.env.example

# ===== Required =====
LLM_API_KEY=your_api_key_here
LLM_MODEL=deepseek-chat
LLM_API_BASE=https://api.deepseek.com/v1

# ===== Alternative models (uncomment one) =====
# LLM_MODEL=qwen-plus
# LLM_API_BASE=https://dashscope.aliyuncs.com/compatible-mode/v1

# LLM_MODEL=gpt-4o
# LLM_API_BASE=https://api.openai.com/v1

# ===== Optional: Agent behavior =====
# LLM_TEMPERATURE=0.7
# LLM_ORGANIZATION=                # OpenAI organization ID
# BASH_TIMEOUT=120                 # bash tool timeout in seconds
# BASH_MAX_OUTPUT=50000            # max bash output chars
# TOOL_RESULT_LIMIT=16000          # max tool result chars fed to LLM
# MAX_CONTEXT_MESSAGES=20          # auto-compress after this many messages
# CONFIRM_DANGEROUS=true           # confirm rm -rf, sudo, etc.
# MINIAGENT_STREAM=1               # 1=streaming on, 0=off
# MINIAGENT_HOME=~/.miniagent      # session memory storage path
# LOG_LEVEL=INFO                   # logging level (DEBUG/INFO/WARNING/ERROR)

# ===== Optional: Reflection =====
# ENABLE_REFLECTION=true
# REFLECTION_MAX_ITERATIONS=3

# ===== Optional: Web search =====
# SERPAPI_KEY=your_serpapi_key_here

# ===== Optional: Multi-provider aliases =====
# MiniAgent also reads OPENAI_API_KEY, DEEPSEEK_API_KEY, ANTHROPIC_API_KEY,
# AZURE_OPENAI_API_KEY as fallbacks if LLM_API_KEY is not set.
# See config.py for full fallback chain.