Merge pull request #200 from aristotle-ai/main

Support for OpenAI Agents SDK, update Trace in Langchain-RAG, Multiple bug-fixes

Author: kiranscaria

examples/autogen/crisis_response_coordinator/OAI_CONFIG_LIST.json

@@ -1,15 +1,11 @@
-import sys
-sys.path.append('.')
-
-from ragaai_catalyst import RagaAICatalyst, init_tracing
-from ragaai_catalyst.tracers import Tracer
-
 import os
 from dotenv import load_dotenv
 from crewai import Agent, Task, Crew, Process
 from crewai.tools import tool
 from typing import Any
 
+from ragaai_catalyst import RagaAICatalyst, init_tracing
+from ragaai_catalyst.tracers import Tracer
 
 load_dotenv()
 
@@ -98,4 +94,4 @@ def write_to_file(filename: str, content: str) -> str:
         print("\nGenerated Story Content:")
         print(file.read())
 except FileNotFoundError:
-    print("Story file not found. Check the writer agent's execution.")
+    print("Story file not found. Check the writer agent's execution.")

examples/autogen/crisis_response_coordinator/crisis_response_coordinator.py

@@ -0,0 +1,71 @@
+# Email Data Extraction with OpenAI Agents SDK
+
+This example demonstrates how to use the OpenAI Agents SDK with RagaAI Catalyst to extract structured information from emails.
+
+## Overview
+
+The application uses OpenAI's Agents SDK to parse unstructured email text and extract key information such as:
+- Email subject and sender details
+- Main discussion points
+- Meeting information (date, time, location)
+- Action items and tasks with assignees
+- Next steps
+
+The extracted data is structured using Pydantic models for easy manipulation and validation.
+
+## Requirements
+
+- Python 3.8+
+- OpenAI API key
+- RagaAI Catalyst credentials
+
+## Installation
+
+1. Clone the repository
+2. Install the required dependencies:
+```bash
+pip install -r requirements.txt
+```
+3. Copy [sample.env](cci:7://file:///Users/ragaai_user/work/ragaai-catalyst/examples/openai_agents_sdk/sample.env:0:0-0:0) to [.env](cci:7://file:///Users/ragaai_user/work/ragaai-catalyst/examples/openai_agents_sdk/sample.env:0:0-0:0) and fill in your API keys:
+```bash
+cp sample.env .env
+```
+
+## Environment Variables
+
+Configure the following environment variables in your [.env](cci:7://file:///Users/ragaai_user/work/ragaai-catalyst/examples/openai_agents_sdk/sample.env:0:0-0:0) file:
+
+- `OPENAI_API_KEY`: Your OpenAI API key
+- `CATALYST_ACCESS_KEY`: Your RagaAI Catalyst access key
+- `CATALYST_SECRET_KEY`: Your RagaAI Catalyst secret key
+- `CATALYST_BASE_URL`: RagaAI Catalyst base URL
+- `PROJECT_NAME`: Name for your project in RagaAI Catalyst (default: 'email-extraction')
+- `DATASET_NAME`: Name for your dataset in RagaAI Catalyst (default: 'email-data')
+
+## Usage
+
+Run the example script:
+
+```bash
+python data_extraction_email.py
+```
+The script will:
+
+1. Initialize the RagaAI Catalyst client for tracing
+2. Set up an OpenAI Agent with appropriate instructions
+3. Process a sample email to extract structured data
+4. Display the extracted information
+
+## Customization
+
+You can modify the `sample_email` variable in the script to process different emails, or adapt the code to read emails from files or an API.
+
+The Pydantic models (`Person`, `Meeting`, `Task`, `EmailData`) can be extended to capture additional information as needed.
+
+## Integration with RagaAI Catalyst
+
+This example integrates with RagaAI Catalyst for tracing and monitoring agent interactions. The integration helps with:
+
+- Tracking agent performance
+- Debugging complex agent workflows
+- Collecting data for future improvements