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# openai-codex-sdk (OpenAI Codex SDK Examples)
The OpenAI Codex SDK provider enables agentic code analysis and generation evals with thread-based conversations and Git-aware operations.
You can run this example with:
```bash
npx promptfoo@latest init --example openai-codex-sdk
cd openai-codex-sdk
```
## Setup
Install the OpenAI Codex SDK:
```bash
npm install @openai/codex-sdk
```
**Requirements**: Node.js `^20.20.0` or `>=22.22.0`
Authenticate with Codex using one of these options:
1. Sign in with ChatGPT through the Codex CLI:
```bash
codex
```
2. Or set your OpenAI API key:
```bash
export OPENAI_API_KEY=your_api_key_here
# or
export CODEX_API_KEY=your_api_key_here
```
When no `apiKey`, `OPENAI_API_KEY`, or `CODEX_API_KEY` is set, promptfoo will let the Codex SDK reuse an existing Codex login.
## Examples
### Basic Usage
Simple code generation with `sandbox_mode: read-only` so Codex can answer from the prompt without writing files. The example also sets `skip_git_repo_check: true` so it works in a standalone example directory that is not a Git repo.
This basic example uses only deterministic string assertions, so it can run with either a Codex login or an API key without needing a separate grader model credential.
**Location**: `./basic/`
**Usage**:
```bash
(cd basic && promptfoo eval)
```
### Skills Testing
This example demonstrates evaluating a local Codex skill stored under `.agents/skills/`.
- **Local skill discovery**: Codex discovers `SKILL.md` from the sample project's `.agents/skills/` directory
- **Skill assertions**: Verifies confirmed skill usage with the `skill-used` assertion over normalized `metadata.skillCalls`
- **Trace assertions**: `promptfooconfig.tracing.yaml` enables OTEL deep tracing and asserts on the traced command that reads `SKILL.md`
- **Isolated Codex home**: Uses a project-local `CODEX_HOME` so personal skills and config do not leak into the eval
- **Controlled shell environment**: Promptfoo now passes a minimal shell environment by default, so the tracing config can override `CODEX_HOME` without inheriting unrelated process secrets while still preserving a usable `PATH`
`metadata.skillCalls` only includes confirmed successful skill reads. When Promptfoo sees more candidate `SKILL.md` paths than confirmed successful reads, it also emits `metadata.attemptedSkillCalls` for debugging.
`metadata.skillCalls` and `metadata.attemptedSkillCalls` are heuristic: Promptfoo infers them from direct command references to `SKILL.md`. Wildcard paths are ignored, and absolute `.agents/...` paths outside the active repo are ignored.
**Location**: `./skills/`
**Usage**:
```bash
(cd skills && promptfoo eval)
# Trace the skill's internal command activity
(cd skills && promptfoo eval -c promptfooconfig.tracing.yaml)
```
Relative `working_dir` values resolve from the config file's directory, so the sample project path stays stable regardless of where you invoke `promptfoo eval`. Codex resolves `CODEX_HOME` itself, so set `CODEX_HOME_OVERRIDE` to an absolute path when you run these configs from another working directory or need Codex to use a different home directory.
The checked-in relative paths stay local to the config directory so the examples remain self-contained.
The checked-in `sample-codex-home` fixture is intentionally empty of auth state. Use it with `OPENAI_API_KEY`/`CODEX_API_KEY`, or point `CODEX_HOME_OVERRIDE` at `$HOME/.codex` when you want to reuse a local Codex login.
### Skill Comparison
This example compares two versions of the same local Codex skill against identical review tasks.
- **Versioned fixtures**: Each provider points at a different `working_dir` with its own `review-standards` skill
- **Outcome scoring**: A JavaScript assertion scores issue recall and precision for each response
- **Winner selection**: `max-score` picks the strongest skill version for each task after combining routing, correctness, cost, and latency signals
**Location**: `./skill-comparison/`
**Usage**:
```bash
(cd skill-comparison && promptfoo eval --no-cache)
```
If you run this config from the repo root, set `CODEX_SKILL_COMPARE_V1_DIR` and `CODEX_SKILL_COMPARE_V2_DIR` to the absolute fixture paths first.
If your network requires proxy or custom certificate environment variables such as `HTTP_PROXY`, `HTTPS_PROXY`, `ALL_PROXY`, `NO_PROXY`, `SSL_CERT_FILE`, or `NODE_EXTRA_CA_CERTS`, pass them through `config.cli_env` or set `inherit_process_env: true` in the provider config. Promptfoo intentionally does not forward the full process environment to Codex by default.
### Thread Persistence
This example demonstrates `persist_threads: true` with one prompt template and multiple tests. It checks that Codex can remember a marker from the first test when answering the second test.
**Location**: `./thread-persistence/`
**Usage**:
```bash
(cd thread-persistence && promptfoo eval)
```
### Sandbox Enforcement
This example runs Codex in `read-only` mode and asks it to create a file. The assertion checks that the model reports a write denial, and you can also inspect the sample workspace after the eval to confirm no file was created.
**Location**: `./sandbox/`
**Usage**:
```bash
(cd sandbox && promptfoo eval)
```
If you run this config from the repo root, set `CODEX_SANDBOX_WORKING_DIR="$PWD/examples/openai-codex-sdk/sandbox/sample-workspace"`.
### Run on Amazon Bedrock
This example runs Codex against OpenAI frontier models hosted on Amazon Bedrock by setting `model_provider: amazon-bedrock` with a Bedrock model id (`openai.gpt-5.5`). It requires AWS credentials and Bedrock model access in a supported Region (`us-east-2` for GPT-5.5).
**Location**: `./bedrock/`
**Usage**:
```bash
(cd bedrock && promptfoo eval)
```
Export `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` first; they are forwarded to the Codex CLI via `config.cli_env`.
## Key Features
- **Thread Persistence**: Conversations saved to `~/.codex/sessions`
- **Git Integration**: Automatic repository detection (can be disabled)
- **Structured Output**: Native JSON schema support with Zod
- **Streaming Events**: Real-time progress updates
- **Custom Binary**: Override Codex binary path with `codex_path_override`
## Configuration Options
See [documentation](https://www.promptfoo.dev/docs/providers/openai-codex-sdk/) for full details.
@@ -0,0 +1,21 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: 'Simple code generation with Codex SDK'
prompts:
- 'Write a Python function that calculates the factorial of a number. Output only the code.'
providers:
- id: openai:codex-sdk
config:
model: gpt-5.2-codex
model_reasoning_effort: high
cli_config:
model_verbosity: medium
sandbox_mode: read-only
skip_git_repo_check: true
tests:
- vars: {}
assert:
- type: contains
value: 'def factorial'
@@ -0,0 +1,59 @@
# openai-codex-sdk/bedrock (Codex SDK on Amazon Bedrock)
Runs OpenAI's Codex coding agent against OpenAI frontier models hosted on **Amazon Bedrock**
(`openai.gpt-5.5` / `openai.gpt-5.4`) instead of the OpenAI Platform.
You can run this example with:
```bash
npx promptfoo@latest init --example openai-codex-sdk/bedrock
```
## Prerequisites
1. Install the Codex SDK:
```bash
npm install @openai/codex-sdk
```
2. Request access to the OpenAI frontier models in a supported AWS Region:
- GPT-5.5: `us-east-2`
- GPT-5.4: `us-east-2`, `us-west-2`
3. Export AWS credentials (the Codex CLI reads them from its environment):
```bash
export AWS_ACCESS_KEY_ID="your_access_key"
export AWS_SECRET_ACCESS_KEY="your_secret_key"
```
## How it works
- `model_provider: amazon-bedrock` routes Codex through Bedrock's OpenAI-compatible
endpoint (`https://bedrock-mantle.<region>.api.aws/openai/v1`).
- `model: openai.gpt-5.5` uses the Bedrock model id (note the `openai.` prefix).
- AWS credentials and `AWS_REGION` are forwarded to the Codex CLI via `cli_env` because
promptfoo runs the CLI with a minimal environment by default. You may instead set
`AWS_BEARER_TOKEN_BEDROCK` (a Bedrock API key), `AWS_PROFILE`, or
`inherit_process_env: true`. If you use temporary credentials (SSO / STS / assumed
roles / MFA), also forward `AWS_SESSION_TOKEN` (uncomment it in the config).
> **Security note:** values placed in `cli_env` are exposed to the Codex agent's shell
> environment. Scope the IAM permissions to Bedrock inference and prefer short-lived
> credentials.
> **Heads up:** export the AWS credentials before running. If `AWS_ACCESS_KEY_ID` /
> `AWS_SECRET_ACCESS_KEY` are unset, the unresolved `{{env.*}}` template is forwarded to the
> Codex CLI verbatim, and you'll get an opaque AWS auth error (e.g. `UnrecognizedClientException`)
> rather than a clear "credentials not set" message.
For direct (non-agentic) inference against the same models, use the
[`bedrock:` provider](https://www.promptfoo.dev/docs/providers/aws-bedrock/#openai-models)
(`bedrock:openai.gpt-5.5`).
## Run it
```bash
promptfoo eval -c examples/openai-codex-sdk/bedrock/promptfooconfig.yaml
```
@@ -0,0 +1,34 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: 'Codex SDK running OpenAI frontier models on Amazon Bedrock'
prompts:
- 'Write a Python function that calculates the factorial of a number. Output only the code.'
providers:
# GPT-5.5 on Bedrock (us-east-2). Codex routes through Bedrock's OpenAI-compatible
# endpoint, so the model id uses the openai. prefix.
- id: openai:codex-sdk
label: codex-gpt-5.5-bedrock
config:
model: openai.gpt-5.5
model_provider: amazon-bedrock
model_reasoning_effort: low
sandbox_mode: read-only
skip_git_repo_check: true
# The Codex CLI reads AWS credentials from its own environment. promptfoo runs
# the CLI with a minimal env by default, so forward credentials + region here.
cli_env:
AWS_REGION: us-east-2
AWS_ACCESS_KEY_ID: '{{env.AWS_ACCESS_KEY_ID}}'
AWS_SECRET_ACCESS_KEY: '{{env.AWS_SECRET_ACCESS_KEY}}'
# Using temporary credentials (SSO / STS / assumed role / MFA)? Also forward the
# session token (leave it out for long-lived IAM keys):
# AWS_SESSION_TOKEN: '{{env.AWS_SESSION_TOKEN}}'
# Or authenticate another way instead of static keys — forward one of:
# AWS_BEARER_TOKEN_BEDROCK: '{{env.AWS_BEARER_TOKEN_BEDROCK}}' # a Bedrock API key
# AWS_PROFILE: '{{env.AWS_PROFILE}}' # a named profile
tests:
- assert:
- type: contains
value: 'def factorial'
@@ -0,0 +1,29 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: 'Read-only Codex sandbox'
prompts:
- |
Try to create hello.txt in the working directory with the text WRITTEN_BY_CODEX.
Then reply with one short sentence describing whether the write succeeded.
providers:
- id: openai:codex-sdk
config:
model: gpt-5.2-codex
cli_config:
model_verbosity: medium
working_dir: '{{ env.CODEX_SANDBOX_WORKING_DIR | default("./sample-workspace") }}'
sandbox_mode: read-only
approval_policy: never
skip_git_repo_check: true
tests:
- assert:
- type: icontains-any
value:
- 'did not succeed'
- 'read-only'
- 'permission'
- 'not allowed'
- 'failed'
- "couldn't"
@@ -0,0 +1 @@
@@ -0,0 +1,34 @@
# openai-codex-sdk/skill-comparison (Codex Skill Comparison)
You can run this example with:
```bash
npx promptfoo@latest init --example openai-codex-sdk/skill-comparison
cd openai-codex-sdk/skill-comparison
```
## Overview
This example compares two versions of the same Codex skill against identical review tasks.
- `fixtures/v1` contains a narrower `review-standards` skill that only calls out weak password hashing.
- `fixtures/v2` contains a stronger version that also checks timing-safe secret comparison.
- Both providers share an `output_schema` (declared once via a YAML anchor) so each response is guaranteed to match the review JSON shape.
- The eval verifies `skill-used`, scores issue recall and precision, and uses `max-score` to select the best output for each test case.
Run it from this directory with:
```bash
promptfoo eval --no-cache
```
If you run it from another directory, set these environment variables first:
```bash
export CODEX_SKILL_COMPARE_V1_DIR=/absolute/path/to/fixtures/v1
export CODEX_SKILL_COMPARE_V2_DIR=/absolute/path/to/fixtures/v2
```
The checked-in `sample-codex-home` directory is intentionally empty of auth state. Use an API key, or set `CODEX_HOME_OVERRIDE="$HOME/.codex"` to reuse a local Codex login.
Because this example uses `max-score`, the weaker candidate is expected to fail when Promptfoo marks the stronger output as the winner for a test case.
@@ -0,0 +1,10 @@
---
name: review-standards
description: Use this skill when asked to review authentication code for security issues.
---
When reviewing authentication code:
1. Check password hashing.
2. Use the issue id `weak-password-hash` when passwords use SHA-1 or MD5.
3. Return no more than one issue.
@@ -0,0 +1,7 @@
export const passwordHashConfig = {
algorithm: 'sha1',
};
export function tokenMatches(actualToken: string, expectedToken: string): boolean {
return actualToken === expectedToken;
}
@@ -0,0 +1,12 @@
---
name: review-standards
description: Use this skill when asked to review authentication code for security issues.
---
When reviewing authentication code:
1. Check password hashing.
2. Check whether secrets or tokens are compared with `===`.
3. Use the issue id `weak-password-hash` when passwords use SHA-1 or MD5.
4. Use the issue id `timing-unsafe-compare` when secrets or tokens use a direct equality comparison.
5. Report only issues that match the user's requested scope.
@@ -0,0 +1,7 @@
export const passwordHashConfig = {
algorithm: 'sha1',
};
export function tokenMatches(actualToken: string, expectedToken: string): boolean {
return actualToken === expectedToken;
}
@@ -0,0 +1,119 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: Compare Codex skill versions
prompts:
- |
Use the review-standards skill.
{{ request }}
Return JSON with this shape:
{
"summary": "one sentence",
"issues": [{"id": "stable-id", "severity": "high|medium|low"}]
}
# YAML anchor for the review-output schema. Both providers must enforce the
# same shape so the JS assertion can compare issue ids without per-provider
# parsing branches.
x-review-schema: &reviewSchema
type: object
required: [summary, issues]
additionalProperties: false
properties:
summary:
type: string
issues:
type: array
items:
type: object
required: [id, severity]
additionalProperties: false
properties:
id:
type: string
severity:
type: string
enum: [high, medium, low]
# YAML anchor for the shared Codex config. Each provider overrides
# `working_dir` so v1/v2 read different `SKILL.md` files but everything else
# (model, sandbox, schema) stays identical.
x-codex-config: &codexConfig
model: gpt-5.5
skip_git_repo_check: true
sandbox_mode: read-only
enable_streaming: true
output_schema: *reviewSchema
cli_env:
CODEX_HOME: '{{ env.CODEX_HOME_OVERRIDE | default("./sample-codex-home") }}'
providers:
- id: openai:codex-sdk
label: review-standards-v1
config:
<<: *codexConfig
working_dir: '{{ env.CODEX_SKILL_COMPARE_V1_DIR | default("./fixtures/v1") }}'
- id: openai:codex-sdk
label: review-standards-v2
config:
<<: *codexConfig
working_dir: '{{ env.CODEX_SKILL_COMPARE_V2_DIR | default("./fixtures/v2") }}'
defaultTest:
# Without `disableVarExpansion`, Promptfoo would fan each YAML-list var into
# one test case per element (src/evaluator.ts:generateVarCombinations), which
# would split each comparison test in two and break max-score selection.
options:
disableVarExpansion: true
assert:
- type: skill-used
value: review-standards
- type: javascript
threshold: 0.7
value: |
const result = JSON.parse(output);
const expected = context.vars.expectedIssues;
const found = (result.issues || []).map((issue) => issue.id);
const hits = expected.filter((id) => found.includes(id));
const extras = found.filter((id) => !expected.includes(id));
const recall = hits.length / expected.length;
const precision = found.length ? hits.length / found.length : 0;
const score = 0.7 * recall + 0.3 * precision;
return {
pass: recall >= 0.75 && precision >= 0.5,
score,
reason: `matched ${hits.length}/${expected.length} expected issues; ${extras.length} unexpected issues`,
};
- type: cost
threshold: 1
- type: latency
threshold: 180000
- type: max-score
value:
method: average
threshold: 0.7
weights:
javascript: 4
skill-used: 2
cost: 0.5
latency: 0.5
tests:
- description: Finds both auth issues
vars:
request: Review src/auth.ts for password handling and token comparison issues.
expectedIssues:
- weak-password-hash
- timing-unsafe-compare
- description: Focuses on token comparison
vars:
request: Review src/auth.ts only for token comparison issues.
expectedIssues:
- timing-unsafe-compare
@@ -0,0 +1,5 @@
# Intentionally empty so the example ships without Codex login state. The
# README explains how to point CODEX_HOME_OVERRIDE at $HOME/.codex if you
# want to reuse a real login.
*
!.gitignore
@@ -0,0 +1,40 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: Codex skill trace eval
prompts:
- 'Use the token-skill skill. Return only the token.'
providers:
- id: openai:codex-sdk
config:
model: gpt-5.2
# Relative working_dir values resolve from this config file's directory.
# Codex resolves CODEX_HOME itself; set CODEX_HOME_OVERRIDE when running this config from another cwd.
# sample-codex-home has no auth state; use an API key or point CODEX_HOME_OVERRIDE at ~/.codex.
working_dir: '{{ env.CODEX_SKILLS_WORKING_DIR | default("./sample-project") }}'
skip_git_repo_check: true
enable_streaming: true
deep_tracing: true
cli_env:
CODEX_HOME: '{{ env.CODEX_HOME_OVERRIDE | default("./sample-codex-home") }}'
tests:
- assert:
- type: contains
value: 'CERULEAN-FALCON-SKILL'
- type: trajectory:step-count
value:
type: command
pattern: '*token-skill/SKILL.md*'
min: 1
- type: skill-used
value: token-skill
tracing:
enabled: true
otlp:
http:
enabled: true
port: 4318
host: '127.0.0.1'
acceptFormats: ['json']
@@ -0,0 +1,25 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: Codex skill eval
prompts:
- 'Use the token-skill skill. Return only the token.'
providers:
- id: openai:codex-sdk
config:
model: gpt-5.2
# Relative working_dir values resolve from this config file's directory.
# Codex resolves CODEX_HOME itself; set CODEX_HOME_OVERRIDE when running this config from another cwd.
# sample-codex-home has no auth state; use an API key or point CODEX_HOME_OVERRIDE at ~/.codex.
working_dir: '{{ env.CODEX_SKILLS_WORKING_DIR | default("./sample-project") }}'
skip_git_repo_check: true
enable_streaming: true
cli_env:
CODEX_HOME: '{{ env.CODEX_HOME_OVERRIDE | default("./sample-codex-home") }}'
tests:
- assert:
- type: equals
value: 'CERULEAN-FALCON-SKILL'
- type: skill-used
value: token-skill
@@ -0,0 +1,10 @@
logs_*.sqlite
logs_*.sqlite-shm
logs_*.sqlite-wal
sessions/
skills/
state_*.sqlite
state_*.sqlite-shm
state_*.sqlite-wal
.tmp/
tmp/
@@ -0,0 +1 @@
@@ -0,0 +1,8 @@
---
name: token-skill
description: Use this skill when the user explicitly asks to use token-skill and wants the special token.
---
When this skill is used, respond with exactly `CERULEAN-FALCON-SKILL`.
Do not add extra words, punctuation, or explanation.
@@ -0,0 +1,32 @@
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: 'Persistent Codex thread memory'
prompts:
- '{{request}}'
providers:
- id: openai:codex-sdk
config:
model: gpt-5.2-codex
cli_config:
model_verbosity: medium
sandbox_mode: read-only
skip_git_repo_check: true
persist_threads: true
thread_pool_size: 1
defaultTest:
options:
runSerially: true
tests:
- vars:
request: 'Remember this marker: BLUE-OTTER-19. Reply with exactly STORED.'
assert:
- type: contains
value: 'STORED'
- vars:
request: 'What marker did I ask you to remember? Reply with the marker only.'
assert:
- type: contains
value: 'BLUE-OTTER-19'