# g3 Configuration Example
#
# Most settings have sensible defaults. A minimal config only needs:
#
#   [providers]
#   default_provider = "anthropic.default"
#
#   [providers.anthropic.default]
#   api_key = "your-api-key"
#   model = "claude-sonnet-4-5"
#
# Everything else below is optional.

[providers]
default_provider = "anthropic.default"

# Optional: Specify different providers for each mode
# If not specified, these fall back to default_provider
# planner = "anthropic.planner"   # Provider for planning mode
# coach = "anthropic.default"     # Provider for coach in autonomous mode
# player = "anthropic.default"    # Provider for player in autonomous mode

[providers.anthropic.default]
api_key = "your-anthropic-api-key"
model = "claude-sonnet-4-5"
# max_tokens = 64000              # Optional (default: provider's max)
# temperature = 0.3               # Optional
# cache_config = "ephemeral"      # Optional: Enable prompt caching
# enable_1m_context = true        # Optional: Enable 1M context (costs extra)
# thinking_budget_tokens = 10000  # Optional: Enable extended thinking mode

# Example: A separate config for planning mode with a more capable model
# [providers.anthropic.planner]
# api_key = "your-anthropic-api-key"
# model = "claude-opus-4-5"
# thinking_budget_tokens = 16000

# Databricks provider example
# [providers.databricks.default]
# host = "https://your-workspace.cloud.databricks.com"
# model = "databricks-claude-sonnet-4"
# use_oauth = true

# OpenAI provider example
# [providers.openai.default]
# api_key = "your-openai-api-key"
# model = "gpt-4-turbo"

# OpenAI-compatible providers (OpenRouter, Groq, etc.)
# [providers.openai_compatible.openrouter]
# api_key = "your-openrouter-api-key"
# model = "anthropic/claude-3.5-sonnet"
# base_url = "https://openrouter.ai/api/v1"

# =============================================================================
# Embedded providers (local models via llama.cpp with Metal acceleration)
# =============================================================================
# Download models from Hugging Face:
#   huggingface-cli download bartowski/THUDM_GLM-4-32B-0414-GGUF \
#     --include "THUDM_GLM-4-32B-0414-Q6_K_L.gguf" --local-dir ~/.g3/models/
#
# GLM-4 32B - Top-tier local model for coding/reasoning (context_length auto-detected from GGUF)
# [providers.embedded.glm4]
# model_path = "~/.g3/models/THUDM_GLM-4-32B-0414-Q6_K_L.gguf"
# model_type = "glm4"            # Required: glm4, qwen, mistral, llama, codellama
# context_length = 32768         # Optional: auto-detected from GGUF (GLM-4 = 32K)
# max_tokens = 4096              # Optional: defaults to min(4096, context/4)
# temperature = 0.1
# gpu_layers = 99                # Use all GPU layers on Apple Silicon
# threads = 8

# GLM-4 9B - Smaller but very capable (minimal config - most settings auto-detected)
# [providers.embedded.glm4-9b]
# model_path = "~/.g3/models/THUDM_GLM-4-9B-0414-Q8_0.gguf"
# model_type = "glm4"
# gpu_layers = 99                # Optional but recommended for Apple Silicon

# Qwen3 4B - Small but powerful, good for ensemble usage (minimal config)
# [providers.embedded.qwen3]
# model_path = "~/.g3/models/qwen3-4b-q4_k_m.gguf"
# model_type = "qwen"
# gpu_layers = 99                # Optional but recommended for Apple Silicon

# =============================================================================
# Agent settings (all optional - these are the defaults)
# =============================================================================
# [agent]
# fallback_default_max_tokens = 8192
# enable_streaming = true
# timeout_seconds = 120
# auto_compact = true
# max_retry_attempts = 3
# autonomous_max_retry_attempts = 6
# max_context_length = 200000     # Override context window size

# =============================================================================
# Computer control (all optional - enabled by default)
# =============================================================================
# [computer_control]
# enabled = true                  # Requires OS accessibility permissions
# require_confirmation = true
# max_actions_per_second = 5

# =============================================================================
# WebDriver browser automation (all optional)
# =============================================================================
# [webdriver]
# enabled = true
# browser = "chrome-headless"     # Default. Alternative: "safari"
# chrome_binary = "/path/to/chrome"        # Optional: custom Chrome path
# chromedriver_binary = "/path/to/driver"  # Optional: custom ChromeDriver path