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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
---
# Testing
Moltbot has three Vitest suites (unit/integration, e2e, live) and a small set of Docker runners.
This doc is a “how we test” guide:
- What each suite covers (and what it deliberately does *not* cover)
- 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
## Quick start
Most days:
- Full gate (expected before push): `pnpm lint && pnpm build && pnpm test`
When you touch tests or want extra confidence:
- Coverage gate: `pnpm test:coverage`
- E2E suite: `pnpm test:e2e`
When debugging real providers/models (requires real creds):
- Live suite (models + gateway tool/image probes): `pnpm test:live`
Tip: when you only need one failing case, prefer narrowing live tests via the allowlist env vars described below.
## Test suites (what runs where)
Think of the suites as “increasing realism” (and increasing flakiness/cost):
### Unit / integration (default)
- Command: `pnpm test`
- Config: `vitest.config.ts`
- Files: `src/**/*.test.ts`
- 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
### E2E (gateway smoke)
- Command: `pnpm test:e2e`
- Config: `vitest.e2e.config.ts`
- Files: `src/**/*.e2e.test.ts`
- 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)
### Live (real providers + real models)
- Command: `pnpm test:live`
- Config: `vitest.live.config.ts`
- Files: `src/**/*.live.test.ts`
- Default: **enabled** by `pnpm test:live` (sets `CLAWDBOT_LIVE_TEST=1`)
- Scope:
- “Does this provider/model actually work *today* with real creds?”
- 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”
- Live runs will source `~/.profile` to pick up missing API keys
- Anthropic key rotation: set `CLAWDBOT_LIVE_ANTHROPIC_KEYS="sk-...,sk-..."` (or `CLAWDBOT_LIVE_ANTHROPIC_KEY=sk-...`) or multiple `ANTHROPIC_API_KEY*` vars; tests will retry on rate limits
## Which suite should I run?
Use this decision table:
- 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`
## Live: model smoke (profile keys)
Live tests are split into two layers so we can isolate failures:
- “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:
- `pnpm test:live` (or `CLAWDBOT_LIVE_TEST=1` if invoking Vitest directly)
- Set `CLAWDBOT_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
- How to select models:
- `CLAWDBOT_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)
- `CLAWDBOT_LIVE_MODELS=all` is an alias for the modern allowlist
- or `CLAWDBOT_LIVE_MODELS="openai/gpt-5.2,anthropic/claude-opus-4-5,..."` (comma allowlist)
- How to select providers:
- `CLAWDBOT_LIVE_PROVIDERS="google,google-antigravity,google-gemini-cli"` (comma allowlist)
- Where keys come from:
- By default: profile store and env fallbacks
- Set `CLAWDBOT_LIVE_REQUIRE_PROFILE_KEYS=1` to enforce **profile store** only
- 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)
### Layer 2: Gateway + dev agent smoke (what “@moltbot” actually does)
- 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)
- optional extra tool probes (exec+read probe)
- OpenAI regression paths (tool-call-only → follow-up) keep working
- 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.
- `exec+read` probe: the test asks the agent to `exec`-write a nonce into a temp file, then `read` it back.
- 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`.
- How to enable:
- `pnpm test:live` (or `CLAWDBOT_LIVE_TEST=1` if invoking Vitest directly)
- How to select models:
- Default: modern allowlist (Opus/Sonnet/Haiku 4.5, GPT-5.x + Codex, Gemini 3, GLM 4.7, MiniMax M2.1, Grok 4)
- `CLAWDBOT_LIVE_GATEWAY_MODELS=all` is an alias for the modern allowlist
- Or set `CLAWDBOT_LIVE_GATEWAY_MODELS="provider/model"` (or comma list) to narrow
- How to select providers (avoid “OpenRouter everything”):
- `CLAWDBOT_LIVE_GATEWAY_PROVIDERS="google,google-antigravity,google-gemini-cli,openai,anthropic,zai,minimax"` (comma allowlist)
- 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
- 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)
Tip: to see what you can test on your machine (and the exact `provider/model` ids), run:
```bash
moltbot models list
moltbot models list --json
```
## Live: Anthropic setup-token smoke
- Test: `src/agents/anthropic.setup-token.live.test.ts`
- Goal: verify Claude Code CLI setup-token (or a pasted setup-token profile) can complete an Anthropic prompt.
- Enable:
- `pnpm test:live` (or `CLAWDBOT_LIVE_TEST=1` if invoking Vitest directly)
- `CLAWDBOT_LIVE_SETUP_TOKEN=1`
- Token sources (pick one):
- Profile: `CLAWDBOT_LIVE_SETUP_TOKEN_PROFILE=anthropic:setup-token-test`
- Raw token: `CLAWDBOT_LIVE_SETUP_TOKEN_VALUE=sk-ant-oat01-...`
- Model override (optional):
- `CLAWDBOT_LIVE_SETUP_TOKEN_MODEL=anthropic/claude-opus-4-5`
Setup example:
```bash
moltbot models auth paste-token --provider anthropic --profile-id anthropic:setup-token-test
CLAWDBOT_LIVE_SETUP_TOKEN=1 CLAWDBOT_LIVE_SETUP_TOKEN_PROFILE=anthropic:setup-token-test pnpm test:live src/agents/anthropic.setup-token.live.test.ts
```
## Live: CLI backend smoke (Claude Code CLI or other local CLIs)
- 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:
- `pnpm test:live` (or `CLAWDBOT_LIVE_TEST=1` if invoking Vitest directly)
- `CLAWDBOT_LIVE_CLI_BACKEND=1`
- Defaults:
- Model: `claude-cli/claude-sonnet-4-5`
- Command: `claude`
- Args: `["-p","--output-format","json","--dangerously-skip-permissions"]`
- Overrides (optional):
- `CLAWDBOT_LIVE_CLI_BACKEND_MODEL="claude-cli/claude-opus-4-5"`
- `CLAWDBOT_LIVE_CLI_BACKEND_MODEL="codex-cli/gpt-5.2-codex"`
- `CLAWDBOT_LIVE_CLI_BACKEND_COMMAND="/full/path/to/claude"`
- `CLAWDBOT_LIVE_CLI_BACKEND_ARGS='["-p","--output-format","json","--permission-mode","bypassPermissions"]'`
- `CLAWDBOT_LIVE_CLI_BACKEND_CLEAR_ENV='["ANTHROPIC_API_KEY","ANTHROPIC_API_KEY_OLD"]'`
- `CLAWDBOT_LIVE_CLI_BACKEND_IMAGE_PROBE=1` to send a real image attachment (paths are injected into the prompt).
- `CLAWDBOT_LIVE_CLI_BACKEND_IMAGE_ARG="--image"` to pass image file paths as CLI args instead of prompt injection.
- `CLAWDBOT_LIVE_CLI_BACKEND_IMAGE_MODE="repeat"` (or `"list"`) to control how image args are passed when `IMAGE_ARG` is set.
- `CLAWDBOT_LIVE_CLI_BACKEND_RESUME_PROBE=1` to send a second turn and validate resume flow.
- `CLAWDBOT_LIVE_CLI_BACKEND_DISABLE_MCP_CONFIG=0` to keep Claude Code CLI MCP config enabled (default disables MCP config with a temporary empty file).
Example:
```bash
CLAWDBOT_LIVE_CLI_BACKEND=1 \
CLAWDBOT_LIVE_CLI_BACKEND_MODEL="claude-cli/claude-sonnet-4-5" \
pnpm test:live src/gateway/gateway-cli-backend.live.test.ts
```
### Recommended live recipes
Narrow, explicit allowlists are fastest and least flaky:
- Single model, direct (no gateway):
- `CLAWDBOT_LIVE_MODELS="openai/gpt-5.2" pnpm test:live src/agents/models.profiles.live.test.ts`
- Single model, gateway smoke:
- `CLAWDBOT_LIVE_GATEWAY_MODELS="openai/gpt-5.2" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
- Tool calling across several providers:
- `CLAWDBOT_LIVE_GATEWAY_MODELS="openai/gpt-5.2,anthropic/claude-opus-4-5,google/gemini-3-flash-preview,zai/glm-4.7,minimax/minimax-m2.1" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
- Google focus (Gemini API key + Antigravity):
- Gemini (API key): `CLAWDBOT_LIVE_GATEWAY_MODELS="google/gemini-3-flash-preview" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
- Antigravity (OAuth): `CLAWDBOT_LIVE_GATEWAY_MODELS="google-antigravity/claude-opus-4-5-thinking,google-antigravity/gemini-3-pro-high" pnpm test:live src/gateway/gateway-models.profiles.live.test.ts`
Notes:
- `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).
- Gemini API vs Gemini CLI:
- API: Moltbot calls Google’s hosted Gemini API over HTTP (API key / profile auth); this is what most users mean by “Gemini”.
- CLI: Moltbot shells out to a local `gemini` binary; it has its own auth and can behave differently (streaming/tool support/version skew).
## 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.
### Modern smoke set (tool calling + image)
This is the “common models” run we expect to keep working:
- OpenAI (non-Codex): `openai/gpt-5.2` (optional: `openai/gpt-5.1`)
- OpenAI Codex: `openai-codex/gpt-5.2` (optional: `openai-codex/gpt-5.2-codex`)
- Anthropic: `anthropic/claude-opus-4-5` (or `anthropic/claude-sonnet-4-5`)
- Google (Gemini API): `google/gemini-3-pro-preview` and `google/gemini-3-flash-preview` (avoid older Gemini 2.x models)
- Google (Antigravity): `google-antigravity/claude-opus-4-5-thinking` and `google-antigravity/gemini-3-flash`
- Z.AI (GLM): `zai/glm-4.7`
- MiniMax: `minimax/minimax-m2.1`
Run gateway smoke with tools + image:
`CLAWDBOT_LIVE_GATEWAY_MODELS="openai/gpt-5.2,openai-codex/gpt-5.2,anthropic/claude-opus-4-5,google/gemini-3-pro-preview,google/gemini-3-flash-preview,google-antigravity/claude-opus-4-5-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`
### Baseline: tool calling (Read + optional Exec)
Pick at least one per provider family:
- OpenAI: `openai/gpt-5.2` (or `openai/gpt-5-mini`)
- Anthropic: `anthropic/claude-opus-4-5` (or `anthropic/claude-sonnet-4-5`)
- Google: `google/gemini-3-flash-preview` (or `google/gemini-3-pro-preview`)
- Z.AI (GLM): `zai/glm-4.7`
- MiniMax: `minimax/minimax-m2.1`
Optional additional coverage (nice to have):
- 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)
Include at least one image-capable model in `CLAWDBOT_LIVE_GATEWAY_MODELS` (Claude/Gemini/OpenAI vision-capable variants, etc.) to exercise the image probe.
### Aggregators / alternate gateways
If you have keys enabled, we also support testing via:
- OpenRouter: `openrouter/...` (hundreds of models; use `moltbot models scan` to find tool+image capable candidates)
- 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):
- 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.)
Tip: don’t try to hardcode “all models” in docs. The authoritative list is whatever `discoverModels(...)` returns on your machine + whatever keys are available.
## Credentials (never commit)
Live tests discover credentials the same way the CLI does. Practical implications:
- If the CLI works, live tests should find the same keys.
- If a live test says “no creds”, debug the same way you’d debug `moltbot models list` / model selection.
- Profile store: `~/.clawdbot/credentials/` (preferred; what “profile keys” means in the tests)
- Config: `~/.clawdbot/moltbot.json` (or `CLAWDBOT_CONFIG_PATH`)
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).
## 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`
## Docker runners (optional “works in Linux” checks)
These run `pnpm test:live` inside the repo Docker image, mounting your local config dir and workspace (and sourcing `~/.profile` if mounted):
- 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`)
- Onboarding wizard (TTY, full scaffolding): `pnpm test:docker:onboard` (script: `scripts/e2e/onboard-docker.sh`)
- Gateway networking (two containers, WS auth + health): `pnpm test:docker:gateway-network` (script: `scripts/e2e/gateway-network-docker.sh`)
- Plugins (custom extension load + registry smoke): `pnpm test:docker:plugins` (script: `scripts/e2e/plugins-docker.sh`)
Useful env vars:
- `CLAWDBOT_CONFIG_DIR=...` (default: `~/.clawdbot`) mounted to `/home/node/.clawdbot`
- `CLAWDBOT_WORKSPACE_DIR=...` (default: `~/clawd`) mounted to `/home/node/clawd`
- `CLAWDBOT_PROFILE_FILE=...` (default: `~/.profile`) mounted to `/home/node/.profile` and sourced before running tests
- `CLAWDBOT_LIVE_GATEWAY_MODELS=...` / `CLAWDBOT_LIVE_MODELS=...` to narrow the run
- `CLAWDBOT_LIVE_REQUIRE_PROFILE_KEYS=1` to ensure creds come from the profile store (not env)
## Docs sanity
Run docs checks after doc edits: `pnpm docs:list`.
## Offline regression (CI-safe)
These are “real pipeline” regressions without real providers:
- Gateway tool calling (mock OpenAI, real gateway + agent loop): `src/gateway/gateway.tool-calling.mock-openai.test.ts`
- Gateway wizard (WS `wizard.start`/`wizard.next`, writes config + auth enforced): `src/gateway/gateway.wizard.e2e.test.ts`
## Agent reliability evals (skills)
We already have a few CI-safe tests that behave like “agent reliability evals”:
- 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)):
- **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:
- 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.
## Adding regressions (guidance)
When you fix a provider/model issue discovered in live:
- 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