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g3/config.example.toml
2025-11-07 09:50:43 +11:00

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TOML

[providers]
default_provider = "databricks"
# Optional: Specify different providers for coach and player in autonomous mode
# If not specified, will use default_provider for both
# coach = "databricks" # Provider for coach (code reviewer)
# player = "anthropic" # Provider for player (code implementer)
# Note: Make sure the specified providers are configured below
[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 # Per-request output limit (how many tokens the model can generate per response)
# Note: This is different from max_context_length (total conversation history size)
temperature = 0.1
use_oauth = true
[agent]
fallback_default_max_tokens = 8192
# max_context_length: Override the context window size for all providers
# This is the total size of conversation history, not per-request output limit
# Useful for models with large context windows (e.g., Claude with 200k tokens)
# If not set, uses provider-specific defaults based on model capabilities
# max_context_length = 200000
enable_streaming = true
timeout_seconds = 60
# Retry configuration for recoverable errors (timeouts, rate limits, etc.)
max_retry_attempts = 3 # Default mode retry attempts
autonomous_max_retry_attempts = 6 # Autonomous mode retry attempts (higher for long-running tasks)
[computer_control]
enabled = false # Set to true to enable computer control (requires OS permissions)
require_confirmation = true
max_actions_per_second = 5