# Simple LangGraph Example
# Demonstrates basic LangGraph functionality with linear flow

agents:
  assistant:
    type: llm
    config:
      provider: openai
      model: gpt-3.5-turbo
      temperature: 0.7
      system_prompt: "You are a helpful assistant."

# NEW: Unified routes section
routes:
  # Define the graph as a route
  simple_chat:
    type: graph  # REQUIRED: Must specify type (stream or 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  # REQUIRED: Must specify type
    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"