dinos
40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
"""Deployed graphs for all yaml-flagged async sub-agents.
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One module-level binding per ``async: true`` entry in
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``EvoScientist/subagents/<name>.yaml``. Each binding is a graph compiled by
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``build_async_subagent_graph`` (which reads the yaml, wires tools/skills/
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backend/middleware identical to the in-process sync version, and returns a
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runnable langgraph).
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To add a new async sub-agent:
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1. Set ``async: true`` in ``EvoScientist/subagents/<name>.yaml``.
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2. Add a one-line binding here::
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<snake_name> = build_async_subagent_graph("<name>")
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3. Register it in ``EvoScientist/langgraph_dev/langgraph.json``::
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"<name>": "EvoScientist.langgraph_dev.graphs:<snake_name>"
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The deployed main agent (``EvoScientist_agent``) lives in ``main_graph.py``
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because it follows a different mechanism (re-exporting a lazily-constructed
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attribute), not the yaml-driven factory.
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"""
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from EvoScientist.memory.agents import (
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build_autoskills_graph,
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build_memory_worker_graph,
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build_observation_linker_graph,
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)
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from EvoScientist.memory.types import MemorySourceType
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from EvoScientist.subagents._factory import build_async_subagent_graph
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writing_agent = build_async_subagent_graph("writing-agent")
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data_analysis_agent = build_async_subagent_graph("data-analysis-agent")
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scheduler = build_async_subagent_graph("scheduler")
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evomemory_subagent_worker = build_memory_worker_graph(MemorySourceType.SUBAGENT)
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evomemory_turn_worker = build_memory_worker_graph(MemorySourceType.TURN)
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evomemory_observation_linker = build_observation_linker_graph()
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evomemory_autoskills = build_autoskills_graph()
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