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---
summary: "Testing kit: unit/e2e/live suites, Docker runners, and what each test covers"
read_when:
- Running tests locally or in CI
- Adding regressions for model/provider bugs
- Debugging gateway + agent behavior
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title: "Testing"
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---
# Testing
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OpenClaw has three Vitest suites (unit/integration, e2e, live) and a small set of Docker runners.
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This doc is a “how we test” guide:
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- What each suite covers (and what it deliberately does _ not _ cover)
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- Which commands to run for common workflows (local, pre-push, debugging)
- How live tests discover credentials and select models/providers
- How to add regressions for real-world model/provider issues
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## Quick start
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Most days:
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- Full gate (expected before push): `pnpm build && pnpm check && pnpm test`
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When you touch tests or want extra confidence:
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- Coverage gate: `pnpm test:coverage`
- E2E suite: `pnpm test:e2e`
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When debugging real providers/models (requires real creds):
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- Live suite (models + gateway tool/image probes): `pnpm test:live`
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Tip: when you only need one failing case, prefer narrowing live tests via the allowlist env vars described below.
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## Test suites (what runs where)
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Think of the suites as “increasing realism” (and increasing flakiness/cost):
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### Unit / integration (default)
- Command: `pnpm test`
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- Config: `scripts/test-parallel.mjs` (runs `vitest.unit.config.ts` , `vitest.extensions.config.ts` , `vitest.gateway.config.ts` )
- Files: `src/**/*.test.ts` , `extensions/**/*.test.ts`
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- Scope:
- Pure unit tests
- In-process integration tests (gateway auth, routing, tooling, parsing, config)
- Deterministic regressions for known bugs
- Expectations:
- Runs in CI
- No real keys required
- Should be fast and stable
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- Pool note:
- OpenClaw uses Vitest `vmForks` on Node 22/23 for faster unit shards.
- On Node 24+, OpenClaw automatically falls back to regular `forks` to avoid Node VM linking errors (`ERR_VM_MODULE_LINK_FAILURE` / `module is already linked` ).
- Override manually with `OPENCLAW_TEST_VM_FORKS=0` (force `forks` ) or `OPENCLAW_TEST_VM_FORKS=1` (force `vmForks` ).
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### E2E (gateway smoke)
- Command: `pnpm test:e2e`
- Config: `vitest.e2e.config.ts`
- Files: `src/**/*.e2e.test.ts`
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- Runtime defaults:
- Uses Vitest `vmForks` for faster file startup.
- Uses adaptive workers (CI: 2-4, local: 4-8).
- Runs in silent mode by default to reduce console I/O overhead.
- Useful overrides:
- `OPENCLAW_E2E_WORKERS=<n>` to force worker count (capped at 16).
- `OPENCLAW_E2E_VERBOSE=1` to re-enable verbose console output.
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- Scope:
- Multi-instance gateway end-to-end behavior
- WebSocket/HTTP surfaces, node pairing, and heavier networking
- Expectations:
- Runs in CI (when enabled in the pipeline)
- No real keys required
- More moving parts than unit tests (can be slower)
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### Live (real providers + real models)
- Command: `pnpm test:live`
- Config: `vitest.live.config.ts`
- Files: `src/**/*.live.test.ts`
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- Default: **enabled ** by `pnpm test:live` (sets `OPENCLAW_LIVE_TEST=1` )
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- Scope:
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- “Does this provider/model actually work _ today _ with real creds?”
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- Catch provider format changes, tool-calling quirks, auth issues, and rate limit behavior
- Expectations:
- Not CI-stable by design (real networks, real provider policies, quotas, outages)
- Costs money / uses rate limits
- Prefer running narrowed subsets instead of “everything”
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- Live runs will source `~/.profile` to pick up missing API keys
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- Anthropic key rotation: set `OPENCLAW_LIVE_ANTHROPIC_KEYS="sk-...,sk-..."` (or `OPENCLAW_LIVE_ANTHROPIC_KEY=sk-...` ) or multiple `ANTHROPIC_API_KEY*` vars; tests will retry on rate limits
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## Which suite should I run?
Use this decision table:
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- Editing logic/tests: run `pnpm test` (and `pnpm test:coverage` if you changed a lot)
- Touching gateway networking / WS protocol / pairing: add `pnpm test:e2e`
- Debugging “my bot is down” / provider-specific failures / tool calling: run a narrowed `pnpm test:live`
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## Live: model smoke (profile keys)
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Live tests are split into two layers so we can isolate failures:
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- “Direct model” tells us the provider/model can answer at all with the given key.
- “Gateway smoke” tells us the full gateway+agent pipeline works for that model (sessions, history, tools, sandbox policy, etc.).
### Layer 1: Direct model completion (no gateway)
- Test: `src/agents/models.profiles.live.test.ts`
- Goal:
- Enumerate discovered models
- Use `getApiKeyForModel` to select models you have creds for
- Run a small completion per model (and targeted regressions where needed)
- How to enable:
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- `pnpm test:live` (or `OPENCLAW_LIVE_TEST=1` if invoking Vitest directly)
- Set `OPENCLAW_LIVE_MODELS=modern` (or `all` , alias for modern) to actually run this suite; otherwise it skips to keep `pnpm test:live` focused on gateway smoke
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- How to select models:
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- `OPENCLAW_LIVE_MODELS=modern` to run the modern allowlist (Opus/Sonnet/Haiku 4.5, GPT-5.x + Codex, Gemini 3, GLM 4.7, MiniMax M2.1, Grok 4)
- `OPENCLAW_LIVE_MODELS=all` is an alias for the modern allowlist
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- or `OPENCLAW_LIVE_MODELS="openai/gpt-5.2,anthropic/claude-opus-4-6,..."` (comma allowlist)
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- How to select providers:
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- `OPENCLAW_LIVE_PROVIDERS="google,google-antigravity,google-gemini-cli"` (comma allowlist)
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- Where keys come from:
- By default: profile store and env fallbacks
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- Set `OPENCLAW_LIVE_REQUIRE_PROFILE_KEYS=1` to enforce **profile store ** only
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- Why this exists:
- Separates “provider API is broken / key is invalid” from “gateway agent pipeline is broken”
- Contains small, isolated regressions (example: OpenAI Responses/Codex Responses reasoning replay + tool-call flows)
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### Layer 2: Gateway + dev agent smoke (what “@openclaw” actually does)
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- Test: `src/gateway/gateway-models.profiles.live.test.ts`
- Goal:
- Spin up an in-process gateway
- Create/patch a `agent:dev:*` session (model override per run)
- Iterate models-with-keys and assert:
- “meaningful” response (no tools)
- a real tool invocation works (read probe)
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- optional extra tool probes (exec+read probe)
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- OpenAI regression paths (tool-call-only → follow-up) keep working
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- Probe details (so you can explain failures quickly):
- `read` probe: the test writes a nonce file in the workspace and asks the agent to `read` it and echo the nonce back.
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- `exec+read` probe: the test asks the agent to `exec` -write a nonce into a temp file, then `read` it back.
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- image probe: the test attaches a generated PNG (cat + randomized code) and expects the model to return `cat <CODE>` .
- Implementation reference: `src/gateway/gateway-models.profiles.live.test.ts` and `src/gateway/live-image-probe.ts` .
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- How to enable:
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- `pnpm test:live` (or `OPENCLAW_LIVE_TEST=1` if invoking Vitest directly)
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- How to select models:
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- Default: modern allowlist (Opus/Sonnet/Haiku 4.5, GPT-5.x + Codex, Gemini 3, GLM 4.7, MiniMax M2.1, Grok 4)
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- `OPENCLAW_LIVE_GATEWAY_MODELS=all` is an alias for the modern allowlist
- Or set `OPENCLAW_LIVE_GATEWAY_MODELS="provider/model"` (or comma list) to narrow
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- How to select providers (avoid “OpenRouter everything”):
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- `OPENCLAW_LIVE_GATEWAY_PROVIDERS="google,google-antigravity,google-gemini-cli,openai,anthropic,zai,minimax"` (comma allowlist)
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- Tool + image probes are always on in this live test:
- `read` probe + `exec+read` probe (tool stress)
- image probe runs when the model advertises image input support
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- Flow (high level):
- Test generates a tiny PNG with “CAT” + random code (`src/gateway/live-image-probe.ts` )
- Sends it via `agent` `attachments: [{ mimeType: "image/png", content: "<base64>" }]`
- Gateway parses attachments into `images[]` (`src/gateway/server-methods/agent.ts` + `src/gateway/chat-attachments.ts` )
- Embedded agent forwards a multimodal user message to the model
- Assertion: reply contains `cat` + the code (OCR tolerance: minor mistakes allowed)
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Tip: to see what you can test on your machine (and the exact `provider/model` ids), run:
```bash
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openclaw models list
openclaw models list --json
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```
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## Live: Anthropic setup-token smoke
- Test: `src/agents/anthropic.setup-token.live.test.ts`
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- Goal: verify Claude Code CLI setup-token (or a pasted setup-token profile) can complete an Anthropic prompt.
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- Enable:
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- `pnpm test:live` (or `OPENCLAW_LIVE_TEST=1` if invoking Vitest directly)
- `OPENCLAW_LIVE_SETUP_TOKEN=1`
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- Token sources (pick one):
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- Profile: `OPENCLAW_LIVE_SETUP_TOKEN_PROFILE=anthropic:setup-token-test`
- Raw token: `OPENCLAW_LIVE_SETUP_TOKEN_VALUE=sk-ant-oat01-...`
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- Model override (optional):
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- `OPENCLAW_LIVE_SETUP_TOKEN_MODEL=anthropic/claude-opus-4-6`
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Setup example:
```bash
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openclaw models auth paste-token --provider anthropic --profile-id anthropic:setup-token-test
OPENCLAW_LIVE_SETUP_TOKEN=1 OPENCLAW_LIVE_SETUP_TOKEN_PROFILE=anthropic:setup-token-test pnpm test:live src/agents/anthropic.setup-token.live.test.ts
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```
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## Live: CLI backend smoke (Claude Code CLI or other local CLIs)
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- Test: `src/gateway/gateway-cli-backend.live.test.ts`
- Goal: validate the Gateway + agent pipeline using a local CLI backend, without touching your default config.
- Enable:
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- `pnpm test:live` (or `OPENCLAW_LIVE_TEST=1` if invoking Vitest directly)
- `OPENCLAW_LIVE_CLI_BACKEND=1`
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- Defaults:
- Model: `claude-cli/claude-sonnet-4-5`
- Command: `claude`
- Args: `["-p","--output-format","json","--dangerously-skip-permissions"]`
- Overrides (optional):
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- `OPENCLAW_LIVE_CLI_BACKEND_MODEL="claude-cli/claude-opus-4-6"`
- `OPENCLAW_LIVE_CLI_BACKEND_MODEL="codex-cli/gpt-5.3-codex"`
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- `OPENCLAW_LIVE_CLI_BACKEND_COMMAND="/full/path/to/claude"`
- `OPENCLAW_LIVE_CLI_BACKEND_ARGS='["-p","--output-format","json","--permission-mode","bypassPermissions"]'`
- `OPENCLAW_LIVE_CLI_BACKEND_CLEAR_ENV='["ANTHROPIC_API_KEY","ANTHROPIC_API_KEY_OLD"]'`
- `OPENCLAW_LIVE_CLI_BACKEND_IMAGE_PROBE=1` to send a real image attachment (paths are injected into the prompt).
- `OPENCLAW_LIVE_CLI_BACKEND_IMAGE_ARG="--image"` to pass image file paths as CLI args instead of prompt injection.
- `OPENCLAW_LIVE_CLI_BACKEND_IMAGE_MODE="repeat"` (or `"list"` ) to control how image args are passed when `IMAGE_ARG` is set.
- `OPENCLAW_LIVE_CLI_BACKEND_RESUME_PROBE=1` to send a second turn and validate resume flow.
- `OPENCLAW_LIVE_CLI_BACKEND_DISABLE_MCP_CONFIG=0` to keep Claude Code CLI MCP config enabled (default disables MCP config with a temporary empty file).
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Example:
```bash
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OPENCLAW_LIVE_CLI_BACKEND=1 \
OPENCLAW_LIVE_CLI_BACKEND_MODEL="claude-cli/claude-sonnet-4-5" \
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pnpm test:live src/gateway/gateway-cli-backend.live.test.ts
```
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### Recommended live recipes
Narrow, explicit allowlists are fastest and least flaky:
- Single model, direct (no gateway):
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- `OPENCLAW_LIVE_MODELS="openai/gpt-5.2" pnpm test:live src/agents/models.profiles.live.test.ts`
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- Single model, gateway smoke:
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- `OPENCLAW_LIVE_GATEWAY_MODELS="openai/gpt-5.2" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
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- Tool calling across several providers:
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- `OPENCLAW_LIVE_GATEWAY_MODELS="openai/gpt-5.2,anthropic/claude-opus-4-6,google/gemini-3-flash-preview,zai/glm-4.7,minimax/minimax-m2.1" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
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- Google focus (Gemini API key + Antigravity):
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- Gemini (API key): `OPENCLAW_LIVE_GATEWAY_MODELS="google/gemini-3-flash-preview" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
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- Antigravity (OAuth): `OPENCLAW_LIVE_GATEWAY_MODELS="google-antigravity/claude-opus-4-6-thinking,google-antigravity/gemini-3-pro-high" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
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Notes:
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- `google/...` uses the Gemini API (API key).
- `google-antigravity/...` uses the Antigravity OAuth bridge (Cloud Code Assist-style agent endpoint).
- `google-gemini-cli/...` uses the local Gemini CLI on your machine (separate auth + tooling quirks).
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- Gemini API vs Gemini CLI:
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- API: OpenClaw calls Google’ s hosted Gemini API over HTTP (API key / profile auth); this is what most users mean by “Gemini”.
- CLI: OpenClaw shells out to a local `gemini` binary; it has its own auth and can behave differently (streaming/tool support/version skew).
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## Live: model matrix (what we cover)
There is no fixed “CI model list” (live is opt-in), but these are the **recommended ** models to cover regularly on a dev machine with keys.
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### Modern smoke set (tool calling + image)
This is the “common models” run we expect to keep working:
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- OpenAI (non-Codex): `openai/gpt-5.2` (optional: `openai/gpt-5.1` )
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- OpenAI Codex: `openai-codex/gpt-5.3-codex` (optional: `openai-codex/gpt-5.3-codex-codex` )
- Anthropic: `anthropic/claude-opus-4-6` (or `anthropic/claude-sonnet-4-5` )
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- Google (Gemini API): `google/gemini-3-pro-preview` and `google/gemini-3-flash-preview` (avoid older Gemini 2.x models)
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- Google (Antigravity): `google-antigravity/claude-opus-4-6-thinking` and `google-antigravity/gemini-3-flash`
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- Z.AI (GLM): `zai/glm-4.7`
- MiniMax: `minimax/minimax-m2.1`
Run gateway smoke with tools + image:
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`OPENCLAW_LIVE_GATEWAY_MODELS="openai/gpt-5.2,openai-codex/gpt-5.3-codex,anthropic/claude-opus-4-6,google/gemini-3-pro-preview,google/gemini-3-flash-preview,google-antigravity/claude-opus-4-6-thinking,google-antigravity/gemini-3-flash,zai/glm-4.7,minimax/minimax-m2.1" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
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### Baseline: tool calling (Read + optional Exec)
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Pick at least one per provider family:
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- OpenAI: `openai/gpt-5.2` (or `openai/gpt-5-mini` )
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- Anthropic: `anthropic/claude-opus-4-6` (or `anthropic/claude-sonnet-4-5` )
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- Google: `google/gemini-3-flash-preview` (or `google/gemini-3-pro-preview` )
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- Z.AI (GLM): `zai/glm-4.7`
- MiniMax: `minimax/minimax-m2.1`
Optional additional coverage (nice to have):
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- xAI: `xai/grok-4` (or latest available)
- Mistral: `mistral/` … (pick one “tools” capable model you have enabled)
- Cerebras: `cerebras/` … (if you have access)
- LM Studio: `lmstudio/` … (local; tool calling depends on API mode)
### Vision: image send (attachment → multimodal message)
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Include at least one image-capable model in `OPENCLAW_LIVE_GATEWAY_MODELS` (Claude/Gemini/OpenAI vision-capable variants, etc.) to exercise the image probe.
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### Aggregators / alternate gateways
If you have keys enabled, we also support testing via:
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- OpenRouter: `openrouter/...` (hundreds of models; use `openclaw models scan` to find tool+image capable candidates)
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- OpenCode Zen: `opencode/...` (auth via `OPENCODE_API_KEY` / `OPENCODE_ZEN_API_KEY` )
More providers you can include in the live matrix (if you have creds/config):
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- Built-in: `openai` , `openai-codex` , `anthropic` , `google` , `google-vertex` , `google-antigravity` , `google-gemini-cli` , `zai` , `openrouter` , `opencode` , `xai` , `groq` , `cerebras` , `mistral` , `github-copilot`
- Via `models.providers` (custom endpoints): `minimax` (cloud/API), plus any OpenAI/Anthropic-compatible proxy (LM Studio, vLLM, LiteLLM, etc.)
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Tip: don’ t try to hardcode “all models” in docs. The authoritative list is whatever `discoverModels(...)` returns on your machine + whatever keys are available.
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## Credentials (never commit)
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Live tests discover credentials the same way the CLI does. Practical implications:
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- If the CLI works, live tests should find the same keys.
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- If a live test says “no creds”, debug the same way you’ d debug `openclaw models list` / model selection.
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- Profile store: `~/.openclaw/credentials/` (preferred; what “profile keys” means in the tests)
- Config: `~/.openclaw/openclaw.json` (or `OPENCLAW_CONFIG_PATH` )
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If you want to rely on env keys (e.g. exported in your `~/.profile` ), run local tests after `source ~/.profile` , or use the Docker runners below (they can mount `~/.profile` into the container).
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## Deepgram live (audio transcription)
- Test: `src/media-understanding/providers/deepgram/audio.live.test.ts`
- Enable: `DEEPGRAM_API_KEY=... DEEPGRAM_LIVE_TEST=1 pnpm test:live src/media-understanding/providers/deepgram/audio.live.test.ts`
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## Docker runners (optional “works in Linux” checks)
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These run `pnpm test:live` inside the repo Docker image, mounting your local config dir and workspace (and sourcing `~/.profile` if mounted):
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- Direct models: `pnpm test:docker:live-models` (script: `scripts/test-live-models-docker.sh` )
- Gateway + dev agent: `pnpm test:docker:live-gateway` (script: `scripts/test-live-gateway-models-docker.sh` )
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- Onboarding wizard (TTY, full scaffolding): `pnpm test:docker:onboard` (script: `scripts/e2e/onboard-docker.sh` )
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- Gateway networking (two containers, WS auth + health): `pnpm test:docker:gateway-network` (script: `scripts/e2e/gateway-network-docker.sh` )
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- Plugins (custom extension load + registry smoke): `pnpm test:docker:plugins` (script: `scripts/e2e/plugins-docker.sh` )
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Useful env vars:
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- `OPENCLAW_CONFIG_DIR=...` (default: `~/.openclaw` ) mounted to `/home/node/.openclaw`
- `OPENCLAW_WORKSPACE_DIR=...` (default: `~/.openclaw/workspace` ) mounted to `/home/node/.openclaw/workspace`
- `OPENCLAW_PROFILE_FILE=...` (default: `~/.profile` ) mounted to `/home/node/.profile` and sourced before running tests
- `OPENCLAW_LIVE_GATEWAY_MODELS=...` / `OPENCLAW_LIVE_MODELS=...` to narrow the run
- `OPENCLAW_LIVE_REQUIRE_PROFILE_KEYS=1` to ensure creds come from the profile store (not env)
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## Docs sanity
Run docs checks after doc edits: `pnpm docs:list` .
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## Offline regression (CI-safe)
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These are “real pipeline” regressions without real providers:
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- Gateway tool calling (mock OpenAI, real gateway + agent loop): `src/gateway/gateway.tool-calling.mock-openai.test.ts`
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- Gateway wizard (WS `wizard.start` /`wizard.next` , writes config + auth enforced): `src/gateway/gateway.wizard.e2e.test.ts`
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## Agent reliability evals (skills)
We already have a few CI-safe tests that behave like “agent reliability evals”:
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- Mock tool-calling through the real gateway + agent loop (`src/gateway/gateway.tool-calling.mock-openai.test.ts` ).
- End-to-end wizard flows that validate session wiring and config effects (`src/gateway/gateway.wizard.e2e.test.ts` ).
What’ s still missing for skills (see [Skills ](/tools/skills )):
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- **Decisioning:** when skills are listed in the prompt, does the agent pick the right skill (or avoid irrelevant ones)?
- **Compliance:** does the agent read `SKILL.md` before use and follow required steps/args?
- **Workflow contracts:** multi-turn scenarios that assert tool order, session history carryover, and sandbox boundaries.
Future evals should stay deterministic first:
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- A scenario runner using mock providers to assert tool calls + order, skill file reads, and session wiring.
- A small suite of skill-focused scenarios (use vs avoid, gating, prompt injection).
- Optional live evals (opt-in, env-gated) only after the CI-safe suite is in place.
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## Adding regressions (guidance)
When you fix a provider/model issue discovered in live:
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- Add a CI-safe regression if possible (mock/stub provider, or capture the exact request-shape transformation)
- If it’ s inherently live-only (rate limits, auth policies), keep the live test narrow and opt-in via env vars
- Prefer targeting the smallest layer that catches the bug:
- provider request conversion/replay bug → direct models test
- gateway session/history/tool pipeline bug → gateway live smoke or CI-safe gateway mock test