60aeb67c56
Implements comprehensive anti-detection measures: - Override navigator.webdriver to return undefined - Inject fake chrome.runtime, chrome.loadTimes, chrome.csi objects - Add realistic plugins and mimeTypes arrays - Patch permissions API to hide automation - Set realistic navigator properties (languages, hardwareConcurrency, deviceMemory) - Remove ChromeDriver-specific window properties (cdc_*) - Patch Function.prototype.toString to hide modifications - Add Chrome flags: --disable-blink-features=AutomationControlled - Set realistic user-agent without HeadlessChrome identifier - Exclude 'enable-automation' switch Tested against bot detection sites: - bot.sannysoft.com: All major tests pass - Search engines: Works with DuckDuckGo, Yahoo, Brave, Startpage - Still detected by: Google reCAPTCHA, Cloudflare Turnstile, Bing
126 lines
4.6 KiB
TOML
126 lines
4.6 KiB
TOML
# G3 Configuration Example
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#
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# This file demonstrates the new provider configuration format.
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# Provider references use the format: "<provider_type>.<config_name>"
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[providers]
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# Default provider used when no specific provider is specified
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default_provider = "anthropic.default"
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# Optional: Specify different providers for each mode
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# If not specified, these fall back to default_provider
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# planner = "anthropic.planner" # Provider for planning mode
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# coach = "anthropic.default" # Provider for coach (code reviewer) in autonomous mode
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# player = "anthropic.default" # Provider for player (code implementer) in autonomous mode
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# Named Anthropic configurations
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[providers.anthropic.default]
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api_key = "your-anthropic-api-key"
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model = "claude-sonnet-4-5"
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max_tokens = 64000
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temperature = 0.3
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# cache_config = "ephemeral" # Optional: Enable prompt caching
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# enable_1m_context = true # Optional: Enable 1M context (costs extra)
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# thinking_budget_tokens = 10000 # Optional: Enable extended thinking mode
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# Example: A separate config for planning mode with a more capable model
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# [providers.anthropic.planner]
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# api_key = "your-anthropic-api-key"
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# model = "claude-opus-4-5"
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# max_tokens = 64000
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# thinking_budget_tokens = 16000
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# Named Databricks configurations
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[providers.databricks.default]
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host = "https://your-workspace.cloud.databricks.com"
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# token = "your-databricks-token" # Optional - will use OAuth if not provided
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model = "databricks-claude-sonnet-4"
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max_tokens = 4096
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temperature = 0.1
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use_oauth = true
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# Named OpenAI configurations
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# [providers.openai.default]
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# api_key = "your-openai-api-key"
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# model = "gpt-4-turbo"
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# max_tokens = 4096
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# temperature = 0.1
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# Multiple OpenAI-compatible providers can be configured
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# [providers.openai_compatible.openrouter]
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# api_key = "your-openrouter-api-key"
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# model = "anthropic/claude-3.5-sonnet"
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# base_url = "https://openrouter.ai/api/v1"
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# max_tokens = 4096
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# temperature = 0.1
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# [providers.openai_compatible.groq]
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# api_key = "your-groq-api-key"
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# model = "llama-3.3-70b-versatile"
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# base_url = "https://api.groq.com/openai/v1"
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# max_tokens = 4096
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# temperature = 0.1
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[agent]
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fallback_default_max_tokens = 8192
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# max_context_length: Override the context window size for all providers
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# This is the total size of conversation history, not per-request output limit
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# max_context_length = 200000
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enable_streaming = true
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timeout_seconds = 60
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max_retry_attempts = 3
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autonomous_max_retry_attempts = 6
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allow_multiple_tool_calls = true
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# Retry Configuration for Planning/Autonomous Mode
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#
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# The retry infrastructure handles transient errors during LLM API calls:
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# - Rate limits (HTTP 429)
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# - Network errors (connection failures)
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# - Server errors (HTTP 5xx)
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# - Request timeouts
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# - Model capacity issues (model busy)
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#
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# Default retry behavior:
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# - max_retry_attempts: Used by default interactive mode (3 retries)
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# - autonomous_max_retry_attempts: Used by planning/autonomous mode (6 retries)
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#
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# Note: The retry logic uses exponential backoff with longer delays in
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# autonomous mode to handle rate limits gracefully.
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#
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# Example player retry config (in code):
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# RetryConfig::planning("player") # Creates: max_retries=3, is_autonomous=true
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# RetryConfig::planning("player").with_max_retries(6) # Override max retries
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#
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# Example coach retry config (in code):
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# RetryConfig::planning("coach") # Creates: max_retries=3, is_autonomous=true
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# RetryConfig::planning("coach").with_max_retries(6) # Override max retries
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#
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[computer_control]
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enabled = false # Set to true to enable computer control (requires OS permissions)
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require_confirmation = true
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max_actions_per_second = 5
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[webdriver]
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enabled = false
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safari_port = 4444
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chrome_port = 9515
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# Browser to use: "safari" (default) or "chrome-headless"
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# Safari opens a visible browser window
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# Chrome headless runs in the background without a visible window
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browser = "safari"
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# Optional: Path to Chrome binary (e.g., Chrome for Testing)
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# If not set, ChromeDriver will use the default Chrome installation
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# Use this to avoid version mismatch issues between Chrome and ChromeDriver
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# Run: ./scripts/setup-chrome-for-testing.sh to install matching versions
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# chrome_binary = "/Users/yourname/.chrome-for-testing/chrome-mac-arm64/Google Chrome for Testing.app/Contents/MacOS/Google Chrome for Testing"
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# chrome_binary = "/Users/yourname/.chrome-for-testing/chrome-mac-x64/Google Chrome for Testing.app/Contents/MacOS/Google Chrome for Testing"
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# Optional: Path to ChromeDriver binary
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# If not set, looks for 'chromedriver' in PATH
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# The setup script creates a symlink at ~/.local/bin/chromedriver
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# chromedriver_binary = "/Users/yourname/.local/bin/chromedriver"
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[macax]
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enabled = false
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