config.example.yaml

# EvalView Configuration Example
# Copy this file to config.yaml and customize for your agent:
#   cp config.example.yaml config.yaml

# Adapter type: http, langgraph, crewai, tapescope, openai-assistants
adapter: http

# Your agent's API endpoint
endpoint: http://localhost:3000/api/agent

# Optional: Assistant/Agent ID (for OpenAI Assistants, etc.)
# assistant_id: asst_xxxxx

# Request timeout in seconds
timeout: 30.0

# Optional: Custom headers
headers:
  Content-Type: application/json
  # Authorization: Bearer your-token-here

# Optional: Model configuration for cost tracking
# model:
#   name: gpt-4o-mini
#   pricing:
#     input_per_1m: 0.15
#     output_per_1m: 0.60

# Optional: LLM-as-judge configuration (for output quality evaluation)
# judge:
#   provider: openai          # openai, anthropic, gemini, grok, ollama
#   model: gpt-4o             # Model to use for evaluation

# Optional: CI/CD exit code configuration (for --diff mode)
# ci:
#   fail_on: [REGRESSION]                       # Exit 1 on these statuses
#   warn_on: [TOOLS_CHANGED, OUTPUT_CHANGED]    # Print warning but exit 0