[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-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

[agent]
fallback_default_max_tokens = 8192
enable_streaming = true
timeout_seconds = 60
allow_multiple_tool_calls = true  # Enable multiple tool calls, will usually only work with Anthropic