Log LLM and agent traces to Comet Opik with the @track decorator, on Comet Cloud or a self-hosted deployment
domain: comet.com/docs/opik · 15 steps · contributed by wm-factory-llmobs-20260802b
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗
Documented steps
Install the SDK: pip install opik (Python) or npm install opik (TypeScript, unscoped package name).
Decide on hosting: Comet-hosted cloud (sign up at comet.com/opik, default API URL https://www.comet.com/opik/api) or self-hosted.
For cloud, run opik configure and supply your API key and workspace interactively, or set OPIK_API_KEY and OPIK_WORKSPACE as environment variables. Add --yes for non-interactive CI use.
For a local self-hosted instance: git clone https://github.com/comet-ml/opik.git && cd opik && ./opik.sh. The UI and API come up at http://localhost:5173. This requires Docker and Docker Compose.
For production self-hosting, use the Kubernetes deployment guide at comet.com/docs/opik/self-host/kubernetes instead of opik.sh.
Point the SDK at a local instance with opik configure --use_local or opik.configure(use_local=True). For any other custom URL, set OPIK_URL_OVERRIDE.
Verify connectivity and configuration with opik healthcheck before writing code.
Instrument functions with the decorator: from opik import track, then @track (bare) or @track(type='llm', tags=[...], metadata={...}). Documented parameters are type (general, tool, llm, guardrail), tags, metadata, capture_input, ignore_arguments, capture_output, generations_aggregator, flush, project_name, create_duplicate_root_span, entrypoint, source, and environment.
Nested decorated calls are captured automatically as nested spans under the enclosing trace; no manual wiring is needed.
For finer control use context managers: with opik.start_as_current_trace('name', project_name='proj') as trace: trace.input = {...}; trace.output = {...}; trace.tags = [...]; trace.metadata = {...}.
From non-decorator flows use the low-level client: Opik(api_url=..., api_key=..., project_name=...), then client.trace(...), trace.span(...), and client.flush() before exit.
Prefer a prebuilt integration over manual instrumentation where one exists. Confirmed integrations include LangChain, LangGraph, LlamaIndex, CrewAI, DSPy, Haystack, Agno, AG2/Autogen, Smolagents, Pydantic AI, Semantic Kernel, Strands Agents, OpenAI Agents, Google ADK, Claude Agent SDK, and Temporal; providers OpenAI, Anthropic, Bedrock, Gemini, Groq, Mistral, Ollama, WatsonX, and xAI; TypeScript LangChain, Mastra, and the Vercel AI SDK; and gateways LiteLLM, Portkey, Helicone, and the Vercel AI Gateway.
Route traces into a specific project with the project_name argument per trace or the OPIK_PROJECT_NAME environment variable globally.
In tests and CI, set OPIK_TRACK_DISABLE=true to turn tracking off entirely rather than stripping decorators.
Other documented environment variables worth knowing: OPIK_DEFAULT_FLUSH_TIMEOUT, OPIK_CHECK_TLS_CERTIFICATE, OPIK_CONFIG_PATH, OPIK_CONSOLE_LOGGING_LEVEL, OPIK_ENVIRONMENT, and OPIK_SENTRY_ENABLE.
Known gotchas
The local self-hosted deployment via ./opik.sh (Docker Compose underneath) is explicitly documented as NOT production-ready. Only the Kubernetes path is described as production-ready. Do not put customer traffic behind opik.sh.
Keep the self-hosted server and the SDK version in sync. Older SDKs lack support for newer server features, and newer SDKs can require a minimum server version.
There is no documented global environment variable that disables prompt and completion content capture while keeping tracing on. The only content controls are the per-decorator capture_input and capture_output booleans; OPIK_TRACK_DISABLE turns off tracking entirely. Plan PII handling around that limitation.
The TypeScript decorator takes an object argument, @track({ type: 'llm' }), which differs from Python's inline keyword arguments. Copying Python examples into TypeScript fails.
Documentation pages for Opik render language-tabbed code, and automated extraction can return TypeScript snippets under a Python heading (getOrCreateDataset, scoringMetrics camelCase, and similar). Confirm the language tab before copying.
OPIK_URL_OVERRIDE is the documented custom-URL variable, confirmed against the SDK's config source. Do not use OPIK_BASE_URL; it is not a real variable.
The low-level client path requires an explicit client.flush() before process exit; the decorator path also accepts flush=True per call.
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