Multi-Agent Workflow

A complete example with multiple agents orchestrated through a workflow pipeline.

Source

models.oc

model gpt4 {
  provider    = "openai"
  model_name  = "gpt-4o"
  temperature = 0.7
}

model claude {
  provider    = "anthropic"
  model_name  = "claude-sonnet-4-20250514"
  temperature = 0.5
}

agents.oc

tool search {
  desc   = "Search the web for information"
  invoke = "tools.search.web_search"
}

agent researcher {
  model   = gpt4
  persona = "
    You are a research specialist.
    You search for information and compile
    detailed findings with sources.
    "
  tools   = [search]
}

agent writer {
  model   = claude
  persona = "
    You are a technical writer.
    You take research findings and turn them
    into clear, well-structured articles.
    "
}

agent editor {
  model   = gpt4
  persona = "
    You are an editor.
    You review articles for clarity, accuracy,
    and grammar. You suggest improvements.
    "
}

workflow.oc

workflow content_pipeline {
  researcher -> writer -> editor
}

Build

orca build

What's happening

1. Two models are configured — GPT-4o for research/editing, Claude for writing.
2. Three agents form a pipeline: researcher finds information, writer drafts the article, editor polishes it.
3. The workflow block connects them with arrow syntax: researcher -> writer -> editor.
4. START and END are inferred automatically — researcher has no incoming edges so it becomes the entry point, editor has no outgoing edges so it becomes the exit.

This pattern — splitting definitions across multiple .oc files — is idiomatic. The compiler reads all .oc files in the directory and resolves cross-file references automatically.