[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

[providers.anthropic]
api_key = "your-anthropic-api-key"
model = "claude-sonnet-4-5"
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.
# enable_1m_context = true    # optional, more expensive


# Multiple OpenAI-compatible providers can be configured with custom names
# Each provider gets its own section under [providers.openai_compatible.<name>]
# [providers.openai_compatible.openrouter]
# api_key = "your-openrouter-api-key"
# model = "anthropic/claude-3.5-sonnet"
# base_url = "https://openrouter.ai/api/v1"
# max_tokens = 4096
# temperature = 0.1

# [providers.openai_compatible.groq]
# api_key = "your-groq-api-key"
# model = "llama-3.3-70b-versatile"
# base_url = "https://api.groq.com/openai/v1"
# max_tokens = 4096
# temperature = 0.1

# To use one of these providers, set default_provider to the name you chose:
# default_provider = "openrouter"

[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)
allow_multiple_tool_calls = true  # Enable multiple tool calls

[computer_control]
enabled = false  # Set to true to enable computer control (requires OS permissions)
require_confirmation = true
max_actions_per_second = 5