version: "1.0.0"
name: my-agent-pipeline
description: "TODO: one-sentence description"
pattern: embedded-agent
language: python

steps:
  - name: agent
    prompt: prompts/system.prompt.md
    model: claude-haiku-4-5
    max_tokens: 1024
    temperature: 0.0
    input_variables:
      - task_description
      - user_task

agent_config:
  max_iterations: 5
  tools:
    - search
    - read_file
    # Add up to 5 tools — more than 5 is a signal to redesign
  exit_conditions:
    - "output.exit_reason == 'completed'"
    - "output.confidence >= 0.8"
  fallback_behavior: escalate
  token_budget: 8000

eval_config:
  enabled: true
  evaluator_prompt: prompts/evaluator.prompt.md
  test_cases: eval/cases.jsonl
  pass_threshold: 0.80
  max_attempts: 2
  eval_model: claude-haiku-4-5

cost_config:
  monthly_volume: 5000
  warn_above_usd: 0.05