=1.6.7
# Pin the native DB to match the index workflow; gitnexus's ^0.17.0 range
# would otherwise let the served image drift from the CI-produced index.
ARG LADYBUG_VERSION=0.17.1
# 1. Build native addons with Bookworm toolchain, then remove build tools.
# curl stays for the docker healthcheck; Caddy lives in its own container.
# LadybugDB is pinned nested under gitnexus so step 3's require() resolves it.
RUN apt-get update \
&& apt-get install -y --no-install-recommends python3 make g++ curl \
&& npm install -g gitnexus@${GITNEXUS_VERSION} \
&& npm install --no-save --prefix /usr/local/lib/node_modules/gitnexus "@ladybugdb/core@${LADYBUG_VERSION}" \
&& apt-get purge -y --auto-remove python3 make g++ \
&& rm -rf /var/lib/apt/lists/* /root/.npm
# 2. Upgrade libstdc++ from Trixie — @ladybugdb/core prebuilt binary needs
# GLIBCXX_3.4.32 which Bookworm (3.4.31) doesn't ship.
RUN echo "deb http://deb.debian.org/debian trixie main" > /etc/apt/sources.list.d/trixie.list \
&& apt-get update \
&& apt-get install -y -t trixie libstdc++6 \
&& rm /etc/apt/sources.list.d/trixie.list \
&& rm -rf /var/lib/apt/lists/*
# 3. Pre-install LadybugDB FTS + vector extensions so ~/.kuzu/extension/
# is baked into the image. gitnexus serve loads extensions with a
# load-only policy and never installs them at runtime, so the cache
# must already exist. (GitNexus loads the vector extension itself
# via loadVectorExtension — no adapter patch needed.)
COPY install-extensions.js /tmp/install-extensions.js
RUN node /tmp/install-extensions.js && rm -rf /tmp/install-extensions.js /tmp/lbug-ext-install
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
EXPOSE 4747
ENTRYPOINT ["/entrypoint.sh"]
+87
View File
@@ -0,0 +1,87 @@
# GitNexus stack for the DigitalOcean droplet.
#
# Two services: the gitnexus server (bound to an internal network only)
# and a Caddy reverse proxy that handles TLS + auth.
#
# Index data lives on the host at /opt/gitnexus/indexes/ and is
# bind-mounted read-write into the gitnexus container. The deploy
# workflow rsyncs fresh indexes into that directory and restarts
# only the gitnexus container — Caddy keeps running undisturbed.
#
# Break-glass: if gitnexus is stuck unhealthy and you need to restart
# just Caddy (e.g. to push an emergency Caddyfile fix), the
# `depends_on: condition: service_healthy` would block:
# docker compose up -d caddy
# Use --no-deps to bypass the dependency check:
# docker compose up -d --no-deps caddy
name: gitnexus
# Shared logging defaults applied to both services so the droplet's
# disk doesn't fill up with unbounded json-file logs.
x-logging: &default-logging
driver: json-file
options:
max-size: '50m'
max-file: '3'
services:
gitnexus:
# Override via GITNEXUS_IMAGE in /opt/gitnexus/.env to use a fork or
# a pinned version tag like :v1.5.3 for reproducible rollbacks.
image: ${GITNEXUS_IMAGE:-ghcr.io/danny-avila/librechat-gitnexus:latest}
container_name: gitnexus
restart: unless-stopped
networks:
- gitnexus-net
volumes:
- /opt/gitnexus/indexes:/indexes
# memswap_limit equal to mem_limit disables swap for this container.
# Without it, Docker lets the process silently swap onto host disk,
# turning sub-second graph queries into multi-second ones. Hard
# OOM-kill is preferable — the container restarts via unless-stopped,
# the deploy health poll catches it, and the failure is explicit.
mem_limit: 1792m
memswap_limit: 1792m
logging: *default-logging
healthcheck:
test: ['CMD', 'curl', '-fsS', 'http://127.0.0.1:4747/api/info']
interval: 30s
timeout: 5s
retries: 3
start_period: 60s
caddy:
image: caddy:2-alpine
container_name: gitnexus-caddy
restart: unless-stopped
# service_healthy (not just service_started) ensures Caddy doesn't
# start routing traffic until gitnexus passes its initial healthcheck
# on a cold `compose up`. This only governs initial startup ordering —
# during force-recreates of gitnexus, Caddy stays up and may briefly
# return 502 while the new gitnexus container binds its port. The
# deploy workflow's health poll catches any sustained failure.
depends_on:
gitnexus:
condition: service_healthy
ports:
- '80:80'
- '443:443'
networks:
- gitnexus-net
volumes:
- /opt/gitnexus/Caddyfile:/etc/caddy/Caddyfile:ro
- caddy-data:/data
- caddy-config:/config
logging: *default-logging
environment:
GITNEXUS_DOMAIN: ${GITNEXUS_DOMAIN}
API_TOKEN: ${API_TOKEN}
networks:
gitnexus-net:
driver: bridge
volumes:
caddy-data:
caddy-config:
+48
View File
@@ -0,0 +1,48 @@
#!/bin/sh
set -e
# Cap Node heap below the container's cgroup limit (1792m in compose),
# leaving room for @ladybugdb/core's C++ heap and OS overhead. Native
# allocations happen outside V8's view, so a slim V8 budget is the only
# thing between a heavy query and a cgroup OOM-kill. Without this cap,
# gitnexus defaults to --max-old-space-size=8192 and reserves memory
# the container doesn't have.
export NODE_OPTIONS="${NODE_OPTIONS:---max-old-space-size=1280}"
# Register every index mounted under /indexes/<name>/.gitnexus/.
# This is idempotent — re-registering an existing repo updates the
# metadata pointer without touching the index data.
#
# Registration failure handling:
# - main (LibreChat) and dev (LibreChat-dev) are critical. If either
# fails to register, exit 1 so docker marks the container unhealthy
# and the deploy workflow's readiness check surfaces the error.
# - PR indexes (LibreChat-pr-*) are best-effort. A corrupt PR index
# shouldn't take the whole server down.
if [ -d /indexes ]; then
for dir in /indexes/*/; do
[ -d "$dir" ] || continue
name=$(basename "$dir")
[ -d "$dir.gitnexus" ] || continue
echo "Registering index: $name"
if ! gitnexus index "$dir" --allow-non-git; then
case "$name" in
LibreChat|LibreChat-dev)
echo "ERROR: failed to register critical index $name" >&2
exit 1
;;
*)
echo "WARN: failed to register PR index $name — skipping" >&2
;;
esac
fi
done
else
echo "WARN: /indexes directory not mounted" >&2
fi
# Bind 0.0.0.0 inside the container so Caddy (in a separate container
# on the same docker network) can reach gitnexus at gitnexus:4747.
# docker-compose.yml intentionally does NOT expose port 4747 on the
# host — only Caddy's 80/443 are published.
exec gitnexus serve --host 0.0.0.0 --port 4747
+46
View File
@@ -0,0 +1,46 @@
/**
* Pre-install LadybugDB extensions (FTS + vector) into the Docker image's
* extension cache (~/.kuzu/extension/). Without this, gitnexus serve's
* lbug-adapter calls LOAD EXTENSION fts at runtime but fails silently
* because the extension was never installed, causing all BM25 and
* semantic queries via the query() tool to return empty.
*
* Workaround for upstream GitNexus 1.5.3 bug where the CI-produced
* .gitnexus/ artifact doesn't include the extension cache.
*/
const path = require('path');
const fs = require('fs');
// @ladybugdb/core lives under the globally-installed gitnexus package.
// This path is stable across gitnexus versions because npm always nests
// transitive deps under the installed package's node_modules.
const lbugPath = '/usr/local/lib/node_modules/gitnexus/node_modules/@ladybugdb/core';
const lbug = require(lbugPath);
const tmpDir = '/tmp/lbug-ext-install';
fs.mkdirSync(tmpDir, { recursive: true });
// Open a throwaway database just to run INSTALL against. The extension
// cache persists in ~/.kuzu/extension/ regardless of which database was
// used to install it, so the throwaway db and tmpDir are deleted in the
// Dockerfile after this script finishes.
const db = new lbug.Database(path.join(tmpDir, 'db'), 0, false, false);
const conn = new lbug.Connection(db);
(async () => {
try {
await conn.query('INSTALL fts');
console.log('FTS extension installed');
} catch (err) {
console.error('FTS install failed:', err.message);
process.exit(1);
}
try {
await conn.query('INSTALL vector');
console.log('Vector extension installed');
} catch (err) {
console.error('Vector install failed:', err.message);
process.exit(1);
}
})();
+17
View File
@@ -0,0 +1,17 @@
**/.circleci
**/.editorconfig
**/.dockerignore
**/.git
**/.DS_Store
**/.vscode
**/node_modules
# Specific patterns to ignore
data-node
meili_data*
librechat*
Dockerfile*
docs
# Ignore all hidden files
.*
+1125
View File
File diff suppressed because it is too large Load Diff
+3
View File
@@ -0,0 +1,3 @@
# Force LF line endings for shell scripts and git hooks (required for cross-platform compatibility)
.husky/* text eol=lf
*.sh text eol=lf
+132
View File
@@ -0,0 +1,132 @@
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, religion, or sexual identity
and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
* Focusing on what is best not just for us as individuals, but for the
overall community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.
Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement here on GitHub or
on the official [Discord Server](https://discord.librechat.ai).
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series
of actions.
**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or
permanent ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within
the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.0, available at
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Community Impact Guidelines were inspired by [Mozilla's code of conduct
enforcement ladder](https://github.com/mozilla/diversity).
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see the FAQ at
https://www.contributor-covenant.org/faq. Translations are available at
https://www.contributor-covenant.org/translations.
---
## [Go Back to ReadMe](../README.md)
+159
View File
@@ -0,0 +1,159 @@
# Contributor Guidelines
Thank you to all the contributors who have helped make this project possible! We welcome various types of contributions, such as bug reports, documentation improvements, feature requests, and code contributions.
## Contributing Guidelines
If the feature you would like to contribute has not already received prior approval from the project maintainers (i.e., the feature is currently on the [roadmap](https://github.com/users/danny-avila/projects/2)), please submit a request in the [Feature Requests & Suggestions category](https://github.com/danny-avila/LibreChat/discussions/new?category=feature-requests-suggestions) of the discussions board before beginning work on it. The requests should include specific implementation details, including areas of the application that will be affected by the change (including designs if applicable), and any other relevant information that might be required for a speedy review. However, proposals are not required for small changes, bug fixes, or documentation improvements. Small changes and bug fixes should be tied to an [issue](https://github.com/danny-avila/LibreChat/issues) and included in the corresponding pull request for tracking purposes.
Please note that a pull request involving a feature that has not been reviewed and approved by the project maintainers may be rejected. We appreciate your understanding and cooperation.
If you would like to discuss the changes you wish to make, join our [Discord community](https://discord.librechat.ai), where you can engage with other contributors and seek guidance from the community.
## Our Standards
We strive to maintain a positive and inclusive environment within our project community. We expect all contributors to adhere to the following standards:
- Using welcoming and inclusive language.
- Being respectful of differing viewpoints and experiences.
- Gracefully accepting constructive criticism.
- Focusing on what is best for the community.
- Showing empathy towards other community members.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that do not align with these standards.
## To contribute to this project, please adhere to the following guidelines:
## 1. Development Setup
1. Use Node.js v24.16.0.
2. Run `npm run smart-reinstall` to install dependencies (uses Turborepo). Use `npm run reinstall` for a clean install, or `npm ci` for a fresh lockfile-based install.
3. Build all compiled code: `npm run build`.
4. Setup and run unit tests:
- Copy `.env.test`: `cp api/test/.env.test.example api/test/.env.test`.
- Run backend unit tests: `npm run test:api`.
- Run frontend unit tests: `npm run test:client`.
5. Setup and run integration tests:
- Create `.env`: `cp .env.example .env`.
- Install [MongoDB Community Edition](https://www.mongodb.com/docs/manual/administration/install-community/), ensure that `mongosh` connects to your local instance.
- Run: `npx install playwright`, then `npx playwright install`.
- Copy `config.local`: `cp e2e/config.local.example.ts e2e/config.local.ts`.
- Copy `librechat.yaml`: `cp librechat.example.yaml librechat.yaml`.
- Run: `npm run e2e`.
## 2. Development Notes
1. Before starting work, make sure your main branch has the latest commits with `npm run update`.
2. Run linting command to find errors: `npm run lint`. Alternatively, ensure husky pre-commit checks are functioning.
3. After your changes, reinstall packages in your current branch using `npm run reinstall` and ensure everything still works.
- Restart the ESLint server ("ESLint: Restart ESLint Server" in VS Code command bar) and your IDE after reinstalling or updating.
4. Clear web app localStorage and cookies before and after changes.
5. To check for introduced errors, build all compiled code: `npm run build`.
6. Run backend unit tests: `npm run test:api`.
7. Run frontend unit tests: `npm run test:client`.
8. Run integration tests: `npm run e2e`.
## 3. Git Workflow
We utilize a GitFlow workflow to manage changes to this project's codebase. Follow these general steps when contributing code:
1. Fork the repository and create a new branch with a descriptive slash-based name (e.g., `new/feature/x`).
2. Implement your changes and ensure that all tests pass.
3. Commit your changes using conventional commit messages with GitFlow flags. Begin the commit message with a tag indicating the change type, such as "feat" (new feature), "fix" (bug fix), "docs" (documentation), or "refactor" (code refactoring), followed by a brief summary of the changes (e.g., `feat: Add new feature X to the project`).
4. Submit a pull request with a clear and concise description of your changes and the reasons behind them.
5. We will review your pull request, provide feedback as needed, and eventually merge the approved changes into the main branch.
## 4. Commit Message Format
We follow the [semantic format](https://gist.github.com/joshbuchea/6f47e86d2510bce28f8e7f42ae84c716) for commit messages.
### Example
```
feat: add hat wobble
^--^ ^------------^
| |
| +-> Summary in present tense.
|
+-------> Type: chore, docs, feat, fix, refactor, style, or test.
```
### Commit Guidelines
- Do your best to reduce the number of commits, organizing them as much possible. Look into [squashing commits](https://www.freecodecamp.org/news/git-squash-commits/) in order to keep a neat history.
- For those that care about maximizing commits for stats, adhere to the above as I 'squash and merge' an unorganized and/or unformatted commit history, which reduces the number of your commits to 1,:
```
* Update Br.tsx
* Update Es.tsx
* Update Br.tsx
```
## 5. Pull Request Process
When submitting a pull request, please follow these guidelines:
- Ensure that any installation or build dependencies are removed before the end of the layer when doing a build.
- Update the README.md with details of changes to the interface, including new environment variables, exposed ports, useful file locations, and container parameters.
- Increase the version numbers in any example files and the README.md to reflect the new version that the pull request represents. We use [SemVer](http://semver.org/) for versioning.
Ensure that your changes meet the following criteria:
- All tests pass as highlighted [above](#1-development-notes).
- The code is well-formatted and adheres to our coding standards.
- The commit history is clean and easy to follow. You can use `git rebase` or `git merge --squash` to clean your commit history before submitting the pull request.
- The pull request description clearly outlines the changes and the reasons behind them. Be sure to include the steps to test the pull request.
## 6. Naming Conventions
Apply the following naming conventions to branches, labels, and other Git-related entities:
- **Branch names:** Descriptive and slash-based (e.g., `new/feature/x`).
- **Labels:** Descriptive and kebab case (e.g., `bug-fix`).
- **JS/TS:** Directories and file names: Descriptive and camelCase. First letter uppercased for React files (e.g., `helperFunction.ts, ReactComponent.tsx`).
- **Docs:** Directories and file names: Descriptive and snake_case (e.g., `config_files.md`).
## 7. Coding Standards
For detailed coding conventions, workspace boundaries, and architecture guidance, refer to the [`AGENTS.md`](../AGENTS.md) file at the project root. It covers code style, type safety, import ordering, iteration/performance expectations, frontend rules, testing, and development commands.
## 8. TypeScript Conversion
1. **Original State**: The project was initially developed entirely in JavaScript (JS).
2. **Frontend**: Fully transitioned to TypeScript.
3. **Backend**:
- The legacy Express.js server remains in `/api` as JavaScript.
- All new backend code is written in TypeScript under `/packages/api`, which is compiled and consumed by `/api`.
- Shared database logic lives in `/packages/data-schemas` (TypeScript).
- Shared frontend/backend API types and services live in `/packages/data-provider` (TypeScript).
- Minimize direct changes to `/api`; prefer adding TypeScript code to `/packages/api` and importing it.
## 9. Module Import Conventions
Imports are organized into three sections (in order):
1. **Package imports** — sorted from shortest to longest line length.
- `react` is always the first import.
- Multi-line (stacked) imports count their total character length across all lines for sorting.
2. **`import type` imports** — sorted from longest to shortest line length.
- Package type imports come first, then local type imports.
- Line length sorting resets between the package and local sub-groups.
3. **Local/project imports** — sorted from longest to shortest line length.
- Multi-line (stacked) imports count their total character length across all lines for sorting.
- Imports with alias `~` are treated the same as relative imports with respect to line length.
- Consolidate value imports from the same module as much as possible.
- Always use standalone `import type { ... }` for type imports; never use inline `type` keyword inside value imports (e.g., `import { Foo, type Bar }` is wrong).
**Note:** ESLint will automatically enforce these import conventions when you run `npm run lint --fix` or through pre-commit hooks.
For the full set of coding standards, see [`AGENTS.md`](../AGENTS.md).
---
## [Go Back to ReadMe](../README.md)
+13
View File
@@ -0,0 +1,13 @@
# These are supported funding model platforms
github: [danny-avila]
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
+93
View File
@@ -0,0 +1,93 @@
name: Bug Report
description: File a bug report
title: "[Bug]: "
labels: ["🐛 bug"]
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill out this bug report!
Before submitting, please:
- Search existing [Issues and Discussions](https://github.com/danny-avila/LibreChat/discussions) to see if your bug has already been reported
- Use [Discussions](https://github.com/danny-avila/LibreChat/discussions) instead of Issues for:
- General inquiries
- Help with setup
- Questions about whether you're experiencing a bug
- type: textarea
id: what-happened
attributes:
label: What happened?
description: Also tell us, what did you expect to happen?
placeholder: Please give as many details as possible
validations:
required: true
- type: textarea
id: version-info
attributes:
label: Version Information
description: |
In LibreChat, open **Settings → About** and click **Copy diagnostics**, then paste the result here.
This captures the exact version, commit, branch, and build date so maintainers can pinpoint the build you're running.
If the About panel is unavailable (older version / self-hosted with it disabled), please provide as much of the following as possible instead:
- Docker: `docker images | grep librechat` (image tag) and `docker inspect <image> | grep -i "\"Commit\\|BUILD_"` if build args were set
- Source: `git rev-parse HEAD` and `git rev-parse --abbrev-ref HEAD`
placeholder: Paste the diagnostics block here
validations:
required: true
- type: textarea
id: steps-to-reproduce
attributes:
label: Steps to Reproduce
description: Please list the steps needed to reproduce the issue.
placeholder: "1. Step 1\n2. Step 2\n3. Step 3"
validations:
required: true
- type: dropdown
id: browsers
attributes:
label: What browsers are you seeing the problem on?
multiple: true
options:
- Firefox
- Chrome
- Safari
- Microsoft Edge
- Mobile (iOS)
- Mobile (Android)
- type: textarea
id: logs
attributes:
label: Relevant log output
description: |
Please paste relevant logs that were created when reproducing the error.
Log locations:
- Docker: Project root directory ./logs
- npm: ./api/logs
There are two types of logs that can help diagnose the issue:
- debug logs (debug-YYYY-MM-DD.log)
- error logs (error-YYYY-MM-DD.log)
Error logs contain exact stack traces and are especially helpful, but both can provide valuable information.
Please only include the relevant portions of logs that correspond to when you reproduced the error.
For UI-related issues, browser console logs can be very helpful. You can provide these as screenshots or paste the text here.
render: shell
validations:
required: true
- type: textarea
id: screenshots
attributes:
label: Screenshots
description: If applicable, add screenshots to help explain your problem. You can drag and drop, paste images directly here or link to them.
- type: checkboxes
id: terms
attributes:
label: Code of Conduct
description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
options:
- label: I agree to follow this project's Code of Conduct
required: true
@@ -0,0 +1,49 @@
name: Feature Request
description: File a feature request
title: "[Enhancement]: "
labels: ["✨ enhancement"]
body:
- type: markdown
attributes:
value: |
Thank you for taking the time to fill this out!
- type: textarea
id: what
attributes:
label: What features would you like to see added?
description: Please provide as many details as possible.
placeholder: Please provide as many details as possible.
validations:
required: true
- type: textarea
id: details
attributes:
label: More details
description: Please provide additional details if needed.
placeholder: Please provide additional details if needed.
validations:
required: true
- type: dropdown
id: subject
attributes:
label: Which components are impacted by your request?
multiple: true
options:
- General
- UI
- Endpoints
- Plugins
- Other
- type: textarea
id: screenshots
attributes:
label: Pictures
description: If relevant, please include images to help clarify your request. You can drag and drop images directly here, paste them, or provide a link to them.
- type: checkboxes
id: terms
attributes:
label: Code of Conduct
description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md)
options:
- label: I agree to follow this project's Code of Conduct
required: true
@@ -0,0 +1,42 @@
name: Locize Translation Access Request
description: Request access to an additional language in Locize for LibreChat translations.
title: "Locize Access Request: "
labels: ["🌍 i18n", "🔑 access request"]
body:
- type: markdown
attributes:
value: |
Thank you for your interest in contributing to LibreChat translations!
Please fill out the form below to request access to an additional language in **Locize**.
**🔗 Available Languages:** [View the list here](https://www.librechat.ai/docs/translation)
**📌 Note:** Ensure that the requested language is supported before submitting your request.
- type: input
id: account_name
attributes:
label: Locize Account Name
description: Please provide your Locize account name (e.g., John Doe).
placeholder: e.g., John Doe
validations:
required: true
- type: input
id: language_requested
attributes:
label: Language Code (ISO 639-1)
description: |
Enter the **ISO 639-1** language code for the language you want to translate into.
Example: `es` for Spanish, `zh-Hant` for Traditional Chinese.
**🔗 Reference:** [Available Languages](https://www.librechat.ai/docs/translation)
placeholder: e.g., es
validations:
required: true
- type: checkboxes
id: agreement
attributes:
label: Agreement
description: By submitting this request, you confirm that you will contribute responsibly and adhere to the project guidelines.
options:
- label: I agree to use my access solely for contributing to LibreChat translations.
required: true
@@ -0,0 +1,33 @@
name: New Language Request
description: Request to add a new language for LibreChat translations.
title: "New Language Request: "
labels: ["✨ enhancement", "🌍 i18n"]
body:
- type: markdown
attributes:
value: |
Thank you for taking the time to submit a new language request! Please fill out the following details so we can review your request.
- type: input
id: language_name
attributes:
label: Language Name
description: Please provide the full name of the language (e.g., Spanish, Mandarin).
placeholder: e.g., Spanish
validations:
required: true
- type: input
id: iso_code
attributes:
label: ISO 639-1 Code
description: Please provide the ISO 639-1 code for the language (e.g., es for Spanish). You can refer to [this list](https://www.w3schools.com/tags/ref_language_codes.asp) for valid codes.
placeholder: e.g., es
validations:
required: true
- type: checkboxes
id: terms
attributes:
label: Code of Conduct
description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/danny-avila/LibreChat/blob/main/.github/CODE_OF_CONDUCT.md).
options:
- label: I agree to follow this project's Code of Conduct
required: true
+63
View File
@@ -0,0 +1,63 @@
# Security Policy
At LibreChat, we prioritize the security of our project and value the contributions of security researchers in helping us improve the security of our codebase. If you discover a security vulnerability within our project, we appreciate your responsible disclosure. Please follow the guidelines below to report any vulnerabilities to us:
**Note: Only report sensitive vulnerability details via the appropriate private communication channels mentioned below. Public channels, such as GitHub issues and Discord, should be used for initiating contact and establishing private communication channels.**
## Communication Channels
When reporting a security vulnerability, you have the following options to reach out to us:
- **Option 1: GitHub Security Advisory System**: We encourage you to use GitHub's Security Advisory system to report any security vulnerabilities you find. This allows us to receive vulnerability reports directly through GitHub. For more information on how to submit a security advisory report, please refer to the [GitHub Security Advisories documentation](https://docs.github.com/en/code-security/getting-started-with-security-vulnerability-alerts/about-github-security-advisories).
- **Option 2: GitHub Issues**: You can initiate first contact via GitHub Issues. However, please note that initial contact through GitHub Issues should not include any sensitive details.
- **Option 3: Discord Server**: You can join our [Discord community](https://discord.librechat.ai) and initiate first contact in the `#issues` channel. However, please ensure that initial contact through Discord does not include any sensitive details.
_After the initial contact, we will establish a private communication channel for further discussion._
### When submitting a vulnerability report, please provide us with the following information:
- A clear description of the vulnerability, including steps to reproduce it.
- The version(s) of the project affected by the vulnerability.
- Any additional information that may be useful for understanding and addressing the issue.
We strive to acknowledge vulnerability reports within 72 hours and will keep you informed of the progress towards resolution.
## Security Updates and Patching
We are committed to maintaining the security of our open-source project, LibreChat, and promptly addressing any identified vulnerabilities. To ensure the security of our project, we adhere to the following practices:
- We prioritize security updates for the current major release of our software.
- We actively monitor the GitHub Security Advisory system and the `#issues` channel on Discord for any vulnerability reports.
- We promptly review and validate reported vulnerabilities and take appropriate actions to address them.
- We release security patches and updates in a timely manner to mitigate any identified vulnerabilities.
Please note that as a security-conscious community, we may not always disclose detailed information about security issues until we have determined that doing so would not put our users or the project at risk. We appreciate your understanding and cooperation in these matters.
## Scope
This security policy applies to the following GitHub repository:
- Repository: [LibreChat](https://github.librechat.ai)
## Contact
If you have any questions or concerns regarding the security of our project, please join our [Discord community](https://discord.librechat.ai) and report them in the appropriate channel. You can also reach out to us by [opening an issue](https://github.com/danny-avila/LibreChat/issues/new) on GitHub. Please note that the response time may vary depending on the nature and severity of the inquiry.
## Acknowledgments
We would like to express our gratitude to the security researchers and community members who help us improve the security of our project. Your contributions are invaluable, and we sincerely appreciate your efforts.
## Bug Bounty Program
We currently do not have a bug bounty program in place. However, we welcome and appreciate any
security-related contributions through pull requests (PRs) that address vulnerabilities in our codebase. We believe in the power of collaboration to improve the security of our project and invite you to join us in making it more robust.
**Reference**
- https://cheatsheetseries.owasp.org/cheatsheets/Vulnerability_Disclosure_Cheat_Sheet.html
---
## [Go Back to ReadMe](../README.md)
+60
View File
@@ -0,0 +1,60 @@
{
"categories": [
{
"title": "### ✨ New Features",
"labels": ["feat"]
},
{
"title": "### 🌍 Internationalization",
"labels": ["i18n"]
},
{
"title": "### 👐 Accessibility",
"labels": ["a11y"]
},
{
"title": "### 🔧 Fixes",
"labels": ["Fix", "fix"]
},
{
"title": "### ⚙️ Other Changes",
"labels": ["ci", "style", "docs", "refactor", "chore"]
}
],
"ignore_labels": [
"🔁 duplicate",
"📊 analytics",
"🌱 good first issue",
"🔍 investigation",
"🙏 help wanted",
"❌ invalid",
"❓ question",
"🚫 wontfix",
"🚀 release",
"version"
],
"base_branches": ["main"],
"sort": {
"order": "ASC",
"on_property": "mergedAt"
},
"label_extractor": [
{
"pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
"target": "$1",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
"target": "version",
"flags": "i",
"on_property": "title",
"method": "match"
}
],
"template": "## [#{{TO_TAG}}] - #{{TO_TAG_DATE}}\n\nChanges from #{{FROM_TAG}} to #{{TO_TAG}}.\n\n#{{CHANGELOG}}\n\n[See full release details][release-#{{TO_TAG}}]\n\n[release-#{{TO_TAG}}]: https://github.com/#{{OWNER}}/#{{REPO}}/releases/tag/#{{TO_TAG}}\n\n---",
"pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
"empty_template": "- no changes"
}
+68
View File
@@ -0,0 +1,68 @@
{
"categories": [
{
"title": "### ✨ New Features",
"labels": ["feat"]
},
{
"title": "### 🌍 Internationalization",
"labels": ["i18n"]
},
{
"title": "### 👐 Accessibility",
"labels": ["a11y"]
},
{
"title": "### 🔧 Fixes",
"labels": ["Fix", "fix"]
},
{
"title": "### ⚙️ Other Changes",
"labels": ["ci", "style", "docs", "refactor", "chore"]
}
],
"ignore_labels": [
"🔁 duplicate",
"📊 analytics",
"🌱 good first issue",
"🔍 investigation",
"🙏 help wanted",
"❌ invalid",
"❓ question",
"🚫 wontfix",
"🚀 release",
"version",
"action"
],
"base_branches": ["main"],
"sort": {
"order": "ASC",
"on_property": "mergedAt"
},
"label_extractor": [
{
"pattern": "^(?:[^A-Za-z0-9]*)(feat|fix|chore|docs|refactor|ci|style|a11y|i18n)\\s*:",
"target": "$1",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(v\\d+\\.\\d+\\.\\d+(?:-rc\\d+)?).*",
"target": "version",
"flags": "i",
"on_property": "title",
"method": "match"
},
{
"pattern": "^(?:[^A-Za-z0-9]*)(action)\\b.*",
"target": "action",
"flags": "i",
"on_property": "title",
"method": "match"
}
],
"template": "## [Unreleased]\n\n#{{CHANGELOG}}\n\n---",
"pr_template": "- #{{TITLE}} by **@#{{AUTHOR}}** in [##{{NUMBER}}](#{{URL}})",
"empty_template": "- no changes"
}
+72
View File
@@ -0,0 +1,72 @@
# name: Playwright Tests
# on:
# pull_request:
# branches:
# - main
# - dev
# - release/*
# paths:
# - 'api/**'
# - 'client/**'
# - 'packages/**'
# - 'e2e/**'
# jobs:
# tests_e2e:
# name: Run Playwright tests
# if: github.event.pull_request.head.repo.full_name == 'danny-avila/LibreChat'
# timeout-minutes: 60
# runs-on: ubuntu-latest
# env:
# NODE_ENV: CI
# CI: true
# SEARCH: false
# BINGAI_TOKEN: user_provided
# CHATGPT_TOKEN: user_provided
# MONGO_URI: ${{ secrets.MONGO_URI }}
# OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
# E2E_USER_EMAIL: ${{ secrets.E2E_USER_EMAIL }}
# E2E_USER_PASSWORD: ${{ secrets.E2E_USER_PASSWORD }}
# JWT_SECRET: ${{ secrets.JWT_SECRET }}
# JWT_REFRESH_SECRET: ${{ secrets.JWT_REFRESH_SECRET }}
# CREDS_KEY: ${{ secrets.CREDS_KEY }}
# CREDS_IV: ${{ secrets.CREDS_IV }}
# DOMAIN_CLIENT: ${{ secrets.DOMAIN_CLIENT }}
# DOMAIN_SERVER: ${{ secrets.DOMAIN_SERVER }}
# PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: 1 # Skip downloading during npm install
# PLAYWRIGHT_BROWSERS_PATH: 0 # Places binaries to node_modules/@playwright/test
# TITLE_CONVO: false
# steps:
# - uses: actions/checkout@v4
# - uses: actions/setup-node@v4
# with:
# node-version: 24.16.0
# cache: 'npm'
# - name: Install global dependencies
# run: npm ci
# # - name: Remove sharp dependency
# # run: rm -rf node_modules/sharp
# # - name: Install sharp with linux dependencies
# # run: cd api && SHARP_IGNORE_GLOBAL_LIBVIPS=1 npm install --arch=x64 --platform=linux --libc=glibc sharp
# - name: Build Client
# run: npm run frontend
# - name: Install Playwright
# run: |
# npx playwright install-deps
# npm install -D @playwright/test@latest
# npx playwright install chromium
# - name: Run Playwright tests
# run: npm run e2e:ci
# - name: Upload playwright report
# uses: actions/upload-artifact@v3
# if: always()
# with:
# name: playwright-report
# path: e2e/playwright-report/
# retention-days: 30
+41
View File
@@ -0,0 +1,41 @@
# Pull Request Template
⚠️ Before Submitting a PR, Please Review:
- Please ensure that you have thoroughly read and understood the [Contributing Docs](https://github.com/danny-avila/LibreChat/blob/main/.github/CONTRIBUTING.md) before submitting your Pull Request.
⚠️ Documentation Updates Notice:
- Kindly note that documentation updates are managed in this repository: [librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
## Summary
Please provide a brief summary of your changes and the related issue. Include any motivation and context that is relevant to your changes. If there are any dependencies necessary for your changes, please list them here.
## Change Type
Please delete any irrelevant options.
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] This change requires a documentation update
- [ ] Translation update
## Testing
Please describe your test process and include instructions so that we can reproduce your test. If there are any important variables for your testing configuration, list them here.
### **Test Configuration**:
## Checklist
Please delete any irrelevant options.
- [ ] My code adheres to this project's style guidelines
- [ ] I have performed a self-review of my own code
- [ ] I have commented in any complex areas of my code
- [ ] I have made pertinent documentation changes
- [ ] My changes do not introduce new warnings
- [ ] I have written tests demonstrating that my changes are effective or that my feature works
- [ ] Local unit tests pass with my changes
- [ ] Any changes dependent on mine have been merged and published in downstream modules.
- [ ] A pull request for updating the documentation has been submitted.
+237
View File
@@ -0,0 +1,237 @@
#!/usr/bin/env bash
set -euo pipefail
CHART_PATH="${CHART_PATH:-helm/librechat/Chart.yaml}"
DEFAULT_BRANCH="${DEFAULT_BRANCH:-main}"
BASE_REF="${BASE_REF:-refs/remotes/origin/${DEFAULT_BRANCH}}"
BACKFILL_FROM_VERSION="${BACKFILL_FROM_VERSION:-1.9.0}"
PUSH_TAGS="${PUSH_TAGS:-false}"
TAG_PREFIX="${TAG_PREFIX:-chart-}"
GITHUB_SERVER_URL="${GITHUB_SERVER_URL:-https://github.com}"
DISPATCH_WORKFLOW="${DISPATCH_WORKFLOW:-}"
RELEASE_EXISTING_TAG="${RELEASE_EXISTING_TAG:-}"
SEMVER_REGEX='^(0|[1-9][0-9]*)[.](0|[1-9][0-9]*)[.](0|[1-9][0-9]*)(-[0-9A-Za-z-]+([.][0-9A-Za-z-]+)*)?([+][0-9A-Za-z-]+([.][0-9A-Za-z-]+)*)?$'
fail() {
printf '::error::%s\n' "$1" >&2
exit 1
}
git_auth_header() {
token="$(printf 'x-access-token:%s' "$GITHUB_TOKEN" | base64 | tr -d '\n')"
printf 'AUTHORIZATION: basic %s' "$token"
}
git_with_auth() {
if [ -n "${GITHUB_TOKEN:-}" ]; then
git -c "http.extraheader=$(git_auth_header)" "$@"
return
fi
git "$@"
}
dispatch_release() {
tag="$1"
if [ -z "$DISPATCH_WORKFLOW" ]; then
return
fi
if [ -z "${GITHUB_REPOSITORY:-}" ]; then
fail "GITHUB_REPOSITORY is required to dispatch ${DISPATCH_WORKFLOW}"
fi
if [[ ! "$GITHUB_REPOSITORY" =~ ^[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+$ ]]; then
fail "Unexpected repository name: ${GITHUB_REPOSITORY}"
fi
if [[ ! "$DISPATCH_WORKFLOW" =~ ^[A-Za-z0-9_.-]+[.]ya?ml$ ]]; then
fail "Unexpected workflow file: ${DISPATCH_WORKFLOW}"
fi
token="${GH_TOKEN:-${GITHUB_TOKEN:-}}"
if [ -z "$token" ]; then
fail "GH_TOKEN or GITHUB_TOKEN is required to dispatch ${DISPATCH_WORKFLOW}"
fi
command -v gh >/dev/null ||
fail "GitHub CLI is required to dispatch ${DISPATCH_WORKFLOW}"
GH_TOKEN="$token" gh workflow run "$DISPATCH_WORKFLOW" \
--repo "$GITHUB_REPOSITORY" \
--ref "$DEFAULT_BRANCH" \
-f "chart_tag=${tag}"
}
version_less_than() {
left="${1%%[-+]*}"
right="${2%%[-+]*}"
IFS=. read -r left_major left_minor left_patch <<<"$left"
IFS=. read -r right_major right_minor right_patch <<<"$right"
if (( left_major != right_major )); then
(( left_major < right_major ))
return
fi
if (( left_minor != right_minor )); then
(( left_minor < right_minor ))
return
fi
(( left_patch < right_patch ))
}
validate_chart_tag() {
tag="$1"
version="${tag#${TAG_PREFIX}}"
git check-ref-format "refs/tags/${tag}" >/dev/null ||
fail "Refusing to use invalid tag ${tag}"
if [[ "$tag" != "${TAG_PREFIX}"* || ! "$version" =~ $SEMVER_REGEX ]]; then
fail "Chart tags must use the form ${TAG_PREFIX}<semver>, for example ${TAG_PREFIX}2.0.5"
fi
}
dispatch_existing_tag() {
tag="$1"
if [ -z "$tag" ]; then
return
fi
validate_chart_tag "$tag"
if [ "$PUSH_TAGS" != "true" ]; then
printf 'Would dispatch release workflow for existing %s.\n' "$tag"
return
fi
if ! git_with_auth ls-remote --exit-code --tags origin "refs/tags/${tag}" >/dev/null 2>&1; then
fail "Remote tag ${tag} does not exist"
fi
printf 'Dispatching release workflow for existing %s.\n' "$tag"
dispatch_release "$tag"
}
chart_version_at() {
git show "${1}:${CHART_PATH}" 2>/dev/null | awk '
/^version:[[:space:]]*/ {
value = $0
sub(/^version:[[:space:]]*/, "", value)
sub(/[[:space:]]*#.*/, "", value)
gsub(/^[[:space:]"'\''"]+|[[:space:]"'\''"]+$/, "", value)
print value
exit
}
'
}
case "$PUSH_TAGS" in
true | false) ;;
*) fail "PUSH_TAGS must be true or false" ;;
esac
if [[ ! "$BACKFILL_FROM_VERSION" =~ $SEMVER_REGEX ]]; then
fail "BACKFILL_FROM_VERSION must be a valid SemVer value"
fi
git rev-parse --verify "${BASE_REF}^{commit}" >/dev/null ||
fail "Unable to resolve ${BASE_REF}; fetch ${DEFAULT_BRANCH} before running this script"
history_file="$(mktemp)"
versions_file="$(mktemp)"
seen_file="$(mktemp)"
missing_file="$(mktemp)"
cleanup() {
rm -f "$history_file" "$versions_file" "$seen_file" "$missing_file"
}
trap cleanup EXIT
git log --first-parent --reverse --format=%H "$BASE_REF" -- "$CHART_PATH" >"$history_file"
if [ ! -s "$history_file" ]; then
fail "No history found for ${CHART_PATH} on ${BASE_REF}"
fi
while IFS= read -r commit; do
version="$(chart_version_at "$commit")"
if [ -z "$version" ]; then
continue
fi
if [[ ! "$version" =~ $SEMVER_REGEX ]]; then
fail "${CHART_PATH} has invalid SemVer '${version}' at ${commit}"
fi
if version_less_than "$version" "$BACKFILL_FROM_VERSION"; then
continue
fi
if grep -Fqx "$version" "$seen_file"; then
continue
fi
printf '%s\n' "$version" >>"$seen_file"
printf '%s\t%s\n' "$version" "$commit" >>"$versions_file"
done <"$history_file"
if [ ! -s "$versions_file" ]; then
fail "No chart versions found in ${CHART_PATH}"
fi
while IFS="$(printf '\t')" read -r version commit; do
tag="${TAG_PREFIX}${version}"
validate_chart_tag "$tag"
if git rev-parse --quiet --verify "refs/tags/${tag}" >/dev/null; then
continue
fi
printf '%s\t%s\n' "$tag" "$commit" >>"$missing_file"
done <"$versions_file"
if [ ! -s "$missing_file" ]; then
printf 'All chart versions on %s already have %s tags.\n' "$BASE_REF" "$TAG_PREFIX"
dispatch_existing_tag "$RELEASE_EXISTING_TAG"
exit 0
fi
while IFS="$(printf '\t')" read -r tag commit; do
short_commit="$(git rev-parse --short "$commit")"
if [ "$PUSH_TAGS" != "true" ]; then
printf 'Would create %s at %s.\n' "$tag" "$short_commit"
continue
fi
if git_with_auth ls-remote --exit-code --tags origin "refs/tags/${tag}" >/dev/null 2>&1; then
printf 'Remote tag %s already exists; dispatching release workflow.\n' "$tag"
dispatch_release "$tag"
continue
fi
git tag "$tag" "$commit"
if git_with_auth push origin "refs/tags/${tag}"; then
printf 'Created %s at %s.\n' "$tag" "$short_commit"
dispatch_release "$tag"
continue
fi
if git_with_auth ls-remote --exit-code --tags origin "refs/tags/${tag}" >/dev/null 2>&1; then
printf 'Remote tag %s was created concurrently; dispatching release workflow.\n' "$tag"
dispatch_release "$tag"
continue
fi
fail "Failed to push ${tag}"
done <"$missing_file"
dispatch_existing_tag "$RELEASE_EXISTING_TAG"
+30
View File
@@ -0,0 +1,30 @@
name: Lint for accessibility issues
on:
pull_request:
paths:
- 'client/src/**'
workflow_dispatch:
inputs:
run_workflow:
description: 'Set to true to run this workflow'
required: true
default: 'false'
permissions:
contents: read
pull-requests: write
jobs:
axe-linter:
runs-on: ubuntu-latest
if: >
(github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'danny-avila/LibreChat') ||
(github.event_name == 'workflow_dispatch' && github.event.inputs.run_workflow == 'true')
steps:
- uses: actions/checkout@v4
- uses: dequelabs/axe-linter-action@v1
with:
api_key: ${{ secrets.AXE_LINTER_API_KEY }}
github_token: ${{ secrets.GITHUB_TOKEN }}
@@ -0,0 +1,90 @@
name: Agents Integration Tests
# Runs the packages/api `src/agents/**` integration specs (e.g. the durable HITL
# checkpointer against a real in-process MongoDB via mongodb-memory-server). These
# are `*.integration.spec.ts`, which `test:ci` deliberately excludes — without this
# job they run nowhere and their regressions guard nothing.
on:
pull_request:
branches:
- main
- dev
- dev-staging
- release/*
paths:
- 'packages/api/src/agents/**'
- 'packages/api/package.json'
- '.github/workflows/agents-integration-tests.yml'
permissions:
contents: read
jobs:
agents_integration_tests:
name: Integration Tests that use in-process MongoDB
timeout-minutes: 20
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore data-schemas build cache
id: cache-data-schemas
uses: actions/cache@v4
with:
path: packages/data-schemas/dist
key: build-data-schemas-${{ runner.os }}-${{ hashFiles('packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-schemas
if: steps.cache-data-schemas.outputs.cache-hit != 'true'
run: npm run build:data-schemas
- name: Restore api build cache
id: cache-api
uses: actions/cache@v4
with:
path: packages/api/dist
key: build-api-${{ runner.os }}-${{ hashFiles('packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/tsdown.config.mjs', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json') }}
- name: Build api
if: steps.cache-api.outputs.cache-hit != 'true'
run: npm run build:api
- name: Run agents integration tests (in-process MongoDB)
working-directory: packages/api
env:
NODE_ENV: test
run: npm run test:agents-integration
+426
View File
@@ -0,0 +1,426 @@
name: Backend Unit Tests
on:
pull_request:
paths:
- 'api/**'
- 'packages/**'
permissions:
contents: read
env:
NODE_ENV: CI
NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
jobs:
build:
name: Build packages
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore data-schemas build cache
id: cache-data-schemas
uses: actions/cache@v4
with:
path: packages/data-schemas/dist
key: build-data-schemas-${{ runner.os }}-${{ hashFiles('packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-schemas
if: steps.cache-data-schemas.outputs.cache-hit != 'true'
run: npm run build:data-schemas
- name: Restore api build cache
id: cache-api
uses: actions/cache@v4
with:
path: packages/api/dist
key: build-api-${{ runner.os }}-${{ hashFiles('packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/tsdown.config.mjs', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json') }}
- name: Build api
if: steps.cache-api.outputs.cache-hit != 'true'
run: npm run build:api
- name: Upload data-provider build
uses: actions/upload-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
retention-days: 2
- name: Upload data-schemas build
uses: actions/upload-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
retention-days: 2
- name: Upload api build
uses: actions/upload-artifact@v4
with:
name: build-api
path: packages/api/dist
retention-days: 2
typecheck:
name: TypeScript type checks
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download data-schemas build
uses: actions/download-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
- name: Download api build
uses: actions/download-artifact@v4
with:
name: build-api
path: packages/api/dist
- name: Type check data-provider
run: npx tsc --noEmit -p packages/data-provider/tsconfig.json
- name: Type check data-schemas
run: npx tsc --noEmit -p packages/data-schemas/tsconfig.json
- name: Type check @librechat/api
run: npx tsc --noEmit -p packages/api/tsconfig.json
- name: Type check @librechat/client
run: npx tsc --noEmit -p packages/client/tsconfig.json
circular-deps:
name: Circular dependency checks
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download data-schemas build
uses: actions/download-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
- name: Rebuild @librechat/api and check for circular dependencies
run: |
output=$(npm run build:api 2>&1)
echo "$output"
if echo "$output" | grep -q "Circular depend"; then
echo "Error: Circular dependency detected in @librechat/api!"
exit 1
fi
- name: Detect circular dependencies in rollup
working-directory: ./packages/data-provider
run: |
output=$(npm run rollup:api)
echo "$output"
if echo "$output" | grep -q "Circular dependency"; then
echo "Error: Circular dependency detected!"
exit 1
fi
test-api:
name: 'Tests: api (shard ${{ matrix.shard }}/3)'
needs: build
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
shard: [1, 2, 3]
env:
MONGO_URI: ${{ secrets.MONGO_URI }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
JWT_SECRET: ${{ secrets.JWT_SECRET }}
CREDS_KEY: ${{ secrets.CREDS_KEY }}
CREDS_IV: ${{ secrets.CREDS_IV }}
BAN_VIOLATIONS: ${{ secrets.BAN_VIOLATIONS }}
BAN_DURATION: ${{ secrets.BAN_DURATION }}
BAN_INTERVAL: ${{ secrets.BAN_INTERVAL }}
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download data-schemas build
uses: actions/download-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
- name: Download api build
uses: actions/download-artifact@v4
with:
name: build-api
path: packages/api/dist
- name: Create empty auth.json file
run: |
mkdir -p api/data
echo '{}' > api/data/auth.json
- name: Prepare .env.test file
run: cp api/test/.env.test.example api/test/.env.test
- name: Run unit tests (shard ${{ matrix.shard }}/3)
run: cd api && npm run test:ci -- --shard=${{ matrix.shard }}/3
test-data-provider:
name: 'Tests: data-provider'
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Run unit tests
run: cd packages/data-provider && npm run test:ci
test-data-schemas:
name: 'Tests: data-schemas'
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download data-schemas build
uses: actions/download-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
- name: Run unit tests
run: cd packages/data-schemas && npm run test:ci
test-packages-api:
name: 'Tests: @librechat/api (shard ${{ matrix.shard }}/4)'
needs: build
runs-on: ubuntu-latest
# Suite typically completes in ~5 min on a warm runner, but tail-latency
# cancellations have started showing up: tests are actively passing right
# up to the timeout, then the job is killed mid-suite. Sharding splits the
# suite across runners; per-shard headroom still absorbs runner variance.
timeout-minutes: 20
strategy:
fail-fast: false
matrix:
shard: [1, 2, 3, 4]
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download data-schemas build
uses: actions/download-artifact@v4
with:
name: build-data-schemas
path: packages/data-schemas/dist
- name: Download api build
uses: actions/download-artifact@v4
with:
name: build-api
path: packages/api/dist
- name: Run unit tests (shard ${{ matrix.shard }}/4)
run: cd packages/api && npm run test:ci -- --shard=${{ matrix.shard }}/4
+41
View File
@@ -0,0 +1,41 @@
name: Linux_Container_Workflow
on:
workflow_dispatch:
permissions:
contents: read
env:
RUNNER_VERSION: 2.293.0
jobs:
build-and-push:
runs-on: ubuntu-latest
steps:
# checkout the repo
- name: 'Checkout GitHub Action'
uses: actions/checkout@v4
- name: 'Login via Azure CLI'
uses: azure/login@v2
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: 'Build GitHub Runner container image'
uses: docker/login-action@v3
with:
registry: ${{ secrets.REGISTRY_LOGIN_SERVER }}
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- run: |
docker build --build-arg RUNNER_VERSION=${{ env.RUNNER_VERSION }} -t ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }} .
- name: 'Push container image to ACR'
uses: docker/login-action@v3
with:
registry: ${{ secrets.REGISTRY_LOGIN_SERVER }}
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- run: |
docker push ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }}
@@ -0,0 +1,133 @@
name: Cache Integration Tests
on:
pull_request:
branches:
- main
- dev
- dev-staging
- release/*
paths:
- 'packages/api/src/cache/**'
- 'packages/api/src/cluster/**'
- 'packages/api/src/mcp/**'
- 'packages/api/src/stream/**'
- 'redis-config/**'
- '.github/workflows/cache-integration-tests.yml'
permissions:
contents: read
jobs:
cache_integration_tests:
name: Integration Tests that use actual Redis Cache
timeout-minutes: 30
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Install Redis tools
run: |
sudo apt-get update
sudo apt-get install -y redis-server redis-tools
- name: Start Single Redis Instance
run: |
redis-server --daemonize yes --port 6379
sleep 2
# Verify single Redis is running
redis-cli -p 6379 ping || exit 1
- name: Start Redis Cluster
working-directory: redis-config
run: |
chmod +x start-cluster.sh stop-cluster.sh
./start-cluster.sh
sleep 10
# Verify cluster is running
redis-cli -p 7001 cluster info || exit 1
redis-cli -p 7002 cluster info || exit 1
redis-cli -p 7003 cluster info || exit 1
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore data-schemas build cache
id: cache-data-schemas
uses: actions/cache@v4
with:
path: packages/data-schemas/dist
key: build-data-schemas-${{ runner.os }}-${{ hashFiles('packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-schemas
if: steps.cache-data-schemas.outputs.cache-hit != 'true'
run: npm run build:data-schemas
- name: Restore api build cache
id: cache-api
uses: actions/cache@v4
with:
path: packages/api/dist
key: build-api-${{ runner.os }}-${{ hashFiles('packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/tsdown.config.mjs', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json') }}
- name: Build api
if: steps.cache-api.outputs.cache-hit != 'true'
run: npm run build:api
- name: Run all cache integration tests (Single Redis Node)
working-directory: packages/api
env:
NODE_ENV: test
USE_REDIS: true
USE_REDIS_CLUSTER: false
REDIS_URI: redis://127.0.0.1:6379
run: npm run test:cache-integration
- name: Run all cache integration tests (Redis Cluster)
working-directory: packages/api
env:
NODE_ENV: test
USE_REDIS: true
USE_REDIS_CLUSTER: true
REDIS_URI: redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
run: npm run test:cache-integration
- name: Stop Redis Cluster
if: always()
working-directory: redis-config
run: ./stop-cluster.sh || true
- name: Stop Single Redis Instance
if: always()
run: redis-cli -p 6379 shutdown || true
+94
View File
@@ -0,0 +1,94 @@
name: Publish `@librechat/client` to NPM
on:
push:
branches:
- main
paths:
- 'packages/client/package.json'
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual publish requested'
permissions:
contents: read
jobs:
pack:
runs-on: ubuntu-latest
outputs:
skip: ${{ steps.check.outputs.skip }}
steps:
- uses: actions/checkout@v4
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Install client dependencies
run: cd packages/client && npm ci
- name: Build client
run: cd packages/client && npm run build
- name: Check version change
id: check
working-directory: packages/client
run: |
PACKAGE_VERSION=$(node -p "require('./package.json').version")
PUBLISHED_VERSION=$(npm view @librechat/client version 2>/dev/null || echo "0.0.0")
if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
echo "No version change, skipping publish"
echo "skip=true" >> $GITHUB_OUTPUT
else
echo "Version changed, proceeding with publish"
echo "skip=false" >> $GITHUB_OUTPUT
fi
- name: Pack package
if: steps.check.outputs.skip != 'true'
working-directory: packages/client
run: |
mkdir -p "$GITHUB_WORKSPACE/npm-package"
npm pack --pack-destination "$GITHUB_WORKSPACE/npm-package"
- name: Upload package
if: steps.check.outputs.skip != 'true'
uses: actions/upload-artifact@v4
with:
name: librechat-client-package
path: npm-package/*.tgz
if-no-files-found: error
retention-days: 2
publish-npm:
needs: pack
if: github.ref == 'refs/heads/main' && needs.pack.outputs.skip != 'true'
runs-on: ubuntu-latest
environment: publish # Must match npm trusted publisher config
permissions:
contents: read
id-token: write # Required for OIDC trusted publishing
steps:
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
registry-url: 'https://registry.npmjs.org'
- name: Install npm with OIDC support
run: npm install -g npm@11.14.1 --ignore-scripts
- name: Download package
uses: actions/download-artifact@v4
with:
name: librechat-client-package
path: npm-package
- name: Publish
working-directory: npm-package
run: npm publish *.tgz --access public --provenance
+88
View File
@@ -0,0 +1,88 @@
name: Config Migration Tests
on:
pull_request:
paths:
- 'config/**'
- 'api/models/**'
- 'api/db/**'
- 'packages/data-schemas/src/**'
- 'packages/data-provider/src/**'
- 'packages/api/src/acl/**'
- 'packages/api/src/shared-links/**'
env:
NODE_ENV: CI
NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
jobs:
test-config:
name: 'Tests: config migrations'
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
api/node_modules
packages/api/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
key: node-modules-backend-${{ runner.os }}-20.19-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore data-schemas build cache
id: cache-data-schemas
uses: actions/cache@v4
with:
path: packages/data-schemas/dist
key: build-data-schemas-${{ runner.os }}-${{ hashFiles('packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-schemas
if: steps.cache-data-schemas.outputs.cache-hit != 'true'
run: npm run build:data-schemas
- name: Restore api build cache
id: cache-api
uses: actions/cache@v4
with:
path: packages/api/dist
key: build-api-${{ runner.os }}-${{ hashFiles('packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/tsdown.config.mjs', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json') }}
- name: Build api
if: steps.cache-api.outputs.cache-hit != 'true'
run: npm run build:api
- name: Create empty auth.json file
run: |
mkdir -p api/data
echo '{}' > api/data/auth.json
- name: Prepare .env.test file
run: cp api/test/.env.test.example api/test/.env.test
- name: Run config migration tests
run: npm run test:config
+67
View File
@@ -0,0 +1,67 @@
name: Publish `librechat-data-provider` to NPM
on:
push:
branches:
- main
paths:
- 'packages/data-provider/package.json'
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual publish requested'
permissions:
contents: read
jobs:
pack:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- run: cd packages/data-provider && npm ci
- run: cd packages/data-provider && npm run build
- name: Pack package
run: |
mkdir -p npm-package
cd packages/data-provider
npm pack --pack-destination "$GITHUB_WORKSPACE/npm-package"
- name: Upload package
uses: actions/upload-artifact@v4
with:
name: librechat-data-provider-package
path: npm-package/*.tgz
if-no-files-found: error
retention-days: 2
publish-npm:
needs: pack
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
environment: publish # Must match npm trusted publisher config
permissions:
contents: read
id-token: write # Required for OIDC trusted publishing
steps:
- uses: actions/setup-node@v4
with:
node-version: '24.16.0'
registry-url: 'https://registry.npmjs.org'
- name: Install npm with OIDC support
run: npm install -g npm@11.14.1 --ignore-scripts
- name: Download package
uses: actions/download-artifact@v4
with:
name: librechat-data-provider-package
path: npm-package
- name: Publish package
working-directory: npm-package
run: npm publish *.tgz --provenance
+94
View File
@@ -0,0 +1,94 @@
name: Publish `@librechat/data-schemas` to NPM
on:
push:
branches:
- main
paths:
- 'packages/data-schemas/package.json'
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual publish requested'
permissions:
contents: read
jobs:
pack:
runs-on: ubuntu-latest
outputs:
skip: ${{ steps.check.outputs.skip }}
steps:
- uses: actions/checkout@v4
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Install dependencies
run: cd packages/data-schemas && npm ci
- name: Build
run: cd packages/data-schemas && npm run build
- name: Check version change
id: check
working-directory: packages/data-schemas
run: |
PACKAGE_VERSION=$(node -p "require('./package.json').version")
PUBLISHED_VERSION=$(npm view @librechat/data-schemas version 2>/dev/null || echo "0.0.0")
if [ "$PACKAGE_VERSION" = "$PUBLISHED_VERSION" ]; then
echo "No version change, skipping publish"
echo "skip=true" >> $GITHUB_OUTPUT
else
echo "Version changed, proceeding with publish"
echo "skip=false" >> $GITHUB_OUTPUT
fi
- name: Pack package
if: steps.check.outputs.skip != 'true'
working-directory: packages/data-schemas
run: |
mkdir -p "$GITHUB_WORKSPACE/npm-package"
npm pack --pack-destination "$GITHUB_WORKSPACE/npm-package"
- name: Upload package
if: steps.check.outputs.skip != 'true'
uses: actions/upload-artifact@v4
with:
name: librechat-data-schemas-package
path: npm-package/*.tgz
if-no-files-found: error
retention-days: 2
publish-npm:
needs: pack
if: github.ref == 'refs/heads/main' && needs.pack.outputs.skip != 'true'
runs-on: ubuntu-latest
environment: publish # Must match npm trusted publisher config
permissions:
contents: read
id-token: write # Required for OIDC trusted publishing
steps:
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
registry-url: 'https://registry.npmjs.org'
- name: Install npm with OIDC support
run: npm install -g npm@11.14.1 --ignore-scripts
- name: Download package
uses: actions/download-artifact@v4
with:
name: librechat-data-schemas-package
path: npm-package
- name: Publish
working-directory: npm-package
run: npm publish *.tgz --access public --provenance
+49
View File
@@ -0,0 +1,49 @@
name: Update Test Server
on:
workflow_run:
workflows: ["Docker Dev Branch Images Build"]
types:
- completed
workflow_dispatch:
permissions:
contents: read
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.repository == 'danny-avila/LibreChat' &&
(github.event_name == 'workflow_dispatch' ||
(github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.head_branch == 'dev'))
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Install SSH Key
uses: shimataro/ssh-key-action@v2
with:
key: ${{ secrets.DO_SSH_PRIVATE_KEY }}
known_hosts: ${{ secrets.DO_KNOWN_HOSTS }}
- name: Run update script on DigitalOcean Droplet
env:
DO_HOST: ${{ secrets.DO_HOST }}
DO_USER: ${{ secrets.DO_USER }}
run: |
ssh ${DO_USER}@${DO_HOST} << EOF
sudo -i -u danny bash << 'EEOF'
cd ~/LibreChat && \
git fetch origin main && \
sudo npm run stop:deployed && \
sudo docker images --format "{{.Repository}}:{{.ID}}" | grep -E "lc-dev|librechat" | cut -d: -f2 | xargs -r sudo docker rmi -f || true && \
sudo npm run update:deployed && \
git checkout dev && \
git pull origin dev && \
git checkout do-deploy && \
git rebase dev && \
sudo npm run start:deployed && \
echo "Update completed. Application should be running now."
EEOF
EOF
+41
View File
@@ -0,0 +1,41 @@
name: Deploy_GHRunner_Linux_ACI
on:
workflow_dispatch:
permissions:
contents: read
env:
RUNNER_VERSION: 2.293.0
ACI_RESOURCE_GROUP: 'Demo-ACI-GitHub-Runners-RG'
ACI_NAME: 'gh-runner-linux-01'
DNS_NAME_LABEL: 'gh-lin-01'
GH_OWNER: ${{ github.repository_owner }}
GH_REPOSITORY: 'LibreChat' #Change here to deploy self hosted runner ACI to another repo.
jobs:
deploy-gh-runner-aci:
runs-on: ubuntu-latest
steps:
# checkout the repo
- name: 'Checkout GitHub Action'
uses: actions/checkout@v4
- name: 'Login via Azure CLI'
uses: azure/login@v2
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: 'Deploy to Azure Container Instances'
uses: 'azure/aci-deploy@v1'
with:
resource-group: ${{ env.ACI_RESOURCE_GROUP }}
image: ${{ secrets.REGISTRY_LOGIN_SERVER }}/pwd9000-github-runner-lin:${{ env.RUNNER_VERSION }}
registry-login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }}
registry-username: ${{ secrets.REGISTRY_USERNAME }}
registry-password: ${{ secrets.REGISTRY_PASSWORD }}
name: ${{ env.ACI_NAME }}
dns-name-label: ${{ env.DNS_NAME_LABEL }}
environment-variables: GH_TOKEN=${{ secrets.PAT_TOKEN }} GH_OWNER=${{ env.GH_OWNER }} GH_REPOSITORY=${{ env.GH_REPOSITORY }}
location: 'eastus'
+95
View File
@@ -0,0 +1,95 @@
name: Docker Dev Branch Images Build
on:
workflow_dispatch:
push:
branches:
- dev
paths:
- 'api/**'
- 'client/**'
- 'packages/**'
- 'package.json'
- 'package-lock.json'
- 'Dockerfile'
- 'Dockerfile.multi'
permissions:
contents: read
packages: write
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-latest
timeout-minutes: 130
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: lc-dev-api
- target: node
file: Dockerfile
image_name: lc-dev
steps:
# Check out the repository
- name: Checkout
uses: actions/checkout@v4
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
- name: Compute build metadata
run: |
echo "BUILD_COMMIT=${{ github.sha }}" >> $GITHUB_ENV
echo "BUILD_BRANCH=${{ github.ref_name }}" >> $GITHUB_ENV
echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: |
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}
build-args: |
BUILD_COMMIT=${{ env.BUILD_COMMIT }}
BUILD_BRANCH=${{ env.BUILD_BRANCH }}
BUILD_DATE=${{ env.BUILD_DATE }}
+91
View File
@@ -0,0 +1,91 @@
name: Docker Dev Images Build
on:
workflow_dispatch:
push:
branches:
- main
paths:
- 'api/**'
- 'client/**'
- 'packages/**'
- 'package.json'
- 'package-lock.json'
- 'Dockerfile'
- 'Dockerfile.multi'
permissions:
contents: read
packages: write
jobs:
build:
runs-on: ubuntu-latest
timeout-minutes: 130
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: librechat-dev-api
- target: node
file: Dockerfile
image_name: librechat-dev
steps:
# Check out the repository
- name: Checkout
uses: actions/checkout@v4
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
- name: Compute build metadata
run: |
echo "BUILD_COMMIT=${{ github.sha }}" >> $GITHUB_ENV
echo "BUILD_BRANCH=${{ github.ref_name }}" >> $GITHUB_ENV
echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: |
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}
build-args: |
BUILD_COMMIT=${{ env.BUILD_COMMIT }}
BUILD_BRANCH=${{ env.BUILD_BRANCH }}
BUILD_DATE=${{ env.BUILD_DATE }}
+79
View File
@@ -0,0 +1,79 @@
name: Docker Dev Staging Images Build
on:
workflow_dispatch:
permissions:
contents: read
packages: write
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: lc-dev-staging-api
- target: node
file: Dockerfile
image_name: lc-dev-staging
steps:
# Check out the repository
- name: Checkout
uses: actions/checkout@v4
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
- name: Compute build metadata
run: |
echo "BUILD_COMMIT=${{ github.sha }}" >> $GITHUB_ENV
echo "BUILD_BRANCH=${{ github.ref_name }}" >> $GITHUB_ENV
echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: |
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}
build-args: |
BUILD_COMMIT=${{ env.BUILD_COMMIT }}
BUILD_BRANCH=${{ env.BUILD_BRANCH }}
BUILD_DATE=${{ env.BUILD_DATE }}
+128
View File
@@ -0,0 +1,128 @@
name: Docker Build Smoke Tests
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/docker-smoke.yml'
- '.dockerignore'
- 'Dockerfile.multi'
- 'package.json'
- 'package-lock.json'
- 'api/**'
- 'client/**'
- 'config/**'
- 'skill/**'
- 'packages/api/**'
- 'packages/client/**'
- 'packages/data-provider/**'
- 'packages/data-schemas/**'
permissions:
contents: read
concurrency:
group: docker-smoke-${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
client-package-target:
name: Build Docker client package target
runs-on: ubuntu-latest
timeout-minutes: 25
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build client package target
uses: docker/build-push-action@v5
with:
context: .
file: Dockerfile.multi
platforms: linux/amd64
push: false
target: client-package-build
api-runtime-smoke:
name: API runtime smoke (production image boots)
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Build the real production image (final `api-build` stage), which installs
# with `npm ci --omit=dev` — the same prune that, in prod, exposed runtime
# dependencies the tsdown bundle externalizes but were never declared.
- name: Build production image
uses: docker/build-push-action@v5
with:
context: .
file: Dockerfile.multi
platforms: linux/amd64
push: false
load: true
tags: librechat-api-smoke:ci
cache-from: type=gha,scope=docker-smoke-api
cache-to: type=gha,mode=max,scope=docker-smoke-api
# Loads the entire externalized require graph of the built @librechat/api
# bundle inside the pruned production image. A missing or ESM-incompatible
# runtime dependency (e.g. the `get-stream` regression) fails here with a
# non-zero exit — deterministically, with no database required.
- name: Verify production image resolves all runtime modules
run: |
docker run --rm librechat-api-smoke:ci \
node -e "require('@librechat/api'); require('@librechat/api/telemetry'); console.log('module resolution OK')"
# Boot the real entrypoint against a real MongoDB so the *entire* server
# require graph loads (api/db throws at module scope without MONGO_URI, and
# is imported before models/services/routes), then gate on /readyz AND the
# container staying alive. /readyz only returns 200 after the post-listen
# startup (initializeMCPs + checkMigrations) sets serverReady, and those
# steps process.exit(1) on failure — so ANY startup crash (missing module,
# ReferenceError, bad config, post-listen failure) fails the smoke.
- name: Boot production image against MongoDB and poll /readyz
run: |
set -u
docker network create lc-smoke
docker run -d --name lc-mongo --network lc-smoke mongo:8.0.20
docker run -d --name lc-api --network lc-smoke -p 3080:3080 \
-e HOST=0.0.0.0 -e PORT=3080 \
-e NODE_ENV=production \
-e MONGO_URI=mongodb://lc-mongo:27017/LibreChat \
-e CREDS_KEY=0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef \
-e CREDS_IV=0123456789abcdef0123456789abcdef \
-e JWT_SECRET=docker-smoke-jwt-secret \
-e JWT_REFRESH_SECRET=docker-smoke-jwt-refresh-secret \
-e SEARCH=false \
librechat-api-smoke:ci
healthy=""
for i in $(seq 1 60); do
if [ "$(docker inspect -f '{{.State.Running}}' lc-api 2>/dev/null)" != "true" ]; then
echo "::error::API container exited during startup (exit code $(docker inspect -f '{{.State.ExitCode}}' lc-api 2>/dev/null))"
break
fi
if [ "$(curl -sS -o /dev/null -w '%{http_code}' http://localhost:3080/readyz 2>/dev/null || true)" = "200" ]; then
healthy="yes"
echo "/readyz returned 200 — server fully booted (post-listen startup complete)."
break
fi
sleep 2
done
echo "----- last 100 lines of api container logs -----"
docker logs lc-api 2>&1 | tail -100 || true
echo "------------------------------------------------"
docker rm -f lc-api lc-mongo >/dev/null 2>&1 || true
docker network rm lc-smoke >/dev/null 2>&1 || true
if [ -z "$healthy" ]; then
echo "::error::Production image failed to reach a ready /readyz within timeout"
exit 1
fi
+128
View File
@@ -0,0 +1,128 @@
name: ESLint Code Quality Checks
on:
pull_request:
branches:
- main
- dev
- dev-staging
- release/*
paths:
- 'api/**'
- 'client/**'
- 'packages/**'
- '.github/workflows/eslint-ci.yml'
jobs:
eslint_checks:
name: Run ESLint Linting
runs-on: ubuntu-latest
permissions:
contents: read
security-events: write
actions: read
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
cache: npm
- name: Install dependencies
run: npm ci
# Run ESLint on changed files within the api/, client/, and packages/ directories.
- name: Run ESLint on changed files
run: |
# Extract the base commit SHA from the pull_request event payload.
BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
echo "Base commit SHA: $BASE_SHA"
# Get changed files (only JS/TS files in api/, client/, or packages/)
mapfile -d '' -t CHANGED_FILES < <(
git diff -z --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD |
grep -zE '^(api|client|packages)/.*\.(js|jsx|ts|tsx)$' || true
)
# Debug output
echo "Changed files:"
printf '%s\n' "${CHANGED_FILES[@]}"
# Ensure there are files to lint before running ESLint
if [[ ${#CHANGED_FILES[@]} -eq 0 ]]; then
echo "No matching files changed. Skipping ESLint."
exit 0
fi
# Run ESLint
npx eslint --no-error-on-unmatched-pattern \
--config eslint.config.mjs \
--max-warnings=0 \
-- "${CHANGED_FILES[@]}"
# Run Prettier --check on the same set of changed files to catch
# formatting drift in PRs that bypassed the local pre-commit hook
# (e.g. GitHub UI edit-and-merge, `git commit --no-verify`).
- name: Run Prettier --check on changed files
run: |
BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
mapfile -d '' -t CHANGED_FILES < <(
git diff -z --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD |
grep -zE '^(api|client|packages)/.*\.(js|jsx|ts|tsx)$' || true
)
if [[ ${#CHANGED_FILES[@]} -eq 0 ]]; then
echo "No matching files changed. Skipping Prettier."
exit 0
fi
echo "Files to check:"
printf '%s\n' "${CHANGED_FILES[@]}"
# `prettier --check` exits non-zero if any file would be reformatted.
# Suggest the local fix in the failure message so contributors aren't
# left guessing how to resolve.
if ! npx prettier --check --no-error-on-unmatched-pattern -- "${CHANGED_FILES[@]}"; then
echo ""
echo "::error::Prettier formatting drift detected. Fix locally with:"
echo "::error:: npx prettier --write <files>"
echo "::error::Or rely on the lint-staged pre-commit hook (do not bypass with --no-verify)."
exit 1
fi
# Verify import ordering on the same set of changed files. The script
# only sorts files under known source roots, so unrelated changed files
# (configs, etc.) are ignored. Matches the lint-staged pre-commit hook.
- name: Check import sorting on changed files
run: |
BASE_SHA=$(jq --raw-output .pull_request.base.sha "$GITHUB_EVENT_PATH")
mapfile -d '' -t CHANGED_FILES < <(
git diff -z --name-only --diff-filter=ACMRTUXB "$BASE_SHA" HEAD |
grep -zE '^(api|client|packages)/.*\.(js|jsx|ts|tsx)$' || true
)
if [[ ${#CHANGED_FILES[@]} -eq 0 ]]; then
echo "No matching files changed. Skipping import-sort check."
exit 0
fi
echo "Files to check:"
printf '%s\n' "${CHANGED_FILES[@]}"
# `--check` lists offending files and exits non-zero without writing.
if ! node scripts/sort-imports.mts --check "${CHANGED_FILES[@]}"; then
echo ""
echo "::error::Import order drift detected. Fix locally with:"
echo "::error:: npm run sort-imports"
echo "::error::For specific files:"
echo "::error:: npm run sort-imports -- packages/api/src/app/metrics.ts packages/api/src/rum/proxy.ts"
echo "::error::To check without writing files:"
echo "::error:: npm run sort-imports:check"
echo "::error::Or rely on the lint-staged pre-commit hook (do not bypass with --no-verify)."
exit 1
fi
+300
View File
@@ -0,0 +1,300 @@
name: Frontend Unit Tests
on:
pull_request:
paths:
- 'client/**'
- 'packages/client/**'
- 'packages/data-provider/**'
- '.github/workflows/frontend-review.yml'
permissions:
contents: read
env:
NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
jobs:
build:
name: Build packages
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore client-package build cache
id: cache-client-package
uses: actions/cache@v4
with:
path: packages/client/dist
key: build-client-package-${{ runner.os }}-${{ hashFiles('packages/client/src/**', 'packages/client/tsconfig*.json', 'packages/client/tsdown.config.mjs', 'packages/client/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build client-package
if: steps.cache-client-package.outputs.cache-hit != 'true'
run: npm run build:client-package
- name: Upload data-provider build
uses: actions/upload-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
retention-days: 2
- name: Upload client-package build
uses: actions/upload-artifact@v4
with:
name: build-client-package
path: packages/client/dist
retention-days: 2
typecheck:
name: TypeScript type checks (client)
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download client-package build
uses: actions/download-artifact@v4
with:
name: build-client-package
path: packages/client/dist
- name: Type check client
run: npm run typecheck
working-directory: client
test-packages-client:
name: 'Tests: @librechat/client'
needs: build
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Run unit tests
run: npm run test:ci
working-directory: packages/client
test-ubuntu:
name: 'Tests: Ubuntu (shard ${{ matrix.shard }}/4)'
needs: build
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
shard: [1, 2, 3, 4]
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download client-package build
uses: actions/download-artifact@v4
with:
name: build-client-package
path: packages/client/dist
- name: Run unit tests (shard ${{ matrix.shard }}/4)
run: npm run test:ci -- --shard=${{ matrix.shard }}/4
working-directory: client
test-windows:
name: 'Tests: Windows (shard ${{ matrix.shard }}/4)'
needs: build
runs-on: windows-latest
timeout-minutes: 20
strategy:
fail-fast: false
matrix:
shard: [1, 2, 3, 4]
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download client-package build
uses: actions/download-artifact@v4
with:
name: build-client-package
path: packages/client/dist
- name: Run unit tests (shard ${{ matrix.shard }}/4)
run: npm run test:ci -- --shard=${{ matrix.shard }}/4
working-directory: client
build-verify:
name: Vite build verification
needs: build
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
key: node-modules-frontend-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Download data-provider build
uses: actions/download-artifact@v4
with:
name: build-data-provider
path: packages/data-provider/dist
- name: Download client-package build
uses: actions/download-artifact@v4
with:
name: build-client-package
path: packages/client/dist
- name: Build client
run: cd client && npm run build:ci
+23
View File
@@ -0,0 +1,23 @@
name: 'generate_embeddings'
on:
workflow_dispatch:
push:
branches:
- main
paths:
- 'docs/**'
permissions:
contents: read
jobs:
generate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: supabase/embeddings-generator@v0.0.5
with:
supabase-url: ${{ secrets.SUPABASE_URL }}
supabase-service-role-key: ${{ secrets.SUPABASE_SERVICE_ROLE_KEY }}
openai-key: ${{ secrets.OPENAI_DOC_EMBEDDINGS_KEY }}
docs-root-path: 'docs'
+91
View File
@@ -0,0 +1,91 @@
# Removes a PR's GitNexus index from the droplet when the PR is closed
# (merged or not). The deploy workflow also prunes stale folders as a
# safety net, but this gives us immediate cleanup without waiting for
# the next deploy trigger.
name: GitNexus Cleanup PR
on:
pull_request:
types: [closed]
permissions:
contents: read
actions: read
concurrency:
group: gitnexus-cleanup-pr-${{ github.event.pull_request.number }}
cancel-in-progress: false
jobs:
cleanup:
# Skip fork PRs entirely. GitHub withholds repository secrets from
# pull_request events originating on forks, so an SSH deploy job run
# from a fork close would fail noisily. The deploy workflow's stale-
# folder pruning step catches any fork-contributor indexes that
# actually made it onto the droplet.
if: github.event.pull_request.head.repo.full_name == github.repository
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
# Skip the SSH round-trip entirely when no index artifact was ever
# built for this PR (docs-only PRs, paths-ignored PRs, PRs closed
# before indexing finished, etc). Eliminates ~95% of no-op SSH
# sessions on a busy repo.
- name: Check for index artifact
id: check
uses: actions/github-script@v7
with:
script: |
const { data } = await github.rest.actions.listArtifactsForRepo({
owner: context.repo.owner,
repo: context.repo.repo,
name: `gitnexus-index-pr-${context.payload.pull_request.number}`,
per_page: 1,
});
const hasArtifact = data.total_count > 0;
core.info(`Artifact exists: ${hasArtifact}`);
core.setOutput('has_artifact', hasArtifact ? 'true' : 'false');
- name: Setup SSH
if: steps.check.outputs.has_artifact == 'true'
env:
SSH_KEY: ${{ secrets.GITNEXUS_DO_SSH_KEY }}
KNOWN_HOST: ${{ secrets.GITNEXUS_DO_KNOWN_HOST }}
run: |
set -e
mkdir -p ~/.ssh
chmod 700 ~/.ssh
printf '%s\n' "$SSH_KEY" > ~/.ssh/deploy_key
chmod 600 ~/.ssh/deploy_key
if [ -z "$KNOWN_HOST" ]; then
echo "::error::GITNEXUS_DO_KNOWN_HOST secret is empty"
exit 1
fi
printf '%s\n' "$KNOWN_HOST" > ~/.ssh/known_hosts
chmod 600 ~/.ssh/known_hosts
- name: Remove PR index from droplet
if: steps.check.outputs.has_artifact == 'true'
env:
SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
PR_NUM: ${{ github.event.pull_request.number }}
run: |
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" PR_NUM="$PR_NUM" bash <<'REMOTE'
set -e
TARGET="/opt/gitnexus/indexes/LibreChat-pr-$PR_NUM"
if [ -d "$TARGET" ]; then
echo "Removing $TARGET"
rm -rf "$TARGET"
cd /opt/gitnexus
docker compose up -d --force-recreate gitnexus
echo "GitNexus restarted without PR #$PR_NUM"
else
echo "No index to clean up for PR #$PR_NUM (artifact existed but droplet folder did not)"
fi
REMOTE
- name: Cleanup SSH key
if: always()
run: rm -f ~/.ssh/deploy_key
+583
View File
@@ -0,0 +1,583 @@
# Deploys GitNexus indexes to a droplet via SSH + rsync.
#
# Architecture:
# GitHub Actions (deploy)
# 1. Resolves latest successful index runs for main and dev
# 2. Downloads each matching .gitnexus/ artifact
# 3. Rsyncs them into /opt/gitnexus/indexes/<name>/ on the droplet
# 4. Removes any stale folders on the droplet that are not main/dev
# 5. Pulls latest image, force-recreates gitnexus, reloads Caddy,
# and polls docker health until the container reports healthy
# The caddy container is untouched — no TLS churn.
#
# First-time droplet bootstrap (run once, manually):
# 1. Create 2GB+ Ubuntu 24.04 droplet, add SSH key
# 2. Point DNS A record for your subdomain at the droplet IP
# 3. SSH in and run:
# curl -fsSL https://get.docker.com | sh
# systemctl enable --now docker
# mkdir -p /opt/gitnexus/indexes
# useradd -m -s /bin/bash deploy
# usermod -aG docker deploy
# mkdir -p /home/deploy/.ssh
# # Add deploy pubkey to /home/deploy/.ssh/authorized_keys
# chown -R deploy:deploy /home/deploy/.ssh /opt/gitnexus
# chmod 700 /home/deploy/.ssh
# ufw allow 22,80,443/tcp
# ufw --force enable
# 4. Copy .do/gitnexus/docker-compose.yml and Caddyfile into /opt/gitnexus/
# 5. Create /opt/gitnexus/.env with: GITNEXUS_DOMAIN=... and API_TOKEN=...
# 6. cd /opt/gitnexus && docker compose up -d
#
# Then capture the droplet's SSH host key from your workstation and
# save it as the GITNEXUS_DO_KNOWN_HOST secret (below) so CI can pin it:
# ssh-keyscan -H gitnexus.yourdomain.com
#
# GHCR image: the workflow runs `docker login ghcr.io` on the droplet
# on every deploy using GITHUB_TOKEN, so the package can stay private.
# If you'd rather not have CI manage droplet auth, make the package
# public under repo Settings -> Packages.
#
# Required GitHub secrets:
# GITNEXUS_DO_HOST — droplet IP or hostname
# GITNEXUS_DO_USER — SSH user (e.g. "deploy")
# GITNEXUS_DO_SSH_KEY — private key matching the authorized pubkey
# GITNEXUS_DO_KNOWN_HOST — output of `ssh-keyscan -H <host>` pinning the
# droplet's host keys (prevents MITM/TOFU risk)
name: GitNexus Deploy
on:
workflow_run:
workflows: ['GitNexus Index']
types: [completed]
workflow_dispatch:
inputs:
pr_number:
description: 'Optional PR number for status comments from bot-triggered dispatches'
type: string
default: ''
permissions:
actions: read
contents: read
pull-requests: write # post status comments on PR command dispatches
# Global serialization. Earlier versions used per-ref concurrency with
# cancel-in-progress so rapid pushes to the same ref coalesced but deploys
# targeting different refs ran in parallel. That had a data race: the
# prune-stale-indexes step computes its active_names up front, so if
# deploy A is rsyncing /opt/gitnexus/indexes/LibreChat-pr-12580 while
# deploy B (started slightly later with a different ref) prunes, B can
# rm -rf a folder A is still uploading into.
#
# All deploys now queue behind a single group. cancel-in-progress is
# false so a running rsync/docker-compose restart never gets killed
# mid-operation (which would leave the droplet in a partial state).
# The 20-minute job timeout bounds total queue depth.
concurrency:
group: gitnexus-deploy
cancel-in-progress: false
env:
GITNEXUS_VERSION: '1.6.7'
IMAGE_NAME: ghcr.io/${{ github.repository_owner }}/librechat-gitnexus
jobs:
# Rebuilds the long-lived image only when Dockerfile/entrypoint/extensions
# change. Skipped on every other run, so index-only deploys are fast.
build-image:
if: |
github.event_name == 'workflow_dispatch' ||
(
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.event == 'push' &&
(github.event.workflow_run.head_branch == 'main' ||
github.event.workflow_run.head_branch == 'dev')
)
runs-on: ubuntu-latest
timeout-minutes: 20
permissions:
contents: read
packages: write # push image to GHCR
outputs:
image_tag: ${{ steps.tag.outputs.value }}
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 2
- name: Detect image changes
id: changes
run: |
# Default to rebuild when we can't cleanly diff (first commit,
# workflow_run from a PR branch where HEAD isn't the trigger, etc).
# Rebuild on miss > skip when we should have rebuilt.
if git rev-parse --verify HEAD~1 >/dev/null 2>&1 && \
git diff --quiet HEAD~1 HEAD -- .do/gitnexus/Dockerfile .do/gitnexus/entrypoint.sh .do/gitnexus/install-extensions.js; then
echo "changed=false" >> "$GITHUB_OUTPUT"
else
echo "changed=true" >> "$GITHUB_OUTPUT"
fi
- name: Compute image tag
id: tag
run: echo "value=v${{ env.GITNEXUS_VERSION }}" >> "$GITHUB_OUTPUT"
- name: Set up Docker Buildx
if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
uses: docker/setup-buildx-action@v3
- name: Log in to GHCR
if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push image
if: steps.changes.outputs.changed == 'true' || github.event_name == 'workflow_dispatch'
uses: docker/build-push-action@v5
with:
context: .do/gitnexus
file: .do/gitnexus/Dockerfile
push: true
tags: |
${{ env.IMAGE_NAME }}:latest
${{ env.IMAGE_NAME }}:${{ steps.tag.outputs.value }}
build-args: |
GITNEXUS_VERSION=${{ env.GITNEXUS_VERSION }}
cache-from: type=gha
cache-to: type=gha,mode=max
deploy:
needs: build-image
runs-on: ubuntu-latest
timeout-minutes: 20
permissions:
actions: read
contents: read
pull-requests: write # post deploy-complete comments on PR command dispatches
steps:
- name: Checkout deploy config
uses: actions/checkout@v4
with:
sparse-checkout: .do/gitnexus
fetch-depth: 1
# Resolve every index to serve. All resolutions go through
# listArtifactsForRepo keyed by the expected artifact name, so a
# run's branch or event type doesn't matter — we always pick the
# freshest artifact that actually exists.
#
# Why this matters: a /gitnexus index command dispatches
# gitnexus-index.yml with ref=main and an input pr_number, which
# produces a run whose head_branch is "main" but whose artifact
# is gitnexus-index-pr-<N>. listWorkflowRuns(branch='main') would
# happily return that run, and we'd then try to download a
# nonexistent gitnexus-index-main artifact from it. Querying by
# artifact name directly avoids the whole mess.
- name: Resolve indexes to serve
id: resolve
uses: actions/github-script@v7
with:
script: |
const serve = []; // [{ name, artifactName, runId }]
// Helper — pick the newest non-expired artifact matching a name.
const latestArtifact = async (artifactName) => {
const { data } = await github.rest.actions.listArtifactsForRepo({
owner: context.repo.owner,
repo: context.repo.repo,
name: artifactName,
per_page: 10,
});
return data.artifacts
.filter((a) => !a.expired)
.sort((a, b) => new Date(b.created_at) - new Date(a.created_at))[0];
};
// --- main and dev branches ---
for (const [branch, name] of [
['main', 'LibreChat'],
['dev', 'LibreChat-dev'],
]) {
const artifactName = `gitnexus-index-${branch}`;
const fresh = await latestArtifact(artifactName);
if (!fresh) {
core.warning(`No artifact found for ${branch} (expected ${artifactName})`);
continue;
}
serve.push({
name,
artifactName,
runId: fresh.workflow_run.id,
});
core.info(`${branch}: run ${fresh.workflow_run.id} -> ${name}`);
}
core.info('PR index deploys are paused; serving main and dev only.');
if (!serve.length) {
core.setFailed('No indexes to serve');
return;
}
core.setOutput('matrix', JSON.stringify(serve));
core.setOutput('active_names', serve.map((s) => s.name).join(','));
- name: Download each index artifact
env:
MATRIX: ${{ steps.resolve.outputs.matrix }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -e
mkdir -p staging
# main/dev artifact download failures are fatal — a missing
# main/dev index is a real deploy failure. PR artifact failures
# are soft — a PR artifact deleted mid-deploy shouldn't abort
# the whole deploy and take main/dev down with it.
echo "$MATRIX" | jq -c '.[]' | while read -r entry; do
name=$(echo "$entry" | jq -r '.name')
artifact=$(echo "$entry" | jq -r '.artifactName')
runId=$(echo "$entry" | jq -r '.runId')
target="staging/${name}/.gitnexus"
echo "Downloading $artifact from run $runId -> $target"
mkdir -p "$target"
if ! gh run download "$runId" \
--repo "${{ github.repository }}" \
--name "$artifact" \
--dir "$target"; then
case "$name" in
LibreChat|LibreChat-dev)
echo "::error::Failed to download critical artifact $artifact"
exit 1
;;
*)
# The name stays in active_names so the prune step
# won't remove the droplet's existing copy. The old
# index keeps being served instead of being wiped to
# nothing — stale beats empty — but observability
# requires an explicit notice since this path is
# invisible in the happy-path deploy log.
echo "::warning::Failed to download PR artifact $artifact — skipping fresh sync; previous index (if any) will continue being served from the droplet"
rm -rf "staging/${name}"
;;
esac
fi
done
echo ""
echo "Staged for rsync:"
du -sh staging/*/.gitnexus/ 2>/dev/null || echo "(none)"
- name: Setup SSH
env:
SSH_KEY: ${{ secrets.GITNEXUS_DO_SSH_KEY }}
KNOWN_HOST: ${{ secrets.GITNEXUS_DO_KNOWN_HOST }}
run: |
set -e
mkdir -p ~/.ssh
chmod 700 ~/.ssh
printf '%s\n' "$SSH_KEY" > ~/.ssh/deploy_key
chmod 600 ~/.ssh/deploy_key
# Pin the droplet's SSH host key from a repository secret instead
# of trusting whatever ssh-keyscan returns at deploy time. The
# secret is populated from `ssh-keyscan -H <host>` at bootstrap.
if [ -z "$KNOWN_HOST" ]; then
echo "::error::GITNEXUS_DO_KNOWN_HOST secret is empty. Run ssh-keyscan -H <host> and paste the output as this secret."
exit 1
fi
printf '%s\n' "$KNOWN_HOST" > ~/.ssh/known_hosts
chmod 600 ~/.ssh/known_hosts
- name: Authenticate droplet with GHCR
# GHCR packages pushed by GITHUB_TOKEN start private. The droplet
# pulls the image on every deploy, so we re-authenticate it here
# using the same short-lived token. If the package is public, this
# step is redundant but harmless.
#
# The token MUST travel through SSH stdin (not as a command arg)
# so it's never visible in the droplet's process table via
# /proc/<pid>/cmdline. `printf '%s'` is preferred over `echo`
# so the exact byte sequence sent is explicit — docker login
# tolerates a trailing newline but `printf` makes the intent
# obvious and portable across shells.
env:
SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GH_ACTOR: ${{ github.actor }}
run: |
printf '%s' "$GH_TOKEN" | ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
"docker login ghcr.io -u '$GH_ACTOR' --password-stdin"
- name: Upload config files
env:
SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
run: |
rsync -az -e "ssh -i ~/.ssh/deploy_key" \
.do/gitnexus/docker-compose.yml \
.do/gitnexus/Caddyfile \
"$SSH_USER@$SSH_HOST:/opt/gitnexus/"
- name: Prune stale indexes then sync fresh ones
env:
SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
ACTIVE_NAMES: ${{ steps.resolve.outputs.active_names }}
run: |
set -e
# ── Step 1: prune FIRST ────────────────────────────────
# Remove any folders on the droplet that aren't in the active set.
# This frees disk BEFORE rsyncing new data, which matters on a
# 10GB disk where each current index is ~400MB.
echo "Pruning stale indexes (keeping: $ACTIVE_NAMES)"
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
ACTIVE_NAMES="$ACTIVE_NAMES" bash <<'REMOTE'
set -e
cd /opt/gitnexus/indexes || exit 0
shopt -s nullglob
IFS=',' read -ra ACTIVE <<< "$ACTIVE_NAMES"
for dir in */; do
dir="${dir%/}"
keep=false
for a in "${ACTIVE[@]}"; do
if [ "$dir" = "$a" ]; then keep=true; break; fi
done
if [ "$keep" = false ]; then
echo "Removing stale index: $dir"
rm -rf "$dir"
fi
done
echo "Disk after prune:"
df -h / | tail -1
REMOTE
# ── Step 2: rsync-then-swap ─────────────────────────────
# Upload each index to a temp directory, then atomically swap
# it into place. If rsync fails, the old index survives intact
# and the partial temp dir is cleaned up — no production data
# is lost. The brief period where both old + new exist costs
# ~400MB of extra disk, but the prune step already freed
# space from evicted indexes so this fits on a 10GB disk.
for dir in staging/*/; do
[ -d "$dir" ] || continue
name=$(basename "$dir")
echo "Syncing $name (rsync-then-swap)"
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
"mkdir -p /opt/gitnexus/indexes/${name}.new"
if rsync -az -e "ssh -i ~/.ssh/deploy_key" \
"$dir" \
"$SSH_USER@$SSH_HOST:/opt/gitnexus/indexes/${name}.new/"; then
# Swap: remove old, rename new into place
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
"rm -rf /opt/gitnexus/indexes/$name && mv /opt/gitnexus/indexes/${name}.new /opt/gitnexus/indexes/$name"
echo " $name swapped successfully"
else
# Clean up the partial temp dir
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" \
"rm -rf /opt/gitnexus/indexes/${name}.new"
# main/dev are critical — abort the deploy so the failure
# is visible and the container isn't restarted with stale
# or missing data. PR indexes are best-effort.
case "$name" in
LibreChat|LibreChat-dev)
echo "::error::rsync failed for critical index $name — aborting deploy"
exit 1
;;
*)
echo "::warning::rsync failed for PR index $name — keeping previous index"
;;
esac
fi
done
- name: Pull image, restart gitnexus, reload Caddy, wait for healthy
env:
SSH_USER: ${{ secrets.GITNEXUS_DO_USER }}
SSH_HOST: ${{ secrets.GITNEXUS_DO_HOST }}
run: |
ssh -i ~/.ssh/deploy_key "$SSH_USER@$SSH_HOST" bash <<'REMOTE'
set -e
cd /opt/gitnexus
# ── Disk cleanup ──────────────────────────────────────
# Docker accumulates old image layers, dangling images, and
# build cache across deploys. This droplet is only ~8.7GB
# usable with a 700MB+ gitnexus image, so disk pressure is
# constant. Prune everything not used by currently-running
# containers BEFORE pulling the new image so the extract has
# room; the post-recreate prune below reclaims the old image.
echo "Disk before cleanup:"
df -h / | tail -1
# Omit --volumes: Caddy's caddy-data and caddy-config volumes
# hold TLS certificates and ACME state. If Caddy happens to be
# stopped when this runs (the workflow handles that case later),
# --volumes would wipe them, forcing Let's Encrypt re-issuance
# and risking rate-limit lockout (5 certs/domain/week).
docker system prune -af 2>/dev/null || true
echo "Disk after cleanup:"
df -h / | tail -1
# Fail fast if disk is critically low even after prune. The
# gitnexus image is ~700MB and shares most layers with the
# running one, so an incremental pull needs well under 1GB.
# 1536MB leaves headroom on this small droplet without the
# over-conservative 2GB guard aborting on a healthy box.
AVAIL_MB=$(df --output=avail -m / | tail -1 | tr -d ' ')
if [ "$AVAIL_MB" -lt 1536 ]; then
echo "::error::Disk critically low (${AVAIL_MB}MB free). Aborting deploy."
exit 1
fi
docker compose pull gitnexus
docker compose up -d --force-recreate gitnexus
# The previous gitnexus image is now dangling (the running
# container was recreated onto the freshly pulled image). The
# pre-pull prune above couldn't touch it because it was still
# in use at that point. Reclaim it now so the old generation
# doesn't accumulate — critical on this 10GB droplet.
docker image prune -f 2>/dev/null || true
# Reload Caddy in-place so a changed Caddyfile takes effect
# without losing TLS certs or restarting connections. If caddy
# isn't running yet (first-time bootstrap), bring it up.
if docker compose ps --status running caddy 2>/dev/null | grep -q caddy; then
echo "Reloading Caddy config"
docker compose exec -T caddy caddy reload --config /etc/caddy/Caddyfile || {
echo "Caddy reload failed — forcing restart"
docker compose up -d --force-recreate caddy
}
else
echo "Caddy not running — starting"
docker compose up -d caddy
fi
# Poll gitnexus health until ready or timeout. Docker's own
# unhealthy detection takes up to 150s (start_period 60s +
# retries 3 * interval 30s), so the poll ceiling must clear
# that to avoid false negatives when gitnexus legitimately
# takes ~2.5 min to warm up.
# Max wait = 36 sleeps * 5s = 180s (final iteration exits
# before its sleep on failure, so 37 iterations is the
# correct upper bound for a true 180s ceiling).
echo "Waiting for gitnexus to report healthy..."
for i in $(seq 1 37); do
STATUS=$(docker inspect --format='{{.State.Health.Status}}' gitnexus 2>/dev/null || echo unknown)
echo "[$i/37] gitnexus health: $STATUS"
if [ "$STATUS" = "healthy" ]; then
echo "gitnexus is healthy"
break
fi
if [ "$i" -eq 37 ]; then
echo "ERROR: gitnexus failed to become healthy after 180s"
docker compose ps
docker compose logs --tail 80 gitnexus
exit 1
fi
sleep 5
done
docker compose ps
echo "--- Caddy logs (last 20 lines) ---"
docker compose logs --tail 20 caddy || true
echo "--- GitNexus logs (last 30 lines) ---"
docker compose logs --tail 30 gitnexus || true
REMOTE
# When the deploy was triggered by a PR command path, post a
# terminal status comment on that one PR only. Two sub-cases:
#
# 1. workflow_run trigger: the PR's native auto-index run fired
# workflow_run, so github.event.workflow_run.id is the trigger.
# Find the matching PR via the matrix entry whose runId matches.
#
# 2. workflow_dispatch trigger with inputs.pr_number set: the
# index workflow's bot-fallback path dispatched us directly
# because workflow_run is suppressed for GITHUB_TOKEN triggers.
# Use inputs.pr_number as the comment target.
#
# Broadcast-commenting on every active PR would be noise — only the
# PR that asked for a fresh index gets a reply.
- name: Comment on PR — deploy complete
if: always()
uses: actions/github-script@v7
env:
MATRIX: ${{ steps.resolve.outputs.matrix }}
TRIGGER_RUN_ID: ${{ github.event.workflow_run.id }}
DISPATCH_PR_NUMBER: ${{ github.event.inputs.pr_number }}
DEPLOY_STATUS: ${{ job.status }}
with:
script: |
const deployUrl = `${context.serverUrl}/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}`;
const matrix = JSON.parse(process.env.MATRIX || '[]');
let prNum = null;
// Case 1: dispatched directly with pr_number (bot-fallback path)
if (process.env.DISPATCH_PR_NUMBER && process.env.DISPATCH_PR_NUMBER !== '') {
const dispatchPrRaw = process.env.DISPATCH_PR_NUMBER;
if (!/^\d+$/.test(dispatchPrRaw)) {
core.setFailed(`Invalid PR number: ${dispatchPrRaw}`);
return;
}
const dispatchPrNum = Number(dispatchPrRaw);
const servedPr = matrix.some((m) => m.name === `LibreChat-pr-${dispatchPrNum}`);
if (!servedPr) {
const body = [
'### GitNexus: PR deploy skipped',
'',
'PR-specific deploys are paused; only `LibreChat` and `LibreChat-dev` are currently served.',
`[Deploy run](${deployUrl})`,
].join('\n');
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: dispatchPrNum,
body,
});
return;
}
prNum = dispatchPrNum;
}
// Case 2: workflow_run trigger from a PR index run
else if (context.eventName === 'workflow_run') {
const triggerRunId = Number(process.env.TRIGGER_RUN_ID);
const match = matrix.find(
(m) => m.runId === triggerRunId && m.name.startsWith('LibreChat-pr-'),
);
if (match) {
prNum = parseInt(match.name.replace('LibreChat-pr-', ''), 10);
}
}
if (!prNum) {
core.info('No PR to comment on (trigger was not a PR-scoped index); skipping.');
return;
}
const ok = process.env.DEPLOY_STATUS === 'success';
const body = [
`### GitNexus: ${ok ? '🚀 deployed' : '❌ deploy failed'}`,
'',
ok
? `The \`LibreChat-pr-${prNum}\` index is now live on the MCP server.`
: `The deploy failed — the previous index (if any) continues to be served.`,
`[Deploy run](${deployUrl})`,
].join('\n');
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: prNum,
body,
});
- name: Cleanup SSH key
if: always()
run: rm -f ~/.ssh/deploy_key
+323
View File
@@ -0,0 +1,323 @@
name: GitNexus Index
on:
# PR branches are NOT auto-indexed — an embeddings run is too slow to
# spend on every PR push. Only main/dev are indexed automatically;
# individual PRs are indexed on demand via the /gitnexus command or a
# manual workflow_dispatch.
push:
branches: [main, dev]
paths-ignore: ['**.md', 'docs/**', 'LICENSE', '.github/**']
workflow_dispatch:
inputs:
embeddings:
description: 'Enable embedding generation (slow, increases index size)'
type: boolean
default: false
force:
description: 'Force full re-index'
type: boolean
default: false
# When invoked from the /gitnexus index PR command, the command
# workflow fills these so the index is built from the PR's head
# ref and uploaded under the PR-numbered artifact name.
pr_number:
description: 'PR number to index (set by /gitnexus command)'
type: string
default: ''
pr_ref:
description: 'Optional PR head ref to check out; defaults to refs/pull/<pr_number>/head when pr_number is set'
type: string
default: ''
deploy_after:
description: 'Dispatch GitNexus Deploy after a successful index run'
type: boolean
default: false
permissions:
contents: read
concurrency:
# When triggered by the /gitnexus command, group by PR number so rapid
# re-runs coalesce. Otherwise group by git ref as before.
group: gitnexus-${{ inputs.pr_number != '' && format('pr-{0}', inputs.pr_number) || github.ref }}
cancel-in-progress: true
env:
GITNEXUS_VERSION: '1.6.7'
jobs:
index:
permissions:
contents: read
pull-requests: read # read changed files to decide whether embeddings are needed
# Push + dispatch run unconditionally. The pull_request trigger is
# disabled (see `on:` above), so this never runs automatically on a
# PR. PRs are indexed on demand instead:
# - /gitnexus index (PR comment command, contributor-gated)
# - workflow_dispatch (manual dispatch from Actions UI)
# Both arrive as workflow_dispatch. The pull_request guard is kept as
# a safety net should the trigger ever be re-added.
if: |
github.event_name != 'pull_request' ||
github.event.pull_request.user.login == 'danny-avila'
runs-on: ubuntu-latest
# Embedding generation dominates the budget: ~45 min worst case on
# standard runners since the 1.6.x graph (~23k nodes) doubled vs 1.5.x.
timeout-minutes: 60
# Best-effort index: a tool-internal crash must not block PRs. Fail soft on
# PR events; push/dispatch runs still fail loudly so regressions stay visible.
continue-on-error: ${{ github.event_name == 'pull_request' }}
steps:
- name: Validate dispatch inputs
if: github.event_name == 'workflow_dispatch'
env:
PR_NUMBER: ${{ inputs.pr_number }}
PR_REF: ${{ inputs.pr_ref }}
run: |
set -euo pipefail
if [ -n "$PR_NUMBER" ]; then
if [[ ! "$PR_NUMBER" =~ ^[0-9]+$ ]]; then
echo "::error::pr_number must be numeric"
exit 1
fi
EXPECTED_REF="refs/pull/${PR_NUMBER}/head"
if [ -n "$PR_REF" ] && [ "$PR_REF" != "$EXPECTED_REF" ]; then
echo "::error::pr_ref must match ${EXPECTED_REF}"
exit 1
fi
elif [ -n "$PR_REF" ]; then
echo "::error::pr_ref requires pr_number"
exit 1
fi
- name: Resolve GitNexus flags
id: flags
env:
EVENT_NAME: ${{ github.event_name }}
ENABLE_EMBEDDINGS_INPUT: ${{ inputs.embeddings }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUM: ${{ github.event.pull_request.number }}
run: |
set -euo pipefail
# Decide whether to generate embeddings. Rules:
# push (main/dev) -> always embed
# pull_request -> embed ONLY when the PR changes files
# under paths that also trigger backend
# or frontend unit tests (api/, client/,
# packages/). Docs/config-only PRs skip
# embeddings to save ~3-5 min of CI.
# workflow_dispatch -> respect the explicit `embeddings` input
# (default false). This also covers the
# /gitnexus index [embeddings] command.
ENABLE_EMBEDDINGS=false
case "$EVENT_NAME" in
workflow_dispatch)
[ "$ENABLE_EMBEDDINGS_INPUT" = "true" ] && ENABLE_EMBEDDINGS=true
;;
push)
ENABLE_EMBEDDINGS=true
;;
pull_request)
CHANGED=$(gh api "repos/${{ github.repository }}/pulls/$PR_NUM/files" \
--paginate --jq '.[].filename' 2>/dev/null || echo "")
if printf '%s\n' "$CHANGED" | grep -qE '^(api/|client/|packages/)'; then
echo "PR #$PR_NUM touches unit-test paths (api|client|packages) — enabling embeddings"
ENABLE_EMBEDDINGS=true
else
echo "PR #$PR_NUM does not touch unit-test paths — graph-only index"
fi
;;
esac
if [ "$ENABLE_EMBEDDINGS" = "true" ]; then
echo "enable_embeddings=true" >> "$GITHUB_OUTPUT"
else
echo "enable_embeddings=false" >> "$GITHUB_OUTPUT"
fi
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Install GitNexus CLI
working-directory: ${{ runner.temp }}
env:
NPM_CONFIG_AUDIT: false
NPM_CONFIG_CACHE: ${{ runner.temp }}/gitnexus-npm-cache
NPM_CONFIG_FUND: false
NPM_CONFIG_GLOBALCONFIG: ${{ runner.temp }}/gitnexus-cli/global-npmrc
NPM_CONFIG_REGISTRY: https://registry.npmjs.org/
NPM_CONFIG_USERCONFIG: ${{ runner.temp }}/gitnexus-cli/.npmrc
run: |
set -euo pipefail
mkdir -p "$RUNNER_TEMP/gitnexus-cli" "$RUNNER_TEMP/gitnexus-npm-cache"
: > "$RUNNER_TEMP/gitnexus-cli/global-npmrc"
printf '%s\n' \
'registry=https://registry.npmjs.org/' \
'audit=false' \
'fund=false' \
> "$RUNNER_TEMP/gitnexus-cli/.npmrc"
# Keep GitNexus' native DB dependency deterministic in fresh CI installs.
npm install \
--prefix "$RUNNER_TEMP/gitnexus-cli" \
--no-save \
--no-package-lock \
"gitnexus@${{ env.GITNEXUS_VERSION }}" \
"@ladybugdb/core@0.17.1"
test -x "$RUNNER_TEMP/gitnexus-cli/node_modules/.bin/gitnexus"
- name: Checkout repository
uses: actions/checkout@v4
with:
# When the /gitnexus command dispatches us with a pr_ref, it's
# a refs/pull/<N>/head ref that GitHub mirrors into the base
# repo for every PR, so checkout works for fork PRs too. When
# pr_ref is empty (native push/pull_request), fall back to the
# default ref actions/checkout would use.
ref: ${{ inputs.pr_ref || (inputs.pr_number != '' && format('refs/pull/{0}/head', inputs.pr_number) || '') }}
fetch-depth: 1
persist-credentials: false
# HuggingFace throttles anonymous model downloads from shared GHA
# runner IPs (429s or stalled transfers). Cache the embedding model
# across runs so warm runs never touch HF at all.
- name: Cache HuggingFace embedding model
if: steps.flags.outputs.enable_embeddings == 'true'
uses: actions/cache@v4
with:
path: ${{ runner.temp }}/hf-cache
key: hf-model-snowflake-arctic-embed-xs-v1
- name: Run GitNexus Analyze
working-directory: ${{ runner.temp }}
env:
ENABLE_EMBEDDINGS: ${{ steps.flags.outputs.enable_embeddings }}
FORCE: ${{ inputs.force }}
GITNEXUS_BIN: ${{ runner.temp }}/gitnexus-cli/node_modules/.bin/gitnexus
# Fail soft in ~2 min on stalled downloads instead of eating the
# 25-min job budget; HF_TOKEN lifts the anonymous rate limit on
# cold-cache runs (empty when the secret is unset — safe no-op).
HF_DOWNLOAD_TIMEOUT_MS: '60000'
HF_HOME: ${{ runner.temp }}/hf-cache
HF_MAX_ATTEMPTS: '2'
HF_TOKEN: ${{ secrets.HF_TOKEN }}
NPM_CONFIG_AUDIT: false
NPM_CONFIG_CACHE: ${{ runner.temp }}/gitnexus-npm-cache
NPM_CONFIG_FUND: false
NPM_CONFIG_GLOBALCONFIG: ${{ runner.temp }}/gitnexus-cli/global-npmrc
NPM_CONFIG_REGISTRY: https://registry.npmjs.org/
NPM_CONFIG_USERCONFIG: ${{ runner.temp }}/gitnexus-cli/.npmrc
run: |
set -euo pipefail
FLAGS=(--skip-agents-md --verbose)
if [ "$ENABLE_EMBEDDINGS" = "true" ]; then
FLAGS+=(--embeddings)
fi
if [ "$FORCE" = "true" ]; then
FLAGS+=(--force)
fi
"$GITNEXUS_BIN" analyze "$GITHUB_WORKSPACE" "${FLAGS[@]}"
- name: Verify index
run: |
if [ ! -d ".gitnexus" ] || [ ! -f ".gitnexus/meta.json" ]; then
echo "::error::GitNexus index was not created"
exit 1
fi
echo "::group::Index metadata"
cat .gitnexus/meta.json
echo ""
echo "::endgroup::"
- name: Upload GitNexus index
uses: actions/upload-artifact@v4
with:
# Artifact naming order of precedence:
# 1. /gitnexus command dispatch: inputs.pr_number -> pr-<N>
# 2. Native pull_request event: github.event.pull_request.number
# 3. Push or manual dispatch without pr_number: github.ref_name
name: >-
gitnexus-index-${{
inputs.pr_number != ''
&& format('pr-{0}', inputs.pr_number)
|| (github.event_name == 'pull_request'
&& format('pr-{0}', github.event.pull_request.number)
|| github.ref_name)
}}
path: .gitnexus/
include-hidden-files: true
retention-days: 30
post-index:
needs: index
if: |
always() &&
(inputs.pr_number != '' ||
inputs.deploy_after)
runs-on: ubuntu-latest
timeout-minutes: 5
permissions:
contents: read
actions: write # dispatch gitnexus-deploy.yml when deploy_after is set
pull-requests: write # post completion comments for /gitnexus command runs
steps:
# GitHub suppresses workflow_run events for workflow runs triggered
# by GITHUB_TOKEN (to prevent recursive chaining). Dispatches without
# a PR number can still opt into a deploy by setting deploy_after=true.
- name: Trigger deploy workflow after non-PR dispatches
if: inputs.deploy_after && inputs.pr_number == '' && needs.index.result == 'success'
uses: actions/github-script@v7
with:
script: |
core.info('deploy_after=true; dispatching gitnexus-deploy.yml manually.');
await github.rest.actions.createWorkflowDispatch({
owner: context.repo.owner,
repo: context.repo.repo,
workflow_id: 'gitnexus-deploy.yml',
ref: 'main',
inputs: {
pr_number: '',
},
});
# Reply on the PR when the /gitnexus command path runs so the
# requester knows the index step finished. This fires when
# inputs.pr_number is set and reports the index job result.
- name: Comment on PR — index complete
if: inputs.pr_number != ''
uses: actions/github-script@v7
env:
EMBEDDINGS_INPUT: ${{ inputs.embeddings }}
INDEX_RESULT: ${{ needs.index.result }}
PR_NUMBER: ${{ inputs.pr_number }}
with:
script: |
const indexSucceeded = process.env.INDEX_RESULT === 'success';
const outcome = indexSucceeded ? '✅ indexed' : '❌ index failed';
const prNum = parseInt(process.env.PR_NUMBER || '', 10);
if (!Number.isSafeInteger(prNum)) {
core.setFailed(`Invalid PR number: ${process.env.PR_NUMBER}`);
return;
}
const runUrl = `${context.serverUrl}/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}`;
const embeddingsFlag = process.env.EMBEDDINGS_INPUT === 'true' ? 'with embeddings' : 'graph-only';
const body = [
`### GitNexus: ${outcome}`,
``,
`PR #${prNum} was indexed ${embeddingsFlag}.`,
`[Index run](${runUrl})`,
'',
indexSucceeded
? 'PR-specific deploys are paused; only `LibreChat` and `LibreChat-dev` are currently served.'
: '_Index run failed — the previous index (if any) continues to be served._',
].join('\n');
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: prNum,
body,
});
+141
View File
@@ -0,0 +1,141 @@
# Responds to `/gitnexus index` comments on pull requests.
#
# Gated to the same author_association roles (OWNER, MEMBER, COLLABORATOR)
# as the automatic PR index trigger, but applied to the COMMENTER, not
# the PR author. This intentionally lets a contributor index a PR from
# a non-contributor / first-time fork author — the contributor takes
# responsibility for the trust boundary by typing the command.
#
# When a matching comment lands on a PR, this workflow dispatches
# `gitnexus-index.yml` with the PR number and the `refs/pull/<N>/head`
# ref so indexing works for fork PRs too (GitHub mirrors every PR's
# head ref into the base repo regardless of which fork it originated
# from, so actions/checkout can always resolve it).
#
# Use cases:
# - Re-index a PR after a rebase without pushing a new commit
# - Index a docs-only PR that was skipped by paths-ignore
# - Index a non-contributor (fork) PR that the auto-trigger skipped
# - Re-run a failed index
#
# Supported commands:
# /gitnexus index — index the PR with embeddings (default)
# /gitnexus index embeddings — explicit form of the above; same effect
# /gitnexus index fast — graph-only index (skip embeddings), for
# a quick re-index without waiting ~5 min
# of embedding generation
name: GitNexus PR Command
on:
issue_comment:
types: [created]
permissions:
contents: read
pull-requests: write
actions: write # needed to dispatch gitnexus-index.yml
concurrency:
group: gitnexus-pr-command-${{ github.event.issue.number }}
cancel-in-progress: false
jobs:
dispatch:
# Only run for PR comments that start with /gitnexus from trusted
# commenters. Intentionally checks the COMMENTER's association so a
# contributor can index a non-contributor's PR on demand.
if: |
github.event.issue.pull_request != null &&
startsWith(github.event.comment.body, '/gitnexus') &&
(github.event.comment.author_association == 'OWNER' ||
github.event.comment.author_association == 'MEMBER' ||
github.event.comment.author_association == 'COLLABORATOR')
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- name: Parse command and resolve PR head ref
id: parse
uses: actions/github-script@v7
with:
script: |
const body = context.payload.comment.body.trim();
const match = body.match(/^\/gitnexus\s+(\w+)(?:\s+(\w+))?/);
if (!match) {
core.setFailed(`Unrecognized command: ${body}. Try: /gitnexus index [fast]`);
return;
}
const [, subcommand, modifier] = match;
if (subcommand !== 'index') {
core.setFailed(`Unknown subcommand: ${subcommand}. Only 'index' is supported.`);
return;
}
// Default to embeddings on — a contributor typing the command
// has already decided they want a full re-index. The `fast`
// modifier is the explicit opt-out for graph-only runs.
// `embeddings` is accepted as a no-op alias for backwards
// compat with the previous command form.
let embeddings = 'true';
if (modifier === 'fast' || modifier === 'graph-only' || modifier === 'no-embeddings') {
embeddings = 'false';
}
// Use refs/pull/<N>/head instead of the raw head SHA. GitHub
// mirrors every PR's head into the base repo as this ref, so
// actions/checkout can always resolve it — even for PRs from
// forks whose raw SHAs don't exist in the base repo.
const prNum = context.payload.issue.number;
core.setOutput('pr_number', String(prNum));
core.setOutput('pr_ref', `refs/pull/${prNum}/head`);
core.setOutput('embeddings', embeddings);
core.info(
`Dispatching index for PR #${prNum} at refs/pull/${prNum}/head (embeddings=${embeddings}, modifier=${modifier || '(none)'})`,
);
- name: Dispatch gitnexus-index workflow
uses: actions/github-script@v7
env:
EMBEDDINGS: ${{ steps.parse.outputs.embeddings }}
PR_NUMBER: ${{ steps.parse.outputs.pr_number }}
PR_REF: ${{ steps.parse.outputs.pr_ref }}
with:
script: |
const prNumber = process.env.PR_NUMBER || '';
const prRef = process.env.PR_REF || '';
const embeddings = process.env.EMBEDDINGS || 'false';
if (!/^[0-9]+$/.test(prNumber)) {
core.setFailed(`Invalid PR number: ${prNumber}`);
return;
}
if (prRef !== `refs/pull/${prNumber}/head`) {
core.setFailed(`Invalid PR ref: ${prRef}`);
return;
}
if (!['true', 'false'].includes(embeddings)) {
core.setFailed(`Invalid embeddings value: ${embeddings}`);
return;
}
await github.rest.actions.createWorkflowDispatch({
owner: context.repo.owner,
repo: context.repo.repo,
workflow_id: 'gitnexus-index.yml',
ref: 'main',
inputs: {
pr_number: prNumber,
pr_ref: prRef,
embeddings,
force: 'false',
deploy_after: 'true',
},
});
- name: React to the comment
uses: actions/github-script@v7
with:
script: |
await github.rest.reactions.createForIssueComment({
owner: context.repo.owner,
repo: context.repo.repo,
comment_id: context.payload.comment.id,
content: 'rocket',
});
+105
View File
@@ -0,0 +1,105 @@
name: Build Helm Charts on Tag
# The workflow is triggered when a tag is pushed
on:
push:
tags:
- "chart-*"
workflow_dispatch:
inputs:
chart_tag:
description: "Existing chart tag to release, for example chart-2.0.5"
required: true
type: string
jobs:
release:
permissions:
contents: read
packages: write
runs-on: ubuntu-latest
env:
CHART_REPOSITORY: ${{ github.repository_owner }}/librechat-chart
steps:
- name: Resolve chart tag
id: chart-version
env:
EVENT_NAME: ${{ github.event_name }}
INPUT_CHART_TAG: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.chart_tag || '' }}
REF_NAME: ${{ github.ref_name }}
run: |
set -euo pipefail
CHART_TAG="$REF_NAME"
if [ "$EVENT_NAME" = "workflow_dispatch" ]; then
CHART_TAG="$INPUT_CHART_TAG"
fi
CHART_VERSION="${CHART_TAG#chart-}"
SEMVER_REGEX='^[0-9]+[.][0-9]+[.][0-9]+(-[0-9A-Za-z.-]+)?([+][0-9A-Za-z.-]+)?$'
if [[ "$CHART_TAG" != chart-* || ! "$CHART_VERSION" =~ $SEMVER_REGEX ]]; then
echo "::error::Chart tags must use the form chart-<semver>, for example chart-2.0.3"
exit 1
fi
{
printf 'CHART_REF=refs/tags/%s\n' "$CHART_TAG"
printf 'CHART_TAG=%s\n' "$CHART_TAG"
printf 'CHART_VERSION=%s\n' "$CHART_VERSION"
} >> "$GITHUB_OUTPUT"
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
ref: ${{ steps.chart-version.outputs.CHART_REF }}
- name: Configure Git
run: |
git config user.name "$GITHUB_ACTOR"
git config user.email "$GITHUB_ACTOR@users.noreply.github.com"
- name: Install Helm
uses: azure/setup-helm@v4
env:
GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
- name: Build Subchart Deps
run: |
cd helm/librechat
helm dependency build
cd ../librechat-rag-api
helm dependency build
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Run Helm OCI Charts Releaser
# This is for the librechat chart
- name: Release Helm OCI Charts for librechat
uses: appany/helm-oci-chart-releaser@v0.4.2
with:
name: librechat
repository: ${{ env.CHART_REPOSITORY }}
tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
path: helm/librechat
registry: ghcr.io
registry_username: ${{ github.actor }}
registry_password: ${{ secrets.GITHUB_TOKEN }}
# this is for the librechat-rag-api chart
- name: Release Helm OCI Charts for librechat-rag-api
uses: appany/helm-oci-chart-releaser@v0.4.2
with:
name: librechat-rag-api
repository: ${{ env.CHART_REPOSITORY }}
tag: ${{ steps.chart-version.outputs.CHART_VERSION }}
path: helm/librechat-rag-api
registry: ghcr.io
registry_username: ${{ github.actor }}
registry_password: ${{ secrets.GITHUB_TOKEN }}
+150
View File
@@ -0,0 +1,150 @@
name: Detect Unused i18next Strings
# This workflow checks for unused i18n keys in translation files.
# It has special handling for:
# - com_ui_special_var_* keys that are dynamically constructed
# - com_agents_category_* keys that are stored in the database and used dynamically
on:
pull_request:
paths:
- "client/src/**"
- "api/**"
- "packages/data-provider/src/**"
- "packages/client/**"
- "packages/data-schemas/src/**"
jobs:
detect-unused-i18n-keys:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Find unused i18next keys
id: find-unused
run: |
echo "🔍 Scanning for unused i18next keys..."
# Define paths
I18N_FILE="client/src/locales/en/translation.json"
SOURCE_DIRS=("client/src" "api" "packages/data-provider/src" "packages/client" "packages/data-schemas/src")
# Check if translation file exists
if [[ ! -f "$I18N_FILE" ]]; then
echo "::error title=Missing i18n File::Translation file not found: $I18N_FILE"
exit 1
fi
# Extract all keys from the JSON file
KEYS=$(jq -r 'keys[]' "$I18N_FILE")
# Track unused keys
UNUSED_KEYS=()
# Check if each key is used in the source code
for KEY in $KEYS; do
FOUND=false
# Special case for dynamically constructed special variable keys
if [[ "$KEY" == com_ui_special_var_* ]]; then
# Check if TSpecialVarLabel is used in the codebase
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "TSpecialVarLabel" "$DIR"; then
FOUND=true
break
fi
done
# Also check if the key is directly used somewhere
if [[ "$FOUND" == false ]]; then
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
FOUND=true
break
fi
done
fi
# Special case for agent category keys that are dynamically used from database
elif [[ "$KEY" == com_agents_category_* ]]; then
# Check if agent category localization is being used
for DIR in "${SOURCE_DIRS[@]}"; do
# Check for dynamic category label/description usage
if grep -r --include=\*.{js,jsx,ts,tsx} -E "category\.(label|description).*startsWith.*['\"]com_" "$DIR" > /dev/null 2>&1 || \
# Check for the method that defines these keys
grep -r --include=\*.{js,jsx,ts,tsx} "ensureDefaultCategories" "$DIR" > /dev/null 2>&1 || \
# Check for direct usage in agentCategory.ts
grep -r --include=\*.ts -E "label:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1 || \
grep -r --include=\*.ts -E "description:.*['\"]$KEY['\"]" "$DIR" > /dev/null 2>&1; then
FOUND=true
break
fi
done
# Also check if the key is directly used somewhere
if [[ "$FOUND" == false ]]; then
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
FOUND=true
break
fi
done
fi
else
# Regular check for other keys
for DIR in "${SOURCE_DIRS[@]}"; do
if grep -r --include=\*.{js,jsx,ts,tsx} -q "$KEY" "$DIR"; then
FOUND=true
break
fi
done
fi
if [[ "$FOUND" == false ]]; then
UNUSED_KEYS+=("$KEY")
fi
done
# Output results
if [[ ${#UNUSED_KEYS[@]} -gt 0 ]]; then
echo "🛑 Found ${#UNUSED_KEYS[@]} unused i18n keys:"
echo "unused_keys=$(echo "${UNUSED_KEYS[@]}" | jq -R -s -c 'split(" ")')" >> $GITHUB_ENV
for KEY in "${UNUSED_KEYS[@]}"; do
echo "::warning title=Unused i18n Key::'$KEY' is defined but not used in the codebase."
done
else
echo "✅ No unused i18n keys detected!"
echo "unused_keys=[]" >> $GITHUB_ENV
fi
- name: Post verified comment on PR
if: env.unused_keys != '[]'
run: |
PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
# Format the unused keys list as checkboxes for easy manual checking.
FILTERED_KEYS=$(echo "$unused_keys" | jq -r '.[]' | grep -v '^\s*$' | sed 's/^/- [ ] `/;s/$/`/' )
COMMENT_BODY=$(cat <<EOF
### 🚨 Unused i18next Keys Detected
The following translation keys are defined in \`translation.json\` but are **not used** in the codebase:
$FILTERED_KEYS
⚠️ **Please remove these unused keys to keep the translation files clean.**
EOF
)
gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-f body="$COMMENT_BODY" \
-H "Authorization: token $GITHUB_TOKEN"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Fail workflow if unused keys found
if: env.unused_keys != '[]'
run: exit 1
+43
View File
@@ -0,0 +1,43 @@
name: Langfuse Fanout
on:
workflow_dispatch:
pull_request:
paths:
- '.github/workflows/langfuse-fanout.yml'
- 'otel/langfuse-fanout/**'
permissions:
contents: read
concurrency:
group: langfuse-fanout-${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
go-tests:
name: Go tests
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: actions/checkout@v4
- name: Set up Go
uses: actions/setup-go@v5
with:
go-version-file: otel/langfuse-fanout/go.mod
cache-dependency-path: otel/langfuse-fanout/go.sum
- name: Check Go formatting
working-directory: otel/langfuse-fanout
run: |
unformatted="$(gofmt -l .)"
if [ -n "$unformatted" ]; then
echo "::error::Go files are not gofmt-formatted:"
echo "$unformatted"
exit 1
fi
- name: Run Go tests
working-directory: otel/langfuse-fanout
run: go test ./...
+99
View File
@@ -0,0 +1,99 @@
name: Sync Locize Translations & Create Translation PR
on:
push:
branches: [main]
repository_dispatch:
types: [locize/versionPublished]
permissions:
contents: read
jobs:
sync-translations:
name: Sync Translation Keys with Locize
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Set Up Node.js
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Install locize CLI
run: npm install -g locize-cli@12.2.0 --ignore-scripts --no-audit --no-fund
# Sync translations (Push missing keys & remove deleted ones)
- name: Sync Locize with Repository
if: ${{ github.event_name == 'push' }}
env:
LOCIZE_API_KEY: ${{ secrets.LOCIZE_API_KEY }}
LOCIZE_PROJECT_ID: ${{ secrets.LOCIZE_PROJECT_ID }}
run: |
cd client/src/locales
locize sync --cdn-type pro --api-key "$LOCIZE_API_KEY" --project-id "$LOCIZE_PROJECT_ID" --language en
# When triggered by repository_dispatch, skip sync step.
- name: Skip sync step on non-push events
if: ${{ github.event_name != 'push' }}
run: echo "Skipping sync as the event is not a push."
create-pull-request:
name: Create Translation PR on Version Published
runs-on: ubuntu-latest
needs: sync-translations
permissions:
contents: read
steps:
# 1. Check out the repository.
- name: Checkout Repository
uses: actions/checkout@v4
with:
persist-credentials: false
# 2. Download translation files from locize.
- name: Download Translations from locize
uses: locize/download@v2
with:
project-id: ${{ secrets.LOCIZE_PROJECT_ID }}
path: "client/src/locales"
# 3. Create a Pull Request using a dedicated fine-grained PAT so this
# workflow does not depend on the global GITHUB_TOKEN PR-creation setting.
- name: Create Pull Request
id: create-pull-request
uses: peter-evans/create-pull-request@v7
with:
token: ${{ secrets.LOCIZE_PR_TOKEN }}
add-paths: |
client/src/locales/**
commit-message: "🌍 i18n: Update translation.json with latest translations"
base: main
branch: i18n/locize-translation-update
title: "🌍 i18n: Update translation.json with latest translations"
body: |
**Description**:
- 🎯 **Objective**: Update `translation.json` with the latest translations from locize.
- 🔍 **Details**: This PR is automatically generated upon receiving a versionPublished event with version "latest". It reflects the newest translations provided by locize.
- ✅ **Status**: Ready for review.
labels: "🌍 i18n"
- name: Request Reviewer
if: ${{ steps.create-pull-request.outputs.pull-request-number != '' }}
env:
GH_TOKEN: ${{ secrets.LOCIZE_PR_TOKEN }}
PR_NUMBER: ${{ steps.create-pull-request.outputs.pull-request-number }}
REVIEWER: danny-avila
run: |
author="$(gh pr view "$PR_NUMBER" --repo "$GITHUB_REPOSITORY" --json author --jq '.author.login')"
if [ "$author" = "$REVIEWER" ]; then
echo "Skipping reviewer request because $REVIEWER authored PR #$PR_NUMBER."
exit 0
fi
gh pr edit "$PR_NUMBER" --repo "$GITHUB_REPOSITORY" --add-reviewer "$REVIEWER"
+92
View File
@@ -0,0 +1,92 @@
name: Docker Compose Build Latest Main Image Tag (Manual Dispatch)
on:
workflow_dispatch:
permissions:
contents: read
packages: write
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: librechat-api
- target: node
file: Dockerfile
image_name: librechat
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: main
fetch-depth: 0
- name: Fetch tags and set the latest tag
run: |
set -euo pipefail
git fetch --tags --force
LATEST_TAG=$(git tag --list 'v[0-9]*' --sort=-v:refname | grep -E '^v[0-9]+[.][0-9]+[.][0-9]+$' | head -n 1)
if [ -z "$LATEST_TAG" ]; then
echo "::error::No stable v<semver> tag found"
exit 1
fi
printf 'LATEST_TAG=%s\n' "$LATEST_TAG" >> "$GITHUB_ENV"
- name: Compute build metadata
run: |
printf 'BUILD_COMMIT=%s\n' "$(git rev-parse HEAD)" >> "$GITHUB_ENV"
printf 'BUILD_BRANCH=main\n' >> "$GITHUB_ENV"
printf 'BUILD_DATE=%s\n' "$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> "$GITHUB_ENV"
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: |
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ env.LATEST_TAG }}
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ env.LATEST_TAG }}
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}
build-args: |
BUILD_COMMIT=${{ env.BUILD_COMMIT }}
BUILD_BRANCH=${{ env.BUILD_BRANCH }}
BUILD_DATE=${{ env.BUILD_DATE }}
+137
View File
@@ -0,0 +1,137 @@
name: Playwright E2E Tests
on:
pull_request:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual e2e run'
permissions:
contents: read
concurrency:
group: playwright-mock-${{ github.ref }}
cancel-in-progress: true
env:
NODE_OPTIONS: '--max-old-space-size=${{ secrets.NODE_MAX_OLD_SPACE_SIZE || 6144 }}'
PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: '1'
jobs:
e2e:
runs-on: ubuntu-latest
timeout-minutes: 30
env:
E2E_CHROMIUM_CHANNEL: chrome
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
- name: Restore node_modules cache
id: cache-node-modules
uses: actions/cache@v4
with:
path: |
node_modules
client/node_modules
packages/client/node_modules
packages/data-provider/node_modules
packages/data-schemas/node_modules
packages/api/node_modules
api/node_modules
key: node-modules-e2e-${{ runner.os }}-24.16.0-${{ hashFiles('package-lock.json') }}
- name: Install dependencies
if: steps.cache-node-modules.outputs.cache-hit != 'true'
run: npm ci
- name: Restore data-provider build cache
id: cache-data-provider
uses: actions/cache@v4
with:
path: packages/data-provider/dist
key: build-data-provider-${{ runner.os }}-${{ hashFiles('package-lock.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-provider
if: steps.cache-data-provider.outputs.cache-hit != 'true'
run: npm run build:data-provider
- name: Restore data-schemas build cache
id: cache-data-schemas
uses: actions/cache@v4
with:
path: packages/data-schemas/dist
key: build-data-schemas-${{ runner.os }}-${{ hashFiles('package-lock.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build data-schemas
if: steps.cache-data-schemas.outputs.cache-hit != 'true'
run: npm run build:data-schemas
- name: Restore api build cache
id: cache-api
uses: actions/cache@v4
with:
path: packages/api/dist
key: build-api-${{ runner.os }}-${{ hashFiles('package-lock.json', 'packages/api/src/**', 'packages/api/tsconfig*.json', 'packages/api/tsdown.config.mjs', 'packages/api/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json', 'packages/data-schemas/src/**', 'packages/data-schemas/tsconfig*.json', 'packages/data-schemas/tsdown.config.mjs', 'packages/data-schemas/package.json') }}
- name: Build api
if: steps.cache-api.outputs.cache-hit != 'true'
run: npm run build:api
- name: Restore client-package build cache
id: cache-client-package
uses: actions/cache@v4
with:
path: packages/client/dist
key: build-client-package-${{ runner.os }}-${{ hashFiles('package-lock.json', 'packages/client/src/**', 'packages/client/tsconfig*.json', 'packages/client/tsdown.config.mjs', 'packages/client/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build client-package
if: steps.cache-client-package.outputs.cache-hit != 'true'
run: npm run build:client-package
- name: Restore client app build cache
id: cache-client-app
uses: actions/cache@v4
with:
path: client/dist
key: build-client-app-e2e-${{ runner.os }}-${{ hashFiles('package-lock.json', 'client/src/**', 'client/public/**', 'client/scripts/post-build.cjs', 'client/index.html', 'client/package.json', 'client/vite.config.*', 'client/tsconfig*.json', 'client/tailwind.config.*', 'client/postcss.config.*', 'packages/client/src/**', 'packages/client/tsconfig*.json', 'packages/client/tsdown.config.mjs', 'packages/client/package.json', 'packages/data-provider/src/**', 'packages/data-provider/tsconfig*.json', 'packages/data-provider/tsdown.config.mjs', 'packages/data-provider/package.json') }}
- name: Build client app
if: steps.cache-client-app.outputs.cache-hit != 'true'
run: npm run build:client
- name: Install Playwright runtime dependencies
timeout-minutes: 5
run: |
google-chrome --version
npx playwright install-deps chrome
- name: Run mock-LLM Tier-1 e2e
run: npx playwright test --config=e2e/playwright.config.mock.ts
env:
CI: 'true'
- name: Upload Playwright HTML report
if: ${{ !cancelled() }}
uses: actions/upload-artifact@v4
with:
name: playwright-report
path: e2e/playwright-report/**
retention-days: 7
if-no-files-found: ignore
- name: Upload traces & screenshots
if: failure()
uses: actions/upload-artifact@v4
with:
name: playwright-test-results
path: e2e/specs/.test-results/**
retention-days: 7
if-no-files-found: ignore
+136
View File
@@ -0,0 +1,136 @@
name: Retry Failed Docker Builds
on:
workflow_run:
workflows:
- Docker Build Smoke Tests
- Docker Compose Build Latest Main Image Tag (Manual Dispatch)
- Docker Dev Branch Images Build
- Docker Dev Images Build
- Docker Dev Staging Images Build
- Docker Images Build on Tag
types:
- completed
permissions:
actions: write
contents: read
jobs:
retry-failed-jobs:
name: Re-run failed jobs
if: >
(github.event.workflow_run.conclusion == 'failure' ||
github.event.workflow_run.conclusion == 'timed_out') &&
github.event.workflow_run.run_attempt < 3
runs-on: ubuntu-latest
steps:
- name: Check failed run is still current
id: current-run
env:
GH_TOKEN: ${{ github.token }}
HEAD_BRANCH: ${{ github.event.workflow_run.head_branch }}
HEAD_SHA: ${{ github.event.workflow_run.head_sha }}
RUN_EVENT: ${{ github.event.workflow_run.event }}
RUN_ID: ${{ github.event.workflow_run.id }}
WORKFLOW_ID: ${{ github.event.workflow_run.workflow_id }}
WORKFLOW_NAME: ${{ github.event.workflow_run.name }}
run: |
set -euo pipefail
encode_uri() {
jq -nr --arg value "$1" '$value | @uri'
}
workflow_runs_path="repos/${GITHUB_REPOSITORY}/actions/workflows/${WORKFLOW_ID}/runs"
query="per_page=1&exclude_pull_requests=false"
if [ "$WORKFLOW_NAME" = "Docker Images Build on Tag" ]; then
if [ -z "$HEAD_BRANCH" ]; then
echo "No tag name found for ${WORKFLOW_NAME}; skipping retry."
echo "should_retry=false" >> "$GITHUB_OUTPUT"
exit 0
fi
if ! tag_ref=$(gh api "repos/${GITHUB_REPOSITORY}/git/ref/tags/$(encode_uri "$HEAD_BRANCH")" --jq '.object'); then
echo "Tag ${HEAD_BRANCH} no longer exists; skipping retry."
echo "should_retry=false" >> "$GITHUB_OUTPUT"
exit 0
fi
tag_object_type=$(jq -r '.type' <<< "$tag_ref")
tag_object_sha=$(jq -r '.sha' <<< "$tag_ref")
if [ "$tag_object_type" = "tag" ]; then
tag_head_sha=$(gh api "repos/${GITHUB_REPOSITORY}/git/tags/${tag_object_sha}" --jq '.object.sha')
else
tag_head_sha="$tag_object_sha"
fi
if [ "$tag_head_sha" = "$HEAD_SHA" ]; then
echo "should_retry=true" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "Skipping retry for stale ${WORKFLOW_NAME} run ${RUN_ID}; tag ${HEAD_BRANCH} now points to ${tag_head_sha}."
echo "should_retry=false" >> "$GITHUB_OUTPUT"
exit 0
fi
if [ -n "$RUN_EVENT" ]; then
query="${query}&event=$(encode_uri "$RUN_EVENT")"
fi
if [ -n "$HEAD_BRANCH" ]; then
query_with_ref="${query}&branch=$(encode_uri "$HEAD_BRANCH")"
latest_run=$(gh api "${workflow_runs_path}?${query_with_ref}" --jq '.workflow_runs[0] // empty')
else
latest_run=""
fi
if [ -z "$latest_run" ]; then
latest_run=$(gh api "${workflow_runs_path}?${query}" --jq '.workflow_runs[0] // empty')
fi
if [ -z "$latest_run" ]; then
echo "No matching workflow runs found for ${WORKFLOW_NAME}; skipping retry."
echo "should_retry=false" >> "$GITHUB_OUTPUT"
exit 0
fi
latest_run_id=$(jq -r '.id' <<< "$latest_run")
latest_head_sha=$(jq -r '.head_sha' <<< "$latest_run")
if [ "$latest_run_id" = "$RUN_ID" ] || [ "$latest_head_sha" = "$HEAD_SHA" ]; then
echo "should_retry=true" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "Skipping retry for stale ${WORKFLOW_NAME} run ${RUN_ID}; newer run ${latest_run_id} is at ${latest_head_sha}."
echo "should_retry=false" >> "$GITHUB_OUTPUT"
- name: Re-run failed Docker jobs
if: steps.current-run.outputs.should_retry == 'true'
env:
GH_TOKEN: ${{ github.token }}
RUN_ATTEMPT: ${{ github.event.workflow_run.run_attempt }}
RUN_ID: ${{ github.event.workflow_run.id }}
WORKFLOW_NAME: ${{ github.event.workflow_run.name }}
run: |
set -euo pipefail
cancelled_jobs=$(gh api --paginate "repos/${GITHUB_REPOSITORY}/actions/runs/${RUN_ID}/jobs?per_page=100" \
| jq -s '[.[].jobs[]? | select(.conclusion == "cancelled")] | length')
if [ "$cancelled_jobs" -gt 0 ]; then
endpoint="rerun"
echo "Found ${cancelled_jobs} cancelled job(s); re-running the full workflow run."
else
endpoint="rerun-failed-jobs"
echo "Re-running failed jobs only."
fi
echo "Retrying ${WORKFLOW_NAME} (run ${RUN_ID}, attempt ${RUN_ATTEMPT})."
gh api \
--method POST \
"repos/${GITHUB_REPOSITORY}/actions/runs/${RUN_ID}/${endpoint}"
@@ -0,0 +1,85 @@
name: Sync Helm Chart Tags
on:
push:
branches:
- main
workflow_dispatch:
inputs:
release_existing_tag:
description: "Existing chart-* tag to dispatch if tag creation succeeded but release dispatch failed"
required: false
type: string
permissions:
contents: read
concurrency:
group: sync-helm-chart-tags
cancel-in-progress: false
jobs:
noop:
name: Ignore non-main push
if: github.event_name == 'push' && github.ref != 'refs/heads/main'
runs-on: ubuntu-latest
timeout-minutes: 1
steps:
- name: Skip tag sync
run: echo "Helm chart tag sync only runs on main pushes or manual dispatch."
sync:
name: Sync chart tags
if: github.event_name == 'workflow_dispatch' || github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
timeout-minutes: 10
permissions:
actions: write
contents: write
env:
BASE_REF: refs/remotes/origin/main
BACKFILL_FROM_VERSION: 1.9.0
CHART_PATH: helm/librechat/Chart.yaml
DEFAULT_BRANCH: main
DISPATCH_WORKFLOW: helmcharts.yml
GITHUB_SERVER_URL: ${{ github.server_url }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GITHUB_REPOSITORY: ${{ github.repository }}
RELEASE_EXISTING_TAG: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.release_existing_tag || '' }}
REPO_DIR: /tmp/librechat-sync
TAG_PREFIX: chart-
steps:
- name: Fetch main and tags
shell: bash
run: |
set -euo pipefail
if [[ ! "$GITHUB_REPOSITORY" =~ ^[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+$ ]]; then
echo "::error::Unexpected repository name: $GITHUB_REPOSITORY"
exit 1
fi
if [[ "$GITHUB_SERVER_URL" != "https://github.com" ]]; then
echo "::error::Unexpected GitHub server URL: $GITHUB_SERVER_URL"
exit 1
fi
rm -rf "$REPO_DIR"
git init "$REPO_DIR"
cd "$REPO_DIR"
git remote add origin "${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}.git"
AUTH_HEADER="$(printf 'x-access-token:%s' "$GITHUB_TOKEN" | base64 | tr -d '\n')"
git -c "http.extraheader=AUTHORIZATION: basic ${AUTH_HEADER}" \
fetch --prune --force --tags origin \
"+refs/heads/${DEFAULT_BRANCH}:refs/remotes/origin/${DEFAULT_BRANCH}"
git checkout --detach "$BASE_REF"
- name: Create missing chart tags
shell: bash
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PUSH_TAGS: "true"
run: |
set -euo pipefail
cd "$REPO_DIR"
.github/scripts/sync-helm-chart-tags.sh
+118
View File
@@ -0,0 +1,118 @@
name: Docker Images Build on Tag
on:
push:
tags:
- 'v*'
permissions:
contents: read
packages: write
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: librechat-api
- target: node
file: Dockerfile
image_name: librechat
steps:
# Check out the repository
- name: Checkout
uses: actions/checkout@v4
- name: Validate release tag
id: release-tag
env:
REF_NAME: ${{ github.ref_name }}
run: |
set -euo pipefail
TAG_REGEX='^v[0-9]+[.][0-9]+[.][0-9]+(-rc[0-9]+)?$'
STABLE_TAG_REGEX='^v[0-9]+[.][0-9]+[.][0-9]+$'
if [[ ! "$REF_NAME" =~ $TAG_REGEX ]]; then
echo "::error::Docker release tags must use v<semver> or v<semver>-rcN, for example v0.8.5 or v0.8.5-rc1"
exit 1
fi
printf 'image_tag=%s\n' "$REF_NAME" >> "$GITHUB_OUTPUT"
if [[ "$REF_NAME" =~ $STABLE_TAG_REGEX ]]; then
echo "is_stable=true" >> "$GITHUB_OUTPUT"
else
echo "is_stable=false" >> "$GITHUB_OUTPUT"
fi
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
- name: Compute build metadata
run: |
echo "BUILD_COMMIT=${{ github.sha }}" >> $GITHUB_ENV
echo "BUILD_BRANCH=${{ github.ref_name }}" >> $GITHUB_ENV
echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
- name: Resolve image tags
id: image-tags
env:
DOCKERHUB_USERNAME: ${{ secrets.DOCKERHUB_USERNAME }}
IMAGE_NAME: ${{ matrix.image_name }}
IMAGE_TAG: ${{ steps.release-tag.outputs.image_tag }}
IS_STABLE: ${{ steps.release-tag.outputs.is_stable }}
run: |
set -euo pipefail
git fetch --tags --force
LATEST_STABLE_TAG=$(git tag --list 'v[0-9]*' --sort=-v:refname | grep -E '^v[0-9]+[.][0-9]+[.][0-9]+$' | head -n 1 || true)
{
echo 'tags<<EOF'
printf 'ghcr.io/%s/%s:%s\n' "$GITHUB_REPOSITORY_OWNER" "$IMAGE_NAME" "$IMAGE_TAG"
printf '%s/%s:%s\n' "$DOCKERHUB_USERNAME" "$IMAGE_NAME" "$IMAGE_TAG"
if [ "$IS_STABLE" = "true" ] && [ "$IMAGE_TAG" = "$LATEST_STABLE_TAG" ]; then
printf 'ghcr.io/%s/%s:latest\n' "$GITHUB_REPOSITORY_OWNER" "$IMAGE_NAME"
printf '%s/%s:latest\n' "$DOCKERHUB_USERNAME" "$IMAGE_NAME"
fi
echo 'EOF'
} >> "$GITHUB_OUTPUT"
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: ${{ steps.image-tags.outputs.tags }}
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}
build-args: |
BUILD_COMMIT=${{ env.BUILD_COMMIT }}
BUILD_BRANCH=${{ env.BUILD_BRANCH }}
BUILD_DATE=${{ env.BUILD_DATE }}
+282
View File
@@ -0,0 +1,282 @@
name: Detect Unused NPM Packages
on:
pull_request:
paths:
- 'package.json'
- 'package-lock.json'
- 'client/**'
- 'api/**'
- 'packages/client/**'
- 'packages/api/**'
jobs:
detect-unused-packages:
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
steps:
- uses: actions/checkout@v4
- name: Use Node.js 24.16.0
uses: actions/setup-node@v4
with:
node-version: '24.16.0'
cache: 'npm'
- name: Install depcheck
run: npm install -g depcheck
- name: Validate JSON files
run: |
for FILE in package.json client/package.json api/package.json packages/client/package.json; do
if [[ -f "$FILE" ]]; then
jq empty "$FILE" || (echo "::error title=Invalid JSON::$FILE is invalid" && exit 1)
fi
done
- name: Extract Dependencies Used in Scripts
id: extract-used-scripts
run: |
extract_deps_from_scripts() {
local package_file=$1
if [[ -f "$package_file" ]]; then
jq -r '.scripts | to_entries[].value' "$package_file" | \
grep -oE '([a-zA-Z0-9_-]+)' | sort -u > used_scripts.txt
else
touch used_scripts.txt
fi
}
extract_deps_from_scripts "package.json"
mv used_scripts.txt root_used_deps.txt
extract_deps_from_scripts "client/package.json"
mv used_scripts.txt client_used_deps.txt
extract_deps_from_scripts "api/package.json"
mv used_scripts.txt api_used_deps.txt
- name: Extract Dependencies Used in Source Code
id: extract-used-code
run: |
extract_deps_from_code() {
local folder=$1
local output_file=$2
# Initialize empty output file
> "$output_file"
if [[ -d "$folder" ]]; then
# Extract require() statements (use explicit includes for portability)
grep -rEho "require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)" "$folder" \
--include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
sed -E "s/require\\(['\"]([a-zA-Z0-9@/._-]+)['\"]\\)/\1/" >> "$output_file" || true
# Extract ES6 imports - import x from 'module'
grep -rEho "import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
--include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
sed -E "s/import .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
# import 'module' (side-effect imports)
grep -rEho "import ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
--include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
sed -E "s/import ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
# export { x } from 'module' or export * from 'module'
grep -rEho "export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
--include='*.js' --include='*.ts' --include='*.tsx' --include='*.jsx' --include='*.mjs' --include='*.cjs' 2>/dev/null | \
sed -E "s/export .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
# import type { x } from 'module' (TypeScript)
grep -rEho "import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]" "$folder" \
--include='*.ts' --include='*.tsx' 2>/dev/null | \
sed -E "s/import type .* from ['\"]([a-zA-Z0-9@/._-]+)['\"]/\1/" >> "$output_file" || true
# Remove subpath imports but keep the base package
# For scoped packages: '@scope/pkg/subpath' -> '@scope/pkg'
# For regular packages: 'pkg/subpath' -> 'pkg'
# Scoped packages (must keep @scope/package, strip anything after)
sed -i -E 's|^(@[a-zA-Z0-9_-]+/[a-zA-Z0-9_-]+)/.*|\1|' "$output_file" 2>/dev/null || true
# Non-scoped packages (keep package name, strip subpath)
sed -i -E 's|^([a-zA-Z0-9_-]+)/.*|\1|' "$output_file" 2>/dev/null || true
sort -u "$output_file" -o "$output_file"
fi
}
extract_deps_from_code "." root_used_code.txt
extract_deps_from_code "client" client_used_code.txt
extract_deps_from_code "api" api_used_code.txt
# Extract dependencies used by workspace packages
# These packages are used in the workspace but dependencies are provided by parent package.json
extract_deps_from_code "packages/client" packages_client_used_code.txt
extract_deps_from_code "packages/api" packages_api_used_code.txt
- name: Get @librechat/client dependencies
id: get-librechat-client-deps
run: |
if [[ -f "packages/client/package.json" ]]; then
# Get all dependencies from @librechat/client (dependencies, devDependencies, and peerDependencies)
DEPS=$(jq -r '.dependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
DEV_DEPS=$(jq -r '.devDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
PEER_DEPS=$(jq -r '.peerDependencies // {} | keys[]' packages/client/package.json 2>/dev/null || echo "")
# Combine all dependencies
echo "$DEPS" > librechat_client_deps.txt
echo "$DEV_DEPS" >> librechat_client_deps.txt
echo "$PEER_DEPS" >> librechat_client_deps.txt
# Also include dependencies that are imported in packages/client
cat packages_client_used_code.txt >> librechat_client_deps.txt
# Remove empty lines and sort
grep -v '^$' librechat_client_deps.txt | sort -u > temp_deps.txt
mv temp_deps.txt librechat_client_deps.txt
else
touch librechat_client_deps.txt
fi
- name: Get @librechat/api dependencies
id: get-librechat-api-deps
run: |
if [[ -f "packages/api/package.json" ]]; then
# Get all dependencies from @librechat/api (dependencies, devDependencies, and peerDependencies)
DEPS=$(jq -r '.dependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
DEV_DEPS=$(jq -r '.devDependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
PEER_DEPS=$(jq -r '.peerDependencies // {} | keys[]' packages/api/package.json 2>/dev/null || echo "")
# Combine all dependencies
echo "$DEPS" > librechat_api_deps.txt
echo "$DEV_DEPS" >> librechat_api_deps.txt
echo "$PEER_DEPS" >> librechat_api_deps.txt
# Also include dependencies that are imported in packages/api
cat packages_api_used_code.txt >> librechat_api_deps.txt
# Remove empty lines and sort
grep -v '^$' librechat_api_deps.txt | sort -u > temp_deps.txt
mv temp_deps.txt librechat_api_deps.txt
else
touch librechat_api_deps.txt
fi
- name: Extract Workspace Dependencies
id: extract-workspace-deps
run: |
# Function to get dependencies from a workspace package that are used by another package
get_workspace_package_deps() {
local package_json=$1
local output_file=$2
# Get all workspace dependencies (starting with @librechat/)
if [[ -f "$package_json" ]]; then
local workspace_deps=$(jq -r '.dependencies // {} | to_entries[] | select(.key | startswith("@librechat/")) | .key' "$package_json" 2>/dev/null || echo "")
# For each workspace dependency, get its dependencies
for dep in $workspace_deps; do
# Convert @librechat/api to packages/api
local workspace_path=$(echo "$dep" | sed 's/@librechat\//packages\//')
local workspace_package_json="${workspace_path}/package.json"
if [[ -f "$workspace_package_json" ]]; then
# Extract all dependencies from the workspace package
jq -r '.dependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
# Also extract peerDependencies
jq -r '.peerDependencies // {} | keys[]' "$workspace_package_json" 2>/dev/null >> "$output_file"
fi
done
fi
if [[ -f "$output_file" ]]; then
sort -u "$output_file" -o "$output_file"
else
touch "$output_file"
fi
}
# Get workspace dependencies for each package
get_workspace_package_deps "package.json" root_workspace_deps.txt
get_workspace_package_deps "client/package.json" client_workspace_deps.txt
get_workspace_package_deps "api/package.json" api_workspace_deps.txt
- name: Run depcheck for root package.json
id: check-root
run: |
if [[ -f "package.json" ]]; then
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
# Exclude dependencies used in scripts, code, and workspace packages
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat root_used_deps.txt root_used_code.txt root_workspace_deps.txt | sort) || echo "")
echo "ROOT_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
fi
- name: Run depcheck for client/package.json
id: check-client
run: |
if [[ -f "client/package.json" ]]; then
chmod -R 755 client
cd client
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
# Exclude dependencies used in scripts, code, workspace packages, and @librechat/client imports
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt ../client_workspace_deps.txt ../packages_client_used_code.txt ../librechat_client_deps.txt 2>/dev/null | sort -u) || echo "")
# Filter out false positives
UNUSED=$(echo "$UNUSED" | grep -v "^micromark-extension-llm-math$" || echo "")
echo "CLIENT_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
cd ..
fi
- name: Run depcheck for api/package.json
id: check-api
run: |
if [[ -f "api/package.json" ]]; then
chmod -R 755 api
cd api
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
# Exclude dependencies used in scripts, code, workspace packages, and @librechat/api imports
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../api_used_deps.txt ../api_used_code.txt ../api_workspace_deps.txt ../packages_api_used_code.txt ../librechat_api_deps.txt 2>/dev/null | sort -u) || echo "")
echo "API_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
cd ..
fi
- name: Post comment on PR if unused dependencies are found
if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
run: |
PR_NUMBER=$(jq --raw-output .pull_request.number "$GITHUB_EVENT_PATH")
ROOT_LIST=$(echo "$ROOT_UNUSED" | awk '{print "- `" $0 "`"}')
CLIENT_LIST=$(echo "$CLIENT_UNUSED" | awk '{print "- `" $0 "`"}')
API_LIST=$(echo "$API_UNUSED" | awk '{print "- `" $0 "`"}')
COMMENT_BODY=$(cat <<EOF
### 🚨 Unused NPM Packages Detected
The following **unused dependencies** were found:
$(if [[ ! -z "$ROOT_UNUSED" ]]; then echo "#### 📂 Root \`package.json\`"; echo ""; echo "$ROOT_LIST"; echo ""; fi)
$(if [[ ! -z "$CLIENT_UNUSED" ]]; then echo "#### 📂 Client \`client/package.json\`"; echo ""; echo "$CLIENT_LIST"; echo ""; fi)
$(if [[ ! -z "$API_UNUSED" ]]; then echo "#### 📂 API \`api/package.json\`"; echo ""; echo "$API_LIST"; echo ""; fi)
⚠️ **Please remove these unused dependencies to keep your project clean.**
EOF
)
gh api "repos/${{ github.repository }}/issues/${PR_NUMBER}/comments" \
-f body="$COMMENT_BODY" \
-H "Authorization: token $GITHUB_TOKEN"
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Fail workflow if unused dependencies found
if: env.ROOT_UNUSED != '' || env.CLIENT_UNUSED != '' || env.API_UNUSED != ''
run: exit 1
+183
View File
@@ -0,0 +1,183 @@
### node etc ###
# Logs
data-node
meili_data*
data/
logs
*.log
# Runtime data
pids
*.pid
*.seed
.git
# CI/CD data
test-image*
dump.rdb
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# translation services
config/translations/stores/*
client/src/localization/languages/*_missing_keys.json
# Turborepo
.turbo
# Compiled Dirs (http://nodejs.org/api/addons.html)
build/
dist/
public/main.js
public/main.js.map
public/main.js.LICENSE.txt
client/public/images/
client/public/main.js
client/public/main.js.map
client/public/main.js.LICENSE.txt
# Azure Blob Storage Emulator (Azurite)
__azurite**
__blobstorage__/**/*
# Dependency directorys
# Deployed apps should consider commenting these lines out:
# see https://npmjs.org/doc/faq.html#Should-I-check-my-node_modules-folder-into-git
node_modules/
meili_data/
api/node_modules/
client/node_modules/
bower_components/
*.d.ts
!vite-env.d.ts
# AI
.clineignore
.cursor
.aider*
.bg-shell/
# Floobits
.floo
.floobit
.floo
.flooignore
#config file
librechat.yaml
librechat.yml
# Environment
.npmrc
.env*
my.secrets
!**/.env.example
!**/.env.test.example
cache.json
api/data/
owner.yml
archive
.vscode/settings.json
src/style - official.css
/e2e/specs/.test-results/
/e2e/.generated/
/e2e/playwright-report/
/playwright/.cache/
.DS_Store
*.code-workspace
.idx
monospace.json
.idea
*.iml
*.pem
config.local.ts
**/storageState.json
junit.xml
**/.venv/
**/venv/
# docker override file
docker-compose.override.yaml
docker-compose.override.yml
# meilisearch
meilisearch
meilisearch.exe
data.ms/*
auth.json
/packages/ux-shared/
/images
!client/src/components/Nav/SettingsTabs/Data/
# User uploads
uploads/
# owner
release/
# Helm
helm/librechat/Chart.lock
helm/**/charts/
helm/**/.values.yaml
!/client/src/@types/i18next.d.ts
!/client/src/@types/react.d.ts
# SAML Idp cert
*.cert
# AI Assistants
/.claude/
/.codex/
/.cursor/
/.copilot/
/.aider/
/.openai/
/.tabnine/
/.codeium
/.pi/
*.local.md
# Removed Windows wrapper files per user request
hive-mind-prompt-*.txt
# Claude Flow generated files
.claude/settings.local.json
.mcp.json
claude-flow.config.json
.swarm/
.hive-mind/
.claude-flow/
/memory/
/coordination/
/memory/claude-flow-data.json
/memory/sessions/*
!/memory/sessions/README.md
/memory/agents/*
!/memory/agents/README.md
/coordination/memory_bank/*
/coordination/subtasks/*
/coordination/orchestration/*
*.db
*.db-journal
*.db-wal
*.sqlite
*.sqlite-journal
*.sqlite-wal
claude-flow
.playwright-mcp/*
# Removed Windows wrapper files per user request
hive-mind-prompt-*.txt
CLAUDE.md
.gsd
codedb.snapshot
+9
View File
@@ -0,0 +1,9 @@
module.exports = {
'*.{js,jsx,ts,tsx}': [
'node scripts/sort-imports.mts',
'prettier --write',
'eslint --fix',
'eslint',
],
'*.json': ['prettier --write'],
};
+3
View File
@@ -0,0 +1,3 @@
#!/bin/sh
[ -n "$CI" ] && exit 0
npx lint-staged --config ./.husky/lint-staged.config.js
+1
View File
@@ -0,0 +1 @@
24.16.0
+19
View File
@@ -0,0 +1,19 @@
{
"tailwindConfig": "./client/tailwind.config.cjs",
"printWidth": 100,
"tabWidth": 2,
"useTabs": false,
"semi": true,
"singleQuote": true,
"trailingComma": "all",
"arrowParens": "always",
"embeddedLanguageFormatting": "auto",
"insertPragma": false,
"proseWrap": "preserve",
"quoteProps": "as-needed",
"requirePragma": false,
"rangeStart": 0,
"endOfLine": "auto",
"jsxSingleQuote": false,
"plugins": ["prettier-plugin-tailwindcss"]
}
+18
View File
@@ -0,0 +1,18 @@
{
"version": "0.2.0",
"configurations": [
{
"type": "node",
"request": "launch",
"name": "Launch LibreChat (debug)",
"skipFiles": ["<node_internals>/**"],
"program": "${workspaceFolder}/api/server/index.js",
"env": {
"NODE_ENV": "production",
"NODE_TLS_REJECT_UNAUTHORIZED": "0"
},
"console": "integratedTerminal",
"envFile": "${workspaceFolder}/.env"
}
]
}
+1
View File
@@ -0,0 +1 @@
See CLAUDE.md.
+84
View File
@@ -0,0 +1,84 @@
# v0.8.7
# Base node image
FROM node:24.16.0-alpine AS node
RUN apk upgrade --no-cache
RUN apk add --no-cache jemalloc
RUN apk add --no-cache python3 py3-pip uv
# Set environment variable to use jemalloc
ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
# Add `uv` for extended MCP support
COPY --from=ghcr.io/astral-sh/uv:0.9.5-python3.12-alpine /usr/local/bin/uv /usr/local/bin/uvx /bin/
RUN uv --version
# Set configurable max-old-space-size with default
ARG NODE_MAX_OLD_SPACE_SIZE=6144
ARG NPM_CI_TIMEOUT_SECONDS=1500
ARG NPM_CI_ATTEMPTS=2
RUN mkdir -p /app && chown node:node /app
WORKDIR /app
USER node
COPY --chown=node:node package.json package-lock.json ./
COPY --chown=node:node api/package.json ./api/package.json
COPY --chown=node:node client/package.json ./client/package.json
COPY --chown=node:node packages/data-provider/package.json ./packages/data-provider/package.json
COPY --chown=node:node packages/data-schemas/package.json ./packages/data-schemas/package.json
COPY --chown=node:node packages/api/package.json ./packages/api/package.json
RUN \
# Allow mounting of these files, which have no default
touch .env ; \
# Create directories for the volumes to inherit the correct permissions
mkdir -p /app/client/public/images /app/logs /app/uploads /app/skill ; \
npm config set fetch-retry-maxtimeout 600000 ; \
npm config set fetch-retries 5 ; \
npm config set fetch-retry-mintimeout 15000 ; \
attempt=1 ; \
until timeout "$NPM_CI_TIMEOUT_SECONDS" npm ci --no-audit ; do \
status=$? ; \
if [ "$attempt" -ge "$NPM_CI_ATTEMPTS" ]; then \
exit "$status" ; \
fi ; \
echo "npm ci --no-audit failed with exit code $status; retrying attempt $((attempt + 1))/$NPM_CI_ATTEMPTS" ; \
attempt=$((attempt + 1)) ; \
npm cache clean --force || true ; \
sleep 10 ; \
done
COPY --chown=node:node . .
RUN \
# React client build with configurable memory
NODE_OPTIONS="--max-old-space-size=${NODE_MAX_OLD_SPACE_SIZE}" npm run frontend; \
npm prune --production; \
npm cache clean --force
# Optional build metadata surfaced in Settings -> About for support triage.
# Declared here (after the heavy install/build steps) so that commit/date
# changing on every CI run does not bust the cache for dependency install
# and frontend build layers. When unset, the backend falls back to local
# git resolution (if .git is present), and finally to empty values.
ARG BUILD_COMMIT=
ARG BUILD_BRANCH=
ARG BUILD_DATE=
ENV BUILD_COMMIT=${BUILD_COMMIT}
ENV BUILD_BRANCH=${BUILD_BRANCH}
ENV BUILD_DATE=${BUILD_DATE}
# Node API setup
EXPOSE 3080
ENV HOST=0.0.0.0
CMD ["npm", "run", "backend"]
# Optional: for client with nginx routing
# FROM nginx:stable-alpine AS nginx-client
# WORKDIR /usr/share/nginx/html
# COPY --from=node /app/client/dist /usr/share/nginx/html
# COPY client/nginx.conf /etc/nginx/conf.d/default.conf
# ENTRYPOINT ["nginx", "-g", "daemon off;"]
+129
View File
@@ -0,0 +1,129 @@
# Dockerfile.multi
# v0.8.7
# Set configurable max-old-space-size with default
ARG NODE_MAX_OLD_SPACE_SIZE=6144
# Optional build metadata surfaced in Settings -> About for support triage.
ARG BUILD_COMMIT=
ARG BUILD_BRANCH=
ARG BUILD_DATE=
# Base for all builds
FROM node:24.16.0-alpine AS base-min
ARG NPM_CI_TIMEOUT_SECONDS=1500
ARG NPM_CI_ATTEMPTS=2
RUN apk upgrade --no-cache
RUN apk add --no-cache jemalloc
# Set environment variable to use jemalloc
ENV LD_PRELOAD=/usr/lib/libjemalloc.so.2
WORKDIR /app
RUN apk --no-cache add curl
RUN npm config set fetch-retry-maxtimeout 600000 && \
npm config set fetch-retries 5 && \
npm config set fetch-retry-mintimeout 15000
COPY package*.json ./
COPY packages/data-provider/package*.json ./packages/data-provider/
COPY packages/api/package*.json ./packages/api/
COPY packages/data-schemas/package*.json ./packages/data-schemas/
COPY packages/client/package*.json ./packages/client/
COPY client/package*.json ./client/
COPY api/package*.json ./api/
# Install all dependencies for every build
FROM base-min AS base
ARG NPM_CI_TIMEOUT_SECONDS=1500
ARG NPM_CI_ATTEMPTS=2
WORKDIR /app
RUN attempt=1; \
until timeout "$NPM_CI_TIMEOUT_SECONDS" npm ci; do \
status=$?; \
if [ "$attempt" -ge "$NPM_CI_ATTEMPTS" ]; then \
exit "$status"; \
fi; \
echo "npm ci failed with exit code $status; retrying attempt $((attempt + 1))/$NPM_CI_ATTEMPTS"; \
attempt=$((attempt + 1)); \
npm cache clean --force || true; \
sleep 10; \
done
# Build `data-provider` package
FROM base AS data-provider-build
WORKDIR /app/packages/data-provider
COPY packages/data-provider ./
RUN npm run build
# Build `data-schemas` package
FROM base AS data-schemas-build
WORKDIR /app/packages/data-schemas
COPY packages/data-schemas ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Build `api` package
FROM base AS api-package-build
WORKDIR /app/packages/api
COPY packages/api ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
COPY --from=data-schemas-build /app/packages/data-schemas/dist /app/packages/data-schemas/dist
RUN npm run build
# Build `client` package
FROM base AS client-package-build
WORKDIR /app/packages/client
COPY packages/client ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Client build
FROM base AS client-build
WORKDIR /app/client
COPY client ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
COPY --from=client-package-build /app/packages/client/dist /app/packages/client/dist
COPY --from=client-package-build /app/packages/client/src /app/packages/client/src
ARG NODE_MAX_OLD_SPACE_SIZE
ENV NODE_OPTIONS="--max-old-space-size=${NODE_MAX_OLD_SPACE_SIZE}"
RUN npm run build
# API setup (including client dist)
FROM base-min AS api-build
ARG NPM_CI_TIMEOUT_SECONDS=1500
ARG NPM_CI_ATTEMPTS=2
# Add `uv` for extended MCP support
COPY --from=ghcr.io/astral-sh/uv:0.6.13 /uv /uvx /bin/
RUN uv --version
WORKDIR /app
# Install only production deps
RUN attempt=1; \
until timeout "$NPM_CI_TIMEOUT_SECONDS" npm ci --omit=dev; do \
status=$?; \
if [ "$attempt" -ge "$NPM_CI_ATTEMPTS" ]; then \
exit "$status"; \
fi; \
echo "npm ci --omit=dev failed with exit code $status; retrying attempt $((attempt + 1))/$NPM_CI_ATTEMPTS"; \
attempt=$((attempt + 1)); \
npm cache clean --force || true; \
sleep 10; \
done
COPY api ./api
COPY config ./config
COPY skill ./skill
COPY --from=data-provider-build /app/packages/data-provider/dist ./packages/data-provider/dist
COPY --from=data-schemas-build /app/packages/data-schemas/dist ./packages/data-schemas/dist
COPY --from=api-package-build /app/packages/api/dist ./packages/api/dist
COPY --from=client-build /app/client/dist ./client/dist
# Propagate build metadata into runtime env so /api/config can expose it.
# Declared here (after the heavy install/copy steps) so that commit/date
# changing on every CI run does not bust the cache for those layers.
ARG BUILD_COMMIT
ARG BUILD_BRANCH
ARG BUILD_DATE
ENV BUILD_COMMIT=${BUILD_COMMIT}
ENV BUILD_BRANCH=${BUILD_BRANCH}
ENV BUILD_DATE=${BUILD_DATE}
WORKDIR /app/api
EXPOSE 3080
ENV HOST=0.0.0.0
CMD ["node", "server/index.js"]
+21
View File
@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 LibreChat
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+234
View File
@@ -0,0 +1,234 @@
<p align="center">
<a href="https://librechat.ai">
<img src="client/public/assets/logo.svg" height="256">
</a>
<h1 align="center">
<a href="https://librechat.ai">LibreChat</a>
</h1>
</p>
<p align="center">
<strong>English</strong> ·
<a href="README.zh.md">中文</a>
</p>
<p align="center">
<a href="https://discord.librechat.ai">
<img
src="https://img.shields.io/discord/1086345563026489514?label=&logo=discord&style=for-the-badge&logoWidth=20&logoColor=white&labelColor=000000&color=blueviolet">
</a>
<a href="https://www.youtube.com/@LibreChat">
<img
src="https://img.shields.io/badge/YOUTUBE-red.svg?style=for-the-badge&logo=youtube&logoColor=white&labelColor=000000&logoWidth=20">
</a>
<a href="https://docs.librechat.ai">
<img
src="https://img.shields.io/badge/DOCS-blue.svg?style=for-the-badge&logo=read-the-docs&logoColor=white&labelColor=000000&logoWidth=20">
</a>
<a aria-label="Sponsors" href="https://github.com/sponsors/danny-avila">
<img
src="https://img.shields.io/badge/SPONSORS-brightgreen.svg?style=for-the-badge&logo=github-sponsors&logoColor=white&labelColor=000000&logoWidth=20">
</a>
</p>
<p align="center">
<a href="https://railway.com/deploy/librechat-official?referralCode=HI9hWz&utm_medium=integration&utm_source=readme&utm_campaign=librechat">
<img src="https://railway.com/button.svg" alt="Deploy on Railway" height="30">
</a>
<a href="https://zeabur.com/templates/0X2ZY8">
<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30"/>
</a>
<a href="https://template.cloud.sealos.io/deploy?templateName=librechat">
<img src="https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg" alt="Deploy on Sealos" height="30">
</a>
</p>
<p align="center">
<a href="https://www.librechat.ai/docs/translation">
<img
src="https://img.shields.io/badge/dynamic/json.svg?style=for-the-badge&color=2096F3&label=locize&query=%24.translatedPercentage&url=https://api.locize.app/badgedata/4cb2598b-ed4d-469c-9b04-2ed531a8cb45&suffix=%+translated"
alt="Translation Progress">
</a>
</p>
# ✨ Features
- 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
- 🤖 **AI Model Selection**:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- [Custom Endpoints](https://www.librechat.ai/docs/quick_start/custom_endpoints): Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with [Local & Remote AI Providers](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
- 🔧 **[Code Interpreter API](https://www.librechat.ai/docs/features/code_interpreter)**:
- Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
- Seamless File Handling: Upload, process, and download files directly
- No Privacy Concerns: Fully isolated and secure execution
- Open-Source & Self-Hostable: powered by [ClickHouse/code-interpreter](https://github.com/ClickHouse/code-interpreter)
- 🔦 **Agents & Tools Integration**:
- **[LibreChat Agents](https://www.librechat.ai/docs/features/agents)**:
- No-Code Custom Assistants: Build specialized, AI-driven helpers
- Agent Marketplace: Discover and deploy community-built agents
- Collaborative Sharing: Share agents with specific users and groups
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- [Skills](https://www.librechat.ai/docs/features/skills): Create reusable `SKILL.md` instruction bundles for manual, automatic, or always-on agent workflows
- [Subagents](https://www.librechat.ai/docs/features/subagents): Delegate focused work to isolated child agent runs with their own context windows
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- [Model Context Protocol (MCP) Support](https://modelcontextprotocol.io/clients#librechat) for Tools
- 🔍 **Web Search**:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- **Customizable Jina Reranking**: Configure custom Jina API URLs for reranking services
- **[Learn More →](https://www.librechat.ai/docs/features/web_search)**
- 🪄 **Generative UI with Code Artifacts**:
- [Code Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) allow creation of React, HTML, and Mermaid diagrams directly in chat
- 🎨 **Image Generation & Editing**
- Text-to-image and image-to-image with [GPT-Image-1](https://www.librechat.ai/docs/features/image_gen#1--openai-image-tools-recommended)
- Text-to-image with [DALL-E (3/2)](https://www.librechat.ai/docs/features/image_gen#2--dalle-legacy), [Stable Diffusion](https://www.librechat.ai/docs/features/image_gen#3--stable-diffusion-local), [Flux](https://www.librechat.ai/docs/features/image_gen#4--flux), or any [MCP server](https://www.librechat.ai/docs/features/image_gen#5--model-context-protocol-mcp)
- Produce stunning visuals from prompts or refine existing images with a single instruction
- 💾 **Presets & Context Management**:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
- Edit, Resubmit, and Continue Messages with Conversation branching
- Create and share prompts with specific users and groups
- [Fork Messages & Conversations](https://www.librechat.ai/docs/features/fork) for Advanced Context control
- 💬 **Multimodal & File Interactions**:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
- 🌎 **Multilingual UI**:
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
- 🧠 **Reasoning UI**:
- Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
- 🎨 **Customizable Interface**:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
- 🌊 **[Resumable Streams](https://www.librechat.ai/docs/features/resumable_streams)**:
- Never lose a response: AI responses automatically reconnect and resume if your connection drops
- Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
- Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
- 🗣️ **Speech & Audio**:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
- 📥 **Import & Export Conversations**:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
- 🔍 **Search & Discovery**:
- Search all messages/conversations
- 👥 **Multi-User & Secure Access**:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
- 🎛️ **[Admin Panel](https://www.librechat.ai/docs/features/admin_panel)**:
- Browser-based UI to manage users, groups, roles, and configuration overrides
- Edit settings and per-role/group permissions live, without redeploying
- Bundled with the Docker Compose stacks for one-command setup
- ⚙️ **Configuration & Deployment**:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use [S3 with CloudFront](https://www.librechat.ai/docs/configuration/cdn/cloudfront) for stable media links, edge delivery, signed cookies, and secured downloads
- Use completely local or deploy on the cloud
- 📖 **Open-Source & Community**:
- Completely Open-Source & Built in Public
- Community-driven development, support, and feedback
[For a thorough review of our features, see our docs here](https://docs.librechat.ai/) 📚
## 🪶 All-In-One AI Conversations with LibreChat
LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
Open source, actively developed, and built for anyone who values control over their AI infrastructure.
---
## 🌐 Resources
**GitHub Repo:**
- **RAG API:** [github.com/danny-avila/rag_api](https://github.com/danny-avila/rag_api)
- **Website:** [github.com/LibreChat-AI/librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
**Other:**
- **Website:** [librechat.ai](https://librechat.ai)
- **Documentation:** [librechat.ai/docs](https://librechat.ai/docs)
- **Blog:** [librechat.ai/blog](https://librechat.ai/blog)
---
## 📝 Changelog
Keep up with the latest updates by visiting the releases page and notes:
- [Releases](https://github.com/danny-avila/LibreChat/releases)
- [Changelog](https://www.librechat.ai/changelog)
**⚠️ Please consult the [changelog](https://www.librechat.ai/changelog) for breaking changes before updating.**
---
## ⭐ Star History
<p align="center">
<a href="https://star-history.com/#danny-avila/LibreChat&Date">
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date&theme=dark" onerror="this.src='https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date'" />
</a>
</p>
<p align="center">
<a href="https://trendshift.io/repositories/4685" target="_blank" style="padding: 10px;">
<img src="https://trendshift.io/api/badge/repositories/4685" alt="danny-avila%2FLibreChat | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
</a>
<a href="https://runacap.com/ross-index/q1-24/" target="_blank" rel="noopener" style="margin-left: 20px;">
<img style="width: 260px; height: 56px" src="https://runacap.com/wp-content/uploads/2024/04/ROSS_badge_white_Q1_2024.svg" alt="ROSS Index - Fastest Growing Open-Source Startups in Q1 2024 | Runa Capital" width="260" height="56"/>
</a>
</p>
---
## ✨ Contributions
Contributions, suggestions, bug reports and fixes are welcome!
For new features, components, or extensions, please open an issue and discuss before sending a PR.
If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our [Translation Guide](https://www.librechat.ai/docs/translation).
---
## 💖 This project exists in its current state thanks to all the people who contribute
<a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
<img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
</a>
---
## 🎉 Special Thanks
We thank [Locize](https://locize.com) for their translation management tools that support multiple languages in LibreChat.
<p align="center">
<a href="https://locize.com" target="_blank" rel="noopener noreferrer">
<img src="https://github.com/user-attachments/assets/d6b70894-6064-475e-bb65-92a9e23e0077" alt="Locize Logo" height="50">
</a>
</p>
+7
View File
@@ -0,0 +1,7 @@
# WeHub 来源说明
- 原始项目:`danny-avila/LibreChat`
- 原始仓库:https://github.com/danny-avila/LibreChat
- 导入方式:上游默认分支的最新快照
- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准
- 本文件仅用于记录来源,不代表 WeHub 是原项目作者
+230
View File
@@ -0,0 +1,230 @@
<!-- Last synced with README.md: 2026-05-12 (947bfa4c40) -->
<p align="center">
<a href="https://librechat.ai">
<img src="client/public/assets/logo.svg" height="256">
</a>
<h1 align="center">
<a href="https://librechat.ai">LibreChat</a>
</h1>
</p>
<p align="center">
<a href="README.md">English</a> ·
<strong>中文</strong>
</p>
<p align="center">
<a href="https://discord.librechat.ai">
<img
src="https://img.shields.io/discord/1086345563026489514?label=&logo=discord&style=for-the-badge&logoWidth=20&logoColor=white&labelColor=000000&color=blueviolet">
</a>
<a href="https://www.youtube.com/@LibreChat">
<img
src="https://img.shields.io/badge/YOUTUBE-red.svg?style=for-the-badge&logo=youtube&logoColor=white&labelColor=000000&logoWidth=20">
</a>
<a href="https://docs.librechat.ai">
<img
src="https://img.shields.io/badge/DOCS-blue.svg?style=for-the-badge&logo=read-the-docs&logoColor=white&labelColor=000000&logoWidth=20">
</a>
<a aria-label="Sponsors" href="https://github.com/sponsors/danny-avila">
<img
src="https://img.shields.io/badge/SPONSORS-brightgreen.svg?style=for-the-badge&logo=github-sponsors&logoColor=white&labelColor=000000&logoWidth=20">
</a>
</p>
<p align="center">
<a href="https://railway.com/deploy/librechat-official?referralCode=HI9hWz&utm_medium=integration&utm_source=readme&utm_campaign=librechat">
<img src="https://railway.com/button.svg" alt="Deploy on Railway" height="30">
</a>
<a href="https://zeabur.com/templates/0X2ZY8">
<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30"/>
</a>
<a href="https://template.cloud.sealos.io/deploy?templateName=librechat">
<img src="https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg" alt="Deploy on Sealos" height="30">
</a>
</p>
<p align="center">
<a href="https://www.librechat.ai/docs/translation">
<img
src="https://img.shields.io/badge/dynamic/json.svg?style=for-the-badge&color=2096F3&label=locize&query=%24.translatedPercentage&url=https://api.locize.app/badgedata/4cb2598b-ed4d-469c-9b04-2ed531a8cb45&suffix=%+translated"
alt="翻译进度">
</a>
</p>
# ✨ 功能
- 🖥️ **UI 与体验**:受 ChatGPT 启发,并具备更强的设计与功能。
- 🤖 **AI 模型选择**
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (包含 Azure)
- [自定义端点 (Custom Endpoints)](https://www.librechat.ai/docs/quick_start/custom_endpoints)LibreChat 支持任何兼容 OpenAI 规范的 API,无需代理。
- 兼容[本地与远程 AI 服务商](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints)
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen 等。
- 🔧 **[代码解释器 (Code Interpreter) API](https://www.librechat.ai/docs/features/code_interpreter)**
- 安全的沙箱执行环境,支持 Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust 和 Fortran。
- 无缝文件处理:直接上传、处理并下载文件。
- 隐私无忧:完全隔离且安全的执行环境。
- 🔦 **智能体与工具集成**
- **[LibreChat 智能体 (Agents)](https://www.librechat.ai/docs/features/agents)**
- 无代码定制助手:无需编程即可构建专业化的 AI 驱动助手。
- 智能体市场:发现并部署社区构建的智能体。
- 协作共享:与特定用户和群组共享智能体。
- 灵活且可扩展:支持 MCP 服务器、工具、文件搜索、代码执行等。
- [Skills](https://www.librechat.ai/docs/features/skills):创建可复用的 `SKILL.md` 指令包,用于手动、自动或始终启用的智能体工作流。
- [Subagents](https://www.librechat.ai/docs/features/subagents):将专门任务委派给拥有独立上下文窗口的隔离子智能体运行。
- 兼容自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API 等。
- [支持模型上下文协议 (MCP)](https://modelcontextprotocol.io/clients#librechat) 用于工具调用。
- 🔍 **网页搜索**
- 搜索互联网并检索相关信息以增强 AI 上下文。
- 结合搜索提供商、内容爬虫和结果重排序,确保最佳检索效果。
- **可定制 Jina 重排序**:配置自定义 Jina API URL 用于重排序服务。
- **[了解更多 →](https://www.librechat.ai/docs/features/web_search)**
- 🪄 **支持代码 Artifacts 的生成式 UI**
- [代码 Artifacts](https://youtu.be/GfTj7O4gmd0?si=WJbdnemZpJzBrJo3) 允许在对话中直接创建 React 组件、HTML 页面和 Mermaid 图表。
- 🎨 **图像生成与编辑**
- 使用 [GPT-Image-1](https://www.librechat.ai/docs/features/image_gen#1--openai-image-tools-recommended) 进行文生图与图生图。
- 支持 [DALL-E (3/2)](https://www.librechat.ai/docs/features/image_gen#2--dalle-legacy), [Stable Diffusion](https://www.librechat.ai/docs/features/image_gen#3--stable-diffusion-local), [Flux](https://www.librechat.ai/docs/features/image_gen#4--flux) 或任何 [MCP 服务器](https://www.librechat.ai/docs/features/image_gen#5--model-context-protocol-mcp)。
- 根据提示词生成惊艳的视觉效果,或通过指令精修现有图像。
- 💾 **预设与上下文管理**
- 创建、保存并分享自定义预设。
- 在对话中随时切换 AI 端点和预设。
- 编辑、重新提交并通过对话分支继续消息。
- 创建并与特定用户和群组共享提示词。
- [消息与对话分叉 (Fork)](https://www.librechat.ai/docs/features/fork) 以实现高级上下文控制。
- 💬 **多模态与文件交互**
- 使用 Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision 和 Gemini 上传并分析图像 📸。
- 支持通过自定义端点、OpenAI, Azure, Anthropic, AWS Bedrock 和 Google 进行文件对话 🗃️。
- 🌎 **多语言 UI**
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
- 🧠 **推理 UI**
- 针对 DeepSeek-R1 等思维链/推理 AI 模型的动态推理 UI。
- 🎨 **可定制界面**
- 可定制的下拉菜单和界面,同时适配高级用户和初学者。
- 🌊 **[可恢复流 (Resumable Streams)](https://www.librechat.ai/docs/features/resumable_streams)**
- 永不丢失响应:AI 响应在连接中断后自动重连并继续。
- 多标签页与多设备同步:在多个标签页打开同一对话,或在另一设备上继续。
- 生产级可靠性:支持从单机部署到基于 Redis 的水平扩展。
- 🗣️ **语音与音频**
- 通过语音转文字和文字转语音实现免提对话。
- 自动发送并播放音频。
- 支持 OpenAI, Azure OpenAI 和 Elevenlabs。
- 📥 **导入与导出对话**
- 从 LibreChat, ChatGPT, Chatbot UI 导入对话。
- 将对话导出为截图、Markdown、文本、JSON。
- 🔍 **搜索与发现**
- 搜索所有消息和对话。
- 👥 **多用户与安全访问**
- 支持 OAuth2, LDAP 和电子邮件登录的多用户安全认证。
- 内置审核系统和 Token 消耗管理工具。
- ⚙️ **配置与部署**
- 支持代理、反向代理、Docker 及多种部署选项。
- 使用 [S3 与 CloudFront](https://www.librechat.ai/docs/configuration/cdn/cloudfront) 获得稳定的媒体链接、边缘分发、签名 Cookie 和安全下载。
- 可完全本地运行或部署在云端。
- 📖 **开源与社区**
- 完全开源且在公众监督下开发。
- 社区驱动的开发、支持与反馈。
[查看我们的文档了解更多功能详情](https://docs.librechat.ai/) 📚
## 🪶 LibreChat:全方位的 AI 对话平台
LibreChat 是一个自托管的 AI 对话平台,在一个注重隐私的统一界面中整合了所有主流 AI 服务商。
除了对话功能外,LibreChat 还提供 AI 智能体、模型上下文协议 (MCP) 支持、Artifacts、代码解释器、自定义操作、对话搜索,以及企业级多用户认证。
开源、活跃开发中,专为重视 AI 基础设施自主可控的用户而构建。
---
## 🌐 资源
**GitHub 仓库:**
- **RAG API:** [github.com/danny-avila/rag_api](https://github.com/danny-avila/rag_api)
- **网站:** [github.com/LibreChat-AI/librechat.ai](https://github.com/LibreChat-AI/librechat.ai)
**其他:**
- **官方网站:** [librechat.ai](https://librechat.ai)
- **帮助文档:** [librechat.ai/docs](https://librechat.ai/docs)
- **博客:** [librechat.ai/blog](https://librechat.ai/blog)
---
## 📝 更新日志
访问发布页面和更新日志以了解最新动态:
- [发布页面 (Releases)](https://github.com/danny-avila/LibreChat/releases)
- [更新日志 (Changelog)](https://www.librechat.ai/changelog)
**⚠️ 在更新前请务必查看[更新日志](https://www.librechat.ai/changelog)以了解破坏性更改。**
---
## ⭐ Star 历史
<p align="center">
<a href="https://star-history.com/#danny-avila/LibreChat&Date">
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date&theme=dark" onerror="this.src='https://api.star-history.com/svg?repos=danny-avila/LibreChat&type=Date'" />
</a>
</p>
<p align="center">
<a href="https://trendshift.io/repositories/4685" target="_blank" style="padding: 10px;">
<img src="https://trendshift.io/api/badge/repositories/4685" alt="danny-avila%2FLibreChat | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
</a>
<a href="https://runacap.com/ross-index/q1-24/" target="_blank" rel="noopener" style="margin-left: 20px;">
<img style="width: 260px; height: 56px" src="https://runacap.com/wp-content/uploads/2024/04/ROSS_badge_white_Q1_2024.svg" alt="ROSS Index - 2024年第一季度增长最快的开源初创公司 | Runa Capital" width="260" height="56"/>
</a>
</p>
---
## ✨ 贡献
欢迎任何形式的贡献、建议、错误报告和修复!
对于新功能、组件或扩展,请在发送 PR 前开启 issue 进行讨论。
如果您想帮助我们将 LibreChat 翻译成您的母语,我们非常欢迎!改进翻译不仅能让全球用户更轻松地使用 LibreChat,还能提升整体用户体验。请查看我们的[翻译指南](https://www.librechat.ai/docs/translation)。
---
## 💖 感谢所有贡献者
<a href="https://github.com/danny-avila/LibreChat/graphs/contributors">
<img src="https://contrib.rocks/image?repo=danny-avila/LibreChat" />
</a>
---
## 🎉 特别鸣谢
感谢 [Locize](https://locize.com) 提供的翻译管理工具,支持 LibreChat 的多语言功能。
<p align="center">
<a href="https://locize.com" target="_blank" rel="noopener noreferrer">
<img src="https://github.com/user-attachments/assets/d6b70894-6064-475e-bb65-92a9e23e0077" alt="Locize Logo" height="50">
</a>
</p>
File diff suppressed because it is too large Load Diff
+167
View File
@@ -0,0 +1,167 @@
const { z } = require('zod');
const axios = require('axios');
const { Ollama } = require('ollama');
const { sleep } = require('@librechat/agents');
const { logger } = require('@librechat/data-schemas');
const { Constants } = require('librechat-data-provider');
const { resolveHeaders, deriveBaseURL } = require('@librechat/api');
const ollamaPayloadSchema = z.object({
mirostat: z.number().optional(),
mirostat_eta: z.number().optional(),
mirostat_tau: z.number().optional(),
num_ctx: z.number().optional(),
repeat_last_n: z.number().optional(),
repeat_penalty: z.number().optional(),
temperature: z.number().optional(),
seed: z.number().nullable().optional(),
stop: z.array(z.string()).optional(),
tfs_z: z.number().optional(),
num_predict: z.number().optional(),
top_k: z.number().optional(),
top_p: z.number().optional(),
stream: z.optional(z.boolean()),
model: z.string(),
});
/**
* @param {string} imageUrl
* @returns {string}
* @throws {Error}
*/
const getValidBase64 = (imageUrl) => {
const parts = imageUrl.split(';base64,');
if (parts.length === 2) {
return parts[1];
} else {
logger.error('Invalid or no Base64 string found in URL.');
}
};
class OllamaClient {
constructor(options = {}) {
const host = deriveBaseURL(options.baseURL ?? 'http://localhost:11434');
this.streamRate = options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
this.headers = options.headers ?? {};
/** @type {Ollama} */
this.client = new Ollama({ host });
}
/**
* Fetches Ollama models from the specified base API path.
* @param {string} baseURL
* @param {Object} [options] - Optional configuration
* @param {Partial<IUser>} [options.user] - User object for header resolution
* @param {Record<string, string>} [options.headers] - Headers to include in the request
* @returns {Promise<string[]>} The Ollama models.
* @throws {Error} Throws if the Ollama API request fails
*/
static async fetchModels(baseURL, options = {}) {
if (!baseURL) {
return [];
}
const ollamaEndpoint = deriveBaseURL(baseURL);
const resolvedHeaders = resolveHeaders({
headers: options.headers,
user: options.user,
});
/** @type {Promise<AxiosResponse<OllamaListResponse>>} */
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
headers: resolvedHeaders,
timeout: 5000,
});
const models = response.data.models.map((tag) => tag.name);
return models;
}
/**
* @param {ChatCompletionMessage[]} messages
* @returns {OllamaMessage[]}
*/
static formatOpenAIMessages(messages) {
const ollamaMessages = [];
for (const message of messages) {
if (typeof message.content === 'string') {
ollamaMessages.push({
role: message.role,
content: message.content,
});
continue;
}
let aggregatedText = '';
let imageUrls = [];
for (const content of message.content) {
if (content.type === 'text') {
aggregatedText += content.text + ' ';
} else if (content.type === 'image_url') {
imageUrls.push(getValidBase64(content.image_url.url));
}
}
const ollamaMessage = {
role: message.role,
content: aggregatedText.trim(),
};
if (imageUrls.length > 0) {
ollamaMessage.images = imageUrls;
}
ollamaMessages.push(ollamaMessage);
}
return ollamaMessages;
}
/***
* @param {Object} params
* @param {ChatCompletionPayload} params.payload
* @param {onTokenProgress} params.onProgress
* @param {AbortController} params.abortController
*/
async chatCompletion({ payload, onProgress, abortController = null }) {
let intermediateReply = '';
const parameters = ollamaPayloadSchema.parse(payload);
const messages = OllamaClient.formatOpenAIMessages(payload.messages);
if (parameters.stream) {
const stream = await this.client.chat({
messages,
...parameters,
});
for await (const chunk of stream) {
const token = chunk.message.content;
intermediateReply += token;
onProgress(token);
if (abortController.signal.aborted) {
stream.controller.abort();
break;
}
await sleep(this.streamRate);
}
}
// TODO: regular completion
else {
// const generation = await this.client.generate(payload);
}
return intermediateReply;
}
catch(err) {
logger.error('[OllamaClient.chatCompletion]', err);
throw err;
}
}
module.exports = { OllamaClient, ollamaPayloadSchema };
+60
View File
@@ -0,0 +1,60 @@
const { Readable } = require('stream');
const { logger } = require('@librechat/data-schemas');
class TextStream extends Readable {
constructor(text, options = {}) {
super(options);
this.text = text;
this.currentIndex = 0;
this.minChunkSize = options.minChunkSize ?? 2;
this.maxChunkSize = options.maxChunkSize ?? 4;
this.delay = options.delay ?? 20; // Time in milliseconds
}
_read() {
const { delay, minChunkSize, maxChunkSize } = this;
if (this.currentIndex < this.text.length) {
setTimeout(() => {
const remainingChars = this.text.length - this.currentIndex;
const chunkSize = Math.min(this.randomInt(minChunkSize, maxChunkSize + 1), remainingChars);
const chunk = this.text.slice(this.currentIndex, this.currentIndex + chunkSize);
this.push(chunk);
this.currentIndex += chunkSize;
}, delay);
} else {
this.push(null); // signal end of data
}
}
randomInt(min, max) {
return Math.floor(Math.random() * (max - min)) + min;
}
async processTextStream(onProgressCallback) {
const streamPromise = new Promise((resolve, reject) => {
this.on('data', (chunk) => {
onProgressCallback(chunk.toString());
});
this.on('end', () => {
// logger.debug('[processTextStream] Stream ended');
resolve();
});
this.on('error', (err) => {
reject(err);
});
});
try {
await streamPromise;
} catch (err) {
logger.error('[processTextStream] Error in text stream:', err);
// Handle the error appropriately, e.g., return an error message or throw an error
}
}
}
module.exports = TextStream;
+7
View File
@@ -0,0 +1,7 @@
const TextStream = require('./TextStream');
const toolUtils = require('./tools/util');
module.exports = {
TextStream,
...toolUtils,
};
+537
View File
@@ -0,0 +1,537 @@
const dedent = require('dedent');
const { EModelEndpoint, ArtifactModes } = require('librechat-data-provider');
const { generateShadcnPrompt } = require('~/app/clients/prompts/shadcn-docs/generate');
const { components } = require('~/app/clients/prompts/shadcn-docs/components');
/** @deprecated */
// eslint-disable-next-line no-unused-vars
const artifactsPromptV1 = dedent`The assistant can create and reference artifacts during conversations.
Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times
# Don't use artifacts for...
- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
- Suggestions, commentary, or feedback on existing artifacts
- Conversational or explanatory content that doesn't represent a standalone piece of work
- Content that is dependent on the current conversational context to be useful
- Content that is unlikely to be modified or iterated upon by the user
- Request from users that appears to be a one-off question
# Usage notes
- One artifact per message unless specifically requested
- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
- Always provide complete, specific, and fully functional content without any placeholders, ellipses, or 'remains the same' comments.
<artifact_instructions>
When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
1. Create the artifact using the following format:
:::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
\`\`\`\`
Your artifact content here
\`\`\`\`
:::
2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
3. Include a \`title\` attribute to provide a brief title or description of the content.
4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
- HTML: "text/html"
- The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- The only place external scripts can be imported from is https://cdnjs.cloudflare.com
- Mermaid Diagrams: "application/vnd.mermaid"
- The user interface will render Mermaid diagrams placed within the artifact tags.
- React Components: "application/vnd.react"
- Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
- When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
- Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
- Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
- The lucide-react@0.263.1 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
- The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
- The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
- Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
- NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
7. Use a backtick fence longer than any backtick fence in the artifact content. Use a 4-backtick fence by default; if the artifact content contains a 4-backtick fence, use 5 backticks, and so on.
</artifact_instructions>
Here are some examples of correct usage of artifacts:
<examples>
<example_docstring>
This example demonstrates how to create a Mermaid artifact for a simple flow chart.
</example_docstring>
<example>
<user_query>Can you create a simple flow chart showing the process of making tea using Mermaid?</user_query>
<assistant_response>
Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
:::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
\`\`\`\`mermaid
graph TD
A[Start] --> B{Water boiled?}
B -->|Yes| C[Add tea leaves to cup]
B -->|No| D[Boil water]
D --> B
C --> E[Pour boiling water into cup]
E --> F[Steep tea for desired time]
F --> G[Remove tea leaves]
G --> H[Add milk or sugar, if desired]
H --> I[Enjoy your tea!]
I --> J[End]
\`\`\`\`
:::
This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
1. Start
2. Check if water is boiled
3. If not boiled, boil the water
4. Once water is boiled, add tea leaves to the cup
5. Pour boiling water into the cup
6. Steep the tea for the desired time
7. Remove the tea leaves
8. Optionally add milk or sugar
9. Enjoy your tea!
10. End
This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
</assistant_response>
</example>
</examples>`;
const artifactsPrompt = dedent`The assistant can create and reference artifacts during conversations.
Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times
# Don't use artifacts for...
- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
- Suggestions, commentary, or feedback on existing artifacts
- Conversational or explanatory content that doesn't represent a standalone piece of work
- Content that is dependent on the current conversational context to be useful
- Content that is unlikely to be modified or iterated upon by the user
- Request from users that appears to be a one-off question
# Usage notes
- One artifact per message unless specifically requested
- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
- Always provide complete, specific, and fully functional content for artifacts without any snippets, placeholders, ellipses, or 'remains the same' comments.
- If an artifact is not necessary or requested, the assistant should not mention artifacts at all, and respond to the user accordingly.
<artifact_instructions>
When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
1. Create the artifact using the following format:
:::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
\`\`\`\`
Your artifact content here
\`\`\`\`
:::
2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
3. Include a \`title\` attribute to provide a brief title or description of the content.
4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
- HTML: "text/html"
- The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- The only place external scripts can be imported from is https://cdnjs.cloudflare.com
- SVG: "image/svg+xml"
- The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
- The assistant should specify the viewbox of the SVG rather than defining a width/height
- Markdown: "text/markdown" or "text/md"
- The user interface will render Markdown content placed within the artifact tags.
- Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
- Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
- Mermaid Diagrams: "application/vnd.mermaid"
- The user interface will render Mermaid diagrams placed within the artifact tags.
- React Components: "application/vnd.react"
- Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
- When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
- Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
- Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
- The lucide-react@0.394.0 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
- The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
- The three.js library is available to be imported, e.g. \`import * as THREE from "three";\`
- The date-fns library is available to be imported, e.g. \`import { compareAsc, format } from "date-fns";\`
- The react-day-picker library is available to be imported, e.g. \`import { DayPicker } from "react-day-picker";\`
- The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
- Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
- NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- When iterating on code, ensure that the code is complete and functional without any snippets, placeholders, or ellipses.
- If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
7. Use a backtick fence longer than any backtick fence in the artifact content. Use a 4-backtick fence by default; if the artifact content contains a 4-backtick fence, use 5 backticks, and so on.
</artifact_instructions>
Here are some examples of correct usage of artifacts:
<examples>
<example_docstring>
This example demonstrates how to create a Mermaid artifact for a simple flow chart.
</example_docstring>
<example>
<user_query>Can you create a simple flow chart showing the process of making tea using Mermaid?</user_query>
<assistant_response>
Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
:::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
\`\`\`\`mermaid
graph TD
A[Start] --> B{Water boiled?}
B -->|Yes| C[Add tea leaves to cup]
B -->|No| D[Boil water]
D --> B
C --> E[Pour boiling water into cup]
E --> F[Steep tea for desired time]
F --> G[Remove tea leaves]
G --> H[Add milk or sugar, if desired]
H --> I[Enjoy your tea!]
I --> J[End]
\`\`\`\`
:::
This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
1. Start
2. Check if water is boiled
3. If not boiled, boil the water
4. Once water is boiled, add tea leaves to the cup
5. Pour boiling water into the cup
6. Steep the tea for the desired time
7. Remove the tea leaves
8. Optionally add milk or sugar
9. Enjoy your tea!
10. End
This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
</assistant_response>
</example>
<example>
<user_query>Create a simple React counter component</user_query>
<assistant_response>
Here's a simple React counter component:
:::artifact{identifier="react-counter" type="application/vnd.react" title="React Counter"}
\`\`\`\`
import { useState } from 'react';
export default function Counter() {
const [count, setCount] = useState(0);
return (
<div className="p-4">
<p className="mb-2">Count: {count}</p>
<button className="bg-blue-500 text-white px-4 py-2 rounded" onClick={() => setCount(count + 1)}>
Increment
</button>
</div>
);
}
\`\`\`\`
:::
This component creates a simple counter with an increment button.
</assistant_response>
</example>
<example>
<user_query>Create a basic HTML structure for a blog post</user_query>
<assistant_response>
Here's a basic HTML structure for a blog post:
:::artifact{identifier="blog-post-html" type="text/html" title="Blog Post HTML"}
\`\`\`\`
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>My Blog Post</title>
<style>
body { font-family: Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; }
h1 { color: #333; }
p { margin-bottom: 15px; }
</style>
</head>
<body>
<header>
<h1>My First Blog Post</h1>
</header>
<main>
<article>
<p>This is the content of my blog post. It's short and sweet!</p>
</article>
</main>
<footer>
<p>&copy; 2023 My Blog</p>
</footer>
</body>
</html>
\`\`\`\`
:::
This HTML structure provides a simple layout for a blog post.
</assistant_response>
</example>
</examples>`;
const artifactsOpenAIPrompt = dedent`The assistant can create and reference artifacts during conversations.
Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.
# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times
# Don't use artifacts for...
- Simple, informational, or short content, such as brief code snippets, mathematical equations, or small examples
- Primarily explanatory, instructional, or illustrative content, such as examples provided to clarify a concept
- Suggestions, commentary, or feedback on existing artifacts
- Conversational or explanatory content that doesn't represent a standalone piece of work
- Content that is dependent on the current conversational context to be useful
- Content that is unlikely to be modified or iterated upon by the user
- Request from users that appears to be a one-off question
# Usage notes
- One artifact per message unless specifically requested
- Prefer in-line content (don't use artifacts) when possible. Unnecessary use of artifacts can be jarring for users.
- If a user asks the assistant to "draw an SVG" or "make a website," the assistant does not need to explain that it doesn't have these capabilities. Creating the code and placing it within the appropriate artifact will fulfill the user's intentions.
- If asked to generate an image, the assistant can offer an SVG instead. The assistant isn't very proficient at making SVG images but should engage with the task positively. Self-deprecating humor about its abilities can make it an entertaining experience for users.
- The assistant errs on the side of simplicity and avoids overusing artifacts for content that can be effectively presented within the conversation.
- Always provide complete, specific, and fully functional content for artifacts without any snippets, placeholders, ellipses, or 'remains the same' comments.
- If an artifact is not necessary or requested, the assistant should not mention artifacts at all, and respond to the user accordingly.
## Artifact Instructions
When collaborating with the user on creating content that falls into compatible categories, the assistant should follow these steps:
1. Create the artifact using the following remark-directive markdown format:
:::artifact{identifier="unique-identifier" type="mime-type" title="Artifact Title"}
\`\`\`\`
Your artifact content here
\`\`\`\`
:::
a. Example of correct format:
:::artifact{identifier="example-artifact" type="text/plain" title="Example Artifact"}
\`\`\`\`
This is the content of the artifact.
It can span multiple lines.
\`\`\`\`
:::
b. Common mistakes to avoid:
- Don't split the opening ::: line
- Don't add extra backticks outside the artifact structure
- Don't omit the closing :::
2. Assign an identifier to the \`identifier\` attribute. For updates, reuse the prior identifier. For new artifacts, the identifier should be descriptive and relevant to the content, using kebab-case (e.g., "example-code-snippet"). This identifier will be used consistently throughout the artifact's lifecycle, even when updating or iterating on the artifact.
3. Include a \`title\` attribute to provide a brief title or description of the content.
4. Add a \`type\` attribute to specify the type of content the artifact represents. Assign one of the following values to the \`type\` attribute:
- HTML: "text/html"
- The user interface can render single file HTML pages placed within the artifact tags. HTML, JS, and CSS should be in a single file when using the \`text/html\` type.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- The only place external scripts can be imported from is https://cdnjs.cloudflare.com
- SVG: "image/svg+xml"
- The user interface will render the Scalable Vector Graphics (SVG) image within the artifact tags.
- The assistant should specify the viewbox of the SVG rather than defining a width/height
- Markdown: "text/markdown" or "text/md"
- The user interface will render Markdown content placed within the artifact tags.
- Supports standard Markdown syntax including headers, lists, links, images, code blocks, tables, and more.
- Both "text/markdown" and "text/md" are accepted as valid MIME types for Markdown content.
- Mermaid Diagrams: "application/vnd.mermaid"
- The user interface will render Mermaid diagrams placed within the artifact tags.
- React Components: "application/vnd.react"
- Use this for displaying either: React elements, e.g. \`<strong>Hello World!</strong>\`, React pure functional components, e.g. \`() => <strong>Hello World!</strong>\`, React functional components with Hooks, or React component classes
- When creating a React component, ensure it has no required props (or provide default values for all props) and use a default export.
- Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. \`h-[600px]\`).
- Base React is available to be imported. To use hooks, first import it at the top of the artifact, e.g. \`import { useState } from "react"\`
- The lucide-react@0.394.0 library is available to be imported. e.g. \`import { Camera } from "lucide-react"\` & \`<Camera color="red" size={48} />\`
- The recharts charting library is available to be imported, e.g. \`import { LineChart, XAxis, ... } from "recharts"\` & \`<LineChart ...><XAxis dataKey="name"> ...\`
- The three.js library is available to be imported, e.g. \`import * as THREE from "three";\`
- The date-fns library is available to be imported, e.g. \`import { compareAsc, format } from "date-fns";\`
- The react-day-picker library is available to be imported, e.g. \`import { DayPicker } from "react-day-picker";\`
- The assistant can use prebuilt components from the \`shadcn/ui\` library after it is imported: \`import { Alert, AlertDescription, AlertTitle, AlertDialog, AlertDialogAction } from '/components/ui/alert';\`. If using components from the shadcn/ui library, the assistant mentions this to the user and offers to help them install the components if necessary.
- Components MUST be imported from \`/components/ui/name\` and NOT from \`/components/name\` or \`@/components/ui/name\`.
- NO OTHER LIBRARIES (e.g. zod, hookform) ARE INSTALLED OR ABLE TO BE IMPORTED.
- Images from the web are not allowed, but you can use placeholder images by specifying the width and height like so \`<img src="/api/placeholder/400/320" alt="placeholder" />\`
- When iterating on code, ensure that the code is complete and functional without any snippets, placeholders, or ellipses.
- If you are unable to follow the above requirements for any reason, don't use artifacts and use regular code blocks instead, which will not attempt to render the component.
5. Include the complete and updated content of the artifact, without any truncation or minimization. Don't use "// rest of the code remains the same...".
6. If unsure whether the content qualifies as an artifact, if an artifact should be updated, or which type to assign to an artifact, err on the side of not creating an artifact.
7. Use a backtick fence longer than any backtick fence in the artifact content. Use a 4-backtick fence by default; if the artifact content contains a 4-backtick fence, use 5 backticks, and so on.
Here are some examples of correct usage of artifacts:
## Examples
### Example 1
This example demonstrates how to create a Mermaid artifact for a simple flow chart.
User: Can you create a simple flow chart showing the process of making tea using Mermaid?
Assistant: Sure! Here's a simple flow chart depicting the process of making tea using Mermaid syntax:
:::artifact{identifier="tea-making-flowchart" type="application/vnd.mermaid" title="Flow chart: Making Tea"}
\`\`\`\`mermaid
graph TD
A[Start] --> B{Water boiled?}
B -->|Yes| C[Add tea leaves to cup]
B -->|No| D[Boil water]
D --> B
C --> E[Pour boiling water into cup]
E --> F[Steep tea for desired time]
F --> G[Remove tea leaves]
G --> H[Add milk or sugar, if desired]
H --> I[Enjoy your tea!]
I --> J[End]
\`\`\`\`
:::
This flow chart uses Mermaid syntax to visualize the steps involved in making a cup of tea. Here's a brief explanation of the process:
1. Start
2. Check if water is boiled
3. If not boiled, boil the water
4. Once water is boiled, add tea leaves to the cup
5. Pour boiling water into the cup
6. Steep the tea for the desired time
7. Remove the tea leaves
8. Optionally add milk or sugar
9. Enjoy your tea!
10. End
This chart provides a clear visual representation of the tea-making process. You can easily modify or expand this chart if you want to add more details or steps to the process. Let me know if you'd like any changes or have any questions!
---
### Example 2
User: Create a simple React counter component
Assistant: Here's a simple React counter component:
:::artifact{identifier="react-counter" type="application/vnd.react" title="React Counter"}
\`\`\`\`
import { useState } from 'react';
export default function Counter() {
const [count, setCount] = useState(0);
return (
<div className="p-4">
<p className="mb-2">Count: {count}</p>
<button className="bg-blue-500 text-white px-4 py-2 rounded" onClick={() => setCount(count + 1)}>
Increment
</button>
</div>
);
}
\`\`\`\`
:::
This component creates a simple counter with an increment button.
---
### Example 3
User: Create a basic HTML structure for a blog post
Assistant: Here's a basic HTML structure for a blog post:
:::artifact{identifier="blog-post-html" type="text/html" title="Blog Post HTML"}
\`\`\`\`
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>My Blog Post</title>
<style>
body { font-family: Arial, sans-serif; line-height: 1.6; max-width: 800px; margin: 0 auto; padding: 20px; }
h1 { color: #333; }
p { margin-bottom: 15px; }
</style>
</head>
<body>
<header>
<h1>My First Blog Post</h1>
</header>
<main>
<article>
<p>This is the content of my blog post. It's short and sweet!</p>
</article>
</main>
<footer>
<p>&copy; 2023 My Blog</p>
</footer>
</body>
</html>
\`\`\`\`
:::
This HTML structure provides a simple layout for a blog post.
---`;
/**
*
* @param {Object} params
* @param {EModelEndpoint | string} params.endpoint - The current endpoint
* @param {ArtifactModes} params.artifacts - The current artifact mode
* @returns
*/
const generateArtifactsPrompt = ({ endpoint, artifacts }) => {
if (artifacts === ArtifactModes.CUSTOM) {
return null;
}
let prompt = artifactsPrompt;
if (endpoint !== EModelEndpoint.anthropic) {
prompt = artifactsOpenAIPrompt;
}
if (artifacts === ArtifactModes.SHADCNUI) {
prompt += generateShadcnPrompt({ components, useXML: endpoint === EModelEndpoint.anthropic });
}
return prompt;
};
module.exports = generateArtifactsPrompt;
@@ -0,0 +1,159 @@
const axios = require('axios');
const { isEnabled, generateShortLivedToken, logAxiosError } = require('@librechat/api');
const footer = `Use the context as your learned knowledge to better answer the user.
In your response, remember to follow these guidelines:
- If you don't know the answer, simply say that you don't know.
- If you are unsure how to answer, ask for clarification.
- Avoid mentioning that you obtained the information from the context.
`;
function createContextHandlers(req, userMessageContent) {
if (!process.env.RAG_API_URL) {
return;
}
const queryPromises = [];
const processedFiles = [];
const processedIds = new Set();
const jwtToken = generateShortLivedToken(req.user.id);
const useFullContext = isEnabled(process.env.RAG_USE_FULL_CONTEXT);
const query = async (file) => {
if (useFullContext) {
return axios.get(`${process.env.RAG_API_URL}/documents/${file.file_id}/context`, {
headers: {
Authorization: `Bearer ${jwtToken}`,
},
});
}
return axios.post(
`${process.env.RAG_API_URL}/query`,
{
file_id: file.file_id,
query: userMessageContent,
k: 4,
},
{
headers: {
Authorization: `Bearer ${jwtToken}`,
'Content-Type': 'application/json',
},
},
);
};
const processFile = async (file) => {
if (file.embedded && !processedIds.has(file.file_id)) {
try {
const promise = query(file);
queryPromises.push(promise);
processedFiles.push(file);
processedIds.add(file.file_id);
} catch (error) {
logAxiosError({ message: `Error processing file ${file.filename}`, error });
}
}
};
const createContext = async () => {
try {
if (!queryPromises.length || !processedFiles.length) {
return '';
}
const oneFile = processedFiles.length === 1;
const header = `The user has attached ${oneFile ? 'a' : processedFiles.length} file${
!oneFile ? 's' : ''
} to the conversation:`;
const files = `${
oneFile
? ''
: `
<files>`
}${processedFiles
.map(
(file) => `
<file>
<filename>${file.filename}</filename>
<type>${file.type}</type>
</file>`,
)
.join('')}${
oneFile
? ''
: `
</files>`
}`;
const resolvedQueries = await Promise.all(queryPromises);
const context =
resolvedQueries.length === 0
? '\n\tThe semantic search did not return any results.'
: resolvedQueries
.map((queryResult, index) => {
const file = processedFiles[index];
let contextItems = queryResult.data;
const generateContext = (currentContext) =>
`
<file>
<filename>${file.filename}</filename>
<context>${currentContext}
</context>
</file>`;
if (useFullContext) {
return generateContext(`\n${contextItems}`);
}
contextItems = queryResult.data
.map((item) => {
const pageContent = item[0].page_content;
return `
<contextItem>
<![CDATA[${pageContent?.trim()}]]>
</contextItem>`;
})
.join('');
return generateContext(contextItems);
})
.join('');
if (useFullContext) {
const prompt = `${header}
${context}
${footer}`;
return prompt;
}
const prompt = `${header}
${files}
A semantic search was executed with the user's message as the query, retrieving the following context inside <context></context> XML tags.
<context>${context}
</context>
${footer}`;
return prompt;
} catch (error) {
logAxiosError({ message: 'Error creating context', error });
throw error;
}
};
return {
processFile,
createContext,
};
}
module.exports = createContextHandlers;
@@ -0,0 +1,34 @@
/**
* Generates a prompt instructing the user to describe an image in detail, tailored to different types of visual content.
* @param {boolean} pluralized - Whether to pluralize the prompt for multiple images.
* @returns {string} - The generated vision prompt.
*/
const createVisionPrompt = (pluralized = false) => {
return `Please describe the image${
pluralized ? 's' : ''
} in detail, covering relevant aspects such as:
For photographs, illustrations, or artwork:
- The main subject(s) and their appearance, positioning, and actions
- The setting, background, and any notable objects or elements
- Colors, lighting, and overall mood or atmosphere
- Any interesting details, textures, or patterns
- The style, technique, or medium used (if discernible)
For screenshots or images containing text:
- The content and purpose of the text
- The layout, formatting, and organization of the information
- Any notable visual elements, such as logos, icons, or graphics
- The overall context or message conveyed by the screenshot
For graphs, charts, or data visualizations:
- The type of graph or chart (e.g., bar graph, line chart, pie chart)
- The variables being compared or analyzed
- Any trends, patterns, or outliers in the data
- The axis labels, scales, and units of measurement
- The title, legend, and any additional context provided
Be as specific and descriptive as possible while maintaining clarity and concision.`;
};
module.exports = createVisionPrompt;
@@ -0,0 +1,514 @@
const { ContentTypes } = require('librechat-data-provider');
const {
AIMessage,
ToolMessage,
HumanMessage,
SystemMessage,
} = require('@librechat/agents/langchain/messages');
const { formatAgentMessages } = require('./formatMessages');
describe('formatAgentMessages', () => {
it('should format simple user and AI messages', () => {
const payload = [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there!' },
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(2);
expect(result[0]).toBeInstanceOf(HumanMessage);
expect(result[1]).toBeInstanceOf(AIMessage);
});
it('should handle system messages', () => {
const payload = [{ role: 'system', content: 'You are a helpful assistant.' }];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(SystemMessage);
});
it('should format messages with content arrays', () => {
const payload = [
{
role: 'user',
content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello' }],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(HumanMessage);
});
it('should handle tool calls and create ToolMessages', () => {
const payload = [
{
role: 'assistant',
content: [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: 'Let me check that for you.',
tool_call_ids: ['123'],
},
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: '123',
name: 'search',
args: '{"query":"weather"}',
output: 'The weather is sunny.',
},
},
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(2);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[1]).toBeInstanceOf(ToolMessage);
expect(result[0].tool_calls).toHaveLength(1);
expect(result[1].tool_call_id).toBe('123');
});
it('should handle multiple content parts in assistant messages', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Part 1' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Part 2' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[0].content).toHaveLength(2);
});
it('should throw an error for invalid tool call structure', () => {
const payload = [
{
role: 'assistant',
content: [
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: '123',
name: 'search',
args: '{"query":"weather"}',
output: 'The weather is sunny.',
},
},
],
},
];
expect(() => formatAgentMessages(payload)).toThrow('Invalid tool call structure');
});
it('should handle tool calls with non-JSON args', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Checking...', tool_call_ids: ['123'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: '123',
name: 'search',
args: 'non-json-string',
output: 'Result',
},
},
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(2);
expect(result[0].tool_calls[0].args).toStrictEqual({ input: 'non-json-string' });
});
it('should handle complex tool calls with multiple steps', () => {
const payload = [
{
role: 'assistant',
content: [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: "I'll search for that information.",
tool_call_ids: ['search_1'],
},
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: 'search_1',
name: 'search',
args: '{"query":"weather in New York"}',
output: 'The weather in New York is currently sunny with a temperature of 75°F.',
},
},
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: "Now, I'll convert the temperature.",
tool_call_ids: ['convert_1'],
},
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: 'convert_1',
name: 'convert_temperature',
args: '{"temperature": 75, "from": "F", "to": "C"}',
output: '23.89°C',
},
},
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's your answer." },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(5);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[1]).toBeInstanceOf(ToolMessage);
expect(result[2]).toBeInstanceOf(AIMessage);
expect(result[3]).toBeInstanceOf(ToolMessage);
expect(result[4]).toBeInstanceOf(AIMessage);
// Check first AIMessage
expect(result[0].content).toBe("I'll search for that information.");
expect(result[0].tool_calls).toHaveLength(1);
expect(result[0].tool_calls[0]).toEqual({
id: 'search_1',
name: 'search',
args: { query: 'weather in New York' },
});
// Check first ToolMessage
expect(result[1].tool_call_id).toBe('search_1');
expect(result[1].name).toBe('search');
expect(result[1].content).toBe(
'The weather in New York is currently sunny with a temperature of 75°F.',
);
// Check second AIMessage
expect(result[2].content).toBe("Now, I'll convert the temperature.");
expect(result[2].tool_calls).toHaveLength(1);
expect(result[2].tool_calls[0]).toEqual({
id: 'convert_1',
name: 'convert_temperature',
args: { temperature: 75, from: 'F', to: 'C' },
});
// Check second ToolMessage
expect(result[3].tool_call_id).toBe('convert_1');
expect(result[3].name).toBe('convert_temperature');
expect(result[3].content).toBe('23.89°C');
// Check final AIMessage
expect(result[4].content).toStrictEqual([
{ [ContentTypes.TEXT]: "Here's your answer.", type: ContentTypes.TEXT },
]);
});
it.skip('should not produce two consecutive assistant messages and format content correctly', () => {
const payload = [
{ role: 'user', content: 'Hello' },
{
role: 'assistant',
content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hi there!' }],
},
{
role: 'assistant',
content: [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'How can I help you?' }],
},
{ role: 'user', content: "What's the weather?" },
{
role: 'assistant',
content: [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: 'Let me check that for you.',
tool_call_ids: ['weather_1'],
},
{
type: ContentTypes.TOOL_CALL,
tool_call: {
id: 'weather_1',
name: 'check_weather',
args: '{"location":"New York"}',
output: 'Sunny, 75°F',
},
},
],
},
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: "Here's the weather information." },
],
},
];
const result = formatAgentMessages(payload);
// Check correct message count and types
expect(result).toHaveLength(6);
expect(result[0]).toBeInstanceOf(HumanMessage);
expect(result[1]).toBeInstanceOf(AIMessage);
expect(result[2]).toBeInstanceOf(HumanMessage);
expect(result[3]).toBeInstanceOf(AIMessage);
expect(result[4]).toBeInstanceOf(ToolMessage);
expect(result[5]).toBeInstanceOf(AIMessage);
// Check content of messages
expect(result[0].content).toStrictEqual([
{ [ContentTypes.TEXT]: 'Hello', type: ContentTypes.TEXT },
]);
expect(result[1].content).toStrictEqual([
{ [ContentTypes.TEXT]: 'Hi there!', type: ContentTypes.TEXT },
{ [ContentTypes.TEXT]: 'How can I help you?', type: ContentTypes.TEXT },
]);
expect(result[2].content).toStrictEqual([
{ [ContentTypes.TEXT]: "What's the weather?", type: ContentTypes.TEXT },
]);
expect(result[3].content).toBe('Let me check that for you.');
expect(result[4].content).toBe('Sunny, 75°F');
expect(result[5].content).toStrictEqual([
{ [ContentTypes.TEXT]: "Here's the weather information.", type: ContentTypes.TEXT },
]);
// Check that there are no consecutive AIMessages
const messageTypes = result.map((message) => message.constructor);
for (let i = 0; i < messageTypes.length - 1; i++) {
expect(messageTypes[i] === AIMessage && messageTypes[i + 1] === AIMessage).toBe(false);
}
// Additional check to ensure the consecutive assistant messages were combined
expect(result[1].content).toHaveLength(2);
});
it('should skip THINK type content parts', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Initial response' },
{ type: ContentTypes.THINK, [ContentTypes.THINK]: 'Reasoning about the problem...' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[0].content).toEqual('Initial response\nFinal answer');
});
it('should join TEXT content as string when THINK content type is present', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.THINK, [ContentTypes.THINK]: 'Analyzing the problem...' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'First part of response' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Second part of response' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final part of response' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(typeof result[0].content).toBe('string');
expect(result[0].content).toBe(
'First part of response\nSecond part of response\nFinal part of response',
);
expect(result[0].content).not.toContain('Analyzing the problem...');
});
it('should exclude ERROR type content parts', () => {
const payload = [
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
{
type: ContentTypes.ERROR,
[ContentTypes.ERROR]:
'An error occurred while processing the request: Something went wrong',
},
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
],
},
];
const result = formatAgentMessages(payload);
expect(result).toHaveLength(1);
expect(result[0]).toBeInstanceOf(AIMessage);
expect(result[0].content).toEqual([
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Hello there' },
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'Final answer' },
]);
// Make sure no error content exists in the result
const hasErrorContent = result[0].content.some(
(item) =>
item.type === ContentTypes.ERROR || JSON.stringify(item).includes('An error occurred'),
);
expect(hasErrorContent).toBe(false);
});
describe('Vertex Gemini thoughtSignatures persistence (issue #13006 follow-up)', () => {
const SIG_A = 'AY89a1/sigA==';
const SIG_B = 'AY89a1/sigB==';
it('restores additional_kwargs.signatures onto the AIMessage that owns the tool_call', () => {
const payload = [
{ role: 'user', content: 'list files' },
{
role: 'assistant',
metadata: { thoughtSignatures: { t1: SIG_A } },
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: '', tool_call_ids: ['t1'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't1', name: 'bash', args: '{}', output: 'ok' },
},
],
},
];
const result = formatAgentMessages(payload);
const assistant = result.find((m) => m instanceof AIMessage);
expect(assistant.tool_calls).toHaveLength(1);
expect(assistant.additional_kwargs?.signatures).toEqual([SIG_A]);
});
it('attaches signatures per-step in multi-step tool turns (codex review fix)', () => {
// Reproduces the Codex P1 concern: an assistant turn where the agent
// loop made two LLM cycles, each emitting its own tool_call. Each step
// must carry its OWN signature on resume — Vertex validates per-step,
// not per-turn.
const payload = [
{ role: 'user', content: 'do two things' },
{
role: 'assistant',
metadata: { thoughtSignatures: { t1: SIG_A, t2: SIG_B } },
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'first', tool_call_ids: ['t1'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't1', name: 'a', args: '{}', output: 'okA' },
},
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: 'second', tool_call_ids: ['t2'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't2', name: 'b', args: '{}', output: 'okB' },
},
],
},
];
const result = formatAgentMessages(payload);
const aiMessages = result.filter((m) => m instanceof AIMessage);
expect(aiMessages).toHaveLength(2);
expect(aiMessages[0].tool_calls).toHaveLength(1);
expect(aiMessages[0].additional_kwargs?.signatures).toEqual([SIG_A]);
expect(aiMessages[1].tool_calls).toHaveLength(1);
expect(aiMessages[1].additional_kwargs?.signatures).toEqual([SIG_B]);
});
it('preserves tool_call ordering when signatures are partial', () => {
// Mixed case: only some tool_calls have stored signatures. Position-
// aligned array (with empty placeholders) lets the agents-side
// dispatcher attach the correct signature to the correct functionCall.
const payload = [
{ role: 'user', content: 'two parallel tools' },
{
role: 'assistant',
metadata: { thoughtSignatures: { t2: SIG_B } },
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: '', tool_call_ids: ['t1', 't2'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't1', name: 'a', args: '{}', output: 'okA' },
},
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't2', name: 'b', args: '{}', output: 'okB' },
},
],
},
];
const result = formatAgentMessages(payload);
const assistant = result.find((m) => m instanceof AIMessage);
expect(assistant.additional_kwargs?.signatures).toEqual(['', SIG_B]);
});
it('no-op when metadata.thoughtSignatures is absent', () => {
const payload = [
{ role: 'user', content: 'hi' },
{
role: 'assistant',
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: '', tool_call_ids: ['t1'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't1', name: 'bash', args: '{}', output: 'ok' },
},
],
},
];
const result = formatAgentMessages(payload);
const assistant = result.find((m) => m instanceof AIMessage);
expect(assistant.additional_kwargs?.signatures).toBeUndefined();
});
it('no-op when assistant message has no tool_calls', () => {
const payload = [
{ role: 'user', content: 'hi' },
{
role: 'assistant',
metadata: { thoughtSignatures: { t1: SIG_A } },
content: 'plain text reply',
},
];
const result = formatAgentMessages(payload);
const assistant = result.find((m) => m instanceof AIMessage);
expect(assistant.additional_kwargs?.signatures).toBeUndefined();
});
it('no-op when no tool_call has a corresponding stored signature', () => {
// The persisted map exists but addresses different tool_call_ids
// (e.g., the previous turn's signatures, somehow leaked). Don't
// fabricate empty arrays onto the AIMessage.
const payload = [
{ role: 'user', content: 'hi' },
{
role: 'assistant',
metadata: { thoughtSignatures: { unrelated_id: SIG_A } },
content: [
{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: '', tool_call_ids: ['t1'] },
{
type: ContentTypes.TOOL_CALL,
tool_call: { id: 't1', name: 'bash', args: '{}', output: 'ok' },
},
],
},
];
const result = formatAgentMessages(payload);
const assistant = result.find((m) => m instanceof AIMessage);
expect(assistant.additional_kwargs?.signatures).toBeUndefined();
});
});
});
@@ -0,0 +1,42 @@
/**
* Formats an object to match the struct_val, list_val, string_val, float_val, and int_val format.
*
* @param {Object} obj - The object to be formatted.
* @returns {Object} The formatted object.
*
* Handles different types:
* - Arrays are wrapped in list_val and each element is processed.
* - Objects are recursively processed.
* - Strings are wrapped in string_val.
* - Numbers are wrapped in float_val or int_val depending on whether they are floating-point or integers.
*/
function formatGoogleInputs(obj) {
const formattedObj = {};
for (const key in obj) {
if (Object.prototype.hasOwnProperty.call(obj, key)) {
const value = obj[key];
// Handle arrays
if (Array.isArray(value)) {
formattedObj[key] = { list_val: value.map((item) => formatGoogleInputs(item)) };
}
// Handle objects
else if (typeof value === 'object' && value !== null) {
formattedObj[key] = formatGoogleInputs(value);
}
// Handle numbers
else if (typeof value === 'number') {
formattedObj[key] = Number.isInteger(value) ? { int_val: value } : { float_val: value };
}
// Handle other types (e.g., strings)
else {
formattedObj[key] = { string_val: [value] };
}
}
}
return { struct_val: formattedObj };
}
module.exports = formatGoogleInputs;
@@ -0,0 +1,274 @@
const formatGoogleInputs = require('./formatGoogleInputs');
describe('formatGoogleInputs', () => {
it('formats message correctly', () => {
const input = {
messages: [
{
content: 'hi',
author: 'user',
},
],
context: 'context',
examples: [
{
input: {
author: 'user',
content: 'user input',
},
output: {
author: 'bot',
content: 'bot output',
},
},
],
parameters: {
temperature: 0.2,
topP: 0.8,
topK: 40,
maxOutputTokens: 1024,
},
};
const expectedOutput = {
struct_val: {
messages: {
list_val: [
{
struct_val: {
content: {
string_val: ['hi'],
},
author: {
string_val: ['user'],
},
},
},
],
},
context: {
string_val: ['context'],
},
examples: {
list_val: [
{
struct_val: {
input: {
struct_val: {
author: {
string_val: ['user'],
},
content: {
string_val: ['user input'],
},
},
},
output: {
struct_val: {
author: {
string_val: ['bot'],
},
content: {
string_val: ['bot output'],
},
},
},
},
},
],
},
parameters: {
struct_val: {
temperature: {
float_val: 0.2,
},
topP: {
float_val: 0.8,
},
topK: {
int_val: 40,
},
maxOutputTokens: {
int_val: 1024,
},
},
},
},
};
const result = formatGoogleInputs(input);
expect(JSON.stringify(result)).toEqual(JSON.stringify(expectedOutput));
});
it('formats real payload parts', () => {
const input = {
instances: [
{
context: 'context',
examples: [
{
input: {
author: 'user',
content: 'user input',
},
output: {
author: 'bot',
content: 'user output',
},
},
],
messages: [
{
author: 'user',
content: 'hi',
},
],
},
],
parameters: {
candidateCount: 1,
maxOutputTokens: 1024,
temperature: 0.2,
topP: 0.8,
topK: 40,
},
};
const expectedOutput = {
struct_val: {
instances: {
list_val: [
{
struct_val: {
context: { string_val: ['context'] },
examples: {
list_val: [
{
struct_val: {
input: {
struct_val: {
author: { string_val: ['user'] },
content: { string_val: ['user input'] },
},
},
output: {
struct_val: {
author: { string_val: ['bot'] },
content: { string_val: ['user output'] },
},
},
},
},
],
},
messages: {
list_val: [
{
struct_val: {
author: { string_val: ['user'] },
content: { string_val: ['hi'] },
},
},
],
},
},
},
],
},
parameters: {
struct_val: {
candidateCount: { int_val: 1 },
maxOutputTokens: { int_val: 1024 },
temperature: { float_val: 0.2 },
topP: { float_val: 0.8 },
topK: { int_val: 40 },
},
},
},
};
const result = formatGoogleInputs(input);
expect(JSON.stringify(result)).toEqual(JSON.stringify(expectedOutput));
});
it('helps create valid payload parts', () => {
const instances = {
context: 'context',
examples: [
{
input: {
author: 'user',
content: 'user input',
},
output: {
author: 'bot',
content: 'user output',
},
},
],
messages: [
{
author: 'user',
content: 'hi',
},
],
};
const expectedInstances = {
struct_val: {
context: { string_val: ['context'] },
examples: {
list_val: [
{
struct_val: {
input: {
struct_val: {
author: { string_val: ['user'] },
content: { string_val: ['user input'] },
},
},
output: {
struct_val: {
author: { string_val: ['bot'] },
content: { string_val: ['user output'] },
},
},
},
},
],
},
messages: {
list_val: [
{
struct_val: {
author: { string_val: ['user'] },
content: { string_val: ['hi'] },
},
},
],
},
},
};
const parameters = {
candidateCount: 1,
maxOutputTokens: 1024,
temperature: 0.2,
topP: 0.8,
topK: 40,
};
const expectedParameters = {
struct_val: {
candidateCount: { int_val: 1 },
maxOutputTokens: { int_val: 1024 },
temperature: { float_val: 0.2 },
topP: { float_val: 0.8 },
topK: { int_val: 40 },
},
};
const instancesResult = formatGoogleInputs(instances);
const parametersResult = formatGoogleInputs(parameters);
expect(JSON.stringify(instancesResult)).toEqual(JSON.stringify(expectedInstances));
expect(JSON.stringify(parametersResult)).toEqual(JSON.stringify(expectedParameters));
});
});
+283
View File
@@ -0,0 +1,283 @@
const { EModelEndpoint, ContentTypes } = require('librechat-data-provider');
const {
AIMessage,
ToolMessage,
HumanMessage,
SystemMessage,
} = require('@librechat/agents/langchain/messages');
/**
* Formats a message to OpenAI Vision API payload format.
*
* @param {Object} params - The parameters for formatting.
* @param {Object} params.message - The message object to format.
* @param {string} [params.message.role] - The role of the message sender (must be 'user').
* @param {string} [params.message.content] - The text content of the message.
* @param {EModelEndpoint} [params.endpoint] - Identifier for specific endpoint handling
* @param {Array<string>} [params.image_urls] - The image_urls to attach to the message.
* @returns {(Object)} - The formatted message.
*/
const formatVisionMessage = ({ message, image_urls, endpoint }) => {
if (endpoint === EModelEndpoint.anthropic) {
message.content = [...image_urls, { type: ContentTypes.TEXT, text: message.content }];
return message;
}
message.content = [{ type: ContentTypes.TEXT, text: message.content }, ...image_urls];
return message;
};
/**
* Formats a message to OpenAI payload format based on the provided options.
*
* @param {Object} params - The parameters for formatting.
* @param {Object} params.message - The message object to format.
* @param {string} [params.message.role] - The role of the message sender (e.g., 'user', 'assistant').
* @param {string} [params.message._name] - The name associated with the message.
* @param {string} [params.message.sender] - The sender of the message.
* @param {string} [params.message.text] - The text content of the message.
* @param {string} [params.message.content] - The content of the message.
* @param {Array<string>} [params.message.image_urls] - The image_urls attached to the message for Vision API.
* @param {string} [params.userName] - The name of the user.
* @param {string} [params.assistantName] - The name of the assistant.
* @param {string} [params.endpoint] - Identifier for specific endpoint handling
* @param {boolean} [params.langChain=false] - Whether to return a LangChain message object.
* @returns {(Object|HumanMessage|AIMessage|SystemMessage)} - The formatted message.
*/
const formatMessage = ({ message, userName, assistantName, endpoint, langChain = false }) => {
let { role: _role, _name, sender, text, content: _content, lc_id } = message;
if (lc_id && lc_id[2] && !langChain) {
const roleMapping = {
SystemMessage: 'system',
HumanMessage: 'user',
AIMessage: 'assistant',
};
_role = roleMapping[lc_id[2]];
}
const role = _role ?? (sender && sender?.toLowerCase() === 'user' ? 'user' : 'assistant');
const content = _content ?? text ?? '';
const formattedMessage = {
role,
content,
};
const { image_urls } = message;
if (Array.isArray(image_urls) && image_urls.length > 0 && role === 'user') {
return formatVisionMessage({
message: formattedMessage,
image_urls: message.image_urls,
endpoint,
});
}
if (_name) {
formattedMessage.name = _name;
}
if (userName && formattedMessage.role === 'user') {
formattedMessage.name = userName;
}
if (assistantName && formattedMessage.role === 'assistant') {
formattedMessage.name = assistantName;
}
if (formattedMessage.name) {
// Conform to API regex: ^[a-zA-Z0-9_-]{1,64}$
// https://community.openai.com/t/the-format-of-the-name-field-in-the-documentation-is-incorrect/175684/2
formattedMessage.name = formattedMessage.name.replace(/[^a-zA-Z0-9_-]/g, '_');
if (formattedMessage.name.length > 64) {
formattedMessage.name = formattedMessage.name.substring(0, 64);
}
}
if (!langChain) {
return formattedMessage;
}
if (role === 'user') {
return new HumanMessage(formattedMessage);
} else if (role === 'assistant') {
return new AIMessage(formattedMessage);
} else {
return new SystemMessage(formattedMessage);
}
};
/**
* Formats an array of messages for LangChain.
*
* @param {Array<Object>} messages - The array of messages to format.
* @param {Object} formatOptions - The options for formatting each message.
* @param {string} [formatOptions.userName] - The name of the user.
* @param {string} [formatOptions.assistantName] - The name of the assistant.
* @returns {Array<(HumanMessage|AIMessage|SystemMessage)>} - The array of formatted LangChain messages.
*/
const formatLangChainMessages = (messages, formatOptions) =>
messages.map((msg) => formatMessage({ ...formatOptions, message: msg, langChain: true }));
/**
* Formats a LangChain message object by merging properties from `lc_kwargs` or `kwargs` and `additional_kwargs`.
*
* @param {Object} message - The message object to format.
* @param {Object} [message.lc_kwargs] - Contains properties to be merged. Either this or `message.kwargs` should be provided.
* @param {Object} [message.kwargs] - Contains properties to be merged. Either this or `message.lc_kwargs` should be provided.
* @param {Object} [message.kwargs.additional_kwargs] - Additional properties to be merged.
*
* @returns {Object} The formatted LangChain message.
*/
const formatFromLangChain = (message) => {
const { additional_kwargs, ...message_kwargs } = message.lc_kwargs ?? message.kwargs;
return {
...message_kwargs,
...additional_kwargs,
};
};
/**
* Formats an array of messages for LangChain, handling tool calls and creating ToolMessage instances.
*
* @param {Array<Partial<TMessage>>} payload - The array of messages to format.
* @returns {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} - The array of formatted LangChain messages, including ToolMessages for tool calls.
*/
const formatAgentMessages = (payload) => {
const messages = [];
for (const message of payload) {
if (typeof message.content === 'string') {
message.content = [{ type: ContentTypes.TEXT, [ContentTypes.TEXT]: message.content }];
}
if (message.role !== 'assistant') {
messages.push(formatMessage({ message, langChain: true }));
continue;
}
let currentContent = [];
let lastAIMessage = null;
/**
* Every AIMessage produced from this TMessage that received `tool_calls`,
* in order. Multi-step tool turns (where the agent loop cycles the LLM
* multiple times with intervening tool results) produce one AIMessage per
* cycle, each owning a different `tool_call_id`. We attach persisted
* Vertex Gemini 3 thought signatures (`metadata.thoughtSignatures`,
* keyed by `tool_call_id`) onto each one so every step has its right
* signature on resume — Vertex validates per-step, not per-turn
* (issue #13006 follow-up).
*/
const toolBearingAIMessages = [];
let hasReasoning = false;
for (const part of message.content) {
if (part.type === ContentTypes.TEXT && part.tool_call_ids) {
/*
If there's pending content, it needs to be aggregated as a single string to prepare for tool calls.
For Anthropic models, the "tool_calls" field on a message is only respected if content is a string.
*/
if (currentContent.length > 0) {
let content = currentContent.reduce((acc, curr) => {
if (curr.type === ContentTypes.TEXT) {
return `${acc}${curr[ContentTypes.TEXT]}\n`;
}
return acc;
}, '');
content = `${content}\n${part[ContentTypes.TEXT] ?? ''}`.trim();
lastAIMessage = new AIMessage({ content });
messages.push(lastAIMessage);
currentContent = [];
continue;
}
// Create a new AIMessage with this text and prepare for tool calls
lastAIMessage = new AIMessage({
content: part.text || '',
});
messages.push(lastAIMessage);
} else if (part.type === ContentTypes.TOOL_CALL) {
if (!lastAIMessage) {
throw new Error('Invalid tool call structure: No preceding AIMessage with tool_call_ids');
}
// Note: `tool_calls` list is defined when constructed by `AIMessage` class, and outputs should be excluded from it
const { output, args: _args, ...tool_call } = part.tool_call;
// TODO: investigate; args as dictionary may need to be provider-or-tool-specific
let args = _args;
try {
args = JSON.parse(_args);
} catch (_e) {
if (typeof _args === 'string') {
args = { input: _args };
}
}
tool_call.args = args;
lastAIMessage.tool_calls.push(tool_call);
if (toolBearingAIMessages[toolBearingAIMessages.length - 1] !== lastAIMessage) {
toolBearingAIMessages.push(lastAIMessage);
}
// Add the corresponding ToolMessage
messages.push(
new ToolMessage({
tool_call_id: tool_call.id,
name: tool_call.name,
content: output || '',
}),
);
} else if (part.type === ContentTypes.THINK) {
hasReasoning = true;
continue;
} else if (part.type === ContentTypes.ERROR || part.type === ContentTypes.AGENT_UPDATE) {
continue;
} else {
currentContent.push(part);
}
}
if (hasReasoning) {
currentContent = currentContent
.reduce((acc, curr) => {
if (curr.type === ContentTypes.TEXT) {
return `${acc}${curr[ContentTypes.TEXT]}\n`;
}
return acc;
}, '')
.trim();
}
if (currentContent.length > 0) {
messages.push(new AIMessage({ content: currentContent }));
}
/**
* Restore signatures per-step. The persisted shape is
* `{ [tool_call_id]: signature }`; for each tool-bearing AIMessage we
* build a position-aligned `additional_kwargs.signatures` array (empty
* placeholders for tool_calls without a stored signature). Agents'
* `fixThoughtSignatures` then dispatches the non-empty entries to
* functionCall parts in order — order matches because non-empty
* signatures and tool_calls share their original parts ordering.
*/
const sigsByCallId = message.metadata?.thoughtSignatures;
if (sigsByCallId && typeof sigsByCallId === 'object' && toolBearingAIMessages.length > 0) {
for (const aiMsg of toolBearingAIMessages) {
const sigs = aiMsg.tool_calls.map((tc) => sigsByCallId[tc.id] ?? '');
if (sigs.some((s) => typeof s === 'string' && s.length > 0)) {
aiMsg.additional_kwargs ??= {};
aiMsg.additional_kwargs.signatures = sigs;
}
}
}
}
return messages;
};
module.exports = {
formatMessage,
formatFromLangChain,
formatAgentMessages,
formatLangChainMessages,
};
@@ -0,0 +1,276 @@
const { Constants } = require('librechat-data-provider');
const { HumanMessage, AIMessage, SystemMessage } = require('@librechat/agents/langchain/messages');
const { formatMessage, formatLangChainMessages, formatFromLangChain } = require('./formatMessages');
describe('formatMessage', () => {
it('formats user message', () => {
const input = {
message: {
sender: 'user',
text: 'Hello',
},
userName: 'John',
};
const result = formatMessage(input);
expect(result).toEqual({
role: 'user',
content: 'Hello',
name: 'John',
});
});
it('sanitizes the name by replacing invalid characters (per OpenAI)', () => {
const input = {
message: {
sender: 'user',
text: 'Hello',
},
userName: ' John$Doe@Example! ',
};
const result = formatMessage(input);
expect(result).toEqual({
role: 'user',
content: 'Hello',
name: '_John_Doe_Example__',
});
});
it('trims the name to a maximum length of 64 characters', () => {
const longName = 'a'.repeat(100);
const input = {
message: {
sender: 'user',
text: 'Hello',
},
userName: longName,
};
const result = formatMessage(input);
expect(result.name.length).toBe(64);
expect(result.name).toBe('a'.repeat(64));
});
it('formats a realistic user message', () => {
const input = {
message: {
_id: '6512cdfb92cbf69fea615331',
messageId: 'b620bf73-c5c3-4a38-b724-76886aac24c4',
__v: 0,
conversationId: '5c23d24f-941f-4aab-85df-127b596c8aa5',
createdAt: Date.now(),
error: false,
finish_reason: null,
isCreatedByUser: true,
model: null,
parentMessageId: Constants.NO_PARENT,
sender: 'User',
text: 'hi',
tokenCount: 5,
unfinished: false,
updatedAt: Date.now(),
user: '6512cdf475f05c86d44c31d2',
},
userName: 'John',
};
const result = formatMessage(input);
expect(result).toEqual({
role: 'user',
content: 'hi',
name: 'John',
});
});
it('formats assistant message', () => {
const input = {
message: {
sender: 'assistant',
text: 'Hi there',
},
assistantName: 'Assistant',
};
const result = formatMessage(input);
expect(result).toEqual({
role: 'assistant',
content: 'Hi there',
name: 'Assistant',
});
});
it('formats system message', () => {
const input = {
message: {
role: 'system',
text: 'Hi there',
},
};
const result = formatMessage(input);
expect(result).toEqual({
role: 'system',
content: 'Hi there',
});
});
it('formats user message with langChain', () => {
const input = {
message: {
sender: 'user',
text: 'Hello',
},
userName: 'John',
langChain: true,
};
const result = formatMessage(input);
expect(result).toBeInstanceOf(HumanMessage);
expect(result.lc_kwargs.content).toEqual(input.message.text);
expect(result.lc_kwargs.name).toEqual(input.userName);
});
it('formats assistant message with langChain', () => {
const input = {
message: {
sender: 'assistant',
text: 'Hi there',
},
assistantName: 'Assistant',
langChain: true,
};
const result = formatMessage(input);
expect(result).toBeInstanceOf(AIMessage);
expect(result.lc_kwargs.content).toEqual(input.message.text);
expect(result.lc_kwargs.name).toEqual(input.assistantName);
});
it('formats system message with langChain', () => {
const input = {
message: {
role: 'system',
text: 'This is a system message.',
},
langChain: true,
};
const result = formatMessage(input);
expect(result).toBeInstanceOf(SystemMessage);
expect(result.lc_kwargs.content).toEqual(input.message.text);
});
it('formats langChain messages into OpenAI payload format', () => {
const human = {
message: new HumanMessage({
content: 'Hello',
}),
};
const system = {
message: new SystemMessage({
content: 'Hello',
}),
};
const ai = {
message: new AIMessage({
content: 'Hello',
}),
};
const humanResult = formatMessage(human);
const systemResult = formatMessage(system);
const aiResult = formatMessage(ai);
expect(humanResult).toEqual({
role: 'user',
content: 'Hello',
});
expect(systemResult).toEqual({
role: 'system',
content: 'Hello',
});
expect(aiResult).toEqual({
role: 'assistant',
content: 'Hello',
});
});
});
describe('formatLangChainMessages', () => {
it('formats an array of messages for LangChain', () => {
const messages = [
{
role: 'system',
content: 'This is a system message',
},
{
sender: 'user',
text: 'Hello',
},
{
sender: 'assistant',
text: 'Hi there',
},
];
const formatOptions = {
userName: 'John',
assistantName: 'Assistant',
};
const result = formatLangChainMessages(messages, formatOptions);
expect(result).toHaveLength(3);
expect(result[0]).toBeInstanceOf(SystemMessage);
expect(result[1]).toBeInstanceOf(HumanMessage);
expect(result[2]).toBeInstanceOf(AIMessage);
expect(result[0].lc_kwargs.content).toEqual(messages[0].content);
expect(result[1].lc_kwargs.content).toEqual(messages[1].text);
expect(result[2].lc_kwargs.content).toEqual(messages[2].text);
expect(result[1].lc_kwargs.name).toEqual(formatOptions.userName);
expect(result[2].lc_kwargs.name).toEqual(formatOptions.assistantName);
});
describe('formatFromLangChain', () => {
it('should merge kwargs and additional_kwargs', () => {
const message = {
kwargs: {
content: 'some content',
name: 'dan',
additional_kwargs: {
function_call: {
name: 'dall-e',
arguments: '{\n "input": "Subject: hedgehog, Style: cute"\n}',
},
},
},
};
const expected = {
content: 'some content',
name: 'dan',
function_call: {
name: 'dall-e',
arguments: '{\n "input": "Subject: hedgehog, Style: cute"\n}',
},
};
expect(formatFromLangChain(message)).toEqual(expected);
});
it('should handle messages without additional_kwargs', () => {
const message = {
kwargs: {
content: 'some content',
name: 'dan',
},
};
const expected = {
content: 'some content',
name: 'dan',
};
expect(formatFromLangChain(message)).toEqual(expected);
});
it('should handle empty messages', () => {
const message = {
kwargs: {},
};
const expected = {};
expect(formatFromLangChain(message)).toEqual(expected);
});
});
});
+13
View File
@@ -0,0 +1,13 @@
const formatMessages = require('./formatMessages');
const summaryPrompts = require('./summaryPrompts');
const truncate = require('./truncate');
const createVisionPrompt = require('./createVisionPrompt');
const createContextHandlers = require('./createContextHandlers');
module.exports = {
...formatMessages,
...summaryPrompts,
...truncate,
createVisionPrompt,
createContextHandlers,
};
@@ -0,0 +1,495 @@
// Essential Components
const essentialComponents = {
avatar: {
componentName: 'Avatar',
importDocs: 'import { Avatar, AvatarFallback, AvatarImage } from "/components/ui/avatar"',
usageDocs: `
<Avatar>
<AvatarImage src="https://github.com/shadcn.png" />
<AvatarFallback>CN</AvatarFallback>
</Avatar>`,
},
button: {
componentName: 'Button',
importDocs: 'import { Button } from "/components/ui/button"',
usageDocs: `
<Button variant="outline">Button</Button>`,
},
card: {
componentName: 'Card',
importDocs: `
import {
Card,
CardContent,
CardDescription,
CardFooter,
CardHeader,
CardTitle,
} from "/components/ui/card"`,
usageDocs: `
<Card>
<CardHeader>
<CardTitle>Card Title</CardTitle>
<CardDescription>Card Description</CardDescription>
</CardHeader>
<CardContent>
<p>Card Content</p>
</CardContent>
<CardFooter>
<p>Card Footer</p>
</CardFooter>
</Card>`,
},
checkbox: {
componentName: 'Checkbox',
importDocs: 'import { Checkbox } from "/components/ui/checkbox"',
usageDocs: '<Checkbox />',
},
input: {
componentName: 'Input',
importDocs: 'import { Input } from "/components/ui/input"',
usageDocs: '<Input />',
},
label: {
componentName: 'Label',
importDocs: 'import { Label } from "/components/ui/label"',
usageDocs: '<Label htmlFor="email">Your email address</Label>',
},
radioGroup: {
componentName: 'RadioGroup',
importDocs: `
import { Label } from "/components/ui/label"
import { RadioGroup, RadioGroupItem } from "/components/ui/radio-group"`,
usageDocs: `
<RadioGroup defaultValue="option-one">
<div className="flex items-center space-x-2">
<RadioGroupItem value="option-one" id="option-one" />
<Label htmlFor="option-one">Option One</Label>
</div>
<div className="flex items-center space-x-2">
<RadioGroupItem value="option-two" id="option-two" />
<Label htmlFor="option-two">Option Two</Label>
</div>
</RadioGroup>`,
},
select: {
componentName: 'Select',
importDocs: `
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "/components/ui/select"`,
usageDocs: `
<Select>
<SelectTrigger className="w-[180px]">
<SelectValue placeholder="Theme" />
</SelectTrigger>
<SelectContent>
<SelectItem value="light">Light</SelectItem>
<SelectItem value="dark">Dark</SelectItem>
<SelectItem value="system">System</SelectItem>
</SelectContent>
</Select>`,
},
textarea: {
componentName: 'Textarea',
importDocs: 'import { Textarea } from "/components/ui/textarea"',
usageDocs: '<Textarea />',
},
};
// Extra Components
const extraComponents = {
accordion: {
componentName: 'Accordion',
importDocs: `
import {
Accordion,
AccordionContent,
AccordionItem,
AccordionTrigger,
} from "/components/ui/accordion"`,
usageDocs: `
<Accordion type="single" collapsible>
<AccordionItem value="item-1">
<AccordionTrigger>Is it accessible?</AccordionTrigger>
<AccordionContent>
Yes. It adheres to the WAI-ARIA design pattern.
</AccordionContent>
</AccordionItem>
</Accordion>`,
},
alertDialog: {
componentName: 'AlertDialog',
importDocs: `
import {
AlertDialog,
AlertDialogAction,
AlertDialogCancel,
AlertDialogContent,
AlertDialogDescription,
AlertDialogFooter,
AlertDialogHeader,
AlertDialogTitle,
AlertDialogTrigger,
} from "/components/ui/alert-dialog"`,
usageDocs: `
<AlertDialog>
<AlertDialogTrigger>Open</AlertDialogTrigger>
<AlertDialogContent>
<AlertDialogHeader>
<AlertDialogTitle>Are you absolutely sure?</AlertDialogTitle>
<AlertDialogDescription>
This action cannot be undone.
</AlertDialogDescription>
</AlertDialogHeader>
<AlertDialogFooter>
<AlertDialogCancel>Cancel</AlertDialogCancel>
<AlertDialogAction>Continue</AlertDialogAction>
</AlertDialogFooter>
</AlertDialogContent>
</AlertDialog>`,
},
alert: {
componentName: 'Alert',
importDocs: `
import {
Alert,
AlertDescription,
AlertTitle,
} from "/components/ui/alert"`,
usageDocs: `
<Alert>
<AlertTitle>Heads up!</AlertTitle>
<AlertDescription>
You can add components to your app using the cli.
</AlertDescription>
</Alert>`,
},
aspectRatio: {
componentName: 'AspectRatio',
importDocs: 'import { AspectRatio } from "/components/ui/aspect-ratio"',
usageDocs: `
<AspectRatio ratio={16 / 9}>
<Image src="..." alt="Image" className="rounded-md object-cover" />
</AspectRatio>`,
},
badge: {
componentName: 'Badge',
importDocs: 'import { Badge } from "/components/ui/badge"',
usageDocs: '<Badge>Badge</Badge>',
},
calendar: {
componentName: 'Calendar',
importDocs: 'import { Calendar } from "/components/ui/calendar"',
usageDocs: '<Calendar />',
},
carousel: {
componentName: 'Carousel',
importDocs: `
import {
Carousel,
CarouselContent,
CarouselItem,
CarouselNext,
CarouselPrevious,
} from "/components/ui/carousel"`,
usageDocs: `
<Carousel>
<CarouselContent>
<CarouselItem>...</CarouselItem>
<CarouselItem>...</CarouselItem>
<CarouselItem>...</CarouselItem>
</CarouselContent>
<CarouselPrevious />
<CarouselNext />
</Carousel>`,
},
collapsible: {
componentName: 'Collapsible',
importDocs: `
import {
Collapsible,
CollapsibleContent,
CollapsibleTrigger,
} from "/components/ui/collapsible"`,
usageDocs: `
<Collapsible>
<CollapsibleTrigger>Can I use this in my project?</CollapsibleTrigger>
<CollapsibleContent>
Yes. Free to use for personal and commercial projects. No attribution required.
</CollapsibleContent>
</Collapsible>`,
},
dialog: {
componentName: 'Dialog',
importDocs: `
import {
Dialog,
DialogContent,
DialogDescription,
DialogHeader,
DialogTitle,
DialogTrigger,
} from "/components/ui/dialog"`,
usageDocs: `
<Dialog>
<DialogTrigger>Open</DialogTrigger>
<DialogContent>
<DialogHeader>
<DialogTitle>Are you sure absolutely sure?</DialogTitle>
<DialogDescription>
This action cannot be undone.
</DialogDescription>
</DialogHeader>
</DialogContent>
</Dialog>`,
},
dropdownMenu: {
componentName: 'DropdownMenu',
importDocs: `
import {
DropdownMenu,
DropdownMenuContent,
DropdownMenuItem,
DropdownMenuLabel,
DropdownMenuSeparator,
DropdownMenuTrigger,
} from "/components/ui/dropdown-menu"`,
usageDocs: `
<DropdownMenu>
<DropdownMenuTrigger>Open</DropdownMenuTrigger>
<DropdownMenuContent>
<DropdownMenuLabel>My Account</DropdownMenuLabel>
<DropdownMenuSeparator />
<DropdownMenuItem>Profile</DropdownMenuItem>
<DropdownMenuItem>Billing</DropdownMenuItem>
<DropdownMenuItem>Team</DropdownMenuItem>
<DropdownMenuItem>Subscription</DropdownMenuItem>
</DropdownMenuContent>
</DropdownMenu>`,
},
menubar: {
componentName: 'Menubar',
importDocs: `
import {
Menubar,
MenubarContent,
MenubarItem,
MenubarMenu,
MenubarSeparator,
MenubarShortcut,
MenubarTrigger,
} from "/components/ui/menubar"`,
usageDocs: `
<Menubar>
<MenubarMenu>
<MenubarTrigger>File</MenubarTrigger>
<MenubarContent>
<MenubarItem>
New Tab <MenubarShortcut>⌘T</MenubarShortcut>
</MenubarItem>
<MenubarItem>New Window</MenubarItem>
<MenubarSeparator />
<MenubarItem>Share</MenubarItem>
<MenubarSeparator />
<MenubarItem>Print</MenubarItem>
</MenubarContent>
</MenubarMenu>
</Menubar>`,
},
navigationMenu: {
componentName: 'NavigationMenu',
importDocs: `
import {
NavigationMenu,
NavigationMenuContent,
NavigationMenuItem,
NavigationMenuLink,
NavigationMenuList,
NavigationMenuTrigger,
navigationMenuTriggerStyle,
} from "/components/ui/navigation-menu"`,
usageDocs: `
<NavigationMenu>
<NavigationMenuList>
<NavigationMenuItem>
<NavigationMenuTrigger>Item One</NavigationMenuTrigger>
<NavigationMenuContent>
<NavigationMenuLink>Link</NavigationMenuLink>
</NavigationMenuContent>
</NavigationMenuItem>
</NavigationMenuList>
</NavigationMenu>`,
},
popover: {
componentName: 'Popover',
importDocs: `
import {
Popover,
PopoverContent,
PopoverTrigger,
} from "/components/ui/popover"`,
usageDocs: `
<Popover>
<PopoverTrigger>Open</PopoverTrigger>
<PopoverContent>Place content for the popover here.</PopoverContent>
</Popover>`,
},
progress: {
componentName: 'Progress',
importDocs: 'import { Progress } from "/components/ui/progress"',
usageDocs: '<Progress value={33} />',
},
separator: {
componentName: 'Separator',
importDocs: 'import { Separator } from "/components/ui/separator"',
usageDocs: '<Separator />',
},
sheet: {
componentName: 'Sheet',
importDocs: `
import {
Sheet,
SheetContent,
SheetDescription,
SheetHeader,
SheetTitle,
SheetTrigger,
} from "/components/ui/sheet"`,
usageDocs: `
<Sheet>
<SheetTrigger>Open</SheetTrigger>
<SheetContent>
<SheetHeader>
<SheetTitle>Are you sure absolutely sure?</SheetTitle>
<SheetDescription>
This action cannot be undone.
</SheetDescription>
</SheetHeader>
</SheetContent>
</Sheet>`,
},
skeleton: {
componentName: 'Skeleton',
importDocs: 'import { Skeleton } from "/components/ui/skeleton"',
usageDocs: '<Skeleton className="w-[100px] h-[20px] rounded-full" />',
},
slider: {
componentName: 'Slider',
importDocs: 'import { Slider } from "/components/ui/slider"',
usageDocs: '<Slider defaultValue={[33]} max={100} step={1} />',
},
switch: {
componentName: 'Switch',
importDocs: 'import { Switch } from "/components/ui/switch"',
usageDocs: '<Switch />',
},
table: {
componentName: 'Table',
importDocs: `
import {
Table,
TableBody,
TableCaption,
TableCell,
TableHead,
TableHeader,
TableRow,
} from "/components/ui/table"`,
usageDocs: `
<Table>
<TableCaption>A list of your recent invoices.</TableCaption>
<TableHeader>
<TableRow>
<TableHead className="w-[100px]">Invoice</TableHead>
<TableHead>Status</TableHead>
<TableHead>Method</TableHead>
<TableHead className="text-right">Amount</TableHead>
</TableRow>
</TableHeader>
<TableBody>
<TableRow>
<TableCell className="font-medium">INV001</TableCell>
<TableCell>Paid</TableCell>
<TableCell>Credit Card</TableCell>
<TableCell className="text-right">$250.00</TableCell>
</TableRow>
</TableBody>
</Table>`,
},
tabs: {
componentName: 'Tabs',
importDocs: `
import {
Tabs,
TabsContent,
TabsList,
TabsTrigger,
} from "/components/ui/tabs"`,
usageDocs: `
<Tabs defaultValue="account" className="w-[400px]">
<TabsList>
<TabsTrigger value="account">Account</TabsTrigger>
<TabsTrigger value="password">Password</TabsTrigger>
</TabsList>
<TabsContent value="account">Make changes to your account here.</TabsContent>
<TabsContent value="password">Change your password here.</TabsContent>
</Tabs>`,
},
toast: {
componentName: 'Toast',
importDocs: `
import { useToast } from "/components/ui/use-toast"
import { Button } from "/components/ui/button"`,
usageDocs: `
export function ToastDemo() {
const { toast } = useToast()
return (
<Button
onClick={() => {
toast({
title: "Scheduled: Catch up",
description: "Friday, February 10, 2023 at 5:57 PM",
})
}}
>
Show Toast
</Button>
)
}`,
},
toggle: {
componentName: 'Toggle',
importDocs: 'import { Toggle } from "/components/ui/toggle"',
usageDocs: '<Toggle>Toggle</Toggle>',
},
tooltip: {
componentName: 'Tooltip',
importDocs: `
import {
Tooltip,
TooltipContent,
TooltipProvider,
TooltipTrigger,
} from "/components/ui/tooltip"`,
usageDocs: `
<TooltipProvider>
<Tooltip>
<TooltipTrigger>Hover</TooltipTrigger>
<TooltipContent>
<p>Add to library</p>
</TooltipContent>
</Tooltip>
</TooltipProvider>`,
},
};
const components = Object.assign({}, essentialComponents, extraComponents);
module.exports = {
components,
};
@@ -0,0 +1,50 @@
const dedent = require('dedent');
/**
* Generate system prompt for AI-assisted React component creation
* @param {Object} options - Configuration options
* @param {Object} options.components - Documentation for shadcn components
* @param {boolean} [options.useXML=false] - Whether to use XML-style formatting for component instructions
* @returns {string} The generated system prompt
*/
function generateShadcnPrompt(options) {
const { components, useXML = false } = options;
let systemPrompt = dedent`
## Additional Artifact Instructions for React Components: "application/vnd.react"
There are some prestyled components (primitives) available for use. Please use your best judgement to use any of these components if the app calls for one.
Here are the components that are available, along with how to import them, and how to use them:
${Object.values(components)
.map((component) => {
if (useXML) {
return dedent`
<component>
<name>${component.componentName}</name>
<import-instructions>${component.importDocs}</import-instructions>
<usage-instructions>${component.usageDocs}</usage-instructions>
</component>
`;
} else {
return dedent`
# ${component.componentName}
## Import Instructions
${component.importDocs}
## Usage Instructions
${component.usageDocs}
`;
}
})
.join('\n\n')}
`;
return systemPrompt;
}
module.exports = {
generateShadcnPrompt,
};
+53
View File
@@ -0,0 +1,53 @@
const { PromptTemplate } = require('@librechat/agents/langchain/prompts');
/*
* Without `{summary}` and `{new_lines}`, token count is 98
* We are counting this towards the max context tokens for summaries, +3 for the assistant label (101)
* If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
*/
const _DEFAULT_SUMMARIZER_TEMPLATE = `Summarize the conversation by integrating new lines into the current summary.
EXAMPLE:
Current summary:
The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial.
New lines:
Human: Why is it beneficial?
AI: It helps humans achieve their potential.
New summary:
The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial because it helps humans achieve their potential.
Current summary:
{summary}
New lines:
{new_lines}
New summary:`;
const SUMMARY_PROMPT = new PromptTemplate({
inputVariables: ['summary', 'new_lines'],
template: _DEFAULT_SUMMARIZER_TEMPLATE,
});
/*
* Without `{new_lines}`, token count is 27
* We are counting this towards the max context tokens for summaries, rounded up to 30
* If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
*/
const _CUT_OFF_SUMMARIZER = `The following text is cut-off:
{new_lines}
Summarize the content as best as you can, noting that it was cut-off.
Summary:`;
const CUT_OFF_PROMPT = new PromptTemplate({
inputVariables: ['new_lines'],
template: _CUT_OFF_SUMMARIZER,
});
module.exports = {
SUMMARY_PROMPT,
CUT_OFF_PROMPT,
};
+40
View File
@@ -0,0 +1,40 @@
const MAX_CHAR = 255;
/**
* Truncates a given text to a specified maximum length, appending ellipsis and a notification
* if the original text exceeds the maximum length.
*
* @param {string} text - The text to be truncated.
* @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
* @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
*/
function truncateText(text, maxLength = MAX_CHAR) {
if (text.length > maxLength) {
return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
}
return text;
}
/**
* Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
* separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
* of ellipsis and notification if the original text exceeds the maximum length.
*
* @param {string} text - The text to be truncated.
* @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
* @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
*/
function smartTruncateText(text, maxLength = MAX_CHAR) {
const ellipsis = '...';
const notification = ' [text truncated for brevity]';
const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
if (text.length > maxLength) {
const startLastHalf = text.length - halfMaxLength;
return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
}
return text;
}
module.exports = { truncateText, smartTruncateText };
File diff suppressed because it is too large Load Diff
+126
View File
@@ -0,0 +1,126 @@
const { getModelMaxTokens } = require('@librechat/api');
const BaseClient = require('../BaseClient');
class FakeClient extends BaseClient {
constructor(apiKey, options = {}) {
super(apiKey, options);
this.sender = 'AI Assistant';
this.setOptions(options);
}
setOptions(options) {
if (this.options && !this.options.replaceOptions) {
this.options.modelOptions = {
...this.options.modelOptions,
...options.modelOptions,
};
delete options.modelOptions;
this.options = {
...this.options,
...options,
};
} else {
this.options = options;
}
if (this.options.openaiApiKey) {
this.apiKey = this.options.openaiApiKey;
}
const modelOptions = this.options.modelOptions || {};
if (!this.modelOptions) {
this.modelOptions = {
...modelOptions,
model: modelOptions.model || 'gpt-3.5-turbo',
temperature:
typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
presence_penalty:
typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
stop: modelOptions.stop,
};
}
this.maxContextTokens =
this.options.maxContextTokens ?? getModelMaxTokens(this.modelOptions.model) ?? 4097;
}
buildMessages() {}
getTokenCount(str) {
return str.length;
}
getTokenCountForMessage(message) {
return message?.content?.length || message.length;
}
}
const initializeFakeClient = (apiKey, options, fakeMessages) => {
let TestClient = new FakeClient(apiKey);
TestClient.options = options;
TestClient.abortController = { abort: jest.fn() };
TestClient.loadHistory = jest
.fn()
.mockImplementation((conversationId, parentMessageId = null) => {
if (!conversationId) {
TestClient.currentMessages = [];
return Promise.resolve([]);
}
const orderedMessages = TestClient.constructor.getMessagesForConversation({
messages: fakeMessages,
parentMessageId,
});
TestClient.currentMessages = orderedMessages;
return Promise.resolve(orderedMessages);
});
TestClient.getSaveOptions = jest.fn().mockImplementation(() => {
return {};
});
TestClient.getBuildMessagesOptions = jest.fn().mockImplementation(() => {
return {};
});
TestClient.sendCompletion = jest.fn(async () => {
return {
completion: 'Mock response text',
metadata: undefined,
};
});
TestClient.getCompletion = jest.fn().mockImplementation(async (..._args) => {
return {
choices: [
{
message: {
content: 'Mock response text',
},
},
],
};
});
TestClient.buildMessages = jest.fn(async (messages, parentMessageId) => {
const orderedMessages = TestClient.constructor.getMessagesForConversation({
messages,
parentMessageId,
});
const formattedMessages = orderedMessages.map((message) => {
let { role: _role, sender, text } = message;
const role = _role ?? sender;
const content = text ?? '';
return {
role: role?.toLowerCase() === 'user' ? 'user' : 'assistant',
content,
};
});
return {
prompt: formattedMessages,
tokenCountMap: null, // Simplified for the mock
};
});
return TestClient;
};
module.exports = { FakeClient, initializeFakeClient };
+30
View File
@@ -0,0 +1,30 @@
const manifest = require('./manifest');
// Structured Tools
const DALLE3 = require('./structured/DALLE3');
const FluxAPI = require('./structured/FluxAPI');
const OpenWeather = require('./structured/OpenWeather');
const StructuredWolfram = require('./structured/Wolfram');
const StructuredACS = require('./structured/AzureAISearch');
const StructuredSD = require('./structured/StableDiffusion');
const GoogleSearchAPI = require('./structured/GoogleSearch');
const TraversaalSearch = require('./structured/TraversaalSearch');
const createOpenAIImageTools = require('./structured/OpenAIImageTools');
const TavilySearchResults = require('./structured/TavilySearchResults');
const createGeminiImageTool = require('./structured/GeminiImageGen');
module.exports = {
...manifest,
// Structured Tools
DALLE3,
FluxAPI,
OpenWeather,
StructuredSD,
StructuredACS,
GoogleSearchAPI,
TraversaalSearch,
StructuredWolfram,
TavilySearchResults,
createOpenAIImageTools,
createGeminiImageTool,
};
+41
View File
@@ -0,0 +1,41 @@
const availableTools = require('./manifest.json');
/** @type {Record<string, TPlugin | undefined>} */
const manifestToolMap = {};
/** @type {Array<TPlugin>} */
const toolkits = [];
availableTools.forEach((tool) => {
manifestToolMap[tool.pluginKey] = tool;
if (tool.toolkit === true) {
toolkits.push(tool);
}
});
/**
* Whether a tool (string pluginKey, or an OpenAI function-tool object) is
* flagged `agentsOnly` in the manifest — usable only on the agents runtime
* (e.g. `ask_user_question`, which pauses a LangGraph run via `interrupt()`).
* The legacy assistants runtime executes tools with no run to pause and no
* resume surface, so these must be rejected before assistant create/update —
* the tools-dialog scoping alone doesn't stop a REST client or a stale saved
* payload from posting the tool string directly.
*
* @param {string | { function?: { name?: string } } | undefined} tool
* @returns {boolean}
*/
function isAgentsOnlyTool(tool) {
const name = typeof tool === 'string' ? tool : tool?.function?.name;
if (!name) {
return false;
}
return manifestToolMap[name]?.agentsOnly === true;
}
module.exports = {
toolkits,
availableTools,
manifestToolMap,
isAgentsOnlyTool,
};
+177
View File
@@ -0,0 +1,177 @@
[
{
"name": "Traversaal",
"pluginKey": "traversaal_search",
"description": "Traversaal is a robust search API tailored for LLM Agents. Get an API key here: https://api.traversaal.ai",
"icon": "https://traversaal.ai/favicon.ico",
"authConfig": [
{
"authField": "TRAVERSAAL_API_KEY",
"label": "Traversaal API Key",
"description": "Get your API key here: <a href=\"https://api.traversaal.ai\" target=\"_blank\">https://api.traversaal.ai</a>"
}
]
},
{
"name": "Google",
"pluginKey": "google",
"description": "Use Google Search to find information about the weather, news, sports, and more.",
"icon": "assets/google-search.svg",
"authConfig": [
{
"authField": "GOOGLE_CSE_ID",
"label": "Google CSE ID",
"description": "This is your Google Custom Search Engine ID. For instructions on how to obtain this, see <a href='https://github.com/danny-avila/LibreChat/blob/main/docs/features/plugins/google_search.md'>Our Docs</a>."
},
{
"authField": "GOOGLE_SEARCH_API_KEY",
"label": "Google API Key",
"description": "This is your Google Custom Search API Key. For instructions on how to obtain this, see <a href='https://github.com/danny-avila/LibreChat/blob/main/docs/features/plugins/google_search.md'>Our Docs</a>."
}
]
},
{
"name": "OpenAI Image Tools",
"pluginKey": "image_gen_oai",
"toolkit": true,
"description": "Image Generation and Editing using OpenAI's latest state-of-the-art models",
"icon": "assets/image_gen_oai.png",
"authConfig": [
{
"authField": "IMAGE_GEN_OAI_API_KEY",
"label": "OpenAI Image Tools API Key",
"description": "Your OpenAI API Key for Image Generation and Editing"
}
]
},
{
"name": "Wolfram",
"pluginKey": "wolfram",
"description": "Access computation, math, curated knowledge & real-time data through Wolfram|Alpha and Wolfram Language.",
"icon": "https://www.wolframcdn.com/images/icons/Wolfram.png",
"authConfig": [
{
"authField": "WOLFRAM_APP_ID",
"label": "Wolfram App ID",
"description": "An AppID must be supplied in all calls to the Wolfram|Alpha API. You can get one by registering at <a href='http://products.wolframalpha.com/api/'>Wolfram|Alpha</a> and going to the <a href='https://developer.wolframalpha.com/portal/myapps/'>Developer Portal</a>."
}
]
},
{
"name": "DALL-E-3",
"pluginKey": "dalle",
"description": "[DALL-E-3] Create realistic images and art from a description in natural language",
"icon": "assets/openai.svg",
"authConfig": [
{
"authField": "DALLE3_API_KEY||DALLE_API_KEY",
"label": "OpenAI API Key",
"description": "You can use DALL-E with your API Key from OpenAI."
}
]
},
{
"name": "Tavily Search",
"pluginKey": "tavily_search_results_json",
"description": "Tavily Search is a robust search API tailored for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience.",
"icon": "assets/tavily.svg",
"authConfig": [
{
"authField": "TAVILY_API_KEY",
"label": "Tavily API Key",
"description": "Get your API key here: https://app.tavily.com/"
}
]
},
{
"name": "Calculator",
"pluginKey": "calculator",
"description": "Perform simple and complex mathematical calculations.",
"icon": "assets/calculator.svg",
"authConfig": []
},
{
"name": "Ask User",
"pluginKey": "ask_user_question",
"description": "Let the agent pause mid-run to ask you a clarifying question and wait for your answer.",
"agentsOnly": true,
"authConfig": []
},
{
"name": "Stable Diffusion",
"pluginKey": "stable-diffusion",
"description": "Generate photo-realistic images given any text input.",
"icon": "assets/stability-ai.svg",
"authConfig": [
{
"authField": "SD_WEBUI_URL",
"label": "Your Stable Diffusion WebUI API URL",
"description": "You need to provide the URL of your Stable Diffusion WebUI API. For instructions on how to obtain this, see <a href='url'>Our Docs</a>."
}
]
},
{
"name": "Azure AI Search",
"pluginKey": "azure-ai-search",
"description": "Use Azure AI Search to find information",
"icon": "assets/azure-ai-search.svg",
"authConfig": [
{
"authField": "AZURE_AI_SEARCH_SERVICE_ENDPOINT",
"label": "Azure AI Search Endpoint",
"description": "You need to provide your Endpoint for Azure AI Search."
},
{
"authField": "AZURE_AI_SEARCH_INDEX_NAME",
"label": "Azure AI Search Index Name",
"description": "You need to provide your Index Name for Azure AI Search."
},
{
"authField": "AZURE_AI_SEARCH_API_KEY",
"label": "Azure AI Search API Key",
"description": "You need to provide your API Key for Azure AI Search."
}
]
},
{
"name": "OpenWeather",
"pluginKey": "open_weather",
"description": "Get weather forecasts and historical data from the OpenWeather API",
"icon": "assets/openweather.png",
"authConfig": [
{
"authField": "OPENWEATHER_API_KEY",
"label": "OpenWeather API Key",
"description": "Sign up at <a href=\"https://home.openweathermap.org/users/sign_up\" target=\"_blank\">OpenWeather</a>, then get your key at <a href=\"https://home.openweathermap.org/api_keys\" target=\"_blank\">API keys</a>."
}
]
},
{
"name": "Flux",
"pluginKey": "flux",
"description": "Generate images using text with the Flux API.",
"icon": "assets/bfl-ai.svg",
"isAuthRequired": "true",
"authConfig": [
{
"authField": "FLUX_API_KEY",
"label": "Your Flux API Key",
"description": "Provide your Flux API key from your user profile."
}
]
},
{
"name": "Gemini Image Tools",
"pluginKey": "gemini_image_gen",
"description": "Generate high-quality images using Google's Gemini Image Models. Supports Gemini API or Vertex AI.",
"icon": "assets/gemini_image_gen.svg",
"authConfig": [
{
"authField": "GEMINI_API_KEY||GOOGLE_KEY||GOOGLE_SERVICE_KEY_FILE",
"label": "Gemini API Key (optional)",
"description": "Your Google Gemini API Key from <a href='https://aistudio.google.com/app/apikey' target='_blank'>Google AI Studio</a>. Leave blank to use Vertex AI with a service account (GOOGLE_SERVICE_KEY_FILE or api/data/auth.json).",
"optional": true
}
]
}
]
+22
View File
@@ -0,0 +1,22 @@
const { manifestToolMap, isAgentsOnlyTool } = require('./manifest');
describe('isAgentsOnlyTool', () => {
it('flags ask_user_question (agentsOnly in the real manifest) in both wire shapes', () => {
// Guard the data too: the whole assistants-rejection path keys on this flag.
expect(manifestToolMap['ask_user_question']?.agentsOnly).toBe(true);
expect(isAgentsOnlyTool('ask_user_question')).toBe(true);
expect(isAgentsOnlyTool({ type: 'function', function: { name: 'ask_user_question' } })).toBe(
true,
);
});
it('does not flag ordinary manifest tools, unknown tools, or malformed inputs', () => {
expect(isAgentsOnlyTool('calculator')).toBe(false);
expect(isAgentsOnlyTool('nonexistent_tool')).toBe(false);
expect(isAgentsOnlyTool({ type: 'function', function: { name: 'calculator' } })).toBe(false);
expect(isAgentsOnlyTool(undefined)).toBe(false);
expect(isAgentsOnlyTool({})).toBe(false);
expect(isAgentsOnlyTool({ type: 'code_interpreter' })).toBe(false);
});
});
@@ -0,0 +1,115 @@
const { logger } = require('@librechat/data-schemas');
const { Tool } = require('@librechat/agents/langchain/tools');
const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
const azureAISearchJsonSchema = {
type: 'object',
properties: {
query: {
type: 'string',
description: 'Search word or phrase to Azure AI Search',
},
},
required: ['query'],
};
class AzureAISearch extends Tool {
// Constants for default values
static DEFAULT_API_VERSION = '2023-11-01';
static DEFAULT_QUERY_TYPE = 'simple';
static DEFAULT_TOP = 5;
static get jsonSchema() {
return azureAISearchJsonSchema;
}
// Helper function for initializing properties
_initializeField(field, envVar, defaultValue) {
return field || process.env[envVar] || defaultValue;
}
constructor(fields = {}) {
super();
this.name = 'azure-ai-search';
this.description =
"Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
/* Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
this.schema = azureAISearchJsonSchema;
// Initialize properties using helper function
this.serviceEndpoint = this._initializeField(
fields.AZURE_AI_SEARCH_SERVICE_ENDPOINT,
'AZURE_AI_SEARCH_SERVICE_ENDPOINT',
);
this.indexName = this._initializeField(
fields.AZURE_AI_SEARCH_INDEX_NAME,
'AZURE_AI_SEARCH_INDEX_NAME',
);
this.apiKey = this._initializeField(fields.AZURE_AI_SEARCH_API_KEY, 'AZURE_AI_SEARCH_API_KEY');
this.apiVersion = this._initializeField(
fields.AZURE_AI_SEARCH_API_VERSION,
'AZURE_AI_SEARCH_API_VERSION',
AzureAISearch.DEFAULT_API_VERSION,
);
this.queryType = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE,
'AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE',
AzureAISearch.DEFAULT_QUERY_TYPE,
);
this.top = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_TOP,
'AZURE_AI_SEARCH_SEARCH_OPTION_TOP',
AzureAISearch.DEFAULT_TOP,
);
this.select = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_SELECT,
'AZURE_AI_SEARCH_SEARCH_OPTION_SELECT',
);
// Check for required fields
if (!this.override && (!this.serviceEndpoint || !this.indexName || !this.apiKey)) {
throw new Error(
'Missing AZURE_AI_SEARCH_SERVICE_ENDPOINT, AZURE_AI_SEARCH_INDEX_NAME, or AZURE_AI_SEARCH_API_KEY environment variable.',
);
}
if (this.override) {
return;
}
// Create SearchClient
this.client = new SearchClient(
this.serviceEndpoint,
this.indexName,
new AzureKeyCredential(this.apiKey),
{ apiVersion: this.apiVersion },
);
}
// Improved error handling and logging
async _call(data) {
const { query } = data;
try {
const searchOption = {
queryType: this.queryType,
top: typeof this.top === 'string' ? Number(this.top) : this.top,
};
if (this.select) {
searchOption.select = this.select.split(',');
}
const searchResults = await this.client.search(query, searchOption);
const resultDocuments = [];
for await (const result of searchResults.results) {
resultDocuments.push(result.document);
}
return JSON.stringify(resultDocuments);
} catch (error) {
logger.error('Azure AI Search request failed', error);
return 'There was an error with Azure AI Search.';
}
}
}
module.exports = AzureAISearch;
+257
View File
@@ -0,0 +1,257 @@
const path = require('path');
const OpenAI = require('openai');
const { v4: uuidv4 } = require('uuid');
const { fetch } = require('undici');
const { logger } = require('@librechat/data-schemas');
const { Tool } = require('@librechat/agents/langchain/tools');
const {
getImageBasename,
extractBaseURL,
getProxyDispatcher,
getEnvProxyDispatcher,
createMinimalRetentionRequest,
} = require('@librechat/api');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const dalle3JsonSchema = {
type: 'object',
properties: {
prompt: {
type: 'string',
maxLength: 4000,
description:
'A text description of the desired image, following the rules, up to 4000 characters.',
},
style: {
type: 'string',
enum: ['vivid', 'natural'],
description:
'Must be one of `vivid` or `natural`. `vivid` generates hyper-real and dramatic images, `natural` produces more natural, less hyper-real looking images',
},
quality: {
type: 'string',
enum: ['hd', 'standard'],
description: 'The quality of the generated image. Only `hd` and `standard` are supported.',
},
size: {
type: 'string',
enum: ['1024x1024', '1792x1024', '1024x1792'],
description:
'The size of the requested image. Use 1024x1024 (square) as the default, 1792x1024 if the user requests a wide image, and 1024x1792 for full-body portraits. Always include this parameter in the request.',
},
},
required: ['prompt', 'style', 'quality', 'size'],
};
const displayMessage =
"DALL-E displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
class DALLE3 extends Tool {
constructor(fields = {}) {
super();
/** @type {boolean} Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
/** @type {boolean} Necessary for output to contain all image metadata. */
this.returnMetadata = fields.returnMetadata ?? false;
this.userId = fields.userId;
this.tenantId = fields.req?.user?.tenantId;
this.retentionRequest = createMinimalRetentionRequest(fields.req);
this.fileStrategy = fields.fileStrategy;
/** @type {boolean} */
this.isAgent = fields.isAgent;
if (this.isAgent) {
/** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
this.responseFormat = 'content_and_artifact';
}
if (fields.processFileURL) {
/** @type {processFileURL} Necessary for output to contain all image metadata. */
this.processFileURL = fields.processFileURL.bind(this);
}
let apiKey = fields.DALLE3_API_KEY ?? fields.DALLE_API_KEY ?? this.getApiKey();
const config = { apiKey };
if (process.env.DALLE_REVERSE_PROXY) {
config.baseURL = extractBaseURL(process.env.DALLE_REVERSE_PROXY);
}
if (process.env.DALLE3_AZURE_API_VERSION && process.env.DALLE3_BASEURL) {
config.baseURL = process.env.DALLE3_BASEURL;
config.defaultQuery = { 'api-version': process.env.DALLE3_AZURE_API_VERSION };
config.defaultHeaders = {
'api-key': process.env.DALLE3_API_KEY,
'Content-Type': 'application/json',
};
config.apiKey = process.env.DALLE3_API_KEY;
}
const proxyDispatcher = getProxyDispatcher();
if (proxyDispatcher) {
config.fetchOptions = {
dispatcher: proxyDispatcher,
};
}
/** @type {OpenAI} */
this.openai = new OpenAI(config);
this.name = 'dalle';
this.description = `Use DALLE to create images from text descriptions.
- It requires prompts to be in English, detailed, and to specify image type and human features for diversity.
- Create only one image, without repeating or listing descriptions outside the "prompts" field.
- Maintains the original intent of the description, with parameters for image style, quality, and size to tailor the output.`;
this.description_for_model =
process.env.DALLE3_SYSTEM_PROMPT ??
`// Whenever a description of an image is given, generate prompts (following these rules), and use dalle to create the image. If the user does not ask for a specific number of images, default to creating 2 prompts to send to dalle that are written to be as diverse as possible. All prompts sent to dalle must abide by the following policies:
// 1. Prompts must be in English. Translate to English if needed.
// 2. One image per function call. Create only 1 image per request unless explicitly told to generate more than 1 image.
// 3. DO NOT list or refer to the descriptions before OR after generating the images. They should ONLY ever be written out ONCE, in the \`"prompts"\` field of the request. You do not need to ask for permission to generate, just do it!
// 4. Always mention the image type (photo, oil painting, watercolor painting, illustration, cartoon, drawing, vector, render, etc.) at the beginning of the caption. Unless the captions suggests otherwise, make one of the images a photo.
// 5. Diversify depictions of ALL images with people to always include always DESCENT and GENDER for EACH person using direct terms. Adjust only human descriptions.
// - EXPLICITLY specify these attributes, not abstractly reference them. The attributes should be specified in a minimal way and should directly describe their physical form.
// - Your choices should be grounded in reality. For example, all of a given OCCUPATION should not be the same gender or race. Additionally, focus on creating diverse, inclusive, and exploratory scenes via the properties you choose during rewrites. Make choices that may be insightful or unique sometimes.
// - Use "various" or "diverse" ONLY IF the description refers to groups of more than 3 people. Do not change the number of people requested in the original description.
// - Don't alter memes, fictional character origins, or unseen people. Maintain the original prompt's intent and prioritize quality.
// The prompt must intricately describe every part of the image in concrete, objective detail. THINK about what the end goal of the description is, and extrapolate that to what would make satisfying images.
// All descriptions sent to dalle should be a paragraph of text that is extremely descriptive and detailed. Each should be more than 3 sentences long.
// - The "vivid" style is HIGHLY preferred, but "natural" is also supported.`;
this.schema = dalle3JsonSchema;
}
static get jsonSchema() {
return dalle3JsonSchema;
}
getApiKey() {
const apiKey = process.env.DALLE3_API_KEY ?? process.env.DALLE_API_KEY ?? '';
if (!apiKey && !this.override) {
throw new Error('Missing DALLE_API_KEY environment variable.');
}
return apiKey;
}
replaceUnwantedChars(inputString) {
return inputString
.replace(/\r\n|\r|\n/g, ' ')
.replace(/"/g, '')
.trim();
}
wrapInMarkdown(imageUrl) {
return `![generated image](${imageUrl})`;
}
returnValue(value) {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
return [displayMessage, value];
}
return value;
}
async _call(data) {
const { prompt, quality = 'standard', size = '1024x1024', style = 'vivid' } = data;
if (!prompt) {
throw new Error('Missing required field: prompt');
}
let resp;
try {
resp = await this.openai.images.generate({
model: 'dall-e-3',
quality,
style,
size,
prompt: this.replaceUnwantedChars(prompt),
n: 1,
});
} catch (error) {
logger.error('[DALL-E-3] Problem generating the image:', error);
return this
.returnValue(`Something went wrong when trying to generate the image. The DALL-E API may be unavailable:
Error Message: ${error.message}`);
}
if (!resp) {
return this.returnValue(
'Something went wrong when trying to generate the image. The DALL-E API may be unavailable',
);
}
const theImageUrl = resp.data[0].url;
if (!theImageUrl) {
return this.returnValue(
'No image URL returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
if (this.isAgent) {
let fetchOptions = {};
const dispatcher = getEnvProxyDispatcher();
if (dispatcher) {
fetchOptions.dispatcher = dispatcher;
}
const imageResponse = await fetch(theImageUrl, fetchOptions);
const arrayBuffer = await imageResponse.arrayBuffer();
const base64 = Buffer.from(arrayBuffer).toString('base64');
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${base64}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
}
const imageBasename = getImageBasename(theImageUrl);
const imageExt = path.extname(imageBasename);
const extension = imageExt.startsWith('.') ? imageExt.slice(1) : imageExt;
const imageName = `img-${uuidv4()}.${extension}`;
logger.debug('[DALL-E-3]', {
imageName,
imageBasename,
imageExt,
extension,
theImageUrl,
data: resp.data[0],
});
try {
const result = await this.processFileURL({
URL: theImageUrl,
basePath: 'images',
userId: this.userId,
fileName: imageName,
fileStrategy: this.fileStrategy,
context: FileContext.image_generation,
tenantId: this.tenantId,
req: this.retentionRequest,
});
if (this.returnMetadata) {
this.result = result;
} else {
this.result = this.wrapInMarkdown(result.filepath);
}
} catch (error) {
logger.error('Error while saving the image:', error);
this.result = `Failed to save the image locally. ${error.message}`;
}
return this.returnValue(this.result);
}
}
module.exports = DALLE3;
+597
View File
@@ -0,0 +1,597 @@
const axios = require('axios');
const fetch = require('node-fetch');
const { v4: uuidv4 } = require('uuid');
const { logger } = require('@librechat/data-schemas');
const { Tool } = require('@librechat/agents/langchain/tools');
const {
applyAxiosProxyConfig,
createMinimalRetentionRequest,
getHttpsProxyAgent,
} = require('@librechat/api');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const fluxApiJsonSchema = {
type: 'object',
properties: {
action: {
type: 'string',
enum: ['generate', 'list_finetunes', 'generate_finetuned'],
description:
'Action to perform: "generate" for image generation, "generate_finetuned" for finetuned model generation, "list_finetunes" to get available custom models',
},
prompt: {
type: 'string',
description:
'Text prompt for image generation. Required when action is "generate". Not used for list_finetunes.',
},
width: {
type: 'number',
description:
'Width of the generated image in pixels. Must be a multiple of 32. Default is 1024.',
},
height: {
type: 'number',
description:
'Height of the generated image in pixels. Must be a multiple of 32. Default is 768.',
},
prompt_upsampling: {
type: 'boolean',
description: 'Whether to perform upsampling on the prompt.',
},
steps: {
type: 'integer',
description: 'Number of steps to run the model for, a number from 1 to 50. Default is 40.',
},
seed: {
type: 'number',
description: 'Optional seed for reproducibility.',
},
safety_tolerance: {
type: 'number',
description:
'Tolerance level for input and output moderation. Between 0 and 6, 0 being most strict, 6 being least strict.',
},
endpoint: {
type: 'string',
enum: [
'/v1/flux-pro-1.1',
'/v1/flux-pro',
'/v1/flux-dev',
'/v1/flux-pro-1.1-ultra',
'/v1/flux-pro-finetuned',
'/v1/flux-pro-1.1-ultra-finetuned',
],
description: 'Endpoint to use for image generation.',
},
raw: {
type: 'boolean',
description:
'Generate less processed, more natural-looking images. Only works for /v1/flux-pro-1.1-ultra.',
},
finetune_id: {
type: 'string',
description: 'ID of the finetuned model to use',
},
finetune_strength: {
type: 'number',
description: 'Strength of the finetuning effect (typically between 0.1 and 1.2)',
},
guidance: {
type: 'number',
description: 'Guidance scale for finetuned models',
},
aspect_ratio: {
type: 'string',
description: 'Aspect ratio for ultra models (e.g., "16:9")',
},
},
required: [],
};
const displayMessage =
"Flux displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* FluxAPI - A tool for generating high-quality images from text prompts using the Flux API.
* Each call generates one image. If multiple images are needed, make multiple consecutive calls with the same or varied prompts.
*/
class FluxAPI extends Tool {
// Pricing constants in USD per image
static PRICING = {
FLUX_PRO_1_1_ULTRA: -0.06, // /v1/flux-pro-1.1-ultra
FLUX_PRO_1_1: -0.04, // /v1/flux-pro-1.1
FLUX_PRO: -0.05, // /v1/flux-pro
FLUX_DEV: -0.025, // /v1/flux-dev
FLUX_PRO_FINETUNED: -0.06, // /v1/flux-pro-finetuned
FLUX_PRO_1_1_ULTRA_FINETUNED: -0.07, // /v1/flux-pro-1.1-ultra-finetuned
};
constructor(fields = {}) {
super();
/** @type {boolean} Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
this.userId = fields.userId;
this.tenantId = fields.req?.user?.tenantId;
this.retentionRequest = createMinimalRetentionRequest(fields.req);
this.fileStrategy = fields.fileStrategy;
/** @type {boolean} **/
this.isAgent = fields.isAgent;
if (this.isAgent) {
/** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
this.responseFormat = 'content_and_artifact';
}
this.returnMetadata = fields.returnMetadata ?? false;
if (fields.processFileURL) {
/** @type {processFileURL} Necessary for output to contain all image metadata. */
this.processFileURL = fields.processFileURL.bind(this);
}
this.apiKey = fields.FLUX_API_KEY || this.getApiKey();
this.name = 'flux';
this.description =
'Use Flux to generate images from text descriptions. This tool can generate images and list available finetunes. Each generate call creates one image. For multiple images, make multiple consecutive calls.';
this.description_for_model = `// Transform any image description into a detailed, high-quality prompt. Never submit a prompt under 3 sentences. Follow these core rules:
// 1. ALWAYS enhance basic prompts into 5-10 detailed sentences (e.g., "a cat" becomes: "A close-up photo of a sleek Siamese cat with piercing blue eyes. The cat sits elegantly on a vintage leather armchair, its tail curled gracefully around its paws. Warm afternoon sunlight streams through a nearby window, casting gentle shadows across its face and highlighting the subtle variations in its cream and chocolate-point fur. The background is softly blurred, creating a shallow depth of field that draws attention to the cat's expressive features. The overall composition has a peaceful, contemplative mood with a professional photography style.")
// 2. Each prompt MUST be 3-6 descriptive sentences minimum, focusing on visual elements: lighting, composition, mood, and style
// Use action: 'list_finetunes' to see available custom models. When using finetunes, use endpoint: '/v1/flux-pro-finetuned' (default) or '/v1/flux-pro-1.1-ultra-finetuned' for higher quality and aspect ratio.`;
// Add base URL from environment variable with fallback
this.baseUrl = process.env.FLUX_API_BASE_URL || 'https://api.us1.bfl.ai';
this.schema = fluxApiJsonSchema;
}
static get jsonSchema() {
return fluxApiJsonSchema;
}
getAxiosConfig() {
const config = {};
return applyAxiosProxyConfig(config, this.baseUrl);
}
/** @param {Object|string} value */
getDetails(value) {
if (typeof value === 'string') {
return value;
}
return JSON.stringify(value, null, 2);
}
getApiKey() {
const apiKey = process.env.FLUX_API_KEY || '';
if (!apiKey && !this.override) {
throw new Error('Missing FLUX_API_KEY environment variable.');
}
return apiKey;
}
wrapInMarkdown(imageUrl) {
const serverDomain = process.env.DOMAIN_SERVER || 'http://localhost:3080';
return `![generated image](${serverDomain}${imageUrl})`;
}
returnValue(value) {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
if (Array.isArray(value)) {
return value;
}
return [displayMessage, value];
}
return value;
}
async _call(data) {
const { action = 'generate', ...imageData } = data;
// Use provided API key for this request if available, otherwise use default
const requestApiKey = this.apiKey || this.getApiKey();
// Handle list_finetunes action
if (action === 'list_finetunes') {
return this.getMyFinetunes(requestApiKey);
}
// Handle finetuned generation
if (action === 'generate_finetuned') {
return this.generateFinetunedImage(imageData, requestApiKey);
}
// For generate action, ensure prompt is provided
if (!imageData.prompt) {
throw new Error('Missing required field: prompt');
}
let payload = {
prompt: imageData.prompt,
prompt_upsampling: imageData.prompt_upsampling || false,
safety_tolerance: imageData.safety_tolerance || 6,
output_format: imageData.output_format || 'png',
};
// Add optional parameters if provided
if (imageData.width) {
payload.width = imageData.width;
}
if (imageData.height) {
payload.height = imageData.height;
}
if (imageData.steps) {
payload.steps = imageData.steps;
}
if (imageData.seed !== undefined) {
payload.seed = imageData.seed;
}
if (imageData.raw) {
payload.raw = imageData.raw;
}
const generateUrl = `${this.baseUrl}${imageData.endpoint || '/v1/flux-pro'}`;
const resultUrl = `${this.baseUrl}/v1/get_result`;
logger.debug('[FluxAPI] Generating image with payload:', payload);
logger.debug('[FluxAPI] Using endpoint:', generateUrl);
let taskResponse;
try {
taskResponse = await axios.post(generateUrl, payload, {
headers: {
'x-key': requestApiKey,
'Content-Type': 'application/json',
Accept: 'application/json',
},
...this.getAxiosConfig(),
});
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while submitting task:', details);
return this.returnValue(
`Something went wrong when trying to generate the image. The Flux API may be unavailable:
Error Message: ${details}`,
);
}
const taskId = taskResponse.data.id;
// Polling for the result
let status = 'Pending';
let resultData = null;
while (status !== 'Ready' && status !== 'Error') {
try {
// Wait 2 seconds between polls
await new Promise((resolve) => setTimeout(resolve, 2000));
const resultResponse = await axios.get(resultUrl, {
headers: {
'x-key': requestApiKey,
Accept: 'application/json',
},
params: { id: taskId },
...this.getAxiosConfig(),
});
status = resultResponse.data.status;
if (status === 'Ready') {
resultData = resultResponse.data.result;
break;
} else if (status === 'Error') {
logger.error('[FluxAPI] Error in task:', resultResponse.data);
return this.returnValue('An error occurred during image generation.');
}
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting result:', details);
return this.returnValue('An error occurred while retrieving the image.');
}
}
// If no result data
if (!resultData || !resultData.sample) {
logger.error('[FluxAPI] No image data received from API. Response:', resultData);
return this.returnValue('No image data received from Flux API.');
}
// Try saving the image locally
const imageUrl = resultData.sample;
const imageName = `img-${uuidv4()}.png`;
if (this.isAgent) {
try {
// Fetch the image and convert to base64
const fetchOptions = {};
const agent = getHttpsProxyAgent(imageUrl);
if (agent) {
fetchOptions.agent = agent;
}
const imageResponse = await fetch(imageUrl, fetchOptions);
const arrayBuffer = await imageResponse.arrayBuffer();
const base64 = Buffer.from(arrayBuffer).toString('base64');
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${base64}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
} catch (error) {
logger.error('Error processing image for agent:', error);
return this.returnValue(`Failed to process the image. ${error.message}`);
}
}
try {
logger.debug('[FluxAPI] Saving image:', imageUrl);
const result = await this.processFileURL({
fileStrategy: this.fileStrategy,
userId: this.userId,
URL: imageUrl,
fileName: imageName,
basePath: 'images',
context: FileContext.image_generation,
tenantId: this.tenantId,
req: this.retentionRequest,
});
logger.debug('[FluxAPI] Image saved to path:', result.filepath);
// Calculate cost based on endpoint
/**
* TODO: Cost handling
const endpoint = imageData.endpoint || '/v1/flux-pro';
const endpointKey = Object.entries(FluxAPI.PRICING).find(([key, _]) =>
endpoint.includes(key.toLowerCase().replace(/_/g, '-')),
)?.[0];
const cost = FluxAPI.PRICING[endpointKey] || 0;
*/
this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
return this.returnValue(this.result);
} catch (error) {
const details = this.getDetails(error?.message ?? 'No additional error details.');
logger.error('Error while saving the image:', details);
return this.returnValue(`Failed to save the image locally. ${details}`);
}
}
async getMyFinetunes(apiKey = null) {
const finetunesUrl = `${this.baseUrl}/v1/my_finetunes`;
const detailsUrl = `${this.baseUrl}/v1/finetune_details`;
try {
const headers = {
'x-key': apiKey || this.getApiKey(),
'Content-Type': 'application/json',
Accept: 'application/json',
};
// Get list of finetunes
const response = await axios.get(finetunesUrl, {
headers,
...this.getAxiosConfig(),
});
const finetunes = response.data.finetunes;
// Fetch details for each finetune
const finetuneDetails = await Promise.all(
finetunes.map(async (finetuneId) => {
try {
const detailResponse = await axios.get(`${detailsUrl}?finetune_id=${finetuneId}`, {
headers,
...this.getAxiosConfig(),
});
return {
id: finetuneId,
...detailResponse.data,
};
} catch (error) {
logger.error(`[FluxAPI] Error fetching details for finetune ${finetuneId}:`, error);
return {
id: finetuneId,
error: 'Failed to fetch details',
};
}
}),
);
if (this.isAgent) {
const formattedDetails = JSON.stringify(finetuneDetails, null, 2);
return [`Here are the available finetunes:\n${formattedDetails}`, null];
}
return JSON.stringify(finetuneDetails);
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting finetunes:', details);
const errorMsg = `Failed to get finetunes: ${details}`;
return this.isAgent ? this.returnValue([errorMsg, {}]) : new Error(errorMsg);
}
}
async generateFinetunedImage(imageData, requestApiKey) {
if (!imageData.prompt) {
throw new Error('Missing required field: prompt');
}
if (!imageData.finetune_id) {
throw new Error(
'Missing required field: finetune_id for finetuned generation. Please supply a finetune_id!',
);
}
// Validate endpoint is appropriate for finetuned generation
const validFinetunedEndpoints = ['/v1/flux-pro-finetuned', '/v1/flux-pro-1.1-ultra-finetuned'];
const endpoint = imageData.endpoint || '/v1/flux-pro-finetuned';
if (!validFinetunedEndpoints.includes(endpoint)) {
throw new Error(
`Invalid endpoint for finetuned generation. Must be one of: ${validFinetunedEndpoints.join(', ')}`,
);
}
let payload = {
prompt: imageData.prompt,
prompt_upsampling: imageData.prompt_upsampling || false,
safety_tolerance: imageData.safety_tolerance || 6,
output_format: imageData.output_format || 'png',
finetune_id: imageData.finetune_id,
finetune_strength: imageData.finetune_strength || 1.0,
guidance: imageData.guidance || 2.5,
};
// Add optional parameters if provided
if (imageData.width) {
payload.width = imageData.width;
}
if (imageData.height) {
payload.height = imageData.height;
}
if (imageData.steps) {
payload.steps = imageData.steps;
}
if (imageData.seed !== undefined) {
payload.seed = imageData.seed;
}
if (imageData.raw) {
payload.raw = imageData.raw;
}
const generateUrl = `${this.baseUrl}${endpoint}`;
const resultUrl = `${this.baseUrl}/v1/get_result`;
logger.debug('[FluxAPI] Generating finetuned image with payload:', payload);
logger.debug('[FluxAPI] Using endpoint:', generateUrl);
let taskResponse;
try {
taskResponse = await axios.post(generateUrl, payload, {
headers: {
'x-key': requestApiKey,
'Content-Type': 'application/json',
Accept: 'application/json',
},
...this.getAxiosConfig(),
});
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while submitting finetuned task:', details);
return this.returnValue(
`Something went wrong when trying to generate the finetuned image. The Flux API may be unavailable:
Error Message: ${details}`,
);
}
const taskId = taskResponse.data.id;
// Polling for the result
let status = 'Pending';
let resultData = null;
while (status !== 'Ready' && status !== 'Error') {
try {
// Wait 2 seconds between polls
await new Promise((resolve) => setTimeout(resolve, 2000));
const resultResponse = await axios.get(resultUrl, {
headers: {
'x-key': requestApiKey,
Accept: 'application/json',
},
params: { id: taskId },
...this.getAxiosConfig(),
});
status = resultResponse.data.status;
if (status === 'Ready') {
resultData = resultResponse.data.result;
break;
} else if (status === 'Error') {
logger.error('[FluxAPI] Error in finetuned task:', resultResponse.data);
return this.returnValue('An error occurred during finetuned image generation.');
}
} catch (error) {
const details = this.getDetails(error?.response?.data || error.message);
logger.error('[FluxAPI] Error while getting finetuned result:', details);
return this.returnValue('An error occurred while retrieving the finetuned image.');
}
}
// If no result data
if (!resultData || !resultData.sample) {
logger.error('[FluxAPI] No image data received from API. Response:', resultData);
return this.returnValue('No image data received from Flux API.');
}
const imageUrl = resultData.sample;
const imageName = `img-${uuidv4()}.png`;
if (this.isAgent) {
try {
const fetchOptions = {};
const agent = getHttpsProxyAgent(imageUrl);
if (agent) {
fetchOptions.agent = agent;
}
const imageResponse = await fetch(imageUrl, fetchOptions);
const arrayBuffer = await imageResponse.arrayBuffer();
const base64 = Buffer.from(arrayBuffer).toString('base64');
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${base64}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
} catch (error) {
logger.error('[FluxAPI] Error processing finetuned image for agent:', error);
return this.returnValue(`Failed to process the finetuned image. ${error.message}`);
}
}
try {
logger.debug('[FluxAPI] Saving finetuned image:', imageUrl);
const result = await this.processFileURL({
fileStrategy: this.fileStrategy,
userId: this.userId,
URL: imageUrl,
fileName: imageName,
basePath: 'images',
context: FileContext.image_generation,
tenantId: this.tenantId,
req: this.retentionRequest,
});
logger.debug('[FluxAPI] Finetuned image saved to path:', result.filepath);
this.result = this.returnMetadata ? result : this.wrapInMarkdown(result.filepath);
return this.returnValue(this.result);
} catch (error) {
const details = this.getDetails(error?.message ?? 'No additional error details.');
logger.error('Error while saving the finetuned image:', details);
return this.returnValue(`Failed to save the finetuned image locally. ${details}`);
}
}
}
module.exports = FluxAPI;
@@ -0,0 +1,476 @@
const path = require('path');
const sharp = require('sharp');
const { v4 } = require('uuid');
const { GoogleGenAI } = require('@google/genai');
const { logger } = require('@librechat/data-schemas');
const { tool } = require('@librechat/agents/langchain/tools');
const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
const {
geminiToolkit,
loadServiceKey,
getBalanceConfig,
getEnvProxyDispatcher,
getTransactionsConfig,
} = require('@librechat/api');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { spendTokens, getFiles } = require('~/models');
/**
* Configure proxy support for Google APIs
* This wraps globalThis.fetch to add a proxy dispatcher only for googleapis.com URLs
* This is necessary because @google/genai SDK doesn't support custom fetch or httpOptions.dispatcher
*/
const googleApiProxyDispatcher = getEnvProxyDispatcher();
if (googleApiProxyDispatcher) {
const originalFetch = globalThis.fetch;
globalThis.fetch = function (url, options = {}) {
const urlString = url.toString();
if (urlString.includes('googleapis.com')) {
options = { ...options, dispatcher: googleApiProxyDispatcher };
}
return originalFetch.call(this, url, options);
};
}
/**
* Get the default service key file path (consistent with main Google endpoint)
* @returns {string} - The default path to the service key file
*/
function getDefaultServiceKeyPath() {
return (
process.env.GOOGLE_SERVICE_KEY_FILE || path.join(process.cwd(), 'api', 'data', 'auth.json')
);
}
const displayMessage =
"Gemini displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* Replaces unwanted characters from the input string
* @param {string} inputString - The input string to process
* @returns {string} - The processed string
*/
function replaceUnwantedChars(inputString) {
return (
inputString
?.replace(/\r\n|\r|\n/g, ' ')
.replace(/"/g, '')
.trim() || ''
);
}
/**
* Convert image buffer to target format if needed
* @param {Buffer} inputBuffer - The input image buffer
* @param {string} targetFormat - The target format (png, jpeg, webp)
* @returns {Promise<{buffer: Buffer, format: string}>} - Converted buffer and format
*/
async function convertImageFormat(inputBuffer, targetFormat) {
const metadata = await sharp(inputBuffer).metadata();
const currentFormat = metadata.format;
// Normalize format names (jpg -> jpeg)
const normalizedTarget = targetFormat === 'jpg' ? 'jpeg' : targetFormat.toLowerCase();
const normalizedCurrent = currentFormat === 'jpg' ? 'jpeg' : currentFormat;
// If already in target format, return as-is
if (normalizedCurrent === normalizedTarget) {
return { buffer: inputBuffer, format: normalizedTarget };
}
// Convert to target format
const convertedBuffer = await sharp(inputBuffer).toFormat(normalizedTarget).toBuffer();
return { buffer: convertedBuffer, format: normalizedTarget };
}
/**
* Initialize Gemini client (supports both Gemini API and Vertex AI)
* Priority: API key (from options, resolved by loadAuthValues) > Vertex AI service account
* @param {Object} options - Initialization options
* @param {string} [options.GEMINI_API_KEY] - Gemini API key (resolved by loadAuthValues)
* @param {string} [options.GOOGLE_KEY] - Google API key (resolved by loadAuthValues)
* @returns {Promise<GoogleGenAI>} - The initialized client
*/
async function initializeGeminiClient(options = {}) {
const geminiKey = options.GEMINI_API_KEY;
if (geminiKey) {
logger.debug('[GeminiImageGen] Using Gemini API with GEMINI_API_KEY');
return new GoogleGenAI({ apiKey: geminiKey });
}
const googleKey = options.GOOGLE_KEY;
if (googleKey) {
logger.debug('[GeminiImageGen] Using Gemini API with GOOGLE_KEY');
return new GoogleGenAI({ apiKey: googleKey });
}
logger.debug('[GeminiImageGen] Using Vertex AI with service account');
const credentialsPath = getDefaultServiceKeyPath();
const serviceKey = await loadServiceKey(credentialsPath);
if (!serviceKey || !serviceKey.project_id) {
throw new Error(
'Gemini Image Generation requires one of: user-provided API key, GEMINI_API_KEY or GOOGLE_KEY env var, or a valid Google service account. ' +
`Service account file not found or invalid at: ${credentialsPath}`,
);
}
return new GoogleGenAI({
vertexai: true,
project: serviceKey.project_id,
location: process.env.GOOGLE_CLOUD_LOCATION || process.env.GOOGLE_LOC || 'global',
googleAuthOptions: { credentials: serviceKey },
});
}
/**
* Convert image files to Gemini inline data format
* @param {Object} params - Parameters
* @returns {Promise<Array>} - Array of inline data objects
*/
async function convertImagesToInlineData({ imageFiles, image_ids, req, fileStrategy }) {
if (!image_ids || image_ids.length === 0) {
return [];
}
const streamMethods = {};
const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));
const orderedFiles = new Array(image_ids.length);
const idsToFetch = [];
const indexOfMissing = Object.create(null);
for (let i = 0; i < image_ids.length; i++) {
const id = image_ids[i];
const file = requestFilesMap[id];
if (file) {
orderedFiles[i] = file;
} else {
idsToFetch.push(id);
indexOfMissing[id] = i;
}
}
if (idsToFetch.length && req?.user?.id) {
const fetchedFiles = await getFiles(
{
user: req.user.id,
file_id: { $in: idsToFetch },
height: { $exists: true },
width: { $exists: true },
},
{},
{},
);
for (const file of fetchedFiles) {
requestFilesMap[file.file_id] = file;
orderedFiles[indexOfMissing[file.file_id]] = file;
}
}
const inlineDataArray = [];
for (const imageFile of orderedFiles) {
if (!imageFile) continue;
try {
const source = imageFile.source || fileStrategy;
if (!source) continue;
let getDownloadStream = streamMethods[source];
if (!getDownloadStream) {
({ getDownloadStream } = getStrategyFunctions(source));
streamMethods[source] = getDownloadStream;
}
if (!getDownloadStream) continue;
const stream = await getDownloadStream(req, imageFile.filepath);
if (!stream) continue;
const chunks = [];
for await (const chunk of stream) {
chunks.push(chunk);
}
const buffer = Buffer.concat(chunks);
const base64Data = buffer.toString('base64');
const mimeType = imageFile.type || 'image/png';
inlineDataArray.push({
inlineData: { mimeType, data: base64Data },
});
} catch (error) {
logger.error('[GeminiImageGen] Error processing image:', imageFile.file_id, error);
}
}
return inlineDataArray;
}
/**
* Check for safety blocks in API response
* @param {Object} response - The API response
* @returns {Object|null} - Safety block info or null
*/
function checkForSafetyBlock(response) {
if (!response?.candidates?.length) {
return { reason: 'NO_CANDIDATES', message: 'No candidates returned' };
}
const candidate = response.candidates[0];
const finishReason = candidate.finishReason;
if (finishReason === 'SAFETY' || finishReason === 'PROHIBITED_CONTENT') {
return { reason: finishReason, message: 'Content blocked by safety filters' };
}
if (finishReason === 'RECITATION') {
return { reason: finishReason, message: 'Content blocked due to recitation concerns' };
}
if (candidate.safetyRatings) {
for (const rating of candidate.safetyRatings) {
if (rating.probability === 'HIGH' || rating.blocked === true) {
return {
reason: 'SAFETY_RATING',
message: `Blocked due to ${rating.category}`,
category: rating.category,
};
}
}
}
return null;
}
/**
* Record token usage for balance tracking
* @param {Object} params - Parameters
* @param {Object} params.usageMetadata - The usage metadata from API response
* @param {Object} params.req - The request object
* @param {string} params.userId - The user ID
* @param {string} params.conversationId - The conversation ID
* @param {string} params.model - The model name
* @param {string} [params.messageId] - The response message ID for transaction correlation
*/
async function recordTokenUsage({ usageMetadata, req, userId, conversationId, model, messageId }) {
if (!usageMetadata) {
logger.debug('[GeminiImageGen] No usage metadata available for balance tracking');
return;
}
const appConfig = req?.config;
const balance = getBalanceConfig(appConfig);
const transactions = getTransactionsConfig(appConfig);
// Skip if neither balance nor transactions are enabled
if (!balance?.enabled && transactions?.enabled === false) {
return;
}
const promptTokens = usageMetadata.prompt_token_count || usageMetadata.promptTokenCount || 0;
const completionTokens =
usageMetadata.candidates_token_count || usageMetadata.candidatesTokenCount || 0;
if (promptTokens === 0 && completionTokens === 0) {
logger.debug('[GeminiImageGen] No tokens to record');
return;
}
logger.debug('[GeminiImageGen] Recording token usage:', {
promptTokens,
completionTokens,
model,
conversationId,
});
try {
await spendTokens(
{
user: userId,
model,
messageId,
conversationId,
context: 'image_generation',
balance,
transactions,
},
{
promptTokens,
completionTokens,
},
);
} catch (error) {
logger.error('[GeminiImageGen] Error recording token usage:', error);
}
}
/**
* Creates Gemini Image Generation tool
* @param {Object} fields - Configuration fields
* @returns {ReturnType<tool>} - The image generation tool
*/
function createGeminiImageTool(fields = {}) {
const override = fields.override ?? false;
if (!override && !fields.isAgent) {
throw new Error('This tool is only available for agents.');
}
const { req, imageFiles = [], userId, fileStrategy, GEMINI_API_KEY, GOOGLE_KEY } = fields;
const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
const geminiImageGenTool = tool(
async ({ prompt, image_ids, aspectRatio, imageSize }, runnableConfig) => {
if (!prompt) {
throw new Error('Missing required field: prompt');
}
logger.debug('[GeminiImageGen] Generating image', { aspectRatio, imageSize });
let ai;
try {
ai = await initializeGeminiClient({
GEMINI_API_KEY,
GOOGLE_KEY,
});
} catch (error) {
logger.error('[GeminiImageGen] Failed to initialize client:', error);
return [
[{ type: ContentTypes.TEXT, text: `Failed to initialize Gemini: ${error.message}` }],
{ content: [], file_ids: [] },
];
}
const contents = [{ text: replaceUnwantedChars(prompt) }];
if (image_ids?.length > 0) {
const contextImages = await convertImagesToInlineData({
imageFiles,
image_ids,
req,
fileStrategy,
});
contents.push(...contextImages);
logger.debug('[GeminiImageGen] Added', contextImages.length, 'context images');
}
let apiResponse;
const geminiModel = process.env.GEMINI_IMAGE_MODEL || 'gemini-2.5-flash-image';
const config = {
responseModalities: ['TEXT', 'IMAGE'],
};
const supportsImageSize = !geminiModel.includes('gemini-2.5-flash-image');
if (aspectRatio || (imageSize && supportsImageSize)) {
config.imageConfig = {};
if (aspectRatio) {
config.imageConfig.aspectRatio = aspectRatio;
}
if (imageSize && supportsImageSize) {
config.imageConfig.imageSize = imageSize;
}
}
let derivedSignal = null;
let abortHandler = null;
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = () => logger.debug('[GeminiImageGen] Image generation aborted');
derivedSignal.addEventListener('abort', abortHandler, { once: true });
config.abortSignal = derivedSignal;
}
try {
apiResponse = await ai.models.generateContent({
model: geminiModel,
contents,
config,
});
} catch (error) {
logger.error('[GeminiImageGen] API error:', error);
return [
[{ type: ContentTypes.TEXT, text: `Image generation failed: ${error.message}` }],
{ content: [], file_ids: [] },
];
} finally {
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
const safetyBlock = checkForSafetyBlock(apiResponse);
if (safetyBlock) {
logger.warn('[GeminiImageGen] Safety block:', safetyBlock);
const errorMsg = 'Image blocked by content safety filters. Please try different content.';
return [[{ type: ContentTypes.TEXT, text: errorMsg }], { content: [], file_ids: [] }];
}
const rawImageData = apiResponse.candidates?.[0]?.content?.parts?.find((p) => p.inlineData)
?.inlineData?.data;
if (!rawImageData) {
logger.warn('[GeminiImageGen] No image data in response');
return [
[{ type: ContentTypes.TEXT, text: 'No image was generated. Please try again.' }],
{ content: [], file_ids: [] },
];
}
const rawBuffer = Buffer.from(rawImageData, 'base64');
const { buffer: convertedBuffer, format: outputFormat } = await convertImageFormat(
rawBuffer,
imageOutputType,
);
const imageData = convertedBuffer.toString('base64');
const mimeType = outputFormat === 'jpeg' ? 'image/jpeg' : `image/${outputFormat}`;
const dataUrl = `data:${mimeType};base64,${imageData}`;
const file_ids = [v4()];
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: { url: dataUrl },
},
];
const textResponse = [
{
type: ContentTypes.TEXT,
text:
displayMessage +
`\n\ngenerated_image_id: "${file_ids[0]}"` +
(image_ids?.length > 0 ? `\nreferenced_image_ids: ["${image_ids.join('", "')}"]` : ''),
},
];
const conversationId = runnableConfig?.configurable?.thread_id;
const messageId =
runnableConfig?.configurable?.run_id ??
runnableConfig?.configurable?.requestBody?.messageId;
recordTokenUsage({
usageMetadata: apiResponse.usageMetadata,
req,
userId,
messageId,
conversationId,
model: geminiModel,
}).catch((error) => {
logger.error('[GeminiImageGen] Failed to record token usage:', error);
});
return [textResponse, { content, file_ids }];
},
{
...geminiToolkit.gemini_image_gen,
responseFormat: 'content_and_artifact',
},
);
return geminiImageGenTool;
}
// Export both for compatibility
module.exports = createGeminiImageTool;
module.exports.createGeminiImageTool = createGeminiImageTool;
@@ -0,0 +1,79 @@
const { Tool } = require('@librechat/agents/langchain/tools');
const { getEnvironmentVariable } = require('@librechat/agents/langchain/utils/env');
const googleSearchJsonSchema = {
type: 'object',
properties: {
query: {
type: 'string',
minLength: 1,
description: 'The search query string.',
},
max_results: {
type: 'integer',
minimum: 1,
maximum: 10,
description: 'The maximum number of search results to return. Defaults to 5.',
},
},
required: ['query'],
};
class GoogleSearchResults extends Tool {
static lc_name() {
return 'google';
}
static get jsonSchema() {
return googleSearchJsonSchema;
}
constructor(fields = {}) {
super(fields);
this.name = 'google';
this.envVarApiKey = 'GOOGLE_SEARCH_API_KEY';
this.envVarSearchEngineId = 'GOOGLE_CSE_ID';
this.override = fields.override ?? false;
this.apiKey = fields[this.envVarApiKey] ?? getEnvironmentVariable(this.envVarApiKey);
this.searchEngineId =
fields[this.envVarSearchEngineId] ?? getEnvironmentVariable(this.envVarSearchEngineId);
if (!this.override && (!this.apiKey || !this.searchEngineId)) {
throw new Error(
`Missing ${this.envVarApiKey} or ${this.envVarSearchEngineId} environment variable.`,
);
}
this.kwargs = fields?.kwargs ?? {};
this.name = 'google';
this.description =
'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.';
this.schema = googleSearchJsonSchema;
}
async _call(input) {
const { query, max_results = 5 } = input;
const response = await fetch(
`https://www.googleapis.com/customsearch/v1?key=${this.apiKey}&cx=${
this.searchEngineId
}&q=${encodeURIComponent(query)}&num=${max_results}`,
{
method: 'GET',
headers: {
'Content-Type': 'application/json',
},
},
);
const json = await response.json();
if (!response.ok) {
throw new Error(`Request failed with status ${response.status}: ${json.error.message}`);
}
return JSON.stringify(json);
}
}
module.exports = GoogleSearchResults;
@@ -0,0 +1,415 @@
const axios = require('axios');
const { v4 } = require('uuid');
const OpenAI = require('openai');
const FormData = require('form-data');
const { logger } = require('@librechat/data-schemas');
const { tool } = require('@librechat/agents/langchain/tools');
const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
const {
logAxiosError,
oaiToolkit,
extractBaseURL,
getProxyDispatcher,
applyAxiosProxyConfig,
} = require('@librechat/api');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { getFiles } = require('~/models');
const displayMessage =
"The tool displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* Replaces unwanted characters from the input string
* @param {string} inputString - The input string to process
* @returns {string} - The processed string
*/
function replaceUnwantedChars(inputString) {
return inputString
.replace(/\r\n|\r|\n/g, ' ')
.replace(/"/g, '')
.trim();
}
function returnValue(value) {
if (typeof value === 'string') {
return [value, {}];
} else if (typeof value === 'object') {
if (Array.isArray(value)) {
return value;
}
return [displayMessage, value];
}
return value;
}
function createAbortHandler() {
return function () {
logger.debug('[ImageGenOAI] Image generation aborted');
};
}
/**
* Creates OpenAI Image tools (generation and editing)
* @param {Object} fields - Configuration fields
* @param {ServerRequest} fields.req - Whether the tool is being used in an agent context
* @param {boolean} fields.isAgent - Whether the tool is being used in an agent context
* @param {string} fields.IMAGE_GEN_OAI_API_KEY - The OpenAI API key
* @param {boolean} [fields.override] - Whether to override the API key check, necessary for app initialization
* @param {MongoFile[]} [fields.imageFiles] - The images to be used for editing
* @param {string} [fields.imageOutputType] - The image output type configuration
* @param {string} [fields.fileStrategy] - The file storage strategy
* @returns {Array<ReturnType<tool>>} - Array of image tools
*/
function createOpenAIImageTools(fields = {}) {
/** @type {boolean} Used to initialize the Tool without necessary variables. */
const override = fields.override ?? false;
/** @type {boolean} */
if (!override && !fields.isAgent) {
throw new Error('This tool is only available for agents.');
}
const { req } = fields;
const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
const appFileStrategy = fields.fileStrategy;
const getApiKey = () => {
const apiKey = process.env.IMAGE_GEN_OAI_API_KEY ?? '';
if (!apiKey && !override) {
throw new Error('Missing IMAGE_GEN_OAI_API_KEY environment variable.');
}
return apiKey;
};
let apiKey = fields.IMAGE_GEN_OAI_API_KEY ?? getApiKey();
const closureConfig = { apiKey };
const imageModel = process.env.IMAGE_GEN_OAI_MODEL || 'gpt-image-1';
let baseURL = 'https://api.openai.com/v1/';
if (!override && process.env.IMAGE_GEN_OAI_BASEURL) {
baseURL = extractBaseURL(process.env.IMAGE_GEN_OAI_BASEURL);
closureConfig.baseURL = baseURL;
}
// Note: Azure may not yet support the latest image generation models
if (
!override &&
process.env.IMAGE_GEN_OAI_AZURE_API_VERSION &&
process.env.IMAGE_GEN_OAI_BASEURL
) {
baseURL = process.env.IMAGE_GEN_OAI_BASEURL;
closureConfig.baseURL = baseURL;
closureConfig.defaultQuery = { 'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION };
closureConfig.defaultHeaders = {
'api-key': process.env.IMAGE_GEN_OAI_API_KEY,
'Content-Type': 'application/json',
};
closureConfig.apiKey = process.env.IMAGE_GEN_OAI_API_KEY;
}
const imageFiles = fields.imageFiles ?? [];
/**
* Image Generation Tool
*/
const imageGenTool = tool(
async (
{
prompt,
background = 'auto',
n = 1,
output_compression = 100,
quality = 'auto',
size = 'auto',
},
runnableConfig,
) => {
if (!prompt) {
throw new Error('Missing required field: prompt');
}
const clientConfig = { ...closureConfig };
const proxyDispatcher = getProxyDispatcher();
if (proxyDispatcher) {
clientConfig.fetchOptions = {
dispatcher: proxyDispatcher,
};
}
/** @type {OpenAI} */
const openai = new OpenAI(clientConfig);
let output_format = imageOutputType;
if (
background === 'transparent' &&
output_format !== EImageOutputType.PNG &&
output_format !== EImageOutputType.WEBP
) {
logger.warn(
'[ImageGenOAI] Transparent background requires PNG or WebP format, defaulting to PNG',
);
output_format = EImageOutputType.PNG;
}
let resp;
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
resp = await openai.images.generate(
{
model: imageModel,
prompt: replaceUnwantedChars(prompt),
n: Math.min(Math.max(1, n), 10),
background,
output_format,
output_compression:
output_format === EImageOutputType.WEBP || output_format === EImageOutputType.JPEG
? output_compression
: undefined,
quality,
size,
},
{
signal: derivedSignal,
},
);
} catch (error) {
const message = '[image_gen_oai] Problem generating the image:';
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
Error Message: ${error.message}`);
} finally {
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
if (!resp) {
return returnValue(
'Something went wrong when trying to generate the image. The OpenAI API may be unavailable',
);
}
// For gpt-image-1, the response contains base64-encoded images
// TODO: handle cost in `resp.usage`
const base64Image = resp.data[0].b64_json;
if (!base64Image) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/${output_format};base64,${base64Image}`,
},
},
];
const file_ids = [v4()];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage + `\n\ngenerated_image_id: "${file_ids[0]}"`,
},
];
return [response, { content, file_ids }];
},
oaiToolkit.image_gen_oai,
);
/**
* Image Editing Tool
*/
const imageEditTool = tool(
async ({ prompt, image_ids, quality = 'auto', size = 'auto' }, runnableConfig) => {
if (!prompt) {
throw new Error('Missing required field: prompt');
}
const clientConfig = { ...closureConfig };
const proxyDispatcher = getProxyDispatcher();
if (proxyDispatcher) {
clientConfig.fetchOptions = {
dispatcher: proxyDispatcher,
};
}
const formData = new FormData();
formData.append('model', imageModel);
formData.append('prompt', replaceUnwantedChars(prompt));
// TODO: `mask` support
// TODO: more than 1 image support
// formData.append('n', n.toString());
formData.append('quality', quality);
formData.append('size', size);
/** @type {Record<FileSources, undefined | NodeStreamDownloader<File>>} */
const streamMethods = {};
const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));
const orderedFiles = new Array(image_ids.length);
const idsToFetch = [];
const indexOfMissing = Object.create(null);
for (let i = 0; i < image_ids.length; i++) {
const id = image_ids[i];
const file = requestFilesMap[id];
if (file) {
orderedFiles[i] = file;
} else {
idsToFetch.push(id);
indexOfMissing[id] = i;
}
}
if (idsToFetch.length) {
const fetchedFiles = await getFiles(
{
user: req.user.id,
file_id: { $in: idsToFetch },
height: { $exists: true },
width: { $exists: true },
},
{},
{},
);
for (const file of fetchedFiles) {
requestFilesMap[file.file_id] = file;
orderedFiles[indexOfMissing[file.file_id]] = file;
}
}
for (const imageFile of orderedFiles) {
if (!imageFile) {
continue;
}
/** @type {NodeStream<File>} */
let stream;
/** @type {NodeStreamDownloader<File>} */
let getDownloadStream;
const source = imageFile.source || appFileStrategy;
if (!source) {
throw new Error('No source found for image file');
}
if (streamMethods[source]) {
getDownloadStream = streamMethods[source];
} else {
({ getDownloadStream } = getStrategyFunctions(source));
streamMethods[source] = getDownloadStream;
}
if (!getDownloadStream) {
throw new Error(`No download stream method found for source: ${source}`);
}
stream = await getDownloadStream(req, imageFile.filepath);
if (!stream) {
throw new Error('Failed to get download stream for image file');
}
formData.append('image[]', stream, {
filename: imageFile.filename,
contentType: imageFile.type,
});
}
/** @type {import('axios').RawAxiosHeaders} */
let headers = {
...formData.getHeaders(),
};
if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
headers['api-key'] = apiKey;
} else {
headers['Authorization'] = `Bearer ${apiKey}`;
}
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
/** @type {import('axios').AxiosRequestConfig} */
const axiosConfig = {
headers,
...clientConfig,
signal: derivedSignal,
baseURL,
};
applyAxiosProxyConfig(axiosConfig, baseURL);
if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
axiosConfig.params = {
'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION,
...axiosConfig.params,
};
}
const response = await axios.post('/images/edits', formData, axiosConfig);
if (!response.data || !response.data.data || !response.data.data.length) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const base64Image = response.data.data[0].b64_json;
if (!base64Image) {
return returnValue(
'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
);
}
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/${imageOutputType};base64,${base64Image}`,
},
},
];
const file_ids = [v4()];
const textResponse = [
{
type: ContentTypes.TEXT,
text:
displayMessage +
`\n\ngenerated_image_id: "${file_ids[0]}"\nreferenced_image_ids: ["${image_ids.join('", "')}"]`,
},
];
return [textResponse, { content, file_ids }];
} catch (error) {
const message = '[image_edit_oai] Problem editing the image:';
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
Error Message: ${error.message || 'Unknown error'}`);
} finally {
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
},
oaiToolkit.image_edit_oai,
);
return [imageGenTool, imageEditTool];
}
module.exports = createOpenAIImageTools;
@@ -0,0 +1,355 @@
const fetch = require('node-fetch');
const { Tool } = require('@librechat/agents/langchain/tools');
const { getEnvironmentVariable } = require('@librechat/agents/langchain/utils/env');
const openWeatherJsonSchema = {
type: 'object',
properties: {
action: {
type: 'string',
enum: ['help', 'current_forecast', 'timestamp', 'daily_aggregation', 'overview'],
description: 'The action to perform',
},
city: {
type: 'string',
description: 'City name for geocoding if lat/lon not provided',
},
lat: {
type: 'number',
description: 'Latitude coordinate',
},
lon: {
type: 'number',
description: 'Longitude coordinate',
},
exclude: {
type: 'string',
description: 'Parts to exclude from the response',
},
units: {
type: 'string',
enum: ['Celsius', 'Kelvin', 'Fahrenheit'],
description: 'Temperature units',
},
lang: {
type: 'string',
description: 'Language code',
},
date: {
type: 'string',
description: 'Date in YYYY-MM-DD format for timestamp and daily_aggregation',
},
tz: {
type: 'string',
description: 'Timezone',
},
},
required: ['action'],
};
/**
* Map user-friendly units to OpenWeather units.
* Defaults to Celsius if not specified.
*/
function mapUnitsToOpenWeather(unit) {
if (!unit) {
return 'metric';
} // Default to Celsius
switch (unit) {
case 'Celsius':
return 'metric';
case 'Kelvin':
return 'standard';
case 'Fahrenheit':
return 'imperial';
default:
return 'metric'; // fallback
}
}
/**
* Recursively round temperature fields in the API response.
*/
function roundTemperatures(obj) {
const tempKeys = new Set([
'temp',
'feels_like',
'dew_point',
'day',
'min',
'max',
'night',
'eve',
'morn',
'afternoon',
'morning',
'evening',
]);
if (Array.isArray(obj)) {
return obj.map((item) => roundTemperatures(item));
} else if (obj && typeof obj === 'object') {
for (const key of Object.keys(obj)) {
const value = obj[key];
if (value && typeof value === 'object') {
obj[key] = roundTemperatures(value);
} else if (typeof value === 'number' && tempKeys.has(key)) {
obj[key] = Math.round(value);
}
}
}
return obj;
}
class OpenWeather extends Tool {
name = 'open_weather';
description =
'Provides weather data from OpenWeather One Call API 3.0. ' +
'Actions: help, current_forecast, timestamp, daily_aggregation, overview. ' +
'If lat/lon not provided, specify "city" for geocoding. ' +
'Units: "Celsius", "Kelvin", or "Fahrenheit" (default: Celsius). ' +
'For timestamp action, use "date" in YYYY-MM-DD format.';
schema = openWeatherJsonSchema;
static get jsonSchema() {
return openWeatherJsonSchema;
}
constructor(fields = {}) {
super();
this.envVar = 'OPENWEATHER_API_KEY';
this.override = fields.override ?? false;
this.apiKey = fields[this.envVar] ?? this.getApiKey();
}
getApiKey() {
const key = getEnvironmentVariable(this.envVar);
if (!key && !this.override) {
throw new Error(`Missing ${this.envVar} environment variable.`);
}
return key;
}
async geocodeCity(city) {
const geocodeUrl = `https://api.openweathermap.org/geo/1.0/direct?q=${encodeURIComponent(
city,
)}&limit=1&appid=${this.apiKey}`;
const res = await fetch(geocodeUrl);
const data = await res.json();
if (!res.ok || !Array.isArray(data) || data.length === 0) {
throw new Error(`Could not find coordinates for city: ${city}`);
}
return { lat: data[0].lat, lon: data[0].lon };
}
convertDateToUnix(dateStr) {
const parts = dateStr.split('-');
if (parts.length !== 3) {
throw new Error('Invalid date format. Expected YYYY-MM-DD.');
}
const year = parseInt(parts[0], 10);
const month = parseInt(parts[1], 10);
const day = parseInt(parts[2], 10);
if (isNaN(year) || isNaN(month) || isNaN(day)) {
throw new Error('Invalid date format. Expected YYYY-MM-DD with valid numbers.');
}
const dateObj = new Date(Date.UTC(year, month - 1, day, 0, 0, 0));
if (isNaN(dateObj.getTime())) {
throw new Error('Invalid date provided. Cannot parse into a valid date.');
}
return Math.floor(dateObj.getTime() / 1000);
}
async _call(args) {
try {
const { action, city, lat, lon, exclude, units, lang, date, tz } = args;
const owmUnits = mapUnitsToOpenWeather(units);
if (action === 'help') {
return JSON.stringify(
{
title: 'OpenWeather One Call API 3.0 Help',
description: 'Guidance on using the OpenWeather One Call API 3.0.',
endpoints: {
current_and_forecast: {
endpoint: 'data/3.0/onecall',
data_provided: [
'Current weather',
'Minute forecast (1h)',
'Hourly forecast (48h)',
'Daily forecast (8 days)',
'Government weather alerts',
],
required_params: [['lat', 'lon'], ['city']],
optional_params: ['exclude', 'units (Celsius/Kelvin/Fahrenheit)', 'lang'],
usage_example: {
city: 'Knoxville, Tennessee',
units: 'Fahrenheit',
lang: 'en',
},
},
weather_for_timestamp: {
endpoint: 'data/3.0/onecall/timemachine',
data_provided: [
'Historical weather (since 1979-01-01)',
'Future forecast up to 4 days ahead',
],
required_params: [
['lat', 'lon', 'date (YYYY-MM-DD)'],
['city', 'date (YYYY-MM-DD)'],
],
optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang'],
usage_example: {
city: 'Knoxville, Tennessee',
date: '2020-03-04',
units: 'Fahrenheit',
lang: 'en',
},
},
daily_aggregation: {
endpoint: 'data/3.0/onecall/day_summary',
data_provided: [
'Aggregated weather data for a specific date (1979-01-02 to 1.5 years ahead)',
],
required_params: [
['lat', 'lon', 'date (YYYY-MM-DD)'],
['city', 'date (YYYY-MM-DD)'],
],
optional_params: ['units (Celsius/Kelvin/Fahrenheit)', 'lang', 'tz'],
usage_example: {
city: 'Knoxville, Tennessee',
date: '2020-03-04',
units: 'Celsius',
lang: 'en',
},
},
weather_overview: {
endpoint: 'data/3.0/onecall/overview',
data_provided: ['Human-readable weather summary (today/tomorrow)'],
required_params: [['lat', 'lon'], ['city']],
optional_params: ['date (YYYY-MM-DD)', 'units (Celsius/Kelvin/Fahrenheit)'],
usage_example: {
city: 'Knoxville, Tennessee',
date: '2024-05-13',
units: 'Celsius',
},
},
},
notes: [
'If lat/lon not provided, you can specify a city name and it will be geocoded.',
'For the timestamp action, provide a date in YYYY-MM-DD format instead of a Unix timestamp.',
'By default, temperatures are returned in Celsius.',
'You can specify units as Celsius, Kelvin, or Fahrenheit.',
'All temperatures are rounded to the nearest degree.',
],
errors: [
'400: Bad Request (missing/invalid params)',
'401: Unauthorized (check API key)',
'404: Not Found (no data or city)',
'429: Too many requests',
'5xx: Internal error',
],
},
null,
2,
);
}
let finalLat = lat;
let finalLon = lon;
// If lat/lon not provided but city is given, geocode it
if ((finalLat == null || finalLon == null) && city) {
const coords = await this.geocodeCity(city);
finalLat = coords.lat;
finalLon = coords.lon;
}
if (['current_forecast', 'timestamp', 'daily_aggregation', 'overview'].includes(action)) {
if (typeof finalLat !== 'number' || typeof finalLon !== 'number') {
return "Error: lat and lon are required and must be numbers for this action (or specify 'city').";
}
}
const baseUrl = 'https://api.openweathermap.org/data/3.0';
let endpoint = '';
const params = new URLSearchParams({ appid: this.apiKey, units: owmUnits });
let dt;
if (action === 'timestamp') {
if (!date) {
return "Error: For timestamp action, a 'date' in YYYY-MM-DD format is required.";
}
dt = this.convertDateToUnix(date);
}
if (action === 'daily_aggregation' && !date) {
return 'Error: date (YYYY-MM-DD) is required for daily_aggregation action.';
}
switch (action) {
case 'current_forecast':
endpoint = '/onecall';
params.append('lat', String(finalLat));
params.append('lon', String(finalLon));
if (exclude) {
params.append('exclude', exclude);
}
if (lang) {
params.append('lang', lang);
}
break;
case 'timestamp':
endpoint = '/onecall/timemachine';
params.append('lat', String(finalLat));
params.append('lon', String(finalLon));
params.append('dt', String(dt));
if (lang) {
params.append('lang', lang);
}
break;
case 'daily_aggregation':
endpoint = '/onecall/day_summary';
params.append('lat', String(finalLat));
params.append('lon', String(finalLon));
params.append('date', date);
if (lang) {
params.append('lang', lang);
}
if (tz) {
params.append('tz', tz);
}
break;
case 'overview':
endpoint = '/onecall/overview';
params.append('lat', String(finalLat));
params.append('lon', String(finalLon));
if (date) {
params.append('date', date);
}
break;
default:
return `Error: Unknown action: ${action}`;
}
const url = `${baseUrl}${endpoint}?${params.toString()}`;
const response = await fetch(url);
const json = await response.json();
if (!response.ok) {
return `Error: OpenWeather API request failed with status ${response.status}: ${
json.message || JSON.stringify(json)
}`;
}
const roundedJson = roundTemperatures(json);
return JSON.stringify(roundedJson);
} catch (err) {
return `Error: ${err.message}`;
}
}
}
module.exports = OpenWeather;
@@ -0,0 +1,209 @@
// Generates image using stable diffusion webui's api (automatic1111)
const fs = require('fs');
const path = require('path');
const axios = require('axios');
const sharp = require('sharp');
const { v4: uuidv4 } = require('uuid');
const { logger } = require('@librechat/data-schemas');
const { Tool } = require('@librechat/agents/langchain/tools');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const { getBasePath } = require('@librechat/api');
const paths = require('~/config/paths');
const stableDiffusionJsonSchema = {
type: 'object',
properties: {
prompt: {
type: 'string',
description:
'Detailed keywords to describe the subject, using at least 7 keywords to accurately describe the image, separated by comma',
},
negative_prompt: {
type: 'string',
description:
'Keywords we want to exclude from the final image, using at least 7 keywords to accurately describe the image, separated by comma',
},
},
required: ['prompt', 'negative_prompt'],
};
const displayMessage =
"Stable Diffusion displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
class StableDiffusionAPI extends Tool {
constructor(fields) {
super();
/** @type {string} User ID */
this.userId = fields.userId;
/** @type {ServerRequest | undefined} Express Request object, only provided by ToolService */
this.req = fields.req;
/** @type {boolean} Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
/** @type {boolean} Necessary for output to contain all image metadata. */
this.returnMetadata = fields.returnMetadata ?? false;
/** @type {boolean} */
this.isAgent = fields.isAgent;
if (this.isAgent) {
/** Ensures LangChain maps [content, artifact] tuple to ToolMessage fields instead of serializing it into content. */
this.responseFormat = 'content_and_artifact';
}
if (fields.uploadImageBuffer) {
/** @type {uploadImageBuffer} Necessary for output to contain all image metadata. */
this.uploadImageBuffer = fields.uploadImageBuffer.bind(this);
}
this.name = 'stable-diffusion';
this.url = fields.SD_WEBUI_URL || this.getServerURL();
this.description_for_model = `// Generate images and visuals using text.
// Guidelines:
// - ALWAYS use {{"prompt": "7+ detailed keywords", "negative_prompt": "7+ detailed keywords"}} structure for queries.
// - ALWAYS include the markdown url in your final response to show the user: ![caption](${getBasePath()}/images/id.png)
// - Visually describe the moods, details, structures, styles, and/or proportions of the image. Remember, the focus is on visual attributes.
// - Craft your input by "showing" and not "telling" the imagery. Think in terms of what you'd want to see in a photograph or a painting.
// - Here's an example for generating a realistic portrait photo of a man:
// "prompt":"photo of a man in black clothes, half body, high detailed skin, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3"
// "negative_prompt":"semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, out of frame, low quality, ugly, mutation, deformed"
// - Generate images only once per human query unless explicitly requested by the user`;
this.description =
"You can generate images using text with 'stable-diffusion'. This tool is exclusively for visual content.";
this.schema = stableDiffusionJsonSchema;
}
static get jsonSchema() {
return stableDiffusionJsonSchema;
}
replaceNewLinesWithSpaces(inputString) {
return inputString.replace(/\r\n|\r|\n/g, ' ');
}
getMarkdownImageUrl(imageName) {
const imageUrl = path
.join(this.relativePath, this.userId, imageName)
.replace(/\\/g, '/')
.replace('public/', '');
return `![generated image](/${imageUrl})`;
}
returnValue(value) {
if (this.isAgent === true && typeof value === 'string') {
return [value, {}];
} else if (this.isAgent === true && typeof value === 'object') {
return [displayMessage, value];
}
return value;
}
getServerURL() {
const url = process.env.SD_WEBUI_URL || '';
if (!url && !this.override) {
throw new Error('Missing SD_WEBUI_URL environment variable.');
}
return url;
}
async _call(data) {
const url = this.url;
const { prompt, negative_prompt } = data;
const payload = {
prompt,
negative_prompt,
cfg_scale: 4.5,
steps: 22,
width: 1024,
height: 1024,
};
let generationResponse;
try {
generationResponse = await axios.post(`${url}/sdapi/v1/txt2img`, payload);
} catch (error) {
logger.error('[StableDiffusion] Error while generating image:', error);
return this.returnValue('Error making API request.');
}
const image = generationResponse.data.images[0];
/** @type {{ height: number, width: number, seed: number, infotexts: string[] }} */
let info = {};
try {
info = JSON.parse(generationResponse.data.info);
} catch (error) {
logger.error('[StableDiffusion] Error while getting image metadata:', error);
}
const file_id = uuidv4();
const imageName = `${file_id}.png`;
const { imageOutput: imageOutputPath, clientPath } = paths;
const filepath = path.join(imageOutputPath, this.userId, imageName);
this.relativePath = path.relative(clientPath, imageOutputPath);
if (!fs.existsSync(path.join(imageOutputPath, this.userId))) {
fs.mkdirSync(path.join(imageOutputPath, this.userId), { recursive: true });
}
try {
if (this.isAgent) {
const content = [
{
type: ContentTypes.IMAGE_URL,
image_url: {
url: `data:image/png;base64,${image}`,
},
},
];
const response = [
{
type: ContentTypes.TEXT,
text: displayMessage,
},
];
return [response, { content }];
}
const buffer = Buffer.from(image.split(',', 1)[0], 'base64');
if (this.returnMetadata && this.uploadImageBuffer && this.req) {
const file = await this.uploadImageBuffer({
req: this.req,
context: FileContext.image_generation,
resize: false,
metadata: {
buffer,
height: info.height,
width: info.width,
bytes: Buffer.byteLength(buffer),
filename: imageName,
type: 'image/png',
file_id,
},
});
const generationInfo = info.infotexts[0].split('\n').pop();
return {
...file,
prompt,
metadata: {
negative_prompt,
seed: info.seed,
info: generationInfo,
},
};
}
await sharp(buffer)
.withMetadata({
iptcpng: {
parameters: info.infotexts[0],
},
})
.toFile(filepath);
this.result = this.getMarkdownImageUrl(imageName);
} catch (error) {
logger.error('[StableDiffusion] Error while saving the image:', error);
}
return this.returnValue(this.result);
}
}
module.exports = StableDiffusionAPI;

Some files were not shown because too many files have changed in this diff Show More