AI observability using OpenInference and Phoenix

README.md

@@ -24,7 +24,13 @@ A powerful yet simple multi-agent system using LangChain and LangGraph. Define e
    # Edit .env with your API keys
    ```
 
-3. **Run the system**:
+3. **Run Phoenix (observability)**
+   ```bash
+   phoenix serve &
+   ```
+   View will be able to view traces at http://localhost:6006/
+
+4. **Run the system**:
    ```bash
    # Interactive mode
    python main.py

main.py

@@ -11,6 +11,11 @@
 from datetime import datetime
 from typing import Dict, Any, List, Optional, Union
 from pathlib import Path
+from openinference.instrumentation.langchain import LangChainInstrumentor
+from phoenix.otel import register
+
+tracer_provider = register()
+LangChainInstrumentor().instrument(tracer_provider=tracer_provider)
 
 # Load environment variables
 from dotenv import load_dotenv

requirements.txt

@@ -8,4 +8,10 @@ pyyaml>=6.0
 python-dotenv>=1.0.0
 
 # For Arcade tools (optional)
-arcadepy>=1.0.0
+arcadepy>=1.0.0
+
+# Phoenix/OpenInference Observability
+arize-phoenix>=11.31.0
+openinference-instrumentation-langchain>=0.1.51
+opentelemetry-sdk>=1.28.2
+opentelemetry-exporter-otlp>=1.36.0