mirror of
https://github.com/bytedance/deer-flow.git
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9d0a42c1fb
Major refactoring of deerflow/runtime/: - runs/callbacks/ - new callback system (builder, events, title, tokens) - runs/internal/ - execution internals (executor, supervisor, stream_logic, registry) - runs/internal/execution/ - execution artifacts and events handling - runs/facade.py - high-level run facade - runs/observer.py - run observation protocol - runs/types.py - type definitions - runs/store/ - simplified store interfaces (create, delete, query, event) Refactor stream_bridge/: - Replace old providers with contract.py and exceptions.py - Remove async_provider.py, base.py, memory.py Add documentation: - README.md and README_zh.md for runtime module Remove deprecated: - manager.py moved to internal/ - worker.py, schemas.py - user_context.py Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
"""Execution preparation helpers for a single run."""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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from langchain_core.callbacks import BaseCallbackHandler
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from langchain_core.runnables import RunnableConfig
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from langgraph.runtime import Runtime
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from deerflow.runtime.stream_bridge import StreamBridge
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@dataclass
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class RunBuildArtifacts:
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"""Assembled agent runtime pieces for a single run."""
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agent: Any
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runnable_config: dict[str, Any]
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reference_store: Any | None = None
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def build_run_artifacts(
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*,
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thread_id: str,
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run_id: str,
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checkpointer: Any | None,
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store: Any | None,
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agent_factory: Any,
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config: dict[str, Any],
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bridge: StreamBridge,
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interrupt_before: list[str] | None = None,
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interrupt_after: list[str] | None = None,
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callbacks: list[BaseCallbackHandler] | None = None,
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) -> RunBuildArtifacts:
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"""Assemble all components needed for agent execution."""
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runtime = Runtime(context={"thread_id": thread_id}, store=store)
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if "context" in config and isinstance(config["context"], dict):
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config["context"].setdefault("thread_id", thread_id)
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config.setdefault("configurable", {})["__pregel_runtime"] = runtime
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config_callbacks = config.setdefault("callbacks", [])
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if callbacks:
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config_callbacks.extend(callbacks)
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runnable_config = RunnableConfig(**config)
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agent = agent_factory(config=runnable_config)
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if checkpointer is not None:
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agent.checkpointer = checkpointer
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if store is not None:
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agent.store = store
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if interrupt_before:
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agent.interrupt_before_nodes = interrupt_before
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if interrupt_after:
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agent.interrupt_after_nodes = interrupt_after
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return RunBuildArtifacts(
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agent=agent,
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runnable_config=dict(runnable_config),
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reference_store=store,
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)
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