.env.example

# =============================================================================
# AgentIR Server Configuration
# =============================================================================
# Copy this file to .env and fill in your values:
#   cp .env.example .env
#
# The server loads this file automatically on startup (requires python-dotenv).
# Alternatively, set these as environment variables directly.
# =============================================================================

# ---- LLM Provider ----
# Supported: deepseek, openai, anthropic, ollama, groq, together, custom
AGENTIR_LLM_PROVIDER=deepseek

# ---- LLM Model ----
# Leave empty to use the provider default.
# DeepSeek: deepseek-chat, deepseek-reasoner
# OpenAI:   gpt-4o, gpt-4o-mini
# Ollama:   llama3, mistral, etc.
AGENTIR_LLM_MODEL=deepseek-chat

# ---- API Key ----
# Use AGENTIR_LLM_API_KEY for a generic key, or use provider-specific ones below.
# Priority: AGENTIR_LLM_API_KEY > provider-specific > empty
AGENTIR_LLM_API_KEY=

# Provider-specific API keys (fallback if AGENTIR_LLM_API_KEY is not set):
DEEPSEEK_API_KEY=sk-your-deepseek-api-key
# OPENAI_API_KEY=sk-your-openai-api-key
# ANTHROPIC_API_KEY=sk-ant-your-key
# GROQ_API_KEY=gsk_your_key
# TOGETHER_API_KEY=your_key

# ---- Base URL (optional) ----
# Override the API endpoint. Useful for proxies or self-hosted models.
# AGENTIR_LLM_BASE_URL=https://api.deepseek.com

# ---- LLM Parameters (optional) ----
# AGENTIR_LLM_TEMPERATURE=0.7
# AGENTIR_LLM_MAX_TOKENS=4096

# ---- Artifact Storage ----
# Directory where generated workflows, requirements, and execution logs are stored.
# Defaults to ./artifacts (relative to the working directory).
# AGENTIR_ARTIFACTS_DIR=./artifacts

# ---- User Tools ----
# Directory containing user-defined Python tools (async def execute functions).
# Defaults to ./tools (relative to the working directory).
# AGENTIR_TOOLS_DIR=./tools

# ---- Server Settings ----
# AGENTIR_HOST=0.0.0.0
# AGENTIR_PORT=8000
# AGENTIR_DEBUG=false