dinos
f2f010a350
* refactor(gateway): create module for launching async/bg agents * refactor(memory): refactor worker launch around source context & output deltas * refactor(gateway): generalize async/bg module * refactor(memory): revamp worker launching * feat(memory): add observation linking * test(memory): remove redundant test branches * fix(memory): make 'supersedes' relation directional * fix(memory): don't create empty project observation dirs * fix(memory): schedule direct observations for linking * fix(cli): wait for observation linker before shutdown * fix(memory): block arbitrary writes to /memories * fix(linker): remove `linked_by` attribute from frontmatter * refactor(linker): rename base relationship to `comlpements` * fix(cli): bump worker wait to 2m * feat(tools): catch malformed tool calls & retry * feat(status): add linking result to statusbar * fix(linker): don't launch linker when observations are disabled * fix(memory): use posix paths * fix(watcher): call abort hook on error status * fix(watcher): delete thread on failed run creation * fix(watcher): preserve url * fix(observation): record session_id, drop unused fields * fix(memory): reject unsupported worker source types * refactor(backends): shared memory backend builder * fix(scheduler): resolve linker inputs outside lock * fix(memory): dont launch workers / record observations without thread_id * feat(memory): include related observations in tool results * fix(memory): skip malformed observation frontmatter * revert(tools): drop tool error handling changes from this PR * fix(memory): serialize observation link writes * fix(memory): queue observations written by aborted workers * fix(memory): track observation linker launch handoff * fix(memory): resolve cross-project related observations * fix(status): avoid recounting reason-only link updates * fix(memory): avoid rereading file for content * fix(linker): use neutral prose for bidirectional reasons * test(memory): coverage for aborted/failed launches * test(memory): cleanup & helpers * feat(linker): add observations index hint
710 lines
23 KiB
Python
710 lines
23 KiB
Python
"""LangGraph server-backed gateway implementation."""
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from __future__ import annotations
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import asyncio
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import uuid
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from collections.abc import AsyncIterator, Mapping
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from dataclasses import dataclass, field
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from datetime import UTC, datetime
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from typing import Any
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from langchain_core.messages import BaseMessage, convert_to_messages, messages_from_dict
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from langgraph.types import Command
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from langgraph_sdk._async.stream import AsyncThreadStream
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from langgraph_sdk.client import LangGraphClient
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from langgraph_sdk.errors import NotFoundError
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from langgraph_sdk.schema import Thread, ThreadState
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from ..sessions import _apply_summarization_event
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from ..stream.emitter import StreamEventEmitter
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from ..stream.events import (
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_SubagentRegistry,
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_V3EventProcessor,
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build_agent_stream_input,
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)
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from ..stream.summarization import _find_summarization_event_payload
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from ..stream.v3_payloads import _as_raw_map, _event_namespace
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from .types import (
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DEFAULT_GRAPH_ID,
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GraphEvent,
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GraphStateValues,
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GraphTarget,
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RunRequest,
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ThreadResolution,
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ThreadStore,
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)
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_THREAD_SEARCH_LIMIT = 1000
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_RUN_SUBSCRIBE_CHANNELS = [
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"messages",
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"tools",
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"updates",
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"values",
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"tasks",
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"lifecycle",
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"input",
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]
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def _thread_metadata(thread: Thread) -> dict[str, Any]:
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metadata = thread.get("metadata")
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return dict(metadata) if isinstance(metadata, dict) else {}
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def _build_thread_metadata(
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*,
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graph_id: str,
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workspace_dir: str | None,
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metadata: Mapping[str, Any] | None = None,
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) -> dict[str, Any]:
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merged = dict(metadata or {})
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merged["graph_id"] = graph_id
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if graph_id == DEFAULT_GRAPH_ID:
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merged["agent_name"] = DEFAULT_GRAPH_ID
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else:
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merged.pop("agent_name", None)
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if workspace_dir is not None:
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merged["workspace_dir"] = workspace_dir
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merged.setdefault("updated_at", datetime.now(UTC).isoformat())
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return merged
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def _thread_preview(messages: list[BaseMessage]) -> str:
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for message in reversed(messages):
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if getattr(message, "type", None) != "human":
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continue
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content = message.content
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if isinstance(content, str):
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return content.strip().replace("\n", " ")[:120]
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if isinstance(content, list):
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text_parts = [
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str(block.get("text", ""))
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for block in content
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if isinstance(block, dict) and block.get("type") == "text"
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]
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if text := " ".join(part for part in text_parts if part).strip():
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return text.replace("\n", " ")[:120]
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return ""
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def _is_uuid(value: str) -> bool:
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try:
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uuid.UUID(value)
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except ValueError:
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return False
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return True
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def _input_requested_event_from_interrupt(
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interrupt: Mapping[str, object],
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) -> dict[str, Any]:
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return {
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"type": "event",
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"method": "input.requested",
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"params": {
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"namespace": interrupt.get("namespace") or [],
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"data": {
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"interrupt_id": interrupt.get("interrupt_id")
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or interrupt.get("id")
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or "default",
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"value": interrupt.get("value"),
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},
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},
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}
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def _state_interrupts(state: ThreadState) -> list[Mapping[str, object]]:
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interrupts = state.get("interrupts")
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if not isinstance(interrupts, list):
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return []
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return [interrupt for interrupt in interrupts if isinstance(interrupt, Mapping)]
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def _is_interrupt_event(event: Mapping[str, object]) -> bool:
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return event.get("type") in {"interrupt", "ask_user"}
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def _messages_from_state(state: ThreadState) -> list[BaseMessage]:
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values = state.get("values")
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if not isinstance(values, dict):
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return []
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raw_messages = values.get("messages")
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if not isinstance(raw_messages, list):
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return []
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event = values.get("_summarization_event")
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summarization_event = dict(event) if isinstance(event, Mapping) else None
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effective_messages = _apply_summarization_event(
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raw_messages,
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summarization_event,
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)
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try:
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return list(convert_to_messages(effective_messages))
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except ValueError:
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return messages_from_dict(
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[message for message in effective_messages if isinstance(message, dict)]
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)
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@dataclass(frozen=True, slots=True)
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class LangGraphServerThreadStore(ThreadStore):
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"""Thread store backed by the LangGraph server Threads API."""
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client: LangGraphClient
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graph_id: str = DEFAULT_GRAPH_ID
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def generate_thread_id(self) -> str:
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return str(uuid.uuid4())
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def _target_graph_id(self, graph_id: str | None = None) -> str:
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return graph_id or self.graph_id
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async def create_thread(
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self,
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graph_id: str | None = None,
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*,
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metadata: Mapping[str, Any] | None = None,
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workspace_dir: str | None = None,
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) -> str:
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target_graph_id = self._target_graph_id(graph_id)
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thread = await self.client.threads.create(
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graph_id=target_graph_id,
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metadata=_build_thread_metadata(
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graph_id=target_graph_id,
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workspace_dir=workspace_dir,
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metadata=metadata,
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),
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)
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return thread["thread_id"]
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async def ensure_thread_exists(
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self,
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thread_id: str,
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graph_id: str | None = None,
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*,
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metadata: Mapping[str, Any] | None = None,
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workspace_dir: str | None = None,
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) -> None:
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target_graph_id = self._target_graph_id(graph_id)
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await self.client.threads.create(
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thread_id=thread_id,
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graph_id=target_graph_id,
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metadata=_build_thread_metadata(
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graph_id=target_graph_id,
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workspace_dir=workspace_dir,
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metadata=metadata,
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),
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if_exists="do_nothing",
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)
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async def list_threads(
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self,
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*,
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limit: int = 20,
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include_message_count: bool = False,
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include_preview: bool = False,
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graph_id: str | None = None,
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) -> list[dict[str, Any]]:
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target_graph_id = self._target_graph_id(graph_id)
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threads = await self._search_threads(
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target_graph_id=target_graph_id,
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limit=limit,
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)
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rows: list[dict[str, Any]] = []
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for thread in threads:
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thread_id = thread["thread_id"]
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metadata = _thread_metadata(thread)
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row: dict[str, Any] = {
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"thread_id": thread_id,
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"created_at": thread.get("created_at"),
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"updated_at": thread.get("updated_at"),
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"workspace_dir": metadata.get("workspace_dir"),
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"model": metadata.get("model"),
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"metadata": metadata,
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}
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if include_message_count or include_preview:
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messages = await self.get_thread_messages(thread_id)
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if include_message_count:
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row["message_count"] = len(messages)
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if include_preview:
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row["preview"] = _thread_preview(messages)
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rows.append(row)
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return rows
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async def resolve_thread_id_prefix(
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self,
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thread_id_or_prefix: str,
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graph_id: str | None = None,
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) -> tuple[str | None, list[str]]:
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target_graph_id = self._target_graph_id(graph_id)
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if _is_uuid(thread_id_or_prefix):
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try:
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thread = await self.client.threads.get(thread_id_or_prefix)
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if _thread_metadata(thread).get("graph_id") == target_graph_id:
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return thread["thread_id"], []
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except NotFoundError:
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pass
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threads = await self._search_threads(target_graph_id=target_graph_id)
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matches = sorted(
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thread["thread_id"]
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for thread in threads
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if thread["thread_id"].startswith(thread_id_or_prefix)
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)
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if len(matches) == 1:
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return matches[0], []
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return None, matches
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async def _search_threads(
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self,
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*,
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target_graph_id: str,
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limit: int | None = None,
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) -> list[Thread]:
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if limit is not None and limit > 0:
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return await self._search_thread_page(
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target_graph_id=target_graph_id,
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limit=limit,
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)
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return await self._search_all_threads(target_graph_id=target_graph_id)
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async def _search_thread_page(
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self,
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*,
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target_graph_id: str,
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limit: int,
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offset: int = 0,
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) -> list[Thread]:
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return await self.client.threads.search(
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metadata={"graph_id": target_graph_id},
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limit=limit,
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offset=offset,
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sort_by="updated_at",
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sort_order="desc",
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)
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async def _search_all_threads(self, *, target_graph_id: str) -> list[Thread]:
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threads: list[Thread] = []
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offset = 0
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while True:
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page = await self._search_thread_page(
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target_graph_id=target_graph_id,
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limit=_THREAD_SEARCH_LIMIT,
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offset=offset,
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)
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threads.extend(page)
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if len(page) < _THREAD_SEARCH_LIMIT:
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break
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offset += _THREAD_SEARCH_LIMIT
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return threads
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async def get_thread_metadata(self, thread_id: str) -> dict[str, Any] | None:
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try:
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thread = await self.client.threads.get(thread_id)
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except NotFoundError:
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return None
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return _thread_metadata(thread)
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async def get_thread_messages(self, thread_id: str) -> list[BaseMessage]:
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try:
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state = await self.client.threads.get_state(thread_id)
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except NotFoundError:
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return []
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return _messages_from_state(state)
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async def thread_exists(self, thread_id: str) -> bool:
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try:
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await self.client.threads.get(thread_id)
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except NotFoundError:
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return False
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return True
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async def delete_thread(self, thread_id: str) -> bool:
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try:
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await self.client.threads.delete(thread_id)
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except NotFoundError:
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return False
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return True
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async def clone_thread(
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self,
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source_thread_id: str,
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*,
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metadata: dict[str, Any] | None = None,
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) -> str:
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copy_response: object = await self.client.threads.copy(source_thread_id)
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if not isinstance(copy_response, Mapping):
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raise RuntimeError(
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"LangGraph thread copy did not return a cloned thread id"
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)
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cloned_thread_id = copy_response.get("thread_id")
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if not isinstance(cloned_thread_id, str) or not cloned_thread_id:
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raise RuntimeError(
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"LangGraph thread copy did not return a cloned thread id"
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)
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if metadata:
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await self.client.threads.update(
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cloned_thread_id,
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metadata=metadata,
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)
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return cloned_thread_id
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@dataclass(slots=True)
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class _ServerSubagentTracker:
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"""Infer subagent start/end events from LangGraph server namespaces."""
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emitter: StreamEventEmitter
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registry: _SubagentRegistry
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_active: dict[tuple[str, ...], tuple[str, str | None]] = field(default_factory=dict)
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def process(self, event: Mapping[str, Any]) -> list[dict[str, Any]]:
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events: list[dict[str, Any]] = []
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namespace = tuple(_event_namespace(event))
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if namespace:
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events.extend(self._ensure_registered(namespace[:1], tool_call_id=None))
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method = event.get("method")
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params = _as_raw_map(event.get("params"))
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data = _as_raw_map(params.get("data")) if params is not None else None
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if data is None:
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return events
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if method == "lifecycle":
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phase = data.get("event")
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if phase == "started" and namespace:
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events.extend(self._ensure_registered(namespace, tool_call_id=None))
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elif phase in ("completed", "failed") and namespace:
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events.extend(self._end(namespace))
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elif method == "tasks":
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if "result" in data:
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events.extend(self._end_triggered_child(namespace, data.get("id")))
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elif namespace:
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events.extend(self._ensure_registered(namespace, tool_call_id=None))
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return events
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def finish(self) -> list[dict[str, Any]]:
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events: list[dict[str, Any]] = []
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for path in sorted(
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self._active.keys(), key=lambda item: len(item), reverse=True
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):
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events.extend(self._end(path))
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self.registry.close()
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return events
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def _ensure_registered(
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self,
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path: tuple[str, ...],
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*,
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tool_call_id: str | None,
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) -> list[dict[str, Any]]:
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if not path or path in self._active:
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return []
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name, parsed_tool_call_id = self._parse_namespace_segment(path[-1])
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trigger_call_id = tool_call_id or parsed_tool_call_id
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instance_id = ":".join(path)
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self._active[path] = (name, trigger_call_id)
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self.registry.register(path, name)
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return [
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self.emitter.subagent_start(
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name,
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"",
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instance_id=instance_id,
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tool_call_id=trigger_call_id or "",
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).data
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]
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def _end(self, path: tuple[str, ...]) -> list[dict[str, Any]]:
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active = self._active.pop(path, None)
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if active is None:
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return []
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name, _tool_call_id = active
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return [self.emitter.subagent_end(name, instance_id=":".join(path)).data]
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def _end_triggered_child(
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self,
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namespace: tuple[str, ...],
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result_id: object,
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) -> list[dict[str, Any]]:
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if not result_id:
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return []
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events: list[dict[str, Any]] = []
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for path, (_name, tool_call_id) in list(self._active.items()):
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if path[:-1] == namespace and tool_call_id == result_id:
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events.extend(self._end(path))
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return events
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@staticmethod
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def _parse_namespace_segment(segment: str) -> tuple[str, str | None]:
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name, sep, task_id = segment.partition(":")
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return name, task_id if sep else None
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|
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@dataclass(slots=True)
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class LangGraphServerGateway:
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"""Gateway backed by a running LangGraph server."""
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thread_store: LangGraphServerThreadStore
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graph_id: str = DEFAULT_GRAPH_ID
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interrupt_wait_seconds: float = 5.0
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def _target_graph_id(self, target: GraphTarget | None = None) -> str:
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return target.graph_id if target is not None else self.graph_id
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async def create_thread(
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self,
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target: GraphTarget | None = None,
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*,
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metadata: dict[str, Any] | None = None,
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) -> str:
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return await self.thread_store.create_thread(
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graph_id=self._target_graph_id(target),
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metadata=metadata,
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workspace_dir=target.workspace_dir if target is not None else None,
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)
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|
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async def list_threads(
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self,
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*,
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limit: int = 20,
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include_message_count: bool = False,
|
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include_preview: bool = False,
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target: GraphTarget | None = None,
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) -> list[dict[str, Any]]:
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return await self.thread_store.list_threads(
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limit=limit,
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include_message_count=include_message_count,
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include_preview=include_preview,
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graph_id=self._target_graph_id(target),
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)
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|
|
async def resolve_thread(
|
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self,
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thread_id_or_prefix: str,
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target: GraphTarget | None = None,
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) -> ThreadResolution:
|
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resolved, matches = await self.thread_store.resolve_thread_id_prefix(
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thread_id_or_prefix,
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graph_id=self._target_graph_id(target),
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)
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return ThreadResolution(resolved, tuple(matches))
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|
|
async def get_thread_metadata(
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|
self,
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thread_id: str,
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target: GraphTarget | None = None,
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) -> dict[str, Any] | None:
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return await self.thread_store.get_thread_metadata(thread_id)
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|
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async def get_thread_messages(
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self,
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thread_id: str,
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target: GraphTarget | None = None,
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) -> list[BaseMessage]:
|
|
return await self.thread_store.get_thread_messages(thread_id)
|
|
|
|
async def thread_exists(
|
|
self,
|
|
thread_id: str,
|
|
target: GraphTarget | None = None,
|
|
) -> bool:
|
|
return await self.thread_store.thread_exists(thread_id)
|
|
|
|
async def delete_thread(
|
|
self,
|
|
thread_id: str,
|
|
target: GraphTarget | None = None,
|
|
) -> bool:
|
|
return await self.thread_store.delete_thread(thread_id)
|
|
|
|
async def clone_thread(
|
|
self,
|
|
source_thread_id: str,
|
|
*,
|
|
metadata: dict[str, Any] | None = None,
|
|
target: GraphTarget | None = None,
|
|
) -> str:
|
|
return await self.thread_store.clone_thread(
|
|
source_thread_id,
|
|
metadata=metadata,
|
|
)
|
|
|
|
async def _start_or_resume(
|
|
self,
|
|
stream: AsyncThreadStream,
|
|
request: RunRequest,
|
|
) -> None:
|
|
config: dict[str, Any] = {"configurable": {"thread_id": request.thread_id}}
|
|
await self.thread_store.ensure_thread_exists(
|
|
request.thread_id,
|
|
graph_id=self._target_graph_id(request.target),
|
|
metadata=request.metadata,
|
|
workspace_dir=(
|
|
request.target.workspace_dir if request.target is not None else None
|
|
),
|
|
)
|
|
request_workspace = (
|
|
request.target.workspace_dir if request.target is not None else None
|
|
)
|
|
if request.metadata or request_workspace is not None:
|
|
await self.thread_store.client.threads.update(
|
|
request.thread_id,
|
|
metadata=_build_thread_metadata(
|
|
graph_id=self._target_graph_id(request.target),
|
|
workspace_dir=request_workspace,
|
|
metadata=request.metadata,
|
|
),
|
|
)
|
|
if isinstance(request.message, Command):
|
|
if request.message.resume is not None:
|
|
await self._respond_to_interrupt(stream, request.message.resume)
|
|
return
|
|
raise RuntimeError(
|
|
"LangGraph server gateway only supports Command(resume=...) messages."
|
|
)
|
|
|
|
run_input = await build_agent_stream_input(
|
|
request.message,
|
|
media=request.media,
|
|
)
|
|
await stream.run.start(
|
|
input=run_input,
|
|
config=config,
|
|
metadata=request.metadata,
|
|
)
|
|
|
|
async def _respond_to_interrupt(
|
|
self,
|
|
stream: AsyncThreadStream,
|
|
response: object,
|
|
) -> None:
|
|
loop = asyncio.get_running_loop()
|
|
deadline = loop.time() + self.interrupt_wait_seconds
|
|
while not stream.interrupts and loop.time() < deadline:
|
|
await asyncio.sleep(0.05)
|
|
interrupt_id = None
|
|
if len(stream.interrupts) == 1:
|
|
interrupt_id = str(stream.interrupts[0].get("interrupt_id") or "")
|
|
await stream.run.respond(response, interrupt_id=interrupt_id or None)
|
|
|
|
def stream_events(self, request: RunRequest) -> AsyncIterator[GraphEvent]:
|
|
return self._stream_events(request)
|
|
|
|
async def get_state_values(
|
|
self,
|
|
target: GraphTarget,
|
|
thread_id: str,
|
|
) -> GraphStateValues:
|
|
return await self._get_state_values(thread_id)
|
|
|
|
async def update_state_values(
|
|
self,
|
|
target: GraphTarget,
|
|
thread_id: str,
|
|
values: GraphStateValues,
|
|
) -> None:
|
|
as_node = "model" if "_summarization_event" in values else None
|
|
await self.thread_store.client.threads.update_state(
|
|
thread_id,
|
|
values,
|
|
as_node=as_node,
|
|
)
|
|
|
|
async def _get_state_values(self, thread_id: str) -> GraphStateValues:
|
|
state = await self.thread_store.client.threads.get_state(thread_id)
|
|
values = state.get("values")
|
|
if not isinstance(values, dict):
|
|
return {}
|
|
return {str(key): value for key, value in values.items()}
|
|
|
|
async def _pending_interrupt_events(
|
|
self,
|
|
stream: AsyncThreadStream,
|
|
thread_id: str,
|
|
processor: _V3EventProcessor,
|
|
) -> list[GraphEvent]:
|
|
events: list[GraphEvent] = []
|
|
for interrupt in stream.interrupts:
|
|
events.extend(
|
|
await processor.process(
|
|
_input_requested_event_from_interrupt(interrupt)
|
|
)
|
|
)
|
|
|
|
if events or not stream.interrupted:
|
|
return events
|
|
|
|
try:
|
|
state = await self.thread_store.client.threads.get_state(thread_id)
|
|
except NotFoundError:
|
|
return events
|
|
|
|
for interrupt in _state_interrupts(state):
|
|
events.extend(
|
|
await processor.process(
|
|
_input_requested_event_from_interrupt(interrupt)
|
|
)
|
|
)
|
|
return events
|
|
|
|
async def _stream_events(self, request: RunRequest) -> AsyncIterator[GraphEvent]:
|
|
emitter = StreamEventEmitter()
|
|
state_values: GraphStateValues = {}
|
|
existing_summarization_event: Mapping[str, object] | None = None
|
|
process_value_messages = True
|
|
try:
|
|
state_values = await self._get_state_values(request.thread_id)
|
|
existing_summarization_event = _find_summarization_event_payload(
|
|
state_values
|
|
)
|
|
except NotFoundError:
|
|
pass
|
|
except Exception:
|
|
process_value_messages = False
|
|
|
|
subagents = _SubagentRegistry()
|
|
processor = _V3EventProcessor(
|
|
emitter,
|
|
subagents,
|
|
existing_summarization_event,
|
|
state_values.get("messages"),
|
|
process_value_messages=process_value_messages,
|
|
)
|
|
tracker = _ServerSubagentTracker(emitter, subagents)
|
|
stream = self.thread_store.client.threads.stream(
|
|
request.thread_id,
|
|
assistant_id=self._target_graph_id(request.target),
|
|
)
|
|
|
|
try:
|
|
async with stream:
|
|
await self._start_or_resume(stream, request)
|
|
emitted_interrupt = False
|
|
async for event in stream.subscribe(_RUN_SUBSCRIBE_CHANNELS):
|
|
raw_event = _as_raw_map(event)
|
|
if raw_event is None:
|
|
continue
|
|
event_map: dict[str, Any] = dict(raw_event)
|
|
for subagent_event in tracker.process(event_map):
|
|
yield subagent_event
|
|
for normalized in await processor.process(event_map):
|
|
emitted_interrupt = emitted_interrupt or _is_interrupt_event(
|
|
normalized
|
|
)
|
|
yield normalized
|
|
if not emitted_interrupt:
|
|
for event in await self._pending_interrupt_events(
|
|
stream,
|
|
request.thread_id,
|
|
processor,
|
|
):
|
|
yield event
|
|
except Exception as exc:
|
|
yield emitter.error(str(exc)).data
|
|
raise
|
|
finally:
|
|
for event in tracker.finish():
|
|
yield event
|
|
yield emitter.done(processor.full_response).data
|