Web UI for viewing traces from the [traceflow-ai](https://pypi.org/project/traceflow-ai/) SDK.
1.4K
Traceflow is a local AI observability stack for LLM apps. The image runs the Traceflow dashboard (API + UI): it receives traces from the Python SDK and shows them in a simple UI (traces, spans, cost, latency). Backend is FastAPI with SQLite; no external database. Use it to inspect and debug LLM calls from your app without a cloud service.
How to run
docker run -p 8000:8000 iamkalio/traceflow-dashboard
Open http://localhost:8000 for the dashboard. In your app, install the SDK (pip install traceflow-ai[openai]), call traceflow_ai.init(endpoint="http://localhost:8000"), and use the OpenAI client as usual; traces will show up in the dashboard.
Content type
Image
Digest
sha256:32f3a6ad0…
Size
55.8 MB
Last updated
7 months ago
docker pull iamkalio/traceflow-dashboard