.env.example

# Copy to .env and set your API keys.
# python-dotenv loads these when the provider router is used (and in examples/_config.py).
# For worker/planner models and paths, you can use ~/.config/hivemind/config.toml instead
# (see README Configuration). API keys stay in .env or environment only.

OPENAI_API_KEY=
ANTHROPIC_API_KEY=
GOOGLE_API_KEY=

# --- Azure OpenAI (GPT: gpt-4o, gpt-5-mini on same endpoint) ---
# When set, GPT models use Azure; deployment name = model name (e.g. gpt-4o, gpt-5-mini).
# Use the CHAT COMPLETIONS base URL, not the Responses API URL:
#   - Correct (Azure Foundry): https://your-resource.cognitiveservices.azure.com/openai/v1
#   - Wrong:  .../openai/responses (Responses API; causes 404 DeploymentNotFound)
# AZURE_OPENAI_ENDPOINT=https://your-resource.cognitiveservices.azure.com/openai/v1
# AZURE_OPENAI_API_KEY=
# AZURE_OPENAI_API_VERSION=2025-04-01-preview
# Optional default deployment if not passing model name: AZURE_OPENAI_DEPLOYMENT_NAME=gpt-5-mini

# --- Azure Anthropic (Claude: e.g. claude-opus-4-6-2) ---
# When set, Claude models use Azure Foundry instead of native Anthropic.
# AZURE_ANTHROPIC_ENDPOINT=https://your-resource.services.ai.azure.com/anthropic/v1/messages
# AZURE_ANTHROPIC_API_KEY=
# AZURE_ANTHROPIC_DEPLOYMENT_NAME=claude-opus-4-6-2

# --- Override models used by examples (default with Azure: gpt-4o / gpt-5-mini, claude-opus-4-6-2) ---
# HIVEMIND_WORKER_MODEL=gpt-5-mini
# HIVEMIND_PLANNER_MODEL=gpt-4o