context-branching/.env.example at main · glanzz/context-branching · GitHub

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# Example environment configuration for Context Branching SDK
# Copy this file to .env and fill in your values
# Usage: cp .env.example .env

# =============================================================================
# LLM API Keys (Choose your provider)
# =============================================================================

# OpenAI Configuration
OPENAI_API_KEY=sk-your-openai-api-key-here
# Alternative name also supported:
# OPENAI_KEY=sk-your-openai-api-key-here

# Anthropic Configuration
ANTHROPIC_API_KEY=sk-ant-your-anthropic-api-key-here
# Alternative name also supported:
# ANTHROPIC_KEY=sk-ant-your-anthropic-api-key-here

# =============================================================================
# LLM Provider Settings
# =============================================================================

# Which provider to use (optional - auto-detects from API keys)
# Options: openai, anthropic, local
LLM_PROVIDER=openai

# Model name (optional - uses provider defaults if not set)
# OpenAI models: gpt-4, gpt-4-turbo, gpt-3.5-turbo
# Anthropic models: claude-3-5-sonnet-20241022, claude-3-opus-20240229, claude-3-haiku-20240307
# Local models: llama3, mistral, etc.
LLM_MODEL=gpt-4

# Sampling temperature (0.0 = deterministic, 1.0 = creative)
LLM_TEMPERATURE=0.7

# Maximum tokens in response
LLM_MAX_TOKENS=4096

# =============================================================================
# Local Model Configuration (for Ollama, LM Studio, etc.)
# =============================================================================

# Base URL for local model API (OpenAI-compatible)
LOCAL_MODEL_URL=http://localhost:11434/v1

# =============================================================================
# Storage Configuration
# =============================================================================

# Where to store workspace data
STORAGE_PATH=./data/workspaces

# Storage backend type
STORAGE_BACKEND=file  # Options: file, memory, custom

# =============================================================================
# Application Configuration
# =============================================================================

# Web application port
APP_PORT=5000

# Enable debug mode (development only)
APP_DEBUG=false

# =============================================================================
# Publication/Research Settings
# =============================================================================

# Directory for publication outputs
PUBLICATION_DATA_PATH=./publication_data

# =============================================================================
# Quick Setup Examples
# =============================================================================

# Example 1: OpenAI GPT-4
#   LLM_PROVIDER=openai
#   LLM_MODEL=gpt-4
#   OPENAI_API_KEY=sk-...

# Example 2: Anthropic Claude
#   LLM_PROVIDER=anthropic
#   LLM_MODEL=claude-3-5-sonnet-20241022
#   ANTHROPIC_API_KEY=sk-ant-...

# Example 3: Local Llama3 (Free!)
#   LLM_PROVIDER=local
#   LLM_MODEL=llama3
#   LOCAL_MODEL_URL=http://localhost:11434/v1

# Example 4: Auto-detect (just set API key)
#   OPENAI_API_KEY=sk-...
#   (Provider and model will be auto-detected)