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147 lines
10 KiB
Markdown
147 lines
10 KiB
Markdown
# @elizaos/plugin-zai
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z.ai model provider plugin for elizaOS — registers `TEXT_SMALL` and `TEXT_LARGE` model handlers backed by z.ai's OpenAI-compatible API.
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## Purpose / role
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Enables Eliza agents to use z.ai language models (`glm-4.5-air` and `glm-5.1` by default) for text generation. The plugin is auto-enabled when `ZAI_API_KEY` (or the legacy `Z_AI_API_KEY`) is present in the environment. It registers no actions, providers, evaluators, or routes — only model handlers. Supports both Node.js and browser runtimes (browser build uses a proxy base URL instead of the API key directly).
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## Plugin surface
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No actions, evaluators, providers, or routes are registered.
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**Model handlers** (registered on `Plugin.models`):
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- `ModelType.TEXT_SMALL` — handled by `handleTextSmall`; uses the `ZAI_SMALL_MODEL` identifier (default `glm-4.5-air`).
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- `ModelType.TEXT_LARGE` — handled by `handleTextLarge`; uses the `ZAI_LARGE_MODEL` identifier (default `glm-5.1`).
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Both handlers emit `EventType.MODEL_USED` via `emitModelUsageEvent` after each call, carrying prompt/completion/total token counts sourced from the Vercel AI SDK response.
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**Auto-enable** (`auto-enable.ts`): elizaOS calls `shouldEnable({ env })` at boot; the plugin self-activates when `ZAI_API_KEY` or `Z_AI_API_KEY` is non-empty. No explicit plugin registration is required when either key is set.
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## Layout
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```
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plugins/plugin-zai/
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index.ts Plugin definition (zaiPlugin), config snapshot, test suites
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index.node.ts Node entrypoint — re-exports index.ts (dist/node/index.node.js)
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index.browser.ts Browser entrypoint (dist/browser/index.browser.js)
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auto-enable.ts shouldEnable() — env-only check; no plugin runtime imports
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init.ts initializeZai() — validates API key presence at startup
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models/
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index.ts Re-exports handleTextSmall, handleTextLarge
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text.ts Core text generation: resolveTextParams, generateTextWithModel
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providers/
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index.ts Re-exports createZaiClient, ZaiProvider, ZaiFetch
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openai-compatible.ts createZaiClient() — builds @ai-sdk/openai-compatible instance
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types/
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index.ts Branded types: ValidatedApiKey, ModelName, ModelSize, ProviderOptions
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utils/
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config.ts All setting/env reads: getApiKey, getBaseURL, getSmallModel,
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getLargeModel, getThinkingConfig, getCoTBudget, etc.
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events.ts emitModelUsageEvent() — wraps runtime.emitEvent(MODEL_USED, ...)
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__tests__/ Unit tests (vitest)
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build.ts Build script (node ESM + browser + CJS via Bun.build; tsc for declarations)
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```
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## Commands
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Only scripts that exist in `package.json`:
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```bash
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bun run --cwd plugins/plugin-zai build # compile node + browser outputs to dist/
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bun run --cwd plugins/plugin-zai dev # watch mode build
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bun run --cwd plugins/plugin-zai test # vitest run
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bun run --cwd plugins/plugin-zai test:watch # vitest watch
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bun run --cwd plugins/plugin-zai typecheck # tsgo --noEmit
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bun run --cwd plugins/plugin-zai lint # biome check --write --unsafe
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bun run --cwd plugins/plugin-zai lint:check # biome check (read-only)
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bun run --cwd plugins/plugin-zai format # biome format --write
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bun run --cwd plugins/plugin-zai format:check # biome format (read-only)
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bun run --cwd plugins/plugin-zai clean # rm -rf dist .turbo + tsbuildinfo
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```
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## Config / env vars
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All values are read via `runtime.getSetting(key)` first, then `process.env[key]`.
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| Var | Required | Default | Notes |
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| `ZAI_API_KEY` | Yes (Node) | — | Primary API key. Not required in browser builds. |
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| `Z_AI_API_KEY` | No | — | Legacy alias; accepted when `ZAI_API_KEY` is absent. |
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| `ZAI_BASE_URL` | No | `https://api.z.ai/api/paas/v4` | General API only. `/api/coding/` and `/api/anthropic` paths are actively blocked. |
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| `ZAI_BROWSER_BASE_URL` | No | — | Browser-only proxy URL. Replaces `ZAI_BASE_URL` in browser runtime. |
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| `ZAI_SMALL_MODEL` | No | `glm-4.5-air` | Model ID for `TEXT_SMALL`. |
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| `ZAI_LARGE_MODEL` | No | `glm-5.1` | Model ID for `TEXT_LARGE`. |
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| `ZAI_THINKING_TYPE` | No | — | `"enabled"` or `"disabled"`; overrides z.ai's default thinking behavior. |
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| `ZAI_COT_BUDGET` | No | — | Deprecated. Positive value enables thinking mode (Anthropic `budget_tokens` is NOT sent). |
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| `ZAI_COT_BUDGET_SMALL` | No | — | Deprecated per-size override of `ZAI_COT_BUDGET` for small models. |
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| `ZAI_COT_BUDGET_LARGE` | No | — | Deprecated per-size override of `ZAI_COT_BUDGET` for large models. |
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| `ZAI_EXPERIMENTAL_TELEMETRY` | No | `false` | Set `"true"` to enable Vercel AI SDK `experimental_telemetry`. |
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## How to extend
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**Add a model handler** (e.g., `TEXT_EMBEDDING`):
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1. Implement the handler in `models/` (create a new file or add to `text.ts`).
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2. Export it from `models/index.ts`.
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3. Register it in `index.ts` under the `Plugin.models` key using the appropriate `ModelType` constant.
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**Add an action or evaluator:**
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1. Create the file in a new `actions/` or `evaluators/` subdirectory.
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2. Add the object to `Plugin.actions` or `Plugin.evaluators` array in `index.ts`.
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3. See root `AGENTS.md` for elizaOS action/evaluator conventions.
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**Thinking mode** is injected at the HTTP fetch layer (`createZaiRequestFetch` in `models/text.ts`) rather than via an AI SDK parameter, because z.ai's OpenAI-compatible endpoint expects a `thinking` body field that the SDK does not natively produce. Keep that approach when adding new model types that need thinking support.
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## Conventions / gotchas
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- **No direct Anthropic `budget_tokens`.** `ZAI_COT_BUDGET*` vars are deprecated shims; they enable `ZAI_THINKING_TYPE=enabled` behavior, but the actual Anthropic field is never forwarded. Use `ZAI_THINKING_TYPE` instead.
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- **Base URL validation is strict.** `normalizeDirectApiBaseURL` throws if the URL contains `/api/coding/` or `/api/anthropic`. Do not point this plugin at z.ai Coding Plan endpoints.
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- **Browser build omits the API key.** In browsers, use `ZAI_BROWSER_BASE_URL` to route through a proxy that holds the key server-side.
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- **`air`/`flash` models cap at 4096 max tokens** by default; all other models cap at 8192. This is hardcoded in `resolveTextParams`.
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- **`glm-4.5-air`** is the default small model; **`glm-5.1`** is the default large model. Both can be overridden per-runtime via settings.
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- **Per-call model override.** Text handlers honor `params.model` before slot-level model settings. Workflow generation uses this for isolated z.ai tests without changing every z.ai text call.
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- `AI_SDK_LOG_WARNINGS` is silenced globally at plugin init to suppress Vercel AI SDK noise; this fires once at startup regardless of whether a key is present.
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- For architecture conventions (logger-only logging, ESM module rules, layer boundaries), see the root `AGENTS.md`.
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<!-- BEGIN: evidence-and-e2e-mandate (managed; canonical standard = repo-root AGENTS.md) -->
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## ⛔ NON-NEGOTIABLE — evidence, trajectories & real end-to-end tests
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> The binding, repo-wide standard is **[AGENTS.md](../../AGENTS.md)**. Read it.
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> Nothing in this package is *done* until it is *proven* done — a reviewer must confirm it
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> works **without reading the code**, from the artifacts you attach. This applies to **every**
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> feature, fix, refactor, and chore here. "Tests pass" is not proof; "CI is green" is not proof.
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- **Record AND read model trajectories.** Capture the *actual* inputs and outputs of the model
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from a **live** LLM — not the deterministic proxy, not a mock: the prompt, the
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providers/context, the raw model output, every tool/action call, and the result. Then **open
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the trajectory and review it by hand.** A captured-but-unread trajectory is not evidence
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(`packages/scenario-runner/bin/eliza-scenarios run <scenario> --report <out>`).
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- **Real, full-featured E2E — no larp.** Every feature ships detailed end-to-end tests that
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drive the *real* path end to end. Not the happy "front door" only: cover error paths,
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edge/empty/invalid input, concurrency, roles/permissions, and adversarial input. A test that
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asserts against a mock/stub/fixture standing in for the thing under test **does not count**.
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If the real model/device/chain/connector/account is hard to reach, **make it reachable — that
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is the work**, not an excuse to mock. If the existing tests here are shallow or mocked, fixing
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them is part of your change.
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- **Screenshots + logs at every phase**, plus a **complete walkthrough video/run-through** of
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the entire feature or view, start to finish (`bun run test:e2e:record`).
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- **Manually review every artifact the change touches** — never just the green check: client
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logs (console + network), server logs (`[ClassName] …`), the model trajectories in and out,
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before/after full-page screenshots, **and the domain artifacts listed below for this package.**
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- **No residuals. No shortcuts.** The goal is not "done" — it is *everything* done. Clear every
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blocker by the **hard path**: build the real architecture, stand up the real
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model/device/service, actually test it. Never leave a TODO, a stub, a stepping-stone, or a
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"follow-up." When unsure, research thoroughly, weigh the options, and ship the best,
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highest-effort, production-ready version. Keep going until every possibility is exhausted.
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Artifacts → attached inline in the PR (MP4 video, JPG screenshots, logs in `<details>`); attach each evidence type **or**
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explicitly mark it N/A with a reason — never leave it blank. If `develop` moved and changed
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behavior, **re-capture** evidence; stale proof is worse than none.
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**Capture & manually review for this package — model provider:**
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- A trajectory from a **live** call to this provider (not the proxy, not a mock): full request, raw response, token usage, finish reason, and streamed chunks.
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- Proof of tool/function-calling and structured-output parsing against the real model.
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- The error paths exercised: bad key, model-not-found, oversized context, timeout, rate-limit, mid-stream disconnect — plus latency and cost from the real call.
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- If no key is available in CI, attach the documented live-run transcript as evidence — never a mocked client passed off as a pass.
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<!-- END: evidence-and-e2e-mandate -->
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