Clelia (Astra) Bertelli
1.5 KiB
Agents Observability Demo
With LlamaIndex and OpenTelemetry!
This demo showcases a solution for agent observability and tracing by building on the LlamaIndex x OpenTelemetry integration.
It traces the activity of an agent capable of extracting information from a University course syllabus (with LlamaExtract) and answer questions about it (with a LlamaCloud Index in the backend).
The agents tool are served via MCP!
Get it up and running!
Get the GitHub repository:
git clone https://github.com/run-llama/agents-observability-demo
Install dependencies:
cd agents-observability-demo/
uv sync
And then modify the .env.example file with your API keys and move it to .env.
mv .env.example .env
Now, you will have to execute the following scripts:
uv run tools/create_llama_extract_agent.py
uv run tools/create_llama_cloud_index.py
You're ready to set up the app!
Launch a local Postgres database + a local Jaeger instance to record OpenTelemetry traces:
docker compose up -d
Run the MCP server:
uv run src/agents_observability_demo/server.py
In a separate window, run the websocket:
uv run src/agents_observability_demo/websocket.py
Last, run the Gradio frontend, and start exploring at http://localhost:7860:
uv run src/agents_observability_demo/main.py
Contributing
Contribute to this project following the guidelines.
License
This project is provided under an MIT License.