OpenTelemetry FastAPI Instrumentation
raw JSON → 0.61b0 verified Tue May 12 auth: no python install: stale quickstart: stale
OpenTelemetry FastAPI Instrumentation provides automatic and manual instrumentation for FastAPI web frameworks. It allows for comprehensive application performance monitoring (APM), distributed tracing, and observability by collecting traces and metrics from HTTP requests, database queries, and external API calls with minimal code changes. The library is currently in beta (version 0.61b0) and is part of the broader `opentelemetry-python-contrib` project, which sees frequent updates across its various instrumentations.
pip install opentelemetry-instrumentation-fastapi opentelemetry-exporter-otlp Common errors
error ModuleNotFoundError: No module named 'opentelemetry.instrumentation.fastapi' ↓
cause The `opentelemetry-instrumentation-fastapi` package or its underlying dependencies (like `opentelemetry-instrumentation-asgi`) are not installed in the current Python environment.
fix
Install the necessary packages:
pip install opentelemetry-instrumentation-fastapi opentelemetry-instrumentation-asgi. error OpenTelemetry traces not appearing when running FastAPI with uvicorn --reload or --workers N ↓
cause `uvicorn --reload` and `uvicorn --workers N` modes create child processes, which can cause OpenTelemetry SDK initialization in the parent process to not correctly propagate or lead to conflicts in the children, breaking instrumentation.
fix
For development, avoid
--reload or initialize OpenTelemetry within FastAPI's lifespan events in each worker. For production with multiple workers, use Gunicorn with Uvicorn workers and initialize OpenTelemetry within Gunicorn's post_fork hook or FastAPI's lifespan events in the worker process. error OpenTelemetry FastAPI not instrumenting / traces not showing up (no Python error) ↓
cause The `FastAPIInstrumentor.instrument_app(app)` call or `opentelemetry.instrumentation.auto_instrumentation.initialize()` is being executed after the FastAPI application instance (`app`) has already been created or imported, preventing the instrumentation from correctly patching the framework's internal components.
fix
Ensure that
FastAPIInstrumentor.instrument_app(app) is called immediately after the FastAPI app is defined, or ensure opentelemetry.instrumentation.auto_instrumentation.initialize() is called *before* importing fastapi or creating the FastAPI app instance. error OpenTelemetry FastAPI traces not sent to collector / OTLP exporter connection refused ↓
cause The OpenTelemetry exporter is misconfigured, often due to an incorrect OTLP endpoint URL, using the wrong port for HTTP vs. gRPC protocols, or the OpenTelemetry Collector/backend not running or being inaccessible.
fix
Verify the
OTEL_EXPORTER_OTLP_ENDPOINT (or OTEL_EXPORTER_OTLP_TRACES_ENDPOINT) environment variable is correctly set, including the protocol (e.g., http://localhost:4318 for HTTP, grpc://localhost:4317 for gRPC). Ensure the OpenTelemetry Collector or tracing backend is running and reachable at the specified address and port. Warnings
gotcha The `opentelemetry-instrumentation-fastapi` library is currently in beta (indicated by the `b0` suffix in the version). This means its API and behavior might be subject to breaking changes in future releases before reaching a stable `1.0.0` version. ↓
fix Always check the `CHANGELOG.md` in the `opentelemetry-python-contrib` repository before upgrading to new beta versions. Pin your dependency versions to avoid unexpected changes.
breaking Support for FastAPI versions earlier than 0.92 has been dropped. Using older FastAPI versions will lead to `FastAPIInstrumentor` failing to properly instrument your application or causing unexpected errors. ↓
fix Ensure your project uses FastAPI version 0.92.0 or newer. Upgrade FastAPI if necessary (`pip install "fastapi>=0.92.0"`).
gotcha When running FastAPI with `uvicorn --reload` (development mode) or with multiple worker processes (e.g., `uvicorn --workers N` or `gunicorn` with `uvicorn.workers.UvicornWorker`), OpenTelemetry SDK initialization can cause issues due to Python's process forking model. Background threads and shared resources from the parent process are not correctly replicated in child workers. ↓
fix Initialize OpenTelemetry SDK and `FastAPIInstrumentor.instrument_app()` within FastAPI's `lifespan` event handlers or within Gunicorn's `post_fork` hook. This ensures each worker process has its own isolated and correctly initialized OpenTelemetry components. Avoid `uvicorn --reload` when reliable tracing is required.
gotcha The order of instrumentation is critical. `FastAPIInstrumentor.instrument_app(app)` must be called after the FastAPI application instance (`app`) has been created but before the application starts processing requests. Improper ordering can lead to incomplete tracing or errors. ↓
fix Ensure `FastAPIInstrumentor.instrument_app(app)` is called early in your application's startup, typically immediately after `app = FastAPI()` or within a `lifespan` event. If using `opentelemetry-bootstrap`, ensure `initialize()` is called before importing FastAPI.
gotcha OpenTelemetry semantic conventions, which define naming for attributes and spans, can evolve. For example, `aws.region` was changed to `cloud.region`. This can affect how your telemetry data is displayed in older or un-updated observability backends. ↓
fix Regularly consult the official OpenTelemetry semantic conventions for HTTP and other relevant signals. Update your observability backend to the latest versions to ensure proper interpretation of attributes. If using custom parsers, adjust them accordingly.
breaking The `opentelemetry-instrumentation-fastapi` library requires `fastapi` as a peer dependency. This means `fastapi` must be explicitly installed in your project environment for the instrumentation to function. A `ModuleNotFoundError: No module named 'fastapi'` indicates that the `fastapi` package is missing. ↓
fix Ensure `fastapi` is included in your project's dependencies and installed (e.g., `pip install fastapi`).
breaking The `fastapi` package must be installed for `opentelemetry-instrumentation-fastapi` to function. This error occurs when FastAPI is not found in the Python environment. ↓
fix Ensure FastAPI is installed in your project's environment using `pip install fastapi` (or `pip install "fastapi[all]"` for full features). If using a virtual environment or Docker, verify it's correctly activated/configured.
Install compatibility stale last tested: 2026-05-12
python os / libc status wheel install import disk
3.10 alpine (musl) - - - -
3.10 slim (glibc) - - - -
3.11 alpine (musl) - - - -
3.11 slim (glibc) - - - -
3.12 alpine (musl) - - - -
3.12 slim (glibc) - - - -
3.13 alpine (musl) - - - -
3.13 slim (glibc) - - - -
3.9 alpine (musl) - - - -
3.9 slim (glibc) - - - -
Imports
- FastAPIInstrumentor
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
Quickstart stale last tested: 2026-04-23
import os
from contextlib import asynccontextmanager
from fastapi import FastAPI
from opentelemetry import trace
from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
# Configure OpenTelemetry SDK
# It is recommended to initialize OpenTelemetry within FastAPI's lifespan events
# when using multi-process servers (e.g., uvicorn --workers > 1 or gunicorn).
# For simple single-process development, top-level initialization is sufficient.
def setup_tracing():
resource = Resource.create(attributes={
"service.name": os.environ.get("OTEL_SERVICE_NAME", "my-fastapi-app")
})
tracer_provider = TracerProvider(resource=resource)
# Use OTLP HTTP exporter for traces
# OTLP endpoint can be configured via environment variable OTEL_EXPORTER_OTLP_ENDPOINT
# Default is http://localhost:4318/v1/traces for HTTP
otlp_exporter = OTLPSpanExporter(
endpoint=os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4318/v1/traces")
)
span_processor = BatchSpanProcessor(otlp_exporter)
tracer_provider.add_span_processor(span_processor)
trace.set_tracer_provider(tracer_provider)
print("OpenTelemetry tracing initialized.")
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup logic: Initialize OpenTelemetry
setup_tracing()
FastAPIInstrumentor.instrument_app(app)
yield
# Shutdown logic: Flush and shutdown exporter
provider = trace.get_tracer_provider()
if hasattr(provider, 'shutdown'):
provider.shutdown()
print("OpenTelemetry tracing shutdown.")
# Initialize FastAPI app with lifespan events
app = FastAPI(lifespan=lifespan)
@app.get("/hello")
async def read_root():
return {"message": "Hello, World!"}
@app.get("/items/{item_id}")
async def read_item(item_id: int):
return {"item_id": item_id, "message": "Item fetched"}
# To run this application:
# 1. Save it as main.py
# 2. Run from your terminal:
# OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318/v1/traces" OTEL_SERVICE_NAME="my-fastapi-app" uvicorn main:app --port 8000 --reload --lifespan on
# Note: For production, omit --reload and manage workers via gunicorn post_fork hooks if using multiple workers.
# 3. Access in browser: http://localhost:8000/hello or http://localhost:8000/items/123