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observability plugin for OpenClaw — OTEL GenAI semantic convention spans","maintainers":[{"name":"yoga-introspection","email":"yoga@introspection.dev"},{"name":"brightsparc","email":"brightsparc@gmail.com"}],"readme":"# introspection-openclaw\n\n> **Experimental integration.**\n\nOpenClaw plugin for [Introspection](https://introspection.dev) — captures agent lifecycle spans so Introspection can analyze and improve your AI system. Exports using OTEL Gen AI semantic conventions.\n\n## What it does\n\nHooks into 6 OpenClaw lifecycle events and produces a span hierarchy per agent session:\n\n```\ninvoke_agent my-agent               (root, cumulative tokens)\n  ├── gen_ai.chat anthropic          (LLM call 1)\n  ├── execute_tool Read              (tool call 1)\n  ├── gen_ai.chat anthropic          (LLM call 2)\n  └── execute_tool Write             (tool call 2)\n```\n\nAll spans follow the [OTEL Gen AI semantic conventions](https://opentelemetry.io/docs/specs/semconv/gen-ai/) — `gen_ai.input.messages`, `gen_ai.output.messages`, `gen_ai.usage.*`, `gen_ai.tool.*`, etc.\n\n## Setup\n\n### 1. Build\n\n```bash\npnpm --filter @introspection-sdk/introspection-openclaw build\n```\n\n### 2. Install into OpenClaw\n\nOpenClaw loads plugins from `~/.openclaw/extensions/`. Copy the built package there:\n\n```bash\nmkdir -p ~/.openclaw/extensions/introspection-openclaw\n\n# Copy plugin manifest and built output\ncp packages/introspection-openclaw/openclaw.plugin.json ~/.openclaw/extensions/introspection-openclaw/\ncp packages/introspection-openclaw/package.json ~/.openclaw/extensions/introspection-openclaw/\ncp -R packages/introspection-openclaw/dist ~/.openclaw/extensions/introspection-openclaw/dist\n\n# Install production dependencies\ncd ~/.openclaw/extensions/introspection-openclaw && npm install --omit=dev\n```\n\n> **Note:** OpenClaw does not follow symlinks — you must copy the files.\n\n### 3. Configure `~/.openclaw/openclaw.json`\n\nAdd the plugin to the allow list and configure it:\n\n```jsonc\n{\n  \"plugins\": {\n    \"allow\": [\n      // ... existing plugins ...\n      \"introspection-openclaw\",\n    ],\n    \"entries\": {\n      // ... existing entries ...\n      \"introspection-openclaw\": {\n        \"enabled\": true,\n        \"config\": {\n          \"token\": \"<your-introspection-token>\",\n          \"baseUrl\": \"https://otel.introspection.dev\",\n        },\n      },\n    },\n  },\n}\n```\n\nThe token can also be set via the `INTROSPECTION_TOKEN` environment variable.\n\n### 4. Restart the gateway\n\n```bash\nopenclaw gateway stop && openclaw gateway install\n```\n\n### 5. Verify\n\n```bash\nopenclaw plugins list\n```\n\nYou should see `introspection-openclaw` listed as loaded. Run an agent session and check your Introspection dashboard for incoming spans.\n\n## Configuration\n\nAll config options can be set in `plugins.entries.introspection-openclaw.config` or via environment variables:\n\n| Config key              | Env var                       | Default                          | Description                              |\n| ----------------------- | ----------------------------- | -------------------------------- | ---------------------------------------- |\n| `token`                 | `INTROSPECTION_TOKEN`         | —                                | **Required.** Introspection write token. |\n| `baseUrl`               | `INTROSPECTION_BASE_OTEL_URL` | `https://otel.introspection.dev` | OTLP endpoint URL.                       |\n| `serviceName`           | `INTROSPECTION_SERVICE_NAME`  | `openclaw-agent`                 | OTEL service name.                       |\n| `captureMessageContent` | —                             | `true`                           | Record LLM prompt/response content.      |\n| `captureToolInput`      | —                             | `true`                           | Record tool call arguments.              |\n| `captureToolOutput`     | —                             | `true`                           | Record tool results.                     |\n\n## Exported span attributes\n\n### Agent span (`invoke_agent`)\n\n- `gen_ai.operation.name` = `\"invoke_agent\"`\n- `gen_ai.agent.name`, `gen_ai.agent.id`\n- `gen_ai.conversation.id`\n- `gen_ai.request.model`, `gen_ai.response.model`, `gen_ai.provider.name`\n- `gen_ai.usage.input_tokens`, `gen_ai.usage.output_tokens` (cumulative)\n- `openclaw.usage.cache_read_tokens`, `openclaw.usage.cache_write_tokens`\n- `openclaw.request.duration_ms`, `openclaw.request.tool_count`\n\n### LLM span (`gen_ai.chat`)\n\n- `gen_ai.operation.name` = `\"chat\"`\n- `gen_ai.request.model`, `gen_ai.response.model`, `gen_ai.provider.name`\n- `gen_ai.system_instructions` — system prompt in OTEL parts format\n- `gen_ai.system` — provider name (e.g. `\"anthropic\"`)\n- `gen_ai.input.messages` — conversation history + current prompt in `{role, parts}` format\n- `gen_ai.output.messages` — assistant response in `{role, parts, finish_reason}` format\n- `gen_ai.usage.input_tokens`, `gen_ai.usage.output_tokens`\n- `gen_ai.response.finish_reasons`\n- `gen_ai.cost.usd`\n\n### Tool span (`execute_tool`)\n\n- `gen_ai.operation.name` = `\"execute_tool\"`\n- `gen_ai.tool.name`, `gen_ai.tool.type` = `\"function\"`\n- `gen_ai.tool.call.arguments` — tool call arguments\n- `gen_ai.tool.call.result` — tool result\n- `openclaw.tool.sequence`, `openclaw.tool.duration_ms`\n- `openclaw.tool.input_size`, `openclaw.tool.output_size`\n","readmeFilename":"README.md"}