.env.example

# =============================================================================
# Slack Credentials (Socket Mode)
# =============================================================================
# Create a Slack App at https://api.slack.com/apps
# Enable Socket Mode under Settings > Socket Mode
# See README.md for detailed setup instructions

# Bot User OAuth Token (OAuth & Permissions > Bot User OAuth Token)
SLACK_BOT_TOKEN=xoxb-your-token-here

# App-Level Token for Socket Mode (Basic Information > App-Level Tokens)
# Generate with scope: connections:write
SLACK_APP_TOKEN=xapp-your-token-here

# Channel ID where leads are posted (right-click channel > View channel details)
SLACK_CHANNEL_ID=C0123456789

# Optional: Channel ID for test posts
SLACK_TEST_CHANNEL_ID=

# =============================================================================
# LLM Configuration
# =============================================================================
# Default: OpenAI API
# For local Ollama: set LLM_BASE_URL=http://localhost:11434/v1

OPENAI_API_KEY=sk-your-key-here
LLM_MODEL_NAME=gpt-5-nano
# LLM_BASE_URL=http://localhost:11434/v1
#
# Optional: override max output tokens for all agents
LLM_MAX_TOKENS=4000

# =============================================================================
# Runtime Options
# =============================================================================
# DRY_RUN=true  -> Log classifications but don't post to Slack
# DRY_RUN=false -> Post classification replies to message threads

DRY_RUN=true
DEBUG=true

# =============================================================================
# Observability (Logfire)
# =============================================================================
# Get your write token at https://logfire.pydantic.dev/
# Project Settings > Write Tokens > Create Write Token

LOGFIRE_TOKEN=

# =============================================================================
# Prompt Configuration
# =============================================================================
# Customize lead classification behavior for your deployment.
# Points to a JSON file - see prompt_config.example.json for all options.
#
# The file will be auto-discovered if named prompt_config.json in the
# current directory. Use PROMPT_CONFIG_PATH to specify a different location.

# PROMPT_CONFIG_PATH=./prompt_config.json