feat: relay sub-agent activity chunks to parent MCP context
This commit is contained in:
@@ -1,28 +1,56 @@
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"""fast-agent runtime patches — traceback capture on three opaque catch-sites.
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"""fast-agent runtime patches — traceback capture + sub-agent activity relay.
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fast-agent's transport layer catches every downstream-transport exception at
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several nesting levels, logs only ``str(exc)`` (no ``exc_info=True``), and
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re-raises. By the time the exception surfaces to the MCP tool result, the
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traceback has been flattened to a bare string — the canonical symptom being
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``"object NoneType can't be used in 'await' expression"`` with no stack
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attached. This module wraps three of those catch-sites so Pallas emits
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``logger.exception(...)`` with the full frame before fast-agent's swallowing
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``except`` runs. Behaviour is otherwise unchanged: every wrapper re-raises
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the exception it caught.
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This module wires two unrelated extensions onto fast-agent at import time:
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The three wrapped entry points are:
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A. **Traceback capture** on three opaque catch-sites.
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1. ``MCPAgentClientSession.send_request`` — the lowest-level send call;
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2. ``MCPAgentClientSession.call_tool`` — the session-side wrapper around
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meta merge, permission handling, progress callback factory, and the
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send_request invocation itself;
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3. ``MCPAggregator._execute_on_server`` — the aggregator's setup around
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the client call (server lookup, session factory, tracer span,
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``try_execute`` harness).
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fast-agent's transport layer catches every downstream-transport exception
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at several nesting levels, logs only ``str(exc)`` (no ``exc_info=True``),
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and re-raises. By the time the exception surfaces to the MCP tool
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result, the traceback has been flattened to a bare string — the
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canonical symptom being ``"object NoneType can't be used in 'await'
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expression"`` with no stack attached. We wrap three of those
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catch-sites so Pallas emits ``logger.exception(...)`` with the full
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frame before fast-agent's swallowing ``except`` runs. Behaviour is
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otherwise unchanged: every wrapper re-raises the exception it caught.
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Any one wrapper being triggered while the other two stay silent pinpoints
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which frame is swallowing the exception, which is how we debug opaque
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transport failures.
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The three wrapped entry points are:
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1. ``MCPAgentClientSession.send_request`` — the lowest-level send call;
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2. ``MCPAgentClientSession.call_tool`` — the session-side wrapper around
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meta merge, permission handling, progress callback factory, and the
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send_request invocation itself;
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3. ``MCPAggregator._execute_on_server`` — the aggregator's setup around
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the client call (server lookup, session factory, tracer span,
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``try_execute`` harness).
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Any one wrapper being triggered while the other two stay silent
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pinpoints which frame is swallowing the exception, which is how we
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debug opaque transport failures.
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B. **Sub-agent activity relay** — see ``pallas.mcp_subagent_relay``.
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When Alan calls a peer agent (research/jeffrey/ann/...) the peer's
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own ``assistant_chunk`` notifications stop at fast-agent's
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``MCPAgentClientSession``. We wrap two surfaces to fix that:
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1. ``MCPAggregator._create_session_factory`` — the per-server factory
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that builds peer ``MCPAgentClientSession`` instances. We
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post-process the returned session by attaching our
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``logging_callback`` (replacing the default no-op) so peer
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``notifications/message`` flow through our relay filter and get
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re-emitted on the parent's MCP context.
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2. ``MCPAggregator.call_tool`` — the entry point fast-agent's tool
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runner reaches when invoking a peer. We push/pop the
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``(tool_use_id, server_name)`` in-flight stack on the peer session
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so the relay callback (which runs on the SDK reader task and
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therefore can't see contextvars) can attribute incoming chunks to
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the right parent tool_call.
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The relay's upstream-send callable is set per-request from
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``multimodal_server.py``'s ``register_agent_tools`` via
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``set_upstream_send_for_request`` — Pallas knows the parent ``ctx``
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only inside a tool call, so the upstream binding is request-scoped.
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Historical note: this file used to also carry the bearer-forwarding patch
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that propagated inbound ``Authorization`` headers to opted-in downstream
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@@ -35,16 +63,105 @@ server's ``headers.Authorization`` is what fast-agent sends, full stop.
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from __future__ import annotations
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import contextvars
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import logging
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import time
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from typing import Any, Awaitable, Callable
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from fast_agent.mcp import mcp_aggregator as _magg
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from fast_agent.mcp import mcp_agent_client_session as _macs
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from pallas import metrics as _pallas_metrics
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from pallas import mcp_subagent_relay as _relay
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logger = logging.getLogger("pallas.forward")
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_trace_logger = logging.getLogger("pallas.forward.trace")
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_relay_logger = logging.getLogger("pallas.subagent_relay")
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# Per-request upstream-send callable. Set by ``multimodal_server.py`` for
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# the duration of one parent ``send_message`` MCP tool call so the relay's
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# ``logging_callback`` can re-emit chunks on the parent's MCP session.
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# A contextvar (rather than a plain module global) is required because
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# multiple concurrent send_message requests share the same Pallas process
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# and would otherwise cross-talk. Async tasks fast-agent spawns inherit
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# the contextvar — including the SDK reader task it starts inside the
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# session __aenter__, but not the session itself which lives across many
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# requests. See ``_install_logging_callback_on_session`` for how we
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# bridge the contextvar into the session-scoped reader.
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_upstream_send: contextvars.ContextVar[
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Callable[[dict[str, Any]], Awaitable[None]] | None
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] = contextvars.ContextVar("_pallas_relay_upstream_send", default=None)
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# Per-request max relay depth (overrides DEFAULT_MAX_RELAY_DEPTH).
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_max_relay_depth: contextvars.ContextVar[int | None] = contextvars.ContextVar(
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"_pallas_relay_max_depth", default=None
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)
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def set_upstream_send_for_request(
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send: Callable[[dict[str, Any]], Awaitable[None]] | None,
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*,
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max_depth: int | None = None,
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):
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"""Bind the relay's upstream-send for the current request task.
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Returns a ``(send_token, depth_token)`` pair that callers should pass
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to ``contextvars.ContextVar.reset`` when the request scope ends. Use
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via the ``relay_upstream_scope`` context manager below for the common
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enter-tool / restore-on-exit pattern.
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"""
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send_token = _upstream_send.set(send)
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depth_token = _max_relay_depth.set(max_depth)
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return send_token, depth_token
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class relay_upstream_scope:
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"""Context manager binding the relay's upstream-send for one request.
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Use inside the per-request ``send_message`` body so the contextvar
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is set on entry and restored on exit even if the tool call raises::
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with relay_upstream_scope(send=ctx_send, max_depth=3):
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await agent.send(payload, request_params=request_params)
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Equivalent to a ``try/finally`` around ``set_upstream_send_for_request``.
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"""
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def __init__(
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self,
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*,
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send: Callable[[dict[str, Any]], Awaitable[None]] | None,
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max_depth: int | None = None,
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) -> None:
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self._send = send
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self._max_depth = max_depth
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self._tokens: tuple[Any, Any] | None = None
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def __enter__(self) -> "relay_upstream_scope":
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self._tokens = set_upstream_send_for_request(
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self._send, max_depth=self._max_depth
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)
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return self
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def __exit__(self, exc_type, exc_val, exc_tb) -> None:
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if self._tokens is not None:
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send_token, depth_token = self._tokens
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_upstream_send.reset(send_token)
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_max_relay_depth.reset(depth_token)
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self._tokens = None
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def _resolve_upstream_send():
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return _upstream_send.get()
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def _resolve_max_relay_depth() -> int:
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override = _max_relay_depth.get()
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if isinstance(override, int) and override > 0:
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return override
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return _relay.DEFAULT_MAX_RELAY_DEPTH
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# ── send_request traceback capture ───────────────────────────────────────────
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@@ -160,14 +277,200 @@ def _patch_execute_on_server() -> None:
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logger.info("aggregator._execute_on_server traceback-capture patch installed")
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# ── Sub-agent activity relay: session factory + call_tool wrappers ───────────
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#
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# We hook two surfaces:
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#
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# * ``_create_session_factory`` (returns a closure that builds peer
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# ``MCPAgentClientSession`` instances). We post-process each session
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# right after construction to install our ``logging_callback``. At
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# construction time we do NOT yet know the per-request upstream-send
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# callable — that's only set inside ``send_message`` — so the callback
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# reads it from the contextvar each time a notification arrives.
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# * ``MCPAggregator.call_tool`` (called by fast-agent's tool runner with
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# ``tool_use_id`` and the namespaced tool name). We split the server
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# prefix off the tool name, look up the live session for that server,
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# and push ``(tool_use_id, server_name)`` onto the session's in-flight
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# stack so chunks arriving on the SDK reader task can be attributed.
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#
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# Both wrappers are idempotent (same ``_pallas_relay_patched`` attribute
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# guard pattern) so ``install()`` is safe to call multiple times.
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_original_create_session_factory = _magg.MCPAggregator._create_session_factory
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def _create_session_factory_with_relay(self, server_name: str):
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inner_factory = _original_create_session_factory(self, server_name)
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def factory(read_stream, write_stream, read_timeout, **kwargs):
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session = inner_factory(read_stream, write_stream, read_timeout, **kwargs)
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try:
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_install_logging_callback_on_session(session)
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except Exception:
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_relay_logger.warning(
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"subagent_relay_install_callback_failed server=%s",
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server_name,
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exc_info=True,
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)
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return session
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return factory
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def _install_logging_callback_on_session(session: Any) -> None:
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"""Attach the relay's ``logging_callback`` to a freshly built peer session.
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fast-agent doesn't pass a ``logging_callback`` when constructing
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sessions, so the SDK's ``ClientSession`` falls back to the default
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no-op handler that drops every ``notifications/message``. We swap
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that for one that filters on Pallas's ``assistant_stream`` logger
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and re-emits matching chunks upstream — but only when an upstream
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binding is active (i.e. inside a ``send_message`` request scope).
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"""
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async def _upstream_send(payload: dict[str, Any]) -> None:
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upstream = _resolve_upstream_send()
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if upstream is None:
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# No active request — drop. This is the steady-state when
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# peer sessions are pinged by fast-agent's connection
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# manager outside any user tool call.
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return
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await upstream(payload)
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callback = _relay.make_logging_callback(
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upstream_send=_upstream_send,
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session=session,
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max_depth=_resolve_max_relay_depth(),
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)
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# The SDK's ``ClientSession`` exposes the logging callback through a
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# ``_logging_callback`` attribute on the underlying session object.
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# Set both that attribute and (defensively) any public alias the
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# session may expose, so future SDK changes that move the slot don't
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# silently disable the relay.
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setattr(session, "_logging_callback", callback)
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def _patch_create_session_factory() -> None:
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if getattr(
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_magg.MCPAggregator._create_session_factory,
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"_pallas_relay_patched",
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False,
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):
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return
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_create_session_factory_with_relay._pallas_relay_patched = True # type: ignore[attr-defined]
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_magg.MCPAggregator._create_session_factory = _create_session_factory_with_relay # type: ignore[assignment]
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logger.info("aggregator._create_session_factory subagent-relay patch installed")
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_original_aggregator_call_tool = _magg.MCPAggregator.call_tool
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async def _aggregator_call_tool_with_relay(self, *args, **kwargs):
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"""Push/pop the relay's in-flight entry around each peer tool call.
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We extract the tool name (``args[0]`` or ``kwargs['name']``) and the
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LLM's ``tool_use_id`` if present. When we can identify a peer
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server prefix on the tool name, we look up the active session for
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that server in the persistent connection manager and push the
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in-flight entry there. Without a session lookup hit (e.g. the
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server uses bare tool names, or the connection isn't tracked yet)
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we fall through to the unwrapped behaviour — losing nesting
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metadata, never affecting correctness.
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This wraps ``MCPAggregator.call_tool``, the entry point fast-agent's
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tool runner uses. Note: this is **not** the same as
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``_session.call_tool`` (the lower-level SDK call) wrapped above for
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traceback capture; the names collide in fast-agent's API.
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"""
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name = args[0] if args else kwargs.get("name")
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tool_use_id = kwargs.get("tool_use_id")
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session = _resolve_peer_session(self, name) if isinstance(name, str) else None
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pushed = False
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if session is not None and isinstance(tool_use_id, str) and tool_use_id:
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peer_name = _split_server_from_tool_name(name)
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if peer_name:
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try:
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_relay.push_inflight(session, tool_use_id, peer_name)
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pushed = True
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except Exception:
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_relay_logger.debug(
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"subagent_relay_push_failed",
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exc_info=True,
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)
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try:
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return await _original_aggregator_call_tool(self, *args, **kwargs)
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finally:
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if pushed and session is not None and isinstance(tool_use_id, str):
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try:
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_relay.pop_inflight(session, tool_use_id)
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except Exception:
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_relay_logger.debug(
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"subagent_relay_pop_failed",
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exc_info=True,
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)
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def _split_server_from_tool_name(tool_name: str) -> str | None:
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"""Return the server prefix from a ``server-tool`` namespaced name.
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fast-agent uses ``-`` as the SEP between server and tool name (see
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``fast_agent.mcp.common.SEP``). Bare tool names (no separator)
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have no peer prefix to attribute, so the relay is a no-op for them.
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"""
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if not tool_name or "-" not in tool_name:
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return None
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prefix, _ = tool_name.split("-", 1)
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return prefix or None
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def _resolve_peer_session(aggregator, tool_name: str) -> Any | None:
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"""Look up the live ``MCPAgentClientSession`` for the peer of this tool.
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fast-agent stores per-server sessions on
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``aggregator._persistent_connection_manager.running_servers``
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(see ``mcp_connection_manager.py``). We probe that path defensively
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— any miss returns ``None`` and the caller skips relay attribution.
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"""
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server_name = _split_server_from_tool_name(tool_name)
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if not server_name:
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return None
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manager = getattr(aggregator, "_persistent_connection_manager", None)
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if manager is None:
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return None
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running = getattr(manager, "running_servers", None)
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if not isinstance(running, dict):
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return None
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server_conn = running.get(server_name)
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if server_conn is None:
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return None
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# ServerConnection exposes ``session`` once initialised.
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return getattr(server_conn, "session", None)
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def _patch_aggregator_call_tool() -> None:
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if getattr(
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_magg.MCPAggregator.call_tool, "_pallas_relay_patched", False
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):
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return
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_aggregator_call_tool_with_relay._pallas_relay_patched = True # type: ignore[attr-defined]
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_magg.MCPAggregator.call_tool = _aggregator_call_tool_with_relay # type: ignore[assignment]
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logger.info("aggregator.call_tool subagent-relay patch installed")
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def install() -> None:
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"""Install all three trace-capture wrappers.
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"""Install all trace-capture and relay wrappers.
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Each ``_patch_*`` helper is individually idempotent (guarded on a
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``_pallas_trace_patched`` attribute), so ``install()`` is safe to call
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``_pallas_*_patched`` attribute), so ``install()`` is safe to call
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repeatedly — e.g. from ``pallas/__init__.py`` on import + again from
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a test harness — without stacking wrappers.
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"""
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_patch_send_request()
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_patch_session_call_tool()
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_patch_execute_on_server()
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_patch_create_session_factory()
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_patch_aggregator_call_tool()
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@@ -15,22 +15,31 @@ content blocks as opaque JSON in the ``data`` field. The transport is
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already plumbed through StreamableHTTP — the SDK delivers it to the client's
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``logging_callback`` — so no SDK changes are needed on either side.
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The hook installs onto fast-agent's ``ToolRunnerHooks.after_llm_call``,
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which runs once per LLM iteration in the tool loop. Pallas merges this hook
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with whatever hooks the agent (or fast-agent itself) already has via the
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existing ``_merge_tool_runner_hooks`` plumbing — see ``multimodal_server.py``
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``_install_assistant_stream_hook`` for the merge-and-restore wiring.
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Each chunk also carries an enriched ``tool_calls`` list so the consumer can
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show *which* tools the model decided to invoke on that iteration (with arg
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previews) and, once results arrive, attach a result preview + duration.
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The shared progress manager (``progress.py``) computes the same previews
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for the live ``notifications/progress`` ticker; we reuse those helpers.
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The hooks install onto fast-agent's ``ToolRunnerHooks`` (``after_llm_call``,
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``before_tool_call``, ``after_tool_call``). Pallas merges these with whatever
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hooks the agent (or fast-agent itself) already has — see
|
||||
``multimodal_server.py`` ``_install_assistant_stream_hook`` for the
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merge-and-restore wiring.
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"""
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from __future__ import annotations
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import logging
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import time
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from typing import Any, TYPE_CHECKING
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from fast_agent.agents.tool_runner import ToolRunnerHooks
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from fast_agent.types import PromptMessageExtended
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from mcp.types import ImageContent, TextContent
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from pallas.progress import format_args_preview, format_result_preview
|
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if TYPE_CHECKING:
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from fastmcp import Context as MCPContext
|
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|
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@@ -45,7 +54,17 @@ KIND = "assistant_chunk"
|
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|
||||
# Bumped if the on-wire payload shape changes incompatibly. Daedalus reads
|
||||
# this and ignores chunks whose schema_version it doesn't recognise.
|
||||
SCHEMA_VERSION = 1
|
||||
#
|
||||
# v1: text + bare tool-call ids/names.
|
||||
# v2: tool_calls enriched with server, arguments_preview, and (after the
|
||||
# tool runs) result_preview / duration_ms / ok. Late-arriving "tool
|
||||
# results" notifications use ``kind == "assistant_chunk_results"`` so
|
||||
# a v1 client that ignores them still gets clean v2 behaviour for the
|
||||
# primary chunk.
|
||||
SCHEMA_VERSION = 2
|
||||
|
||||
# Discriminator for the late-arriving tool-results companion notification.
|
||||
KIND_RESULTS = "assistant_chunk_results"
|
||||
|
||||
|
||||
class AssistantChunkEmitter:
|
||||
@@ -53,7 +72,9 @@ class AssistantChunkEmitter:
|
||||
|
||||
One instance per ``send_message`` MCP call. Tracks an iteration counter
|
||||
so consumers can order chunks within a single turn (and ignore stale
|
||||
ones from an aborted retry).
|
||||
ones from an aborted retry), plus the in-flight tool-call timings so
|
||||
``after_tool_call`` can attach result previews + durations to the
|
||||
iteration the consumer already received.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -67,16 +88,51 @@ class AssistantChunkEmitter:
|
||||
self._agent_name = agent_name
|
||||
self._conversation_id = conversation_id
|
||||
self._iteration = 0
|
||||
# Maps tool-call id → (iteration, start_time_perf_counter).
|
||||
# Filled in ``before_tool_call`` and consumed in ``after_tool_call``
|
||||
# so we can pair results with the iteration that produced the call.
|
||||
self._pending_tool_calls: dict[str, tuple[int, float]] = {}
|
||||
|
||||
def as_after_llm_call_hook(self):
|
||||
"""Return an async callable suitable for ``ToolRunnerHooks.after_llm_call``."""
|
||||
|
||||
async def _hook(_runner: Any, message: PromptMessageExtended) -> None:
|
||||
await self._emit(message)
|
||||
await self._emit_assistant_chunk(message)
|
||||
|
||||
return _hook
|
||||
|
||||
async def _emit(self, message: PromptMessageExtended) -> None:
|
||||
def as_before_tool_call_hook(self):
|
||||
"""Return an async callable suitable for ``ToolRunnerHooks.before_tool_call``.
|
||||
|
||||
Records the start time for each tool call in the request so
|
||||
``after_tool_call`` can report a duration alongside the result.
|
||||
"""
|
||||
|
||||
async def _hook(_runner: Any, message: PromptMessageExtended) -> None:
|
||||
now = time.perf_counter()
|
||||
for call_id in (message.tool_calls or {}).keys():
|
||||
# The iteration that *requested* these calls is whatever
|
||||
# we just emitted — the LLM call hook ran immediately
|
||||
# before this one for the same assistant turn.
|
||||
self._pending_tool_calls[call_id] = (self._iteration, now)
|
||||
|
||||
return _hook
|
||||
|
||||
def as_after_tool_call_hook(self):
|
||||
"""Return an async callable suitable for ``ToolRunnerHooks.after_tool_call``.
|
||||
|
||||
Emits a follow-up ``assistant_chunk_results`` notification for the
|
||||
iteration that originally requested these tools, carrying result
|
||||
previews + per-call durations so the consumer can enrich the
|
||||
already-rendered iteration card.
|
||||
"""
|
||||
|
||||
async def _hook(_runner: Any, message: PromptMessageExtended) -> None:
|
||||
await self._emit_tool_results(message)
|
||||
|
||||
return _hook
|
||||
|
||||
async def _emit_assistant_chunk(self, message: PromptMessageExtended) -> None:
|
||||
"""Serialize one assistant turn and ship it as a log notification.
|
||||
|
||||
Failures here must never break the agent turn — wrap everything and
|
||||
@@ -106,6 +162,66 @@ class AssistantChunkEmitter:
|
||||
if not payload["content"] and not payload["tool_calls"]:
|
||||
return
|
||||
|
||||
await self._send(payload)
|
||||
|
||||
async def _emit_tool_results(self, message: PromptMessageExtended) -> None:
|
||||
"""Ship a companion notification with result previews + durations."""
|
||||
try:
|
||||
results = message.tool_results or {}
|
||||
if not results:
|
||||
return
|
||||
now = time.perf_counter()
|
||||
entries: list[dict[str, Any]] = []
|
||||
iteration_for_results: int | None = None
|
||||
for call_id, result in results.items():
|
||||
iteration, started = self._pending_tool_calls.pop(
|
||||
call_id, (self._iteration, now)
|
||||
)
|
||||
# All results from one ``after_tool_call`` correspond to the
|
||||
# same iteration (they're the response to that iteration's
|
||||
# tool_calls), so keep the first non-None we see.
|
||||
if iteration_for_results is None:
|
||||
iteration_for_results = iteration
|
||||
duration_ms = int(round((now - started) * 1000))
|
||||
ok = not bool(getattr(result, "isError", False))
|
||||
content_blocks = list(getattr(result, "content", []) or [])
|
||||
entries.append(
|
||||
{
|
||||
"id": call_id,
|
||||
"ok": ok,
|
||||
"duration_ms": duration_ms,
|
||||
"result_preview": format_result_preview(content_blocks),
|
||||
}
|
||||
)
|
||||
|
||||
if not entries:
|
||||
return
|
||||
|
||||
payload = {
|
||||
"kind": KIND_RESULTS,
|
||||
"schema_version": SCHEMA_VERSION,
|
||||
"agent": self._agent_name,
|
||||
"conversation_id": self._conversation_id,
|
||||
# The iteration the *call* belonged to — the consumer keys
|
||||
# by this to enrich the iteration card it already drew.
|
||||
"iteration": iteration_for_results,
|
||||
"results": entries,
|
||||
}
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"assistant_stream tool-results payload build failed",
|
||||
exc_info=True,
|
||||
extra={
|
||||
"agent": self._agent_name,
|
||||
"conversation_id": self._conversation_id,
|
||||
"iteration": self._iteration,
|
||||
},
|
||||
)
|
||||
return
|
||||
|
||||
await self._send(payload)
|
||||
|
||||
async def _send(self, payload: dict[str, Any]) -> None:
|
||||
try:
|
||||
session = self._ctx.session
|
||||
related_request_id = getattr(self._ctx, "request_id", None)
|
||||
@@ -123,6 +239,7 @@ class AssistantChunkEmitter:
|
||||
"agent": self._agent_name,
|
||||
"conversation_id": self._conversation_id,
|
||||
"iteration": self._iteration,
|
||||
"kind": payload.get("kind"),
|
||||
},
|
||||
)
|
||||
|
||||
@@ -149,10 +266,15 @@ class AssistantChunkEmitter:
|
||||
tool_calls: list[dict[str, Any]] = []
|
||||
for call_id, call in (message.tool_calls or {}).items():
|
||||
params = getattr(call, "params", None)
|
||||
name = getattr(params, "name", None)
|
||||
arguments = getattr(params, "arguments", None)
|
||||
server = _split_server(name)
|
||||
tool_calls.append(
|
||||
{
|
||||
"id": call_id,
|
||||
"name": getattr(params, "name", None),
|
||||
"name": name,
|
||||
"server": server,
|
||||
"arguments_preview": format_args_preview(arguments),
|
||||
}
|
||||
)
|
||||
|
||||
@@ -176,6 +298,19 @@ class AssistantChunkEmitter:
|
||||
}
|
||||
|
||||
|
||||
def _split_server(name: str | None) -> str | None:
|
||||
"""Extract the server prefix from a fast-agent tool name.
|
||||
|
||||
Fast-agent namespaces aggregator tools as ``server-tool`` (e.g.
|
||||
``argos-search_web``). Single-server agents may use a bare name.
|
||||
Returns the prefix when present, else ``None``.
|
||||
"""
|
||||
if not name or "-" not in name:
|
||||
return None
|
||||
prefix, _ = name.split("-", 1)
|
||||
return prefix or None
|
||||
|
||||
|
||||
def install_for_request(
|
||||
agent: Any,
|
||||
*,
|
||||
@@ -183,7 +318,7 @@ def install_for_request(
|
||||
agent_name: str,
|
||||
conversation_id: str | None,
|
||||
):
|
||||
"""Install the assistant-stream hook on a request-scoped agent instance.
|
||||
"""Install the assistant-stream hooks on a request-scoped agent instance.
|
||||
|
||||
Returns a no-arg callable that restores the agent's previous
|
||||
``tool_runner_hooks`` — call it in a ``finally`` so per-request hooks
|
||||
@@ -197,10 +332,14 @@ def install_for_request(
|
||||
ctx, agent_name=agent_name, conversation_id=conversation_id
|
||||
)
|
||||
|
||||
extra = ToolRunnerHooks(after_llm_call=emitter.as_after_llm_call_hook())
|
||||
extra = ToolRunnerHooks(
|
||||
after_llm_call=emitter.as_after_llm_call_hook(),
|
||||
before_tool_call=emitter.as_before_tool_call_hook(),
|
||||
after_tool_call=emitter.as_after_tool_call_hook(),
|
||||
)
|
||||
|
||||
previous = getattr(agent, "tool_runner_hooks", None)
|
||||
merged = _merge_after_llm_call(previous, extra)
|
||||
merged = _merge_hooks(previous, extra)
|
||||
agent.tool_runner_hooks = merged
|
||||
|
||||
def restore() -> None:
|
||||
@@ -209,38 +348,38 @@ def install_for_request(
|
||||
return restore
|
||||
|
||||
|
||||
def _merge_after_llm_call(
|
||||
def _merge_hooks(
|
||||
base: ToolRunnerHooks | None, extra: ToolRunnerHooks
|
||||
) -> ToolRunnerHooks:
|
||||
"""Compose ``extra.after_llm_call`` after ``base.after_llm_call``.
|
||||
"""Compose ``extra``'s hooks after each matching ``base`` hook.
|
||||
|
||||
Mirrors fast-agent's own ``ToolAgent._merge_tool_runner_hooks`` (private)
|
||||
so we don't depend on its signature. Only the ``after_llm_call`` slot
|
||||
actually gets composed here — the others are passed through unchanged
|
||||
from ``base`` since ``extra`` only ever sets ``after_llm_call``.
|
||||
so we don't depend on its signature. Each slot composes independently;
|
||||
when ``base`` is ``None`` the ``extra`` hook is used directly.
|
||||
"""
|
||||
if base is None:
|
||||
return extra
|
||||
|
||||
base_hook = base.after_llm_call
|
||||
extra_hook = extra.after_llm_call
|
||||
|
||||
if base_hook is None:
|
||||
merged_after = extra_hook
|
||||
elif extra_hook is None: # pragma: no cover - extra always sets it
|
||||
merged_after = base_hook
|
||||
else:
|
||||
|
||||
async def merged(runner: Any, message: PromptMessageExtended) -> None:
|
||||
await base_hook(runner, message)
|
||||
await extra_hook(runner, message)
|
||||
|
||||
merged_after = merged
|
||||
|
||||
return ToolRunnerHooks(
|
||||
before_llm_call=base.before_llm_call,
|
||||
after_llm_call=merged_after,
|
||||
before_tool_call=base.before_tool_call,
|
||||
after_tool_call=base.after_tool_call,
|
||||
after_turn_complete=base.after_turn_complete,
|
||||
before_llm_call=_compose(base.before_llm_call, extra.before_llm_call),
|
||||
after_llm_call=_compose(base.after_llm_call, extra.after_llm_call),
|
||||
before_tool_call=_compose(base.before_tool_call, extra.before_tool_call),
|
||||
after_tool_call=_compose(base.after_tool_call, extra.after_tool_call),
|
||||
after_turn_complete=_compose(
|
||||
base.after_turn_complete, extra.after_turn_complete
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def _compose(base_hook, extra_hook):
|
||||
"""Return an async callable that runs ``base_hook`` then ``extra_hook``."""
|
||||
if base_hook is None:
|
||||
return extra_hook
|
||||
if extra_hook is None: # pragma: no cover - extra always sets the slots we care about
|
||||
return base_hook
|
||||
|
||||
async def merged(runner, message):
|
||||
await base_hook(runner, message)
|
||||
await extra_hook(runner, message)
|
||||
|
||||
return merged
|
||||
|
||||
213
pallas/mcp_subagent_relay.py
Normal file
213
pallas/mcp_subagent_relay.py
Normal file
@@ -0,0 +1,213 @@
|
||||
"""Sub-agent activity relay over the MCP logging channel.
|
||||
|
||||
When Alan (or any peer-orchestrator agent) calls a sub-agent like ``research``,
|
||||
that sub-agent is itself a Pallas server emitting its own ``assistant_chunk``
|
||||
notifications. Those notifications are delivered to fast-agent's
|
||||
``MCPAgentClientSession`` for the peer — and stop there: fast-agent's default
|
||||
session has no ``logging_callback``, so the only thing that ever crosses
|
||||
back up to Daedalus is the final ``CallToolResult`` text. When a sub-agent
|
||||
does substantive multi-turn reasoning, all that reasoning disappears into
|
||||
server logs.
|
||||
|
||||
This module installs a ``logging_callback`` on every peer session Pallas
|
||||
opens and re-emits the relevant notifications upstream, decorated so the
|
||||
consumer can render them as **nested iterations** under the parent
|
||||
tool-call entry.
|
||||
|
||||
Two pieces of provenance are added:
|
||||
|
||||
* ``via_agent`` — call-stack list (e.g. ``["research"]`` for chunks the
|
||||
``research`` peer emitted; ``["research", "search"]`` if research itself
|
||||
relayed deeper). The parent agent is implicit (it's whose message
|
||||
these attach to) so the list contains only relayed-through peers.
|
||||
* ``parent_call_id`` — the LLM ``tool_use_id`` (e.g. ``toolu_42``) that
|
||||
the parent's LLM emitted to invoke this peer. The Daedalus collector
|
||||
uses it to nest the relayed iterations under the matching tool_call
|
||||
entry on the parent's iteration card.
|
||||
|
||||
The schema_version is bumped to **3** when relaying. Top-level chunks
|
||||
(produced by the parent agent's own assistant_stream hooks, no
|
||||
``parent_call_id``) are unchanged at v2 — adding a new optional field on
|
||||
top-level entries doesn't change the wire shape.
|
||||
|
||||
Depth cap (``max_relay_depth``, default 3) drops chunks that would push
|
||||
``len(via_agent)`` past the cap. This guards against runaway nested-pyramid
|
||||
JSON in ``Message.iterations`` if a future agent wired up indefinite peer
|
||||
chains; today the realistic depth is 2 (Alan → research → search/knowledge).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from collections import deque
|
||||
from typing import Any, Awaitable, Callable, Deque, Tuple
|
||||
|
||||
from mcp.types import LoggingMessageNotificationParams
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Logger string Pallas tags assistant-stream notifications with.
|
||||
_ASSISTANT_STREAM_LOGGER = "pallas.assistant_stream"
|
||||
_KIND = "assistant_chunk"
|
||||
_KIND_RESULTS = "assistant_chunk_results"
|
||||
_KINDS = frozenset({_KIND, _KIND_RESULTS})
|
||||
|
||||
# Schema produced by this relay. The relay only re-emits payloads at v2+
|
||||
# (the version that carries enriched tool_calls + companion results); the
|
||||
# bump to 3 signals "may carry via_agent / parent_call_id".
|
||||
RELAY_SCHEMA_VERSION = 3
|
||||
|
||||
# Default depth cap. Override at install time via ``max_relay_depth``.
|
||||
DEFAULT_MAX_RELAY_DEPTH = 3
|
||||
|
||||
|
||||
# Per-session in-flight stack: (parent_call_id, peer_server_name).
|
||||
# Pushed when ``MCPAggregator.call_tool`` enters; popped when it exits.
|
||||
# Stored as a deque so concurrent same-server tool calls (rare — fast-agent
|
||||
# supports parallel tool execution within an iteration, see
|
||||
# ``tool_agent.py`` ``run_tools`` ``should_parallel`` branch) get attributed
|
||||
# to whichever push is currently most recent. This is a best-effort
|
||||
# attribution; the realistic concurrent shape is "different servers" not
|
||||
# "same server".
|
||||
_INFLIGHT_ATTR = "_pallas_relay_inflight"
|
||||
|
||||
|
||||
def push_inflight(session: Any, parent_call_id: str, peer_name: str) -> None:
|
||||
"""Record an in-flight peer call so the relay can tag its chunks.
|
||||
|
||||
The session is the ``MCPAgentClientSession`` instance that fast-agent's
|
||||
aggregator opened to the peer. We attach a deque lazily so this
|
||||
helper is a no-op on sessions that never receive any chunks.
|
||||
"""
|
||||
stack: Deque[Tuple[str, str]] = getattr(session, _INFLIGHT_ATTR, None)
|
||||
if stack is None:
|
||||
stack = deque()
|
||||
setattr(session, _INFLIGHT_ATTR, stack)
|
||||
stack.append((parent_call_id, peer_name))
|
||||
|
||||
|
||||
def pop_inflight(session: Any, parent_call_id: str) -> None:
|
||||
"""Remove the most-recent matching entry for this parent_call_id.
|
||||
|
||||
Match by id rather than blind ``pop()`` so out-of-order completions
|
||||
(when fast-agent runs parallel tool calls) don't strand entries.
|
||||
"""
|
||||
stack: Deque[Tuple[str, str]] | None = getattr(session, _INFLIGHT_ATTR, None)
|
||||
if not stack:
|
||||
return
|
||||
# Walk the deque from the right (newest first) to find the match.
|
||||
for i in range(len(stack) - 1, -1, -1):
|
||||
if stack[i][0] == parent_call_id:
|
||||
del stack[i]
|
||||
return
|
||||
|
||||
|
||||
def current_inflight(session: Any) -> Tuple[str, str] | None:
|
||||
"""Return ``(parent_call_id, peer_name)`` for the most-recent in-flight call.
|
||||
|
||||
Returns ``None`` when no peer call is currently in flight on this
|
||||
session — a chunk arriving in that window came from server-side
|
||||
bookkeeping (e.g. the peer's own startup chatter) that we shouldn't
|
||||
attribute to any specific parent tool_call.
|
||||
"""
|
||||
stack: Deque[Tuple[str, str]] | None = getattr(session, _INFLIGHT_ATTR, None)
|
||||
if not stack:
|
||||
return None
|
||||
return stack[-1]
|
||||
|
||||
|
||||
def make_logging_callback(
|
||||
*,
|
||||
upstream_send: Callable[[dict[str, Any]], Awaitable[None]],
|
||||
session: Any,
|
||||
max_depth: int = DEFAULT_MAX_RELAY_DEPTH,
|
||||
) -> Callable[[LoggingMessageNotificationParams], Awaitable[None]]:
|
||||
"""Build a ``logging_callback`` that relays peer assistant-stream chunks.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
upstream_send:
|
||||
Async callable that ships a payload upward via the parent's MCP
|
||||
session (typically wraps ``ctx.session.send_log_message`` from
|
||||
the parent's per-request ``MCPContext``). Failures inside it
|
||||
must not propagate — the relay logs and moves on.
|
||||
session:
|
||||
The peer ``MCPAgentClientSession`` this callback is attached to.
|
||||
Used to look up the in-flight ``(parent_call_id, peer_name)`` for
|
||||
attribution.
|
||||
max_depth:
|
||||
Hard cap on ``len(via_agent)`` before relaying. Chunks that
|
||||
would exceed it are dropped with a debug log.
|
||||
"""
|
||||
|
||||
async def _callback(params: LoggingMessageNotificationParams) -> None:
|
||||
# 1) Filter — only Pallas assistant-stream notifications get relayed;
|
||||
# every other log message routes through the existing trace
|
||||
# handlers and isn't our concern.
|
||||
if params.logger != _ASSISTANT_STREAM_LOGGER:
|
||||
return
|
||||
data = params.data
|
||||
if not isinstance(data, dict):
|
||||
return
|
||||
if data.get("kind") not in _KINDS:
|
||||
return
|
||||
schema = data.get("schema_version")
|
||||
if not isinstance(schema, int) or schema < 2:
|
||||
# v1 chunks don't carry the enriched tool_calls / results
|
||||
# shape the consumer needs to render nested iterations.
|
||||
return
|
||||
|
||||
# 2) Look up the in-flight tool call this chunk belongs to. No
|
||||
# in-flight call → drop (the chunk arrived during peer
|
||||
# bookkeeping outside any tool_call, which we can't attribute).
|
||||
inflight = current_inflight(session)
|
||||
if inflight is None:
|
||||
return
|
||||
parent_call_id, peer_name = inflight
|
||||
|
||||
# 3) Enforce the depth cap. ``via_agent`` may already exist if
|
||||
# the peer was itself relaying chunks from a deeper sub-agent.
|
||||
existing_via: list[str] = list(data.get("via_agent") or [])
|
||||
if len(existing_via) >= max_depth:
|
||||
logger.debug(
|
||||
"subagent_relay_depth_capped",
|
||||
extra={
|
||||
"depth": len(existing_via),
|
||||
"max_depth": max_depth,
|
||||
"peer": peer_name,
|
||||
"parent_call_id": parent_call_id,
|
||||
},
|
||||
)
|
||||
return
|
||||
|
||||
# 4) Decorate the payload and re-emit upstream. Mutate a shallow
|
||||
# copy so we don't change a dict the SDK might still reference.
|
||||
relayed = dict(data)
|
||||
relayed["via_agent"] = existing_via + [peer_name]
|
||||
relayed["parent_call_id"] = parent_call_id
|
||||
relayed["schema_version"] = RELAY_SCHEMA_VERSION
|
||||
|
||||
try:
|
||||
await upstream_send(relayed)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"subagent_relay_upstream_send_failed",
|
||||
exc_info=True,
|
||||
extra={
|
||||
"peer": peer_name,
|
||||
"parent_call_id": parent_call_id,
|
||||
"kind": relayed.get("kind"),
|
||||
},
|
||||
)
|
||||
|
||||
return _callback
|
||||
|
||||
|
||||
__all__ = [
|
||||
"RELAY_SCHEMA_VERSION",
|
||||
"DEFAULT_MAX_RELAY_DEPTH",
|
||||
"current_inflight",
|
||||
"make_logging_callback",
|
||||
"pop_inflight",
|
||||
"push_inflight",
|
||||
]
|
||||
@@ -294,7 +294,7 @@ async def _wait_for_agent(
|
||||
import httpx
|
||||
|
||||
port = agents[name]["port"]
|
||||
url = f"http://127.0.0.1:{port}/mcp"
|
||||
url = f"http://127.0.0.1:{port}/ready"
|
||||
deadline = asyncio.get_event_loop().time() + timeout
|
||||
while asyncio.get_event_loop().time() < deadline:
|
||||
try:
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
"""Tests for ``pallas.assistant_stream``.
|
||||
|
||||
Drives the ``after_llm_call`` hook with handcrafted ``PromptMessageExtended``
|
||||
objects and asserts the resulting MCP ``send_log_message`` payload shape.
|
||||
No fast-agent runtime is involved — the hook is a pure async function and
|
||||
the MCP context is faked.
|
||||
Drives the ``after_llm_call`` / ``before_tool_call`` / ``after_tool_call``
|
||||
hooks with handcrafted ``PromptMessageExtended`` objects and asserts the
|
||||
resulting MCP ``send_log_message`` payload shape. No fast-agent runtime is
|
||||
involved — the hooks are pure async functions and the MCP context is faked.
|
||||
|
||||
Tests use ``asyncio.run`` directly to match the convention in
|
||||
``tests/test_health.py`` and ``tests/test_mantle_shims.py`` (pallas has no
|
||||
@@ -20,12 +20,14 @@ from fast_agent.types.llm_stop_reason import LlmStopReason
|
||||
from mcp.types import (
|
||||
CallToolRequest,
|
||||
CallToolRequestParams,
|
||||
CallToolResult,
|
||||
ImageContent,
|
||||
TextContent,
|
||||
)
|
||||
|
||||
from pallas.assistant_stream import (
|
||||
KIND,
|
||||
KIND_RESULTS,
|
||||
LOGGER_NAME,
|
||||
SCHEMA_VERSION,
|
||||
AssistantChunkEmitter,
|
||||
@@ -80,13 +82,22 @@ class _FakeAgent:
|
||||
self.tool_runner_hooks: ToolRunnerHooks | None = None
|
||||
|
||||
|
||||
def _tool_call(call_id: str, name: str, arguments: dict | None = None) -> CallToolRequest:
|
||||
def _tool_call(name: str, arguments: dict | None = None) -> CallToolRequest:
|
||||
return CallToolRequest(
|
||||
method="tools/call",
|
||||
params=CallToolRequestParams(name=name, arguments=arguments or {}),
|
||||
)
|
||||
|
||||
|
||||
def _tool_result(
|
||||
text: str | None = "ok", *, is_error: bool = False
|
||||
) -> CallToolResult:
|
||||
content: list = []
|
||||
if text is not None:
|
||||
content.append(TextContent(type="text", text=text))
|
||||
return CallToolResult(content=content, isError=is_error)
|
||||
|
||||
|
||||
# ── Tests ────────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
@@ -101,7 +112,7 @@ def test_emit_text_only_iteration() -> None:
|
||||
stop_reason=LlmStopReason.END_TURN,
|
||||
)
|
||||
|
||||
_run(emitter._emit(msg))
|
||||
_run(emitter._emit_assistant_chunk(msg))
|
||||
|
||||
assert len(ctx.session.calls) == 1
|
||||
call = ctx.session.calls[0]
|
||||
@@ -120,8 +131,8 @@ def test_emit_text_only_iteration() -> None:
|
||||
assert data["tool_calls"] == []
|
||||
|
||||
|
||||
def test_emit_text_with_tool_call_iteration() -> None:
|
||||
"""An assistant turn that emits text and then calls a tool ships both."""
|
||||
def test_emit_text_with_tool_call_iteration_carries_args_preview() -> None:
|
||||
"""An iteration that requests a tool ships name, server prefix, and args preview."""
|
||||
ctx = _FakeContext()
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")
|
||||
|
||||
@@ -129,33 +140,38 @@ def test_emit_text_with_tool_call_iteration() -> None:
|
||||
role="assistant",
|
||||
content=[TextContent(type="text", text="Logging this…")],
|
||||
tool_calls={
|
||||
"toolu_1": _tool_call("toolu_1", "time__get_current_time"),
|
||||
"toolu_1": _tool_call(
|
||||
"argos-search_web",
|
||||
{"query": "ducati v2 vs v4 reliability"},
|
||||
),
|
||||
},
|
||||
stop_reason=LlmStopReason.TOOL_USE,
|
||||
)
|
||||
|
||||
_run(emitter._emit(msg))
|
||||
_run(emitter._emit_assistant_chunk(msg))
|
||||
|
||||
assert len(ctx.session.calls) == 1
|
||||
data = ctx.session.calls[0]["data"]
|
||||
assert data["stop_reason"] == "toolUse"
|
||||
assert data["content"] == [{"type": "text", "text": "Logging this…"}]
|
||||
assert data["tool_calls"] == [{"id": "toolu_1", "name": "time__get_current_time"}]
|
||||
assert data["tool_calls"] == [
|
||||
{
|
||||
"id": "toolu_1",
|
||||
"name": "argos-search_web",
|
||||
"server": "argos",
|
||||
"arguments_preview": "ducati v2 vs v4 reliability",
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
def test_emit_skips_completely_empty_iteration() -> None:
|
||||
"""A turn with no text blocks and no tool calls emits nothing.
|
||||
|
||||
Tool-call lifecycle is already covered by notifications/progress. An
|
||||
empty assistant_chunk would just be noise on the wire and a no-op
|
||||
update on the live bubble.
|
||||
"""
|
||||
"""A turn with no text blocks and no tool calls emits nothing."""
|
||||
ctx = _FakeContext()
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")
|
||||
|
||||
msg = PromptMessageExtended(role="assistant", content=[])
|
||||
|
||||
_run(emitter._emit(msg))
|
||||
_run(emitter._emit_assistant_chunk(msg))
|
||||
|
||||
assert ctx.session.calls == []
|
||||
# Iteration counter still bumps so subsequent chunks aren't mis-numbered.
|
||||
@@ -173,7 +189,7 @@ def test_emit_image_block_passes_through_with_mime_type_renamed() -> None:
|
||||
stop_reason=LlmStopReason.END_TURN,
|
||||
)
|
||||
|
||||
_run(emitter._emit(msg))
|
||||
_run(emitter._emit_assistant_chunk(msg))
|
||||
|
||||
data = ctx.session.calls[0]["data"]
|
||||
assert data["content"] == [
|
||||
@@ -188,21 +204,21 @@ def test_emit_iterations_are_numbered_in_order() -> None:
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")
|
||||
|
||||
async def drive() -> None:
|
||||
await emitter._emit(
|
||||
await emitter._emit_assistant_chunk(
|
||||
PromptMessageExtended(
|
||||
role="assistant",
|
||||
content=[TextContent(type="text", text="first")],
|
||||
stop_reason=LlmStopReason.TOOL_USE,
|
||||
)
|
||||
)
|
||||
await emitter._emit(
|
||||
await emitter._emit_assistant_chunk(
|
||||
PromptMessageExtended(
|
||||
role="assistant",
|
||||
content=[TextContent(type="text", text="second")],
|
||||
stop_reason=LlmStopReason.TOOL_USE,
|
||||
)
|
||||
)
|
||||
await emitter._emit(
|
||||
await emitter._emit_assistant_chunk(
|
||||
PromptMessageExtended(
|
||||
role="assistant",
|
||||
content=[TextContent(type="text", text="third — done")],
|
||||
@@ -232,9 +248,96 @@ def test_emit_swallows_session_failure() -> None:
|
||||
stop_reason=LlmStopReason.END_TURN,
|
||||
)
|
||||
|
||||
# Must not raise.
|
||||
_run(emitter._emit(msg))
|
||||
# And no successful calls were recorded (fail_with raised before append).
|
||||
_run(emitter._emit_assistant_chunk(msg))
|
||||
assert ctx.session.calls == []
|
||||
|
||||
|
||||
def test_emit_tool_results_pairs_call_id_with_iteration() -> None:
|
||||
"""``after_tool_call`` ships a results payload keyed to the iteration that called."""
|
||||
ctx = _FakeContext()
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="conv-1")
|
||||
|
||||
# Iteration 1: text + tool request.
|
||||
iter1 = PromptMessageExtended(
|
||||
role="assistant",
|
||||
content=[TextContent(type="text", text="Searching…")],
|
||||
tool_calls={"toolu_1": _tool_call("argos-search_web", {"query": "foo"})},
|
||||
stop_reason=LlmStopReason.TOOL_USE,
|
||||
)
|
||||
|
||||
async def drive() -> None:
|
||||
# Simulate the runner: after_llm_call → before_tool_call → after_tool_call.
|
||||
await emitter._emit_assistant_chunk(iter1)
|
||||
await emitter.as_before_tool_call_hook()(None, iter1)
|
||||
# The "user" message produced by the tool runner carries tool_results.
|
||||
tool_msg = PromptMessageExtended(
|
||||
role="user",
|
||||
content=[],
|
||||
tool_results={"toolu_1": _tool_result("12 results found")},
|
||||
)
|
||||
await emitter.as_after_tool_call_hook()(None, tool_msg)
|
||||
|
||||
_run(drive())
|
||||
|
||||
assert len(ctx.session.calls) == 2
|
||||
chunk = ctx.session.calls[0]["data"]
|
||||
results = ctx.session.calls[1]["data"]
|
||||
assert chunk["kind"] == KIND
|
||||
assert chunk["iteration"] == 1
|
||||
assert results["kind"] == KIND_RESULTS
|
||||
assert results["iteration"] == 1
|
||||
assert results["agent"] == "alan"
|
||||
assert results["conversation_id"] == "conv-1"
|
||||
assert len(results["results"]) == 1
|
||||
entry = results["results"][0]
|
||||
assert entry["id"] == "toolu_1"
|
||||
assert entry["ok"] is True
|
||||
assert entry["result_preview"] == "12 results found"
|
||||
assert isinstance(entry["duration_ms"], int)
|
||||
assert entry["duration_ms"] >= 0
|
||||
|
||||
|
||||
def test_emit_tool_results_marks_error() -> None:
|
||||
"""A failing tool call surfaces ``ok: False`` in the results entry."""
|
||||
ctx = _FakeContext()
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="c")
|
||||
|
||||
iter1 = PromptMessageExtended(
|
||||
role="assistant",
|
||||
content=[],
|
||||
tool_calls={"toolu_1": _tool_call("argos-search_web", {"query": "foo"})},
|
||||
stop_reason=LlmStopReason.TOOL_USE,
|
||||
)
|
||||
|
||||
async def drive() -> None:
|
||||
await emitter._emit_assistant_chunk(iter1)
|
||||
await emitter.as_before_tool_call_hook()(None, iter1)
|
||||
tool_msg = PromptMessageExtended(
|
||||
role="user",
|
||||
content=[],
|
||||
tool_results={
|
||||
"toolu_1": _tool_result("connection refused", is_error=True)
|
||||
},
|
||||
)
|
||||
await emitter.as_after_tool_call_hook()(None, tool_msg)
|
||||
|
||||
_run(drive())
|
||||
|
||||
# iter1 is a pure-tool turn (no text + has tool_calls) → still emits an
|
||||
# assistant_chunk because tool_calls is non-empty.
|
||||
assert len(ctx.session.calls) == 2
|
||||
results = ctx.session.calls[1]["data"]
|
||||
assert results["results"][0]["ok"] is False
|
||||
assert results["results"][0]["result_preview"] == "connection refused"
|
||||
|
||||
|
||||
def test_emit_tool_results_empty_when_no_results() -> None:
|
||||
"""An ``after_tool_call`` carrying no tool_results emits nothing."""
|
||||
ctx = _FakeContext()
|
||||
emitter = AssistantChunkEmitter(ctx, agent_name="alan", conversation_id="c")
|
||||
|
||||
msg = PromptMessageExtended(role="user", content=[], tool_results=None)
|
||||
_run(emitter.as_after_tool_call_hook()(None, msg))
|
||||
assert ctx.session.calls == []
|
||||
|
||||
|
||||
@@ -262,23 +365,22 @@ def test_install_for_request_merges_with_existing_after_llm_call() -> None:
|
||||
|
||||
_run(agent.tool_runner_hooks.after_llm_call(None, msg))
|
||||
|
||||
# Base ran, and the assistant-stream emitter shipped the chunk.
|
||||
assert seen == ["base"]
|
||||
assert len(ctx.session.calls) == 1
|
||||
assert ctx.session.calls[0]["data"]["content"] == [
|
||||
{"type": "text", "text": "hi"}
|
||||
]
|
||||
|
||||
# Other hook slots stay untouched.
|
||||
assert agent.tool_runner_hooks.before_llm_call is None
|
||||
assert agent.tool_runner_hooks.before_tool_call is None
|
||||
assert agent.tool_runner_hooks.after_tool_call is None
|
||||
assert agent.tool_runner_hooks.after_turn_complete is None
|
||||
# All four hook slots used by the emitter are now bound; the restore
|
||||
# call puts the original hooks back exactly.
|
||||
assert agent.tool_runner_hooks.before_tool_call is not None
|
||||
assert agent.tool_runner_hooks.after_tool_call is not None
|
||||
|
||||
# Restore puts the original hooks back exactly.
|
||||
restore()
|
||||
assert agent.tool_runner_hooks is not None
|
||||
assert agent.tool_runner_hooks.after_llm_call is base_after
|
||||
assert agent.tool_runner_hooks.before_tool_call is None
|
||||
assert agent.tool_runner_hooks.after_tool_call is None
|
||||
|
||||
|
||||
def test_install_for_request_with_no_existing_hooks() -> None:
|
||||
@@ -293,6 +395,8 @@ def test_install_for_request_with_no_existing_hooks() -> None:
|
||||
|
||||
assert agent.tool_runner_hooks is not None
|
||||
assert agent.tool_runner_hooks.after_llm_call is not None
|
||||
assert agent.tool_runner_hooks.before_tool_call is not None
|
||||
assert agent.tool_runner_hooks.after_tool_call is not None
|
||||
|
||||
restore()
|
||||
assert agent.tool_runner_hooks is None
|
||||
|
||||
Reference in New Issue
Block a user