config.example.yml

# Configuration file for llm4hep supervisor-coder framework
#
# This file controls the LLM models and parameters used for testing.
# Copy this file to config.yml and customize for your experiments.

# Supervisor model - analyzes tasks and provides instructions to the coder
supervisor: lbl/cborg-deepthought:latest

# Coder model - generates Python code based on supervisor instructions  
coder: lbl/cborg-deepthought:latest

# Temperature for LLM generation (0.0 = deterministic, 1.0 = creative)
temperature: 0.0

# Optional: Maximum iterations per step (default: 10)
# Uncomment to limit supervisor-coder refinement loops
# max_iterations: 3

# Optional: Custom output directory
# Uncomment to specify where results should be saved
# out_dir: results/my_experiment

# Model Options:
# See CBORG_MODEL_MAPPINGS.md for available models including:
#
# Anthropic Claude:
#   - anthropic/claude-sonnet:latest
#   - anthropic/claude-opus:latest  
#   - anthropic/claude-haiku:latest
#
# OpenAI:
#   - openai/gpt-5-mini
#   - openai/gpt-5
#   - openai/o3
#   - openai/o3-mini
#   - openai/o4-mini
#
# Google Gemini:
#   - google/gemini:latest
#   - google/gemini-flash
#
# xAI Grok:
#   - xai/grok:latest
#   - xai/grok-mini
#
# AWS/Meta Llama:
#   - aws/llama-4-maverick
#   - aws/llama-4-scout
#
# Other:
#   - deepseek-r1
#   - gcp/qwen-3
#   - gpt-oss-120b