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portainer-core/services/core-ai/pytest.ini
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jpmschweitzerandClaude 53267e1665 feat(ai): migrate from Google ADK to PydanticAI with working tool calling
Major Changes:
- Replace Google ADK with PydanticAI framework for agent orchestration
- Implement OpenAI-compatible API endpoint for Ollama integration
- Fix streaming response to send deltas instead of cumulative text
- Add /chat/completions route alias for Open-WebUI compatibility
- Enable tool calling with 5 local tools (calculate, date/time utilities)

Architecture:
- Core-AI service: Standalone Python service with PydanticAI agent
- PydanticAI: Uses OpenAI-compatible Ollama API at /v1 endpoint
- Tool Registry: Shared tool system between core-ai and core-api
- Streaming: Fixed async context issues and delta calculation

Verified Working:
 Chat completion (streaming & non-streaming)
 Tool calling with mistral-nemo and mistral-tools models
 Open-WebUI integration via core-ai:8086
 5 tools: calculate, get_current_time, get_current_date, calculate_date_difference, add_days_to_date
 Proper streaming deltas (no repetition)

Technical Details:
- PydanticAI 1.25.0+ with full Ollama support
- Async context manager issue resolved via chunk collection
- Delta calculation: chunk[len(previous):] to extract new content only
- Routes: /v1/chat/completions and /chat/completions (Open-WebUI compat)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-30 10:31:14 +01:00

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INI

[pytest]
# Pytest configuration for core-ai tests
# Test discovery patterns
python_files = test_*.py
python_classes = Test*
python_functions = test_*
# Output options
addopts =
-v
--tb=short
--strict-markers
--color=yes
# Markers
markers =
asyncio: mark test as async
# Asyncio configuration
asyncio_mode = auto
# Log configuration
log_cli = true
log_cli_level = INFO
log_cli_format = %(asctime)s [%(levelname)8s] %(message)s
log_cli_date_format = %Y-%m-%d %H:%M:%S
# Test paths
testpaths = tests diagnostics