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g3/config.coach-player.example.toml
2025-11-18 22:38:52 +11:00

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1.8 KiB
TOML

[providers]
default_provider = "databricks"
# Specify different providers for coach and player in autonomous mode
coach = "databricks" # Provider for coach (code reviewer) - can be more powerful/expensive
player = "anthropic" # Provider for player (code implementer) - can be faster/cheaper
[providers.databricks]
host = "https://your-workspace.cloud.databricks.com"
# token = "your-databricks-token" # Optional - will use OAuth if not provided
model = "databricks-claude-sonnet-4"
max_tokens = 4096
temperature = 0.1
use_oauth = true
# cache_config = "ephemeral" # Optional: Enable prompt caching for Claude models
# Options: "ephemeral", "5minute", "1hour"
# Reduces costs and latency for repeated prompts. Uses Anthropic's prompt caching with different TTLs.
# The cache control will be automatically applied to:
# - The system prompt at the start of each session
# - Assistant responses after every 10 tool calls
# - 5minute costs $3/mtok, more details below
# https://docs.claude.com/en/docs/build-with-claude/prompt-caching#pricing
[providers.anthropic]
api_key = "your-anthropic-api-key"
model = "claude-3-haiku-20240307" # Using a faster model for player
max_tokens = 4096
temperature = 0.3 # Slightly higher temperature for more creative implementations
# cache_config = "ephemeral" # Optional: Enable prompt caching
# Options: "ephemeral", "5minute", "1hour"
# Reduces costs and latency for repeated prompts. Uses Anthropic's prompt caching with different TTLs.
[agent]
fallback_default_max_tokens = 8192
enable_streaming = true
timeout_seconds = 60