config.example.yml

# PatchPOC Configuration File
# Place this file at: ~/.patchpoc/config.yml or ./config.yml

# LLM Provider Configuration
# Options: openai, google, anthropic, deepseek
llm_provider: openai

# Global LLM Model (used for all agents unless overridden)
# OpenAI:     gpt-4o, o1-preview
# Google:     gemini/gemini-2.5-pro-preview-03-25
# Anthropic:  anthropic/claude-sonnet-4-20250514
# DeepSeek:   deepseek/deepseek-chat
llm_model: gpt-4o

# LLM Base URL (for custom/self-hosted endpoints)
# llm_base_url: https://api.openai.com/v1

# CrewAI Native Provider (optional)
# Forces CrewAI to use a specific SDK instead of LiteLLM.
# Options: openai, anthropic, gemini, azure, deepseek, ollama, hosted_vllm
# Auto-detected as "openai" when llm_base_url is set.
# crewai_provider: openai

# Common LLM Settings
temperature: 0.1
# max_tokens: null
# llm_timeout: 300  # seconds per LLM call (default: 300)
# stream: false     # Enable streaming responses from the LLM

# Per-Agent Model Overrides (optional)
# Different agents CAN use different models
# agent_models:
#   codeql_query: gpt-4o
#   code_analysis: anthropic/claude-sonnet-4-20250514
#   vuln_analysis: anthropic/claude-sonnet-4-20250514
#   report_writer: gpt-4o

# Per-Agent Temperature Overrides (optional)
# agent_temperatures:
#   vuln_analysis: 0.1

# API Keys (or set via environment variables)
# openai_api_key: your_openai_api_key_here
# google_api_key: your_google_api_key_here
# anthropic_api_key: your_anthropic_api_key_here
# deepseek_api_key: your_deepseek_api_key_here

# MCP Server Configuration
mcp_diff_server_url: http://localhost:8891
mcp_binql_server_url: http://localhost:8892

# CodeQL Configuration
# codeql_binary_path: /path/to/codeql/binary

# Docker Preprocessing
docker_image: patchpoc-preprocessor

# Agent Configuration
agent_max_iterations: 15
agent_verbose: false

# Analysis Settings
candidate_function_count: 25
deterministic_seed_min_confidence: 0.2

# Autonomous Loop Settings
max_loop_iterations: 3           # Max crew iterations before accepting best result
loop_accept_threshold: 0.7       # Quality score (0-1) to accept result immediately
# max_refinement_iterations: 2  # context-gap refinement loops (0 to disable)

# Logging
log_level: INFO