75fb725744
Reuses OpenAIProvider via Ollama's OpenAI-compatible API at localhost:11434. No API key needed - just install Ollama, pull a model, and set LLM_PROVIDER=ollama. Vision models (llava, llama3.2-vision) supported for screenshot fallback. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
102 lines
3.7 KiB
Plaintext
102 lines
3.7 KiB
Plaintext
# DroidClaw Configuration (TypeScript/Bun)
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# Copy this file to .env and fill in your settings
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# cp .env.example .env
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# ===========================================
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# Agent Configuration
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# ===========================================
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MAX_STEPS=30 # Maximum steps before stopping (30 for complex multi-app tasks)
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STEP_DELAY=2 # Seconds to wait between steps
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MAX_RETRIES=3 # Retries on ADB/network failures
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STUCK_THRESHOLD=3 # Steps before stuck-loop recovery kicks in
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# ===========================================
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# Vision Mode
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# ===========================================
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# "off" — never capture screenshots
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# "fallback" — only when accessibility tree is empty (default)
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# "always" — send screenshot every step (uses more tokens, best accuracy)
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VISION_MODE=fallback
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# ===========================================
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# Smart Element Filtering
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# ===========================================
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MAX_ELEMENTS=40 # Max UI elements sent to LLM (scored & ranked)
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# ===========================================
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# Session Logging
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# ===========================================
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LOG_DIR=logs # Directory for session JSON logs
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# ===========================================
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# Multi-turn Memory
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# ===========================================
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MAX_HISTORY_STEPS=10 # How many past steps to keep in conversation context
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# ===========================================
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# Streaming Responses
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# ===========================================
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STREAMING_ENABLED=true # Stream LLM responses (shows progress dots)
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# ===========================================
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# LLM Provider: "groq", "openai", "bedrock", "openrouter", or "ollama"
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# ===========================================
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LLM_PROVIDER=groq
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# ===========================================
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# Groq Configuration (Free tier available)
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# Get your key at: https://console.groq.com
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# ===========================================
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GROQ_API_KEY=gsk_your_key_here
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GROQ_MODEL=llama-3.3-70b-versatile
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# Other models: llama-3.1-8b-instant (faster, higher rate limits)
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# ===========================================
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# OpenAI Configuration
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# Get your key at: https://platform.openai.com
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# ===========================================
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OPENAI_API_KEY=sk-your_key_here
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OPENAI_MODEL=gpt-4o
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# Other models: gpt-4o-mini (faster, cheaper)
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# ===========================================
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# AWS Bedrock Configuration
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# Uses AWS credential chain (run 'aws configure' first)
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# ===========================================
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AWS_REGION=us-east-1
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BEDROCK_MODEL=us.meta.llama3-3-70b-instruct-v1:0
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# Other models:
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# anthropic.claude-3-sonnet-20240229-v1:0
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# anthropic.claude-3-haiku-20240307-v1:0
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# meta.llama3-8b-instruct-v1:0
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# ===========================================
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# OpenRouter Configuration (via Vercel AI SDK)
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# Access 200+ models through a single API
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# Get your key at: https://openrouter.ai/keys
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# ===========================================
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OPENROUTER_API_KEY=sk-or-v1-your_key_here
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OPENROUTER_MODEL=anthropic/claude-3.5-sonnet
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# Popular models:
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# anthropic/claude-3.5-sonnet (best reasoning)
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# openai/gpt-4o (multimodal)
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# google/gemini-2.0-flash-001 (fast + cheap)
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# meta-llama/llama-3.3-70b-instruct (open source)
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# mistralai/mistral-large-latest (European)
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# deepseek/deepseek-chat (cost efficient)
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# ===========================================
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# Ollama Configuration (local LLMs, no API key needed)
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# Install: https://ollama.com then: ollama pull llama3.2
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# ===========================================
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OLLAMA_BASE_URL=http://localhost:11434/v1
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OLLAMA_MODEL=llama3.2
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# Vision models (for screenshot support):
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# llava (7B, good vision)
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# llama3.2-vision (11B, best open-source vision)
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# Text-only models:
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# llama3.2 (3B, fast)
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# llama3.1 (8B, balanced)
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# qwen2.5 (7B, strong reasoning)
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# mistral (7B, fast)
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