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--- |
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title: Template Final Assignment |
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emoji: 🕵🏻♂️ |
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colorFrom: indigo |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.25.2 |
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python_version: 3.11 |
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app_file: app.py |
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pinned: false |
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hf_oauth: true |
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hf_oauth_expiration_minutes: 480 |
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--- |
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# SmolaAgents Course Final Assignment |
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This application is a demonstration of creating a robust agent system with monitoring and tracing capabilities. |
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## Features |
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- **Multi-Agent System**: Uses a manager agent to orchestrate a specialized web agent. |
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- **Advanced Models**: Leverages Qwen and DeepSeek models through HuggingFace's Inference API. |
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- **Gradio Interface**: Simple UI for agent interaction and evaluation. |
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- **Comprehensive Tracing**: Integrated observability through Langfuse and Phoenix. |
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## Tracing and Monitoring |
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The application includes a modular tracing system that supports both: |
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### Langfuse |
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- Cloud-based LLM observability platform |
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- Configure with environment variables: |
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- `LANGFUSE_PUBLIC_KEY` |
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- `LANGFUSE_SECRET_KEY` |
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- `LANGFUSE_HOST` (defaults to EU region) |
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### Arize Phoenix |
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- Local, open-source LLM observability tool |
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- Start the Phoenix UI with: |
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``` |
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python -m phoenix.server.main serve |
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``` |
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- View traces at http://localhost:6006 |
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You can configure which tracing system to use: |
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```python |
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# Use Langfuse (default) |
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initialize_tracing(provider="langfuse") |
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# Use Phoenix |
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initialize_tracing(provider="phoenix") |
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``` |
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Due to limitations in the OpenTelemetry integration, only one provider can be active at a time. Simply choose the provider that best meets your needs. |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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