mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-14 10:17:55 +00:00
feat: OTEL
This commit is contained in:
1 parent
d1b9798f62
commit
7ca33b2b72
5 files changed
+279
-10
No files matched your search
@@ -0,0 +1,111 @@
|
||||
---
|
||||
title: Observability
|
||||
description: Send traces, metrics, and logs from DocsGPT to any OpenTelemetry-compatible backend (Axiom, Honeycomb, Grafana, Datadog, Jaeger, etc.).
|
||||
---
|
||||
|
||||
import { Callout } from 'nextra/components'
|
||||
|
||||
# Observability
|
||||
|
||||
DocsGPT bundles the OpenTelemetry SDK and auto-instrumentation packages
|
||||
in `application/requirements.txt` — they install with the rest of the
|
||||
backend deps. Telemetry is **off by default**; opt in by prefixing the
|
||||
launch command with `opentelemetry-instrument` and setting OTLP env
|
||||
vars.
|
||||
|
||||
Auto-instrumentation covers Flask, Starlette, Celery, SQLAlchemy,
|
||||
psycopg, Redis, requests, and Python logging. LLM/retriever calls are
|
||||
not captured at this layer — see *Going further* below.
|
||||
|
||||
## Enabling
|
||||
|
||||
Set these env vars in your `.env` (or compose `environment:` block):
|
||||
|
||||
```bash
|
||||
OTEL_SDK_DISABLED=false
|
||||
OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
|
||||
OTEL_EXPORTER_OTLP_ENDPOINT=https://your-collector.example.com
|
||||
OTEL_EXPORTER_OTLP_HEADERS=Authorization=Bearer%20<token>
|
||||
OTEL_TRACES_EXPORTER=otlp
|
||||
OTEL_METRICS_EXPORTER=otlp
|
||||
OTEL_LOGS_EXPORTER=otlp
|
||||
OTEL_PYTHON_LOG_CORRELATION=true
|
||||
OTEL_RESOURCE_ATTRIBUTES=service.name=docsgpt-backend,deployment.environment=prod
|
||||
```
|
||||
|
||||
Then prefix the process command with `opentelemetry-instrument`. The
|
||||
simplest way is a compose override (no image rebuild):
|
||||
|
||||
```yaml
|
||||
# deployment/docker-compose.override.yaml
|
||||
services:
|
||||
backend:
|
||||
command: >
|
||||
opentelemetry-instrument gunicorn -w 1 -k uvicorn_worker.UvicornWorker
|
||||
--bind 0.0.0.0:7091 --config application/gunicorn_conf.py
|
||||
application.asgi:asgi_app
|
||||
environment:
|
||||
- OTEL_SERVICE_NAME=docsgpt-backend
|
||||
worker:
|
||||
command: opentelemetry-instrument celery -A application.app.celery worker -l INFO -B
|
||||
environment:
|
||||
- OTEL_SERVICE_NAME=docsgpt-celery-worker
|
||||
```
|
||||
|
||||
For local dev, prepend `dotenv run --` so the `OTEL_*` vars from `.env`
|
||||
reach `opentelemetry-instrument` before it boots the SDK:
|
||||
|
||||
```bash
|
||||
dotenv run -- opentelemetry-instrument flask --app application/app.py run --port=7091
|
||||
dotenv run -- opentelemetry-instrument celery -A application.app.celery worker -l INFO --pool=solo
|
||||
```
|
||||
|
||||
|
||||
<Callout type="info" emoji="ℹ️">
|
||||
Logs are exported in-process when `OTEL_LOGS_EXPORTER=otlp` is set —
|
||||
`application/core/logging_config.py` detects the flag and preserves
|
||||
the OTEL log handler. Without it, `logging` writes only to stdout.
|
||||
</Callout>
|
||||
|
||||
## Backend examples
|
||||
|
||||
### Axiom
|
||||
|
||||
```bash
|
||||
OTEL_EXPORTER_OTLP_ENDPOINT=https://api.axiom.co
|
||||
OTEL_EXPORTER_OTLP_HEADERS=Authorization=Bearer%20xaat-XXXX,X-Axiom-Dataset=docsgpt
|
||||
OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
|
||||
```
|
||||
|
||||
`%20` is the URL-encoded space between `Bearer` and the token. Create
|
||||
the dataset in the Axiom UI before sending.
|
||||
|
||||
### Self-hosted OTLP collector / Jaeger / Tempo
|
||||
|
||||
```bash
|
||||
OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4317
|
||||
OTEL_EXPORTER_OTLP_PROTOCOL=grpc
|
||||
```
|
||||
|
||||
### Honeycomb / Grafana Cloud / Datadog
|
||||
|
||||
Each vendor publishes a single-line `OTEL_EXPORTER_OTLP_ENDPOINT` plus
|
||||
`OTEL_EXPORTER_OTLP_HEADERS` recipe — drop them in alongside the
|
||||
service-name override.
|
||||
|
||||
## Caveats
|
||||
|
||||
- The Dockerfile uses `gunicorn -w 1`. If you raise worker count, move
|
||||
SDK init into a `post_worker_init` hook to avoid one-thread-per-process
|
||||
exporter contention.
|
||||
- `asgi.py` wraps Flask in Starlette's `WSGIMiddleware`. Both
|
||||
instrumentors are installed, so each request produces a Starlette
|
||||
span enclosing a Flask span. Drop
|
||||
`opentelemetry-instrumentation-flask` from `requirements.txt` if the
|
||||
duplication is noisy.
|
||||
- OTEL packages add ~50 MB to the image. They install on every build —
|
||||
the runtime cost is zero unless you set `opentelemetry-instrument` on
|
||||
the command and set the OTLP env vars.
|
||||
- The OTEL exporter ecosystem currently caps `protobuf` at `<7`, so the
|
||||
backend runs on protobuf 6.x. This will catch up in a future OTEL
|
||||
release.
|
||||
@@ -23,6 +23,10 @@ export default {
|
||||
"title": "🐘 PostgreSQL for User Data",
|
||||
"href": "/Deploying/Postgres-Migration"
|
||||
},
|
||||
"Observability": {
|
||||
"title": "🔭 Observability",
|
||||
"href": "/Deploying/Observability"
|
||||
},
|
||||
"Amazon-Lightsail": {
|
||||
"title": "Hosting DocsGPT on Amazon Lightsail",
|
||||
"href": "/Deploying/Amazon-Lightsail",
|
||||
|
||||
Reference in new issue
Block a user