agents.toml

# Registry of the shared Python collaborator and the original DAG example.
#
# `temporal-agent-harness serve` reads this file and passes the parsed registry into the
# packaged SessionManagerWorkflow, which serves it back over the `available_agents` query.
# DAG step agents are started by a running flow as subagents, never as their own sessions.

[[agents]]
key = "sdlc-builder"
workflow_type = "SdlcBuilderAgent"
agent = "agent_dag.sdlc_builder:SdlcBuilderAgentWorkflow"
task_queue = "agent-dag"
label = "SDLC agent builder"
description = "Collaboratively edits and validates the shared Python PR-review agent project using local callbacks."

[[agents]]
key = "shared-python"
workflow_type = "WorkspacePythonAgent"
agent = "agent_dag.workspace_agent:WorkspacePythonAgentWorkflow"
task_queue = "agent-dag"
label = "Shared Python workspace"
description = "A Python collaborator that reads and edits the shared app.py through callbacks executed by the local workspace host."

[[agents]]
key = "agent-dag"
workflow_type = "DagBuilderAgent"
agent = "agent_dag.workflow:DagBuilderAgentWorkflow"
task_queue = "agent-dag"
label = "Agent DAG Studio"
description = """
Describe a job and an OpenAI agent writes a *flow*: a Python script wiring fresh agents into a
DAG, each set up by the script with its own name, system prompt, tools and model. The script
lives in your editor, which the agent changes through callback tools. `execute` runs it in Code
Mode, where each `run_agent` call starts a DagStepAgent subagent. Best driven from the studio UI
(`just studio`)."""

[[agents]]
key = "feature-designer"
workflow_type = "FeatureDesignerAgent"
agent = "agent_dag.feature_designer:FeatureDesignerAgentWorkflow"
task_queue = "agent-dag"
label = "Feature builder designer"
description = "Collaboratively edits and validates the feature builder's executable flow, planning and coding prompts, model settings, and file tools."

[[agents]]
key = "studio-designer"
workflow_type = "StudioDesignerAgent"
agent = "agent_dag.studio_designer:StudioDesignerAgentWorkflow"
task_queue = "agent-dag"
label = "SDLC agent designer"
description = "Collaboratively customizes the selected lifecycle agent's Python flow, instructions, and tools."