# Simple LangGraph Example - Actor-First Version
# Demonstrates basic LangGraph functionality with actors

agents:
  assistant:
    type: llm
    config:
      # Use actor instead of provider/model
      actor: openai/gpt-3.5-turbo
      temperature: 0.7
      system_prompt: "You are a helpful assistant."

# Unified routes section with actor-first approach
routes:
  # Define the graph as a route
  simple_chat:
    type: graph
    entry_point: start

    nodes:
      # Process user input
      process_input:
        type: agent
        agent: assistant

    edges:
      - source: start
        target: process_input
      - source: process_input
        target: end

  # Input stream that triggers the graph
  chat_input:
    type: stream
    stream_type: cold
    operators:
      - type: graph_execute
        params:
          graph: simple_chat
    publications:
      - __output__

# Route input to the stream
merges:
  - sources: [__input__]
    target: chat_input

context:
  global:
    app_name: "Simple LangGraph Chat"
    # Actor-specific configuration
    default_actor: openai/gpt-3.5-turbo
    enable_actor_fallback: true