Richard Tang
1371 lines
55 KiB
Python
1371 lines
55 KiB
Python
"""Execution control routes — trigger, inject, chat, resume, stop, replay."""
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import asyncio
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import json
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import logging
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from datetime import UTC
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from typing import Any
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from aiohttp import web
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from framework.agent_loop.conversation import LEGACY_RUN_ID
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from framework.credentials.validation import validate_agent_credentials
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from framework.host.execution_manager import ExecutionAlreadyRunningError
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from framework.server.app import resolve_session, safe_path_segment, sessions_dir
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from framework.server.routes_sessions import _credential_error_response
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logger = logging.getLogger(__name__)
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def _load_checkpoint_run_id(cp_path) -> str | None:
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try:
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checkpoint = json.loads(cp_path.read_text(encoding="utf-8"))
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except (json.JSONDecodeError, OSError):
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return None
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run_id = checkpoint.get("run_id")
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if isinstance(run_id, str) and run_id:
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return run_id
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return LEGACY_RUN_ID
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# Tool names the worker SHOULD inherit when a colony is forked. These are
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# the "work-doing" primitives — anything else in a queen phase tool list is
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# queen-lifecycle and must not flow into worker.json.
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_WORKER_INHERITED_TOOLS: frozenset[str] = frozenset(
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{
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# File I/O
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"read_file",
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"write_file",
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"edit_file",
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"hashline_edit",
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"list_directory",
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"search_files",
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"undo_changes",
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# Shell
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"run_command",
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# Framework synthetics (always available to any AgentLoop node)
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"set_output",
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"escalate",
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"ask_user",
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"ask_user_multiple",
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}
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)
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# Queen-lifecycle tools that are registered into the queen's tool registry
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# but NOT listed in any _QUEEN_*_TOOLS phase list (they're reachable only via
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# explicit registration or as frontend-visible helpers, not phase-based
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# gating). These must still be stripped from forked / parallel-spawned
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# worker tool inventories.
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_QUEEN_LIFECYCLE_EXTRAS: frozenset[str] = frozenset(
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{
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# Phase-transition wrappers (method variants are on QueenPhaseState
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# but the queen also sees them as tools).
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"switch_to_reviewing",
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"switch_to_independent",
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# Frontend helpers that live outside phase lists.
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"list_credentials",
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"get_worker_health_summary",
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"enqueue_task",
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}
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)
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def _resolve_queen_only_tools() -> frozenset[str]:
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"""Compute the set of queen-lifecycle tool names to strip on fork.
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Derived from the queen phase tool lists in ``agents.queen.nodes``:
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any tool listed in any ``_QUEEN_*_TOOLS`` set that is NOT in
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:data:`_WORKER_INHERITED_TOOLS` is a queen-only tool. Browser and MCP
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tools are not in the queen phase lists (they're added dynamically),
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so they pass through untouched. Supplemented by
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:data:`_QUEEN_LIFECYCLE_EXTRAS` for tools registered without phase
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gating.
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Computed lazily so this module can be imported before the queen
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nodes package is loaded.
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"""
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from framework.agents.queen.nodes import (
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_QUEEN_INDEPENDENT_TOOLS,
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_QUEEN_REVIEWING_TOOLS,
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_QUEEN_WORKING_TOOLS,
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)
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union: set[str] = set()
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for tool_list in (
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_QUEEN_INDEPENDENT_TOOLS,
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_QUEEN_WORKING_TOOLS,
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_QUEEN_REVIEWING_TOOLS,
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):
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union.update(tool_list)
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derived = union - _WORKER_INHERITED_TOOLS
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return frozenset(derived | _QUEEN_LIFECYCLE_EXTRAS)
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def _execution_already_running_response(exc: ExecutionAlreadyRunningError) -> web.Response:
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return web.json_response(
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{
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"error": str(exc),
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"stream_id": exc.stream_id,
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"active_execution_ids": exc.active_ids,
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},
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status=409,
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)
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async def handle_trigger(request: web.Request) -> web.Response:
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"""POST /api/sessions/{session_id}/trigger — start an execution.
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Body: {"entry_point_id": "default", "input_data": {...}, "session_state": {...}?}
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"""
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session, err = resolve_session(request)
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if err:
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return err
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if not session.colony_runtime:
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return web.json_response({"error": "No colony loaded in this session"}, status=503)
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# Validate credentials before running — deferred from load time to avoid
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# showing the modal before the user clicks Run. Runs in executor because
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# validate_agent_credentials makes blocking HTTP health-check calls.
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if session.runner:
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loop = asyncio.get_running_loop()
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try:
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await loop.run_in_executor(None, lambda: validate_agent_credentials(session.runner.graph.nodes))
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except Exception as e:
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agent_path = str(session.worker_path) if session.worker_path else ""
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resp = _credential_error_response(e, agent_path)
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if resp is not None:
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return resp
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# Resync MCP servers if credentials were added since the worker loaded
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# (e.g. user connected an OAuth account mid-session via Aden UI).
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try:
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await loop.run_in_executor(None, lambda: session.runner._tool_registry.resync_mcp_servers_if_needed())
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except Exception as e:
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logger.warning("MCP resync failed: %s", e)
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body = await request.json()
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entry_point_id = body.get("entry_point_id", "default")
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input_data = body.get("input_data", {})
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session_state = body.get("session_state") or {}
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# Scope the worker execution to the live session ID
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if "resume_session_id" not in session_state:
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session_state["resume_session_id"] = session.id
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try:
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execution_id = await session.colony_runtime.trigger(
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entry_point_id,
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input_data,
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session_state=session_state,
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)
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except ExecutionAlreadyRunningError as exc:
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return _execution_already_running_response(exc)
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# Cancel queen's in-progress LLM turn so it picks up the phase change cleanly
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if session.queen_executor:
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node = session.queen_executor.node_registry.get("queen")
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if node and hasattr(node, "cancel_current_turn"):
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node.cancel_current_turn()
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# Switch queen to working phase — workers just started from the UI.
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if session.phase_state is not None:
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await session.phase_state.switch_to_working(source="frontend")
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return web.json_response({"execution_id": execution_id})
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async def handle_inject(request: web.Request) -> web.Response:
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"""POST /api/sessions/{session_id}/inject — inject input into a waiting node.
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Body: {"node_id": "...", "content": "...", "graph_id": "..."}
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"""
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session, err = resolve_session(request)
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if err:
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return err
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if not session.colony_runtime:
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return web.json_response({"error": "No colony loaded in this session"}, status=503)
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body = await request.json()
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node_id = body.get("node_id")
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content = body.get("content", "")
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colony_id = body.get("colony_id")
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if not node_id:
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return web.json_response({"error": "node_id is required"}, status=400)
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delivered = await session.colony_runtime.inject_input(node_id, content, graph_id=colony_id)
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return web.json_response({"delivered": delivered})
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async def handle_chat(request: web.Request) -> web.Response:
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"""POST /api/sessions/{session_id}/chat — send a message to the queen.
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The input box is permanently connected to the queen agent, including
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replies to worker-originated questions. The queen decides whether to
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relay the user's answer back into the worker via inject_message().
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Body: {"message": "hello", "images": [{"type": "image_url", "image_url": {"url": "data:..."}}]}
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The optional ``images`` field accepts a list of OpenAI-format image_url
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content blocks. The frontend encodes images as base64 data URIs.
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"""
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session, err = resolve_session(request)
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if err:
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logger.debug("[handle_chat] Session resolution failed: %s", err)
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return err
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# Sessions that have spawned a colony are locked: the user must compact +
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# fork into a fresh session before continuing the conversation. Frontend
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# surfaces this as a button instead of the textarea, but enforce server-
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# side too so the lock can't be bypassed by a stale tab or scripted call.
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if getattr(session, "colony_spawned", False):
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return web.json_response(
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{
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"error": "session_locked",
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"reason": "colony_spawned",
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"spawned_colony_name": getattr(session, "spawned_colony_name", None),
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"message": (
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"This session is locked because a colony has been "
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"spawned from it. Compact and start a new session "
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"with the same queen to continue."
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),
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},
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status=409,
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)
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body = await request.json()
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message = body.get("message", "")
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display_message = body.get("display_message")
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image_content = body.get("images") or None # list[dict] | None
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logger.debug(
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"[handle_chat] session_id=%s, message_len=%d, has_images=%s",
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session.id,
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len(message),
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bool(image_content),
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)
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logger.debug("[handle_chat] session.queen_executor=%s", session.queen_executor)
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if not message and not image_content:
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return web.json_response({"error": "message is required"}, status=400)
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queen_executor = session.queen_executor
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if queen_executor is not None:
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logger.debug("[handle_chat] Queen executor exists, looking for 'queen' node...")
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logger.debug(
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"[handle_chat] node_registry type=%s, id=%s",
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type(queen_executor.node_registry),
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id(queen_executor.node_registry),
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)
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logger.debug("[handle_chat] node_registry keys: %s", list(queen_executor.node_registry.keys()))
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node = queen_executor.node_registry.get("queen")
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logger.debug("[handle_chat] node=%s, node_type=%s", node, type(node).__name__ if node else None)
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logger.debug("[handle_chat] has_inject_event=%s", hasattr(node, "inject_event") if node else False)
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# Race condition: executor exists but node not created yet (still initializing)
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if node is None and session.queen_task is not None and not session.queen_task.done():
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logger.warning("[handle_chat] Queen executor exists but node not ready yet (initializing). Waiting...")
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# Wait a short time for initialization to progress
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import asyncio
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for _ in range(50): # Max 5 seconds
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await asyncio.sleep(0.1)
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node = queen_executor.node_registry.get("queen")
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if node is not None:
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logger.debug("[handle_chat] Node appeared after waiting")
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break
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else:
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logger.error("[handle_chat] Node still not available after 5s wait")
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if node is not None and hasattr(node, "inject_event"):
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# Publish BEFORE inject_event so handlers (e.g. memory recall)
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# complete before the event loop unblocks and starts the LLM turn.
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from framework.host.event_bus import AgentEvent, EventType
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await session.event_bus.publish(
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AgentEvent(
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type=EventType.CLIENT_INPUT_RECEIVED,
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stream_id="queen",
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node_id="queen",
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execution_id=session.id,
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data={
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# Allow the UI to display a user-friendly echo while
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# the queen receives a richer relay wrapper.
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"content": display_message if display_message is not None else message,
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"image_count": len(image_content) if image_content else 0,
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},
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)
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)
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try:
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logger.debug("[handle_chat] Calling node.inject_event()...")
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await node.inject_event(message, is_client_input=True, image_content=image_content)
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logger.debug("[handle_chat] inject_event() completed successfully")
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except Exception as e:
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logger.exception("[handle_chat] inject_event() failed: %s", e)
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raise
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return web.json_response(
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{
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"status": "queen",
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"delivered": True,
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}
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)
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else:
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if node is None:
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logger.error(
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"[handle_chat] CRITICAL: Queen node is None!"
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" node_registry has %d keys: %s,"
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" queen_task=%s, queen_task_done=%s",
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len(queen_executor.node_registry),
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list(queen_executor.node_registry.keys()),
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session.queen_task,
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session.queen_task.done() if session.queen_task else None,
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)
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else:
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logger.error(
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"[handle_chat] CRITICAL: Queen node exists but missing inject_event! node_attrs=%s",
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[a for a in dir(node) if not a.startswith("_")],
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)
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# Queen is dead — try to revive her
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logger.warning("[handle_chat] Queen is dead for session '%s', reviving on /chat request", session.id)
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manager: Any = request.app["manager"]
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try:
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logger.debug("[handle_chat] Calling manager.revive_queen()...")
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await manager.revive_queen(session)
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logger.debug("[handle_chat] revive_queen() completed successfully")
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# Inject the user's message into the revived queen's queue so the
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# event loop drains it and clears any restored pending_input_state.
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_revived_executor = session.queen_executor
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_revived_node = _revived_executor.node_registry.get("queen") if _revived_executor else None
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if _revived_node is not None and hasattr(_revived_node, "inject_event"):
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await _revived_node.inject_event(message, is_client_input=True, image_content=image_content)
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return web.json_response(
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{
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"status": "queen_revived",
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"delivered": True,
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}
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)
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except Exception as e:
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logger.exception("[handle_chat] Failed to revive queen: %s", e)
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return web.json_response({"error": "Queen not available"}, status=503)
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async def handle_queen_context(request: web.Request) -> web.Response:
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"""POST /api/sessions/{session_id}/queen-context — queue context for the queen.
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Unlike /chat, this does NOT trigger an LLM response. The message is
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queued in the queen's injection queue and will be drained on her next
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natural iteration (prefixed with [External event]:).
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Body: {"message": "..."}
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"""
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session, err = resolve_session(request)
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if err:
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return err
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body = await request.json()
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message = body.get("message", "")
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if not message:
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return web.json_response({"error": "message is required"}, status=400)
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queen_executor = session.queen_executor
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if queen_executor is not None:
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node = queen_executor.node_registry.get("queen")
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if node is not None and hasattr(node, "inject_event"):
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await node.inject_event(message, is_client_input=False)
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return web.json_response({"status": "queued", "delivered": True})
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# Queen is dead — try to revive her
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logger.warning(
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"Queen is dead for session '%s', reviving on /queen-context request",
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session.id,
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)
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manager: Any = request.app["manager"]
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try:
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await manager.revive_queen(session)
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# After revival, deliver the message
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queen_executor = session.queen_executor
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if queen_executor is not None:
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node = queen_executor.node_registry.get("queen")
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if node is not None and hasattr(node, "inject_event"):
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await node.inject_event(message, is_client_input=False)
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return web.json_response({"status": "queued_revived", "delivered": True})
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except Exception as e:
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logger.error("Failed to revive queen for context: %s", e)
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return web.json_response({"error": "Queen not available"}, status=503)
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async def handle_goal_progress(request: web.Request) -> web.Response:
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"""GET /api/sessions/{session_id}/goal-progress — evaluate goal progress."""
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session, err = resolve_session(request)
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if err:
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return err
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if not session.colony_runtime:
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return web.json_response({"error": "No colony loaded in this session"}, status=503)
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progress = await session.colony_runtime.get_goal_progress()
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return web.json_response(progress, dumps=lambda obj: json.dumps(obj, default=str))
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async def handle_resume(request: web.Request) -> web.Response:
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"""POST /api/sessions/{session_id}/resume — resume a paused execution.
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Body: {"session_id": "...", "checkpoint_id": "..." (optional)}
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"""
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session, err = resolve_session(request)
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if err:
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return err
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if not session.colony_runtime:
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return web.json_response({"error": "No colony loaded in this session"}, status=503)
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body = await request.json()
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worker_session_id = body.get("session_id")
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checkpoint_id = body.get("checkpoint_id")
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if not worker_session_id:
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return web.json_response({"error": "session_id is required"}, status=400)
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worker_session_id = safe_path_segment(worker_session_id)
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if checkpoint_id:
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checkpoint_id = safe_path_segment(checkpoint_id)
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# Read session state
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session_dir = sessions_dir(session) / worker_session_id
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state_path = session_dir / "state.json"
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if not state_path.exists():
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return web.json_response({"error": "Session not found"}, status=404)
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try:
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state = json.loads(state_path.read_text(encoding="utf-8"))
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except (json.JSONDecodeError, OSError) as e:
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return web.json_response({"error": f"Failed to read session: {e}"}, status=500)
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if not checkpoint_id:
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return web.json_response(
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{"error": "checkpoint_id is required; non-checkpoint resume is no longer supported"},
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status=400,
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)
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cp_path = session_dir / "checkpoints" / f"{checkpoint_id}.json"
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if not cp_path.exists():
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return web.json_response({"error": "Checkpoint not found"}, status=404)
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resume_session_state = {
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"resume_session_id": worker_session_id,
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"resume_from_checkpoint": checkpoint_id,
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"run_id": _load_checkpoint_run_id(cp_path),
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}
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entry_points = session.colony_runtime.get_entry_points()
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if not entry_points:
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return web.json_response({"error": "No entry points available"}, status=400)
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input_data = state.get("input_data", {})
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try:
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execution_id = await session.colony_runtime.trigger(
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entry_points[0].id,
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input_data=input_data,
|
|
session_state=resume_session_state,
|
|
)
|
|
except ExecutionAlreadyRunningError as exc:
|
|
return _execution_already_running_response(exc)
|
|
|
|
return web.json_response(
|
|
{
|
|
"execution_id": execution_id,
|
|
"resumed_from": worker_session_id,
|
|
"checkpoint_id": checkpoint_id,
|
|
}
|
|
)
|
|
|
|
|
|
async def handle_pause(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/pause — pause the worker (queen stays alive).
|
|
|
|
Mirrors the queen's stop_worker() tool: cancels all active worker
|
|
executions, pauses timers so nothing auto-restarts, but does NOT
|
|
touch the queen so she can observe and react to the pause.
|
|
"""
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
if not session.colony_runtime:
|
|
return web.json_response({"error": "No colony loaded in this session"}, status=503)
|
|
|
|
runtime = session.colony_runtime
|
|
cancelled = []
|
|
cancelling = []
|
|
|
|
for colony_id in runtime.list_graphs():
|
|
reg = runtime.get_graph_registration(colony_id)
|
|
if reg is None:
|
|
continue
|
|
for _ep_id, stream in reg.streams.items():
|
|
# Signal shutdown on active nodes to abort in-flight LLM streams
|
|
for executor in stream._active_executors.values():
|
|
for node in executor.node_registry.values():
|
|
if hasattr(node, "signal_shutdown"):
|
|
node.signal_shutdown()
|
|
if hasattr(node, "cancel_current_turn"):
|
|
node.cancel_current_turn()
|
|
|
|
for exec_id in list(stream.active_execution_ids):
|
|
try:
|
|
outcome = await stream.cancel_execution(exec_id, reason="Execution paused by user")
|
|
if outcome == "cancelled":
|
|
cancelled.append(exec_id)
|
|
elif outcome == "cancelling":
|
|
cancelling.append(exec_id)
|
|
except Exception:
|
|
pass
|
|
|
|
# Pause timers so the next tick doesn't restart execution
|
|
runtime.pause_timers()
|
|
|
|
# Switch to reviewing — workers stopped, queen now helps the user
|
|
# interpret whatever they produced and decide next steps.
|
|
if session.phase_state is not None:
|
|
await session.phase_state.switch_to_reviewing(source="frontend")
|
|
|
|
return web.json_response(
|
|
{
|
|
"stopped": bool(cancelled) and not cancelling,
|
|
"cancelled": cancelled,
|
|
"cancelling": cancelling,
|
|
"timers_paused": True,
|
|
}
|
|
)
|
|
|
|
|
|
async def handle_stop(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/stop — cancel a running execution.
|
|
|
|
Body: {"execution_id": "..."}
|
|
"""
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
if not session.colony_runtime:
|
|
return web.json_response({"error": "No colony loaded in this session"}, status=503)
|
|
|
|
body = await request.json()
|
|
execution_id = body.get("execution_id")
|
|
|
|
if not execution_id:
|
|
return web.json_response({"error": "execution_id is required"}, status=400)
|
|
|
|
for colony_id in session.colony_runtime.list_graphs():
|
|
reg = session.colony_runtime.get_graph_registration(colony_id)
|
|
if reg is None:
|
|
continue
|
|
for _ep_id, stream in reg.streams.items():
|
|
# Signal shutdown on active nodes to abort in-flight LLM streams
|
|
for executor in stream._active_executors.values():
|
|
for node in executor.node_registry.values():
|
|
if hasattr(node, "signal_shutdown"):
|
|
node.signal_shutdown()
|
|
if hasattr(node, "cancel_current_turn"):
|
|
node.cancel_current_turn()
|
|
|
|
outcome = await stream.cancel_execution(execution_id, reason="Execution stopped by user")
|
|
|
|
if outcome == "cancelled":
|
|
# Cancel queen's in-progress LLM turn
|
|
if session.queen_executor:
|
|
node = session.queen_executor.node_registry.get("queen")
|
|
if node and hasattr(node, "cancel_current_turn"):
|
|
node.cancel_current_turn()
|
|
|
|
# Switch to reviewing — worker stopped, queen helps the user
|
|
# interpret what happened and decide next steps.
|
|
if session.phase_state is not None:
|
|
await session.phase_state.switch_to_reviewing(source="frontend")
|
|
|
|
return web.json_response(
|
|
{
|
|
"stopped": True,
|
|
"cancelling": False,
|
|
"execution_id": execution_id,
|
|
}
|
|
)
|
|
if outcome == "cancelling":
|
|
return web.json_response(
|
|
{
|
|
"stopped": False,
|
|
"cancelling": True,
|
|
"execution_id": execution_id,
|
|
},
|
|
status=202,
|
|
)
|
|
|
|
return web.json_response({"stopped": False, "error": "Execution not found"}, status=404)
|
|
|
|
|
|
async def handle_replay(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/replay — re-run from a checkpoint.
|
|
|
|
Body: {"session_id": "...", "checkpoint_id": "..."}
|
|
"""
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
if not session.colony_runtime:
|
|
return web.json_response({"error": "No colony loaded in this session"}, status=503)
|
|
|
|
body = await request.json()
|
|
worker_session_id = body.get("session_id")
|
|
checkpoint_id = body.get("checkpoint_id")
|
|
|
|
if not worker_session_id:
|
|
return web.json_response({"error": "session_id is required"}, status=400)
|
|
if not checkpoint_id:
|
|
return web.json_response({"error": "checkpoint_id is required"}, status=400)
|
|
|
|
worker_session_id = safe_path_segment(worker_session_id)
|
|
checkpoint_id = safe_path_segment(checkpoint_id)
|
|
|
|
cp_path = sessions_dir(session) / worker_session_id / "checkpoints" / f"{checkpoint_id}.json"
|
|
if not cp_path.exists():
|
|
return web.json_response({"error": "Checkpoint not found"}, status=404)
|
|
|
|
entry_points = session.colony_runtime.get_entry_points()
|
|
if not entry_points:
|
|
return web.json_response({"error": "No entry points available"}, status=400)
|
|
|
|
replay_session_state = {
|
|
"resume_session_id": worker_session_id,
|
|
"resume_from_checkpoint": checkpoint_id,
|
|
"run_id": _load_checkpoint_run_id(cp_path),
|
|
}
|
|
|
|
try:
|
|
execution_id = await session.colony_runtime.trigger(
|
|
entry_points[0].id,
|
|
input_data={},
|
|
session_state=replay_session_state,
|
|
)
|
|
except ExecutionAlreadyRunningError as exc:
|
|
return _execution_already_running_response(exc)
|
|
|
|
return web.json_response(
|
|
{
|
|
"execution_id": execution_id,
|
|
"replayed_from": worker_session_id,
|
|
"checkpoint_id": checkpoint_id,
|
|
}
|
|
)
|
|
|
|
|
|
async def handle_cancel_queen(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/cancel-queen — cancel the queen's current LLM turn."""
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
queen_executor = session.queen_executor
|
|
if queen_executor is None:
|
|
return web.json_response({"cancelled": False, "error": "Queen not active"}, status=404)
|
|
node = queen_executor.node_registry.get("queen")
|
|
if node is None or not hasattr(node, "cancel_current_turn"):
|
|
return web.json_response({"cancelled": False, "error": "Queen node not found"}, status=404)
|
|
node.cancel_current_turn()
|
|
return web.json_response({"cancelled": True})
|
|
|
|
|
|
async def handle_mark_colony_spawned(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/mark-colony-spawned -- lock the queen DM.
|
|
|
|
Called by the frontend the first time the user clicks the
|
|
COLONY_CREATED system message. Persists ``colony_spawned: true`` and
|
|
``spawned_colony_name`` into the queen session's ``meta.json`` so the
|
|
lock survives server restart, and caches the same on the live Session
|
|
object so subsequent /chat calls in this process can be rejected
|
|
immediately without disk I/O.
|
|
|
|
Body: ``{"colony_name": "..."}``
|
|
"""
|
|
from datetime import datetime as _dt
|
|
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
body = await request.json() if request.can_read_body else {}
|
|
colony_name = (body.get("colony_name") or "").strip()
|
|
if not colony_name:
|
|
return web.json_response({"error": "colony_name is required"}, status=400)
|
|
|
|
queen_dir = getattr(session, "queen_dir", None)
|
|
if queen_dir is None:
|
|
return web.json_response(
|
|
{"error": "queen session directory is not set on this session"},
|
|
status=503,
|
|
)
|
|
|
|
meta_path = queen_dir / "meta.json"
|
|
meta: dict = {}
|
|
if meta_path.exists():
|
|
try:
|
|
meta = json.loads(meta_path.read_text(encoding="utf-8"))
|
|
except (json.JSONDecodeError, OSError):
|
|
meta = {}
|
|
|
|
meta["colony_spawned"] = True
|
|
meta["spawned_colony_name"] = colony_name
|
|
meta["spawned_colony_at"] = _dt.now(UTC).isoformat()
|
|
|
|
try:
|
|
meta_path.parent.mkdir(parents=True, exist_ok=True)
|
|
meta_path.write_text(json.dumps(meta), encoding="utf-8")
|
|
except OSError as exc:
|
|
logger.exception("mark_colony_spawned: failed to persist meta.json")
|
|
return web.json_response({"error": f"failed to persist: {exc}"}, status=500)
|
|
|
|
session.colony_spawned = True
|
|
session.spawned_colony_name = colony_name
|
|
|
|
return web.json_response(
|
|
{
|
|
"session_id": session.id,
|
|
"colony_spawned": True,
|
|
"spawned_colony_name": colony_name,
|
|
}
|
|
)
|
|
|
|
|
|
async def handle_compact_and_fork(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/compact-and-fork -- compact + new session.
|
|
|
|
The locked-by-colony-spawn UI calls this when the user clicks "compact
|
|
+ start a new session with the same queen". The flow:
|
|
|
|
1. Read the queen's full conversation off disk.
|
|
2. Run the LLM compactor with ``preserve_user_messages=True`` so every
|
|
user turn survives verbatim into the summary.
|
|
3. Mint a fresh session ID, copy the old queen-session dir to the new
|
|
location, then replace the conversation parts with a single
|
|
summary message and reset the cursor. The new session starts with
|
|
a clean event log.
|
|
4. Spin up a live session bound to the new dir using the same queen
|
|
identity. The OLD session stays alive but locked; the user
|
|
navigates to the new session in the response.
|
|
"""
|
|
import asyncio
|
|
import shutil
|
|
import time as _time
|
|
from datetime import datetime as _dt
|
|
|
|
from framework.agent_loop.conversation import Message
|
|
from framework.agent_loop.internals.compaction import llm_compact
|
|
from framework.agent_loop.types import AgentContext
|
|
from framework.server.session_manager import (
|
|
_generate_session_id,
|
|
_queen_session_dir,
|
|
)
|
|
from framework.storage.conversation_store import FileConversationStore
|
|
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
queen_dir = getattr(session, "queen_dir", None)
|
|
if queen_dir is None or not queen_dir.exists():
|
|
return web.json_response(
|
|
{"error": "queen session directory not found"},
|
|
status=404,
|
|
)
|
|
|
|
queen_executor = getattr(session, "queen_executor", None)
|
|
if queen_executor is None:
|
|
return web.json_response({"error": "queen is not running"}, status=503)
|
|
queen_node = queen_executor.node_registry.get("queen") if queen_executor else None
|
|
queen_ctx: AgentContext | None = getattr(queen_node, "_last_ctx", None) if queen_node else None
|
|
if queen_ctx is None or queen_ctx.llm is None:
|
|
return web.json_response(
|
|
{
|
|
"error": (
|
|
"queen context not yet stamped (no LLM available for "
|
|
"compaction). Send a message to the queen and retry."
|
|
)
|
|
},
|
|
status=503,
|
|
)
|
|
|
|
queen_name = session.queen_name or "default"
|
|
convs_dir = queen_dir / "conversations"
|
|
if not convs_dir.exists():
|
|
return web.json_response(
|
|
{"error": "queen has no conversation history yet"},
|
|
status=400,
|
|
)
|
|
|
|
src_store = FileConversationStore(convs_dir)
|
|
raw_parts = await src_store.read_parts()
|
|
messages: list[Message] = []
|
|
for part in raw_parts:
|
|
try:
|
|
messages.append(Message.from_storage_dict(part))
|
|
except (KeyError, TypeError):
|
|
# Skip malformed parts rather than failing the whole compaction;
|
|
# the summary will note the gap if needed.
|
|
logger.warning("compact_and_fork: skipping malformed part %r", part)
|
|
continue
|
|
if not messages:
|
|
return web.json_response(
|
|
{"error": "queen conversation is empty -- nothing to compact"},
|
|
status=400,
|
|
)
|
|
|
|
# Run the LLM compactor with preserve_user_messages so the new session
|
|
# carries every user turn forward. Failures here are user-visible
|
|
# because the whole point of the action is the compacted summary.
|
|
try:
|
|
max_ctx_tokens = 180_000
|
|
loop_cfg = getattr(queen_node, "_config", None)
|
|
if loop_cfg is not None and getattr(loop_cfg, "max_context_tokens", None):
|
|
max_ctx_tokens = int(loop_cfg.max_context_tokens)
|
|
summary = await llm_compact(
|
|
queen_ctx,
|
|
messages,
|
|
accumulator=None,
|
|
max_context_tokens=max_ctx_tokens,
|
|
preserve_user_messages=True,
|
|
)
|
|
except Exception as exc:
|
|
logger.exception("compact_and_fork: llm_compact failed")
|
|
return web.json_response(
|
|
{"error": f"compaction failed: {exc}"},
|
|
status=500,
|
|
)
|
|
|
|
new_session_id = _generate_session_id()
|
|
new_dir = _queen_session_dir(new_session_id, queen_name)
|
|
if new_dir.exists():
|
|
# Defensively: same-second collision would clobber another session.
|
|
return web.json_response(
|
|
{"error": f"new session dir collision: {new_dir}"},
|
|
status=500,
|
|
)
|
|
|
|
try:
|
|
await asyncio.to_thread(shutil.copytree, queen_dir, new_dir)
|
|
except OSError as exc:
|
|
logger.exception("compact_and_fork: copytree failed")
|
|
return web.json_response(
|
|
{"error": f"failed to fork session dir: {exc}"},
|
|
status=500,
|
|
)
|
|
|
|
# Replace parts/ with the single compacted summary; clear partials and
|
|
# the event log so the new session presents a clean SSE replay.
|
|
new_parts_dir = new_dir / "conversations" / "parts"
|
|
new_partials_dir = new_dir / "conversations" / "partials"
|
|
new_events_path = new_dir / "events.jsonl"
|
|
|
|
def _cleanup_forked_dir() -> None:
|
|
if new_parts_dir.exists():
|
|
shutil.rmtree(new_parts_dir)
|
|
if new_partials_dir.exists():
|
|
shutil.rmtree(new_partials_dir)
|
|
if new_events_path.exists():
|
|
new_events_path.unlink()
|
|
|
|
try:
|
|
await asyncio.to_thread(_cleanup_forked_dir)
|
|
except OSError:
|
|
logger.warning("compact_and_fork: cleanup of forked dir partial-failed", exc_info=True)
|
|
|
|
# Write the summary as message seq 0 so the new queen wakes up with a
|
|
# single user-role primer that contains everything she needs.
|
|
summary_msg = Message(seq=0, role="user", content=summary)
|
|
dest_store = FileConversationStore(new_dir / "conversations")
|
|
await dest_store.write_part(0, summary_msg.to_storage_dict())
|
|
await dest_store.write_cursor({"next_seq": 1})
|
|
|
|
# Update meta.json: clear the lock and record provenance.
|
|
new_meta_path = new_dir / "meta.json"
|
|
new_meta: dict = {}
|
|
if new_meta_path.exists():
|
|
try:
|
|
new_meta = json.loads(new_meta_path.read_text(encoding="utf-8"))
|
|
except (json.JSONDecodeError, OSError):
|
|
new_meta = {}
|
|
new_meta.pop("colony_spawned", None)
|
|
new_meta.pop("spawned_colony_name", None)
|
|
new_meta.pop("spawned_colony_at", None)
|
|
new_meta["queen_id"] = queen_name
|
|
new_meta["compacted_from"] = session.id
|
|
new_meta["compacted_at"] = _dt.now(UTC).isoformat()
|
|
new_meta["created_at"] = _time.time()
|
|
try:
|
|
new_meta_path.write_text(json.dumps(new_meta), encoding="utf-8")
|
|
except OSError:
|
|
logger.warning("compact_and_fork: failed to write new meta.json", exc_info=True)
|
|
|
|
manager: Any = request.app["manager"]
|
|
try:
|
|
new_session = await manager.create_session(
|
|
session_id=None,
|
|
queen_resume_from=new_session_id,
|
|
queen_name=queen_name,
|
|
initial_phase="independent",
|
|
)
|
|
except Exception as exc:
|
|
logger.exception("compact_and_fork: create_session failed for forked id %s", new_session_id)
|
|
return web.json_response(
|
|
{"error": f"failed to start forked session: {exc}"},
|
|
status=500,
|
|
)
|
|
|
|
return web.json_response(
|
|
{
|
|
"new_session_id": new_session.id,
|
|
"queen_id": queen_name,
|
|
"compacted_from": session.id,
|
|
"summary_chars": len(summary),
|
|
"messages_compacted": len(messages),
|
|
}
|
|
)
|
|
|
|
|
|
async def handle_colony_spawn(request: web.Request) -> web.Response:
|
|
"""POST /api/sessions/{session_id}/colony-spawn -- fork queen session into a colony.
|
|
|
|
Body: {"colony_name": "...", "task": "..."}
|
|
Returns: {"colony_path": "...", "colony_name": "...", "is_new": bool,
|
|
"queen_session_id": "..."}
|
|
"""
|
|
session, err = resolve_session(request)
|
|
if err:
|
|
return err
|
|
|
|
if not session.queen_executor:
|
|
return web.json_response(
|
|
{"error": "Queen is not running in this session."},
|
|
status=503,
|
|
)
|
|
|
|
body = await request.json()
|
|
colony_name = body.get("colony_name", "").strip()
|
|
task = body.get("task", "").strip()
|
|
tasks = body.get("tasks")
|
|
|
|
if not colony_name:
|
|
return web.json_response({"error": "colony_name is required"}, status=400)
|
|
|
|
import re
|
|
|
|
if not re.match(r"^[a-z0-9_]+$", colony_name):
|
|
return web.json_response(
|
|
{"error": "colony_name must be lowercase alphanumeric with underscores"},
|
|
status=400,
|
|
)
|
|
|
|
try:
|
|
result = await fork_session_into_colony(
|
|
session=session,
|
|
colony_name=colony_name,
|
|
task=task,
|
|
tasks=tasks if isinstance(tasks, list) else None,
|
|
)
|
|
except Exception as e:
|
|
logger.exception("colony_spawn fork failed")
|
|
return web.json_response({"error": f"colony fork failed: {e}"}, status=500)
|
|
|
|
return web.json_response(result)
|
|
|
|
|
|
async def fork_session_into_colony(
|
|
*,
|
|
session: Any,
|
|
colony_name: str,
|
|
task: str,
|
|
tasks: list[dict] | None = None,
|
|
) -> dict:
|
|
"""Fork a queen session into a colony directory.
|
|
|
|
Extracted from ``handle_colony_spawn`` so the queen-side
|
|
``create_colony`` tool can call it directly without going through
|
|
HTTP. The caller is responsible for validating ``colony_name``
|
|
against the lowercase-alphanumeric regex.
|
|
|
|
The fork:
|
|
1. Creates a colony directory with a single worker config (``worker.json``)
|
|
holding the queen's current tools, prompts, skills, and loop config.
|
|
2. Duplicates the queen's full session (conversations + events) into a new
|
|
queen-session directory assigned to the colony so that cold-restoring
|
|
the colony resumes with the queen's entire conversation history.
|
|
3. Multiple independent sessions can be created against the same colony,
|
|
giving parallel execution capacity without separate worker configs.
|
|
4. Initializes (or ensures) ``data/progress.db`` — the colony's SQLite
|
|
task queue + progress ledger. When *tasks* is provided, the queen-
|
|
authored task batch is seeded into the queue in one transaction.
|
|
The absolute DB path is threaded into the worker's ``input_data``
|
|
so spawned workers see it in their first user message.
|
|
|
|
Returns ``{"colony_path", "colony_name", "queen_session_id", "is_new",
|
|
"db_path", "task_ids"}``.
|
|
"""
|
|
import asyncio
|
|
import json
|
|
import shutil
|
|
from datetime import datetime
|
|
from pathlib import Path
|
|
|
|
from framework.agent_loop.agent_loop import AgentLoop, LoopConfig
|
|
from framework.agent_loop.types import AgentContext
|
|
from framework.host.progress_db import ensure_progress_db, seed_tasks
|
|
from framework.server.session_manager import _queen_session_dir
|
|
|
|
# Diagnostic capture: when the fork fails here we want to know which
|
|
# piece of queen state was missing (executor cleared vs. node missing
|
|
# vs. _last_ctx never stamped). Without this, callers only see
|
|
# "'NoneType' object has no attribute 'node_registry'" with no hint
|
|
# whether the queen loop exited, is mid-revive, or ran a different
|
|
# path that never ran AgentLoop._execute_impl.
|
|
queen_executor = getattr(session, "queen_executor", None)
|
|
queen_task = getattr(session, "queen_task", None)
|
|
phase_state_dbg = getattr(session, "phase_state", None)
|
|
logger.info(
|
|
"[fork_session_into_colony] session=%s colony=%s "
|
|
"queen_executor=%s queen_task=%s queen_task_done=%s "
|
|
"phase=%s queen_name=%s",
|
|
session.id,
|
|
colony_name,
|
|
queen_executor,
|
|
queen_task,
|
|
queen_task.done() if queen_task is not None else None,
|
|
getattr(phase_state_dbg, "phase", None),
|
|
getattr(session, "queen_name", None),
|
|
)
|
|
|
|
if queen_executor is None:
|
|
raise RuntimeError(
|
|
f"queen_executor is None for session {session.id!r} — the "
|
|
"queen loop isn't running right now. Wait for the queen to "
|
|
"come back (or send her a chat message to revive her) and "
|
|
"retry create_colony. The skill folder is already written, "
|
|
"so the retry is free."
|
|
)
|
|
|
|
node_registry = getattr(queen_executor, "node_registry", None)
|
|
if not isinstance(node_registry, dict) or "queen" not in node_registry:
|
|
raise RuntimeError(
|
|
f"queen node is missing from the executor's registry for "
|
|
f"session {session.id!r} (registry keys="
|
|
f"{list(node_registry.keys()) if isinstance(node_registry, dict) else type(node_registry).__name__}"
|
|
"). The queen loop is in an initialization or teardown "
|
|
"window; retry after a moment."
|
|
)
|
|
|
|
queen_loop: AgentLoop = node_registry["queen"]
|
|
queen_ctx: AgentContext = getattr(queen_loop, "_last_ctx", None)
|
|
if queen_ctx is None:
|
|
logger.warning(
|
|
"[fork_session_into_colony] queen_loop has no _last_ctx yet "
|
|
"(session=%s) — falling back to empty tool/skill snapshot; "
|
|
"the forked worker will inherit no tools.",
|
|
session.id,
|
|
)
|
|
|
|
# "is_new" keys off worker.json, not bare dir existence: the queen's
|
|
# create_colony tool now pre-creates colony_dir (so it can
|
|
# materialize the colony-scoped skill folder BEFORE the fork), which
|
|
# would wrongly flag every fresh colony as "already-exists" if we
|
|
# used ``not colony_dir.exists()``. A colony is "new" until its
|
|
# worker config has actually been written.
|
|
colony_dir = Path.home() / ".hive" / "colonies" / colony_name
|
|
worker_name = "worker"
|
|
worker_config_path = colony_dir / f"{worker_name}.json"
|
|
is_new = not worker_config_path.exists()
|
|
colony_dir.mkdir(parents=True, exist_ok=True)
|
|
(colony_dir / "data").mkdir(exist_ok=True)
|
|
|
|
# ── 0. Ensure the colony's progress DB exists and seed tasks ──
|
|
# Runs before worker.json is written so the DB path can be threaded
|
|
# into input_data. Idempotent on reruns of the same colony name.
|
|
db_path = await asyncio.to_thread(ensure_progress_db, colony_dir)
|
|
seeded_task_ids: list[str] = []
|
|
if tasks:
|
|
seeded_task_ids = await asyncio.to_thread(seed_tasks, db_path, tasks, source="queen_create")
|
|
logger.info(
|
|
"progress_db: seeded %d task(s) into colony '%s'",
|
|
len(seeded_task_ids),
|
|
colony_name,
|
|
)
|
|
elif task and task.strip():
|
|
# Phase 2 auto-seed: when the queen uses the simple single-task
|
|
# form of create_colony (no explicit ``tasks=[{...}]`` list),
|
|
# insert exactly one row so the first worker spawned into this
|
|
# colony has something to claim. Without this the queue is
|
|
# empty and the worker falls back to executing from the chat
|
|
# spawn message, defeating the cross-run durability the tracker
|
|
# exists for.
|
|
try:
|
|
seeded_task_ids = await asyncio.to_thread(
|
|
seed_tasks,
|
|
db_path,
|
|
[{"goal": task.strip()}],
|
|
source="create_colony_auto",
|
|
)
|
|
logger.info(
|
|
"progress_db: auto-seeded 1 task into colony '%s' (task_id=%s, from single-task create_colony form)",
|
|
colony_name,
|
|
seeded_task_ids[0] if seeded_task_ids else "?",
|
|
)
|
|
except Exception as exc:
|
|
logger.warning(
|
|
"progress_db: auto-seed failed for colony '%s' (continuing without a pre-seeded row): %s",
|
|
colony_name,
|
|
exc,
|
|
)
|
|
|
|
# Fixed worker name and config path are already computed above so
|
|
# ``is_new`` can be derived from worker.json rather than the colony
|
|
# directory (see comment on the ``is_new`` block).
|
|
|
|
# ── 1. Gather queen state ─────────────────────────────────────
|
|
# Queen-lifecycle + agent-management tools are registered ONLY against
|
|
# the queen's runtime (they need a live session + phase_state to
|
|
# operate). Forking them into a worker config makes the worker fail
|
|
# tool validation when its own runtime loads because those tools
|
|
# aren't registered there. Strip them out of the snapshot.
|
|
#
|
|
# The blacklist is derived from the queen phase tool lists: any tool
|
|
# that appears in any _QUEEN_*_TOOLS list but is NOT in the worker's
|
|
# "work-doing" whitelist (file I/O + shell + undo) is queen-only.
|
|
# This stays in sync automatically when new queen tools are added.
|
|
queen_only_tools = _resolve_queen_only_tools()
|
|
queen_tools: list = queen_ctx.available_tools if queen_ctx else []
|
|
tool_names = [t.name for t in queen_tools if t.name not in queen_only_tools]
|
|
|
|
phase_state = getattr(session, "phase_state", None)
|
|
|
|
# Skills + protocols ARE inherited by the worker so it knows how to
|
|
# use tools and follow operational conventions. These are NOT queen
|
|
# identity data -- they are runtime-neutral guides.
|
|
queen_skills_catalog = queen_ctx.skills_catalog_prompt if queen_ctx else ""
|
|
queen_protocols = queen_ctx.protocols_prompt if queen_ctx else ""
|
|
queen_skill_dirs = queen_ctx.skill_dirs if queen_ctx else []
|
|
|
|
# Build a focused, worker-scoped system prompt. We deliberately do
|
|
# NOT inherit the queen's identity_prompt or her phase-specific prompt
|
|
# (building / running / etc.) -- those describe "how to be a queen"
|
|
# and confuse the worker into greeting the user as Charlotte with no
|
|
# memory. The worker is a task executor; give it a task-focused brief.
|
|
worker_task = task or "Continue the work from the queen's current session."
|
|
worker_system_prompt = (
|
|
"You are a focused worker agent spawned by the queen to carry out "
|
|
"one specific task. Read the goal carefully, use your available "
|
|
"tools to make progress, and call set_output when complete. "
|
|
"If you get stuck or need human judgement, call escalate to hand "
|
|
"the question back to the queen.\n\n"
|
|
f"Task: {worker_task}"
|
|
)
|
|
|
|
queen_lc_config: dict = {
|
|
"max_iterations": 999_999,
|
|
"max_tool_calls_per_turn": 30,
|
|
"max_context_tokens": 180_000,
|
|
}
|
|
queen_config: LoopConfig | None = getattr(queen_loop, "_config", None)
|
|
if queen_config is not None:
|
|
queen_lc_config["max_iterations"] = queen_config.max_iterations
|
|
queen_lc_config["max_tool_calls_per_turn"] = queen_config.max_tool_calls_per_turn
|
|
queen_lc_config["max_context_tokens"] = queen_config.max_context_tokens
|
|
queen_lc_config["max_tool_result_chars"] = queen_config.max_tool_result_chars
|
|
|
|
# ── 2. Write worker.json (create or update) ──────────────────
|
|
# identity_prompt and memory_prompt are intentionally EMPTY -- the
|
|
# worker is not Charlotte / Alexandra / etc., it is a task executor.
|
|
# Inheriting the queen's persona made the worker greet the user in
|
|
# first person with no memory of the task it was actually given.
|
|
# Thread the first seeded task_id into input_data so the worker's
|
|
# first claim pins to a specific row (skill's assigned-task-id
|
|
# branch). When multiple tasks were seeded we only pin the first —
|
|
# subsequent workers (via run_agent_with_input or parallel spawns)
|
|
# get their own task_id assigned at spawn time.
|
|
_worker_input_data: dict[str, Any] = {
|
|
"db_path": str(db_path),
|
|
"colony_id": colony_name,
|
|
}
|
|
if seeded_task_ids:
|
|
_worker_input_data["task_id"] = seeded_task_ids[0]
|
|
|
|
worker_meta = {
|
|
"name": worker_name,
|
|
"version": "1.0.0",
|
|
"description": f"Worker clone from queen session {session.id}",
|
|
# Colony progress tracker: worker sees these in its first user
|
|
# message via _format_spawn_task_message. The colony-progress-
|
|
# tracker default skill teaches the worker how to use them.
|
|
"input_data": _worker_input_data,
|
|
"goal": {
|
|
"description": worker_task,
|
|
"success_criteria": [],
|
|
"constraints": [],
|
|
},
|
|
"system_prompt": worker_system_prompt,
|
|
"tools": tool_names,
|
|
"skills_catalog_prompt": queen_skills_catalog,
|
|
"protocols_prompt": queen_protocols,
|
|
"skill_dirs": list(queen_skill_dirs),
|
|
"identity_prompt": "",
|
|
"memory_prompt": "",
|
|
"queen_phase": phase_state.phase if phase_state else "",
|
|
"queen_id": getattr(phase_state, "queen_id", "") if phase_state else "",
|
|
"loop_config": queen_lc_config,
|
|
"spawned_from": session.id,
|
|
"spawned_at": datetime.now(UTC).isoformat(),
|
|
}
|
|
worker_config_path.write_text(json.dumps(worker_meta, indent=2, ensure_ascii=False), encoding="utf-8")
|
|
|
|
# ── 3. Duplicate queen session into colony ───────────────────
|
|
# Copy the queen's full session directory (conversations, events,
|
|
# meta) into a new queen-session dir assigned to this colony.
|
|
# This is the "brain fork" -- the colony queen starts with the
|
|
# full conversation history from the originating session.
|
|
#
|
|
# session.queen_dir is authoritative -- queen_orchestrator relocates
|
|
# it from default/ to the selected queen's dir on identity selection.
|
|
source_queen_dir = session.queen_dir
|
|
# Extract queen identity from the dir path: .../queens/{name}/sessions/xxx
|
|
queen_name = (
|
|
source_queen_dir.parent.parent.name
|
|
if source_queen_dir and source_queen_dir.exists()
|
|
else (session.queen_name or "default")
|
|
)
|
|
|
|
# Generate a colony-specific session ID so the colony has its own
|
|
# session identity while preserving the full conversation.
|
|
from framework.server.session_manager import _generate_session_id
|
|
|
|
colony_session_id = _generate_session_id()
|
|
dest_queen_dir = _queen_session_dir(colony_session_id, queen_name)
|
|
|
|
if source_queen_dir.exists():
|
|
await asyncio.to_thread(shutil.copytree, source_queen_dir, dest_queen_dir, dirs_exist_ok=True)
|
|
# Update the duplicated meta.json to point to the colony
|
|
dest_meta_path = dest_queen_dir / "meta.json"
|
|
dest_meta: dict = {}
|
|
if dest_meta_path.exists():
|
|
try:
|
|
dest_meta = json.loads(dest_meta_path.read_text(encoding="utf-8"))
|
|
except (json.JSONDecodeError, OSError):
|
|
pass
|
|
dest_meta["agent_path"] = str(colony_dir)
|
|
dest_meta["agent_name"] = colony_name.replace("_", " ").title()
|
|
dest_meta["queen_id"] = queen_name
|
|
dest_meta["forked_from"] = session.id
|
|
dest_meta["colony_fork"] = True # exclude from queen DM history
|
|
dest_meta_path.write_text(json.dumps(dest_meta, ensure_ascii=False), encoding="utf-8")
|
|
logger.info(
|
|
"Duplicated queen session %s -> %s for colony '%s'",
|
|
session.id,
|
|
colony_session_id,
|
|
colony_name,
|
|
)
|
|
# Copy queen conversations into worker storage so the worker
|
|
# starts with the queen's full context.
|
|
worker_storage = Path.home() / ".hive" / "agents" / colony_name / worker_name
|
|
worker_storage.mkdir(parents=True, exist_ok=True)
|
|
worker_conv_dir = worker_storage / "conversations"
|
|
source_conv_dir = dest_queen_dir / "conversations"
|
|
if source_conv_dir.exists():
|
|
await asyncio.to_thread(shutil.copytree, source_conv_dir, worker_conv_dir, dirs_exist_ok=True)
|
|
logger.info("Copied queen conversations to worker storage %s", worker_conv_dir)
|
|
else:
|
|
logger.warning(
|
|
"Queen session dir %s not found, colony will start fresh",
|
|
source_queen_dir,
|
|
)
|
|
|
|
# ── 4. Write metadata.json (queen provenance) ────────────────
|
|
metadata_path = colony_dir / "metadata.json"
|
|
metadata: dict = {}
|
|
if metadata_path.exists():
|
|
try:
|
|
metadata = json.loads(metadata_path.read_text(encoding="utf-8"))
|
|
except Exception:
|
|
pass
|
|
metadata["colony_name"] = colony_name
|
|
metadata["queen_name"] = queen_name
|
|
metadata["queen_session_id"] = colony_session_id
|
|
metadata["source_session_id"] = session.id
|
|
metadata.setdefault("created_at", datetime.now(UTC).isoformat())
|
|
metadata["updated_at"] = datetime.now(UTC).isoformat()
|
|
metadata.setdefault("workers", {})
|
|
metadata["workers"][worker_name] = {
|
|
"task": worker_task[:100],
|
|
"spawned_at": datetime.now(UTC).isoformat(),
|
|
}
|
|
metadata_path.write_text(json.dumps(metadata, indent=2, ensure_ascii=False), encoding="utf-8")
|
|
|
|
# ── 5. Update source queen session meta.json ─────────────────
|
|
# Link the originating session back to the colony for discovery.
|
|
source_meta_path = source_queen_dir / "meta.json"
|
|
if source_meta_path.exists():
|
|
try:
|
|
qmeta = json.loads(source_meta_path.read_text(encoding="utf-8"))
|
|
except (json.JSONDecodeError, OSError):
|
|
qmeta = {}
|
|
else:
|
|
qmeta = {}
|
|
qmeta["agent_path"] = str(colony_dir)
|
|
qmeta["agent_name"] = colony_name.replace("_", " ").title()
|
|
try:
|
|
source_meta_path.parent.mkdir(parents=True, exist_ok=True)
|
|
source_meta_path.write_text(json.dumps(qmeta, ensure_ascii=False), encoding="utf-8")
|
|
except OSError:
|
|
pass
|
|
|
|
logger.info(
|
|
"Forked queen to colony '%s' (new=%s, tools=%d, session=%s)",
|
|
colony_name,
|
|
is_new,
|
|
len(queen_tools),
|
|
colony_session_id,
|
|
)
|
|
return {
|
|
"colony_path": str(colony_dir),
|
|
"colony_name": colony_name,
|
|
"queen_session_id": colony_session_id,
|
|
"is_new": is_new,
|
|
"db_path": str(db_path),
|
|
"task_ids": seeded_task_ids,
|
|
}
|
|
|
|
|
|
def register_routes(app: web.Application) -> None:
|
|
"""Register execution control routes."""
|
|
# Session-primary routes
|
|
app.router.add_post("/api/sessions/{session_id}/trigger", handle_trigger)
|
|
app.router.add_post("/api/sessions/{session_id}/inject", handle_inject)
|
|
app.router.add_post("/api/sessions/{session_id}/chat", handle_chat)
|
|
app.router.add_post("/api/sessions/{session_id}/queen-context", handle_queen_context)
|
|
app.router.add_post("/api/sessions/{session_id}/pause", handle_pause)
|
|
app.router.add_post("/api/sessions/{session_id}/resume", handle_resume)
|
|
app.router.add_post("/api/sessions/{session_id}/stop", handle_stop)
|
|
app.router.add_post("/api/sessions/{session_id}/cancel-queen", handle_cancel_queen)
|
|
app.router.add_post("/api/sessions/{session_id}/replay", handle_replay)
|
|
app.router.add_get("/api/sessions/{session_id}/goal-progress", handle_goal_progress)
|
|
app.router.add_post("/api/sessions/{session_id}/colony-spawn", handle_colony_spawn)
|
|
app.router.add_post(
|
|
"/api/sessions/{session_id}/mark-colony-spawned",
|
|
handle_mark_colony_spawned,
|
|
)
|
|
app.router.add_post(
|
|
"/api/sessions/{session_id}/compact-and-fork",
|
|
handle_compact_and_fork,
|
|
)
|