✅ Backend has been restarted with the fixed code
✅ The tool_names variable has been removed from prompt template
✅ Server is running on http://0.0.0.0:8000
File: Ai_powered_interview_coach/backend/app/services/agents/resume_agent_service.py
Before:
return PromptTemplate(
template=template,
input_variables=["input", "tools", "tool_names", "agent_scratchpad"]
)After:
return PromptTemplate(
template=template,
input_variables=["input", "tools", "agent_scratchpad"]
)- Go to the frontend (http://localhost:3000 or your frontend URL)
- Upload a new resume file
- The resume will be processed through:
- Text extraction
- Skill extraction
- AI analysis (this is where the fix applies)
Watch for these messages in the backend logs:
Good Signs ✅:
Agent initialized with 6 tools, max_iterations=8, max_execution_time=60.0s
Agent executed successfully in XXXms with X reasoning steps
Agent output successfully validated and parsed
Bad Signs ❌:
Agent analysis failed: Prompt missing required variables: {'tool_names'}
After ~30-60 seconds, check the resume analysis:
- Status should be:
"success"(not"fallback") - Analysis should contain: AI-generated insights, not generic recommendations
- Fields should have: Real data from the resume, not placeholder values
{
"status": "fallback",
"analysis_data": {
"skill_inventory": {
"tools": ["Render", "Docker", ...],
"note": "Fallback analysis - generic recommendations"
},
"fallback_used": true
}
}{
"status": "success",
"analysis_data": {
"skill_inventory": {
"technical_skills": [...],
"soft_skills": [...],
"tools": [...]
},
"experience_timeline": {
"positions": [...],
"progression": "..."
},
"skill_gaps": {
"missing_skills": [...],
"recommendations": [...]
},
"improvement_roadmap": {
"timeline_weeks": 12,
"milestones": [...]
},
"fallback_used": false
}
}Check the backend logs for the actual error. Common issues:
-
Token Limit Error
- Solution: Reduce
max_iterationsfurther (currently 8) - Or: Simplify the prompt template
- Solution: Reduce
-
Tool Execution Error
- Solution: Check if all 6 tools are registered correctly
- Verify tool implementations
-
JSON Parsing Error
- Solution: Check if agent output is valid JSON
- Verify
_validate_and_parse_outputmethod
-
Different Error
- Share the exact error message from logs
- We'll fix it accordingly
# Check if backend is running
Get-Process python
# Restart if needed
taskkill /F /IM python.exe
cd Ai_powered_interview_coach/backend
python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000Delete old analysis records from database to test fresh:
DELETE FROM resume_analyses WHERE status = 'fallback';The backend logs are printed to console. Look for:
- Agent initialization messages
- Tool execution messages
- Final output validation messages