College Football MCP

# End-to-End Test Results for GPT-5 Migration ## Status: PARTIAL SUCCESS ### What's Working: 1. ✅ **Basic queries without tool calls** - Working correctly - Simple greetings and questions return proper responses - GPT-5 is responding with expected behavior 2. ✅ **Response extraction for simple queries** - Fixed - `extract_text_from_response()` helper function successfully extracts text from Responses API - Handles `output_text` field correctly ### Current Issues: 1. ❌ **Tool calling with Responses API** - Not working - When GPT-5 makes tool calls, the response structure contains `ResponseReasoningItem` objects in a list - The `response.output` field is a list, not a string - Our extraction logic isn't finding the text in the reasoning items - Error: `ValidationError: Input should be a valid string [type=string_type, input_value=[ResponseReasoningItem(...)], input_type=list]` ### Test Results: #### Test 1: Simple Query (No Tools) ✅ - **Query**: "Hello, can you help me?" - **Result**: SUCCESS - Returns proper response - **Response**: "Absolutely—what do you need help with? I can get you: - Live scores and today's games..." #### Test 2: Tool-Calling Query ❌ - **Query**: "What are Alabama recent game results?" - **Result**: FAIL - Internal Server Error - **Error**: Response contains list of `ResponseReasoningItem` objects instead of text #### Test 3: Today's Game Query ⚠️ - **Query**: "Did Miami win today?" - **Result**: PARTIAL - Returns but asks for clarification (Miami FL vs Miami OH) - **Response**: "Do you mean the Miami Hurricanes (Florida) or the Miami RedHawks (Ohio)?..." ### Root Cause: The Responses API with reasoning enabled (`reasoning={"effort": "medium"}`) returns reasoning items in the `output` field as a list of `ResponseReasoningItem` objects. When tool calls are made, the structure is different from simple text responses, and we haven't found where the actual text response is located within these reasoning items. ### Recommended Solutions: 1. **Option A**: Disable reasoning for tool-calling scenarios - Remove `reasoning` parameter when tools are involved - May reduce reasoning quality but should fix the structure issue 2. **Option B**: Use Chat Completions API for tool calling - Keep Responses API for simple queries - Use Chat Completions API when tools are needed - GPT-5 works with Chat Completions API (with reduced performance) 3. **Option C**: Investigate ResponseReasoningItem structure - Add detailed logging to inspect the actual structure - Find where the text response is stored within reasoning items - Update extraction logic accordingly ### Next Steps: 1. Add detailed logging to inspect `ResponseReasoningItem` structure 2. Test with reasoning disabled to see if that fixes tool calling 3. Consider hybrid approach (Responses API for simple, Chat Completions for tools)