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39 lines (30 loc) · 1.17 KB
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# Copy this file to .env and fill in your credentials
# Eval run mode (used by agentv-bench skill)
AGENT_EVAL_MODE=agent # agent | cli
# Azure OpenAI Configuration
AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
AZURE_OPENAI_API_KEY=your-openai-api-key-here
AZURE_DEPLOYMENT_NAME=gpt-5-mini
AZURE_OPENAI_API_VERSION=2024-12-01-preview
# OpenAI
OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
OPENAI_API_KEY=your-openai-api-key-here
OPENAI_MODEL=gpt-5-mini
# Google Gemini
GOOGLE_GENERATIVE_AI_API_KEY=your-gemini-api-key-here
GEMINI_MODEL_NAME=gemini-3-flash-preview
# OpenRouter
OPENROUTER_API_KEY=your-openrouter-api-key-here
OPENROUTER_MODEL=openai/gpt-5.4-mini
# Anthropic
ANTHROPIC_API_KEY=your-anthropic-api-key-here
# Codex / agent providers
# Quote values if the path contains spaces.
CODEX_WORKSPACE_DIR=./.agentv/codex-workspaces
CODEX_LOG_DIR=./.agentv/logs/codex
PI_CLI_PATH=pi
# CLI provider sample (used by the local_cli target)
CLI_EVALS_DIR=./docs/examples/simple/evals/local-cli
# Agent identity — used when claiming issues on the project roadmap
# Format: <hostname>-<harness> (e.g., devbox-1-claude, devbox-2-codex)
# AGENT_ID=devbox-1-claude