feat: relay sub-agent activity chunks to parent MCP context

pallas/_fastagent_patch.py

@@ -1,14 +1,18 @@
-"""fast-agent runtime patches — traceback capture on three opaque catch-sites.
+"""fast-agent runtime patches — traceback capture + sub-agent activity relay.
 
-fast-agent's transport layer catches every downstream-transport exception at
+This module wires two unrelated extensions onto fast-agent at import time:
-several nesting levels, logs only ``str(exc)`` (no ``exc_info=True``), and
+
-re-raises.  By the time the exception surfaces to the MCP tool result, the
+A. **Traceback capture** on three opaque catch-sites.
-traceback has been flattened to a bare string — the canonical symptom being
+
-``"object NoneType can't be used in 'await' expression"`` with no stack
+   fast-agent's transport layer catches every downstream-transport exception
-attached.  This module wraps three of those catch-sites so Pallas emits
+   at several nesting levels, logs only ``str(exc)`` (no ``exc_info=True``),
-``logger.exception(...)`` with the full frame before fast-agent's swallowing
+   and re-raises.  By the time the exception surfaces to the MCP tool
-``except`` runs.  Behaviour is otherwise unchanged: every wrapper re-raises
+   result, the traceback has been flattened to a bare string — the
-the exception it caught.
+   canonical symptom being ``"object NoneType can't be used in 'await'
+   expression"`` with no stack attached.  We wrap three of those
+   catch-sites so Pallas emits ``logger.exception(...)`` with the full
+   frame before fast-agent's swallowing ``except`` runs.  Behaviour is
+   otherwise unchanged: every wrapper re-raises the exception it caught.
 
    The three wrapped entry points are:
 
@@ -20,9 +24,33 @@ The three wrapped entry points are:
       the client call (server lookup, session factory, tracer span,
       ``try_execute`` harness).
 
-Any one wrapper being triggered while the other two stay silent pinpoints
+   Any one wrapper being triggered while the other two stay silent
-which frame is swallowing the exception, which is how we debug opaque
+   pinpoints which frame is swallowing the exception, which is how we
-transport failures.
+   debug opaque transport failures.
+
+B. **Sub-agent activity relay** — see ``pallas.mcp_subagent_relay``.
+
+   When Alan calls a peer agent (research/jeffrey/ann/...) the peer's
+   own ``assistant_chunk`` notifications stop at fast-agent's
+   ``MCPAgentClientSession``.  We wrap two surfaces to fix that:
+
+   1. ``MCPAggregator._create_session_factory`` — the per-server factory
+      that builds peer ``MCPAgentClientSession`` instances.  We
+      post-process the returned session by attaching our
+      ``logging_callback`` (replacing the default no-op) so peer
+      ``notifications/message`` flow through our relay filter and get
+      re-emitted on the parent's MCP context.
+   2. ``MCPAggregator.call_tool`` — the entry point fast-agent's tool
+      runner reaches when invoking a peer.  We push/pop the
+      ``(tool_use_id, server_name)`` in-flight stack on the peer session
+      so the relay callback (which runs on the SDK reader task and
+      therefore can't see contextvars) can attribute incoming chunks to
+      the right parent tool_call.
+
+   The relay's upstream-send callable is set per-request from
+   ``multimodal_server.py``'s ``register_agent_tools`` via
+   ``set_upstream_send_for_request`` — Pallas knows the parent ``ctx``
+   only inside a tool call, so the upstream binding is request-scoped.
 
 Historical note: this file used to also carry the bearer-forwarding patch
 that propagated inbound ``Authorization`` headers to opted-in downstream
@@ -35,16 +63,105 @@ server's ``headers.Authorization`` is what fast-agent sends, full stop.
 
 from __future__ import annotations
 
+import contextvars
 import logging
 import time
+from typing import Any, Awaitable, Callable
 
 from fast_agent.mcp import mcp_aggregator as _magg
 from fast_agent.mcp import mcp_agent_client_session as _macs
 
 from pallas import metrics as _pallas_metrics
+from pallas import mcp_subagent_relay as _relay
 
 logger = logging.getLogger("pallas.forward")
 _trace_logger = logging.getLogger("pallas.forward.trace")
+_relay_logger = logging.getLogger("pallas.subagent_relay")
+
+
+# Per-request upstream-send callable.  Set by ``multimodal_server.py`` for
+# the duration of one parent ``send_message`` MCP tool call so the relay's
+# ``logging_callback`` can re-emit chunks on the parent's MCP session.
+# A contextvar (rather than a plain module global) is required because
+# multiple concurrent send_message requests share the same Pallas process
+# and would otherwise cross-talk.  Async tasks fast-agent spawns inherit
+# the contextvar — including the SDK reader task it starts inside the
+# session __aenter__, but not the session itself which lives across many
+# requests.  See ``_install_logging_callback_on_session`` for how we
+# bridge the contextvar into the session-scoped reader.
+_upstream_send: contextvars.ContextVar[
+    Callable[[dict[str, Any]], Awaitable[None]] | None
+] = contextvars.ContextVar("_pallas_relay_upstream_send", default=None)
+
+# Per-request max relay depth (overrides DEFAULT_MAX_RELAY_DEPTH).
+_max_relay_depth: contextvars.ContextVar[int | None] = contextvars.ContextVar(
+    "_pallas_relay_max_depth", default=None
+)
+
+
+def set_upstream_send_for_request(
+    send: Callable[[dict[str, Any]], Awaitable[None]] | None,
+    *,
+    max_depth: int | None = None,
+):
+    """Bind the relay's upstream-send for the current request task.
+
+    Returns a ``(send_token, depth_token)`` pair that callers should pass
+    to ``contextvars.ContextVar.reset`` when the request scope ends.  Use
+    via the ``relay_upstream_scope`` context manager below for the common
+    enter-tool / restore-on-exit pattern.
+    """
+    send_token = _upstream_send.set(send)
+    depth_token = _max_relay_depth.set(max_depth)
+    return send_token, depth_token
+
+
+class relay_upstream_scope:
+    """Context manager binding the relay's upstream-send for one request.
+
+    Use inside the per-request ``send_message`` body so the contextvar
+    is set on entry and restored on exit even if the tool call raises::
+
+        with relay_upstream_scope(send=ctx_send, max_depth=3):
+            await agent.send(payload, request_params=request_params)
+
+    Equivalent to a ``try/finally`` around ``set_upstream_send_for_request``.
+    """
+
+    def __init__(
+        self,
+        *,
+        send: Callable[[dict[str, Any]], Awaitable[None]] | None,
+        max_depth: int | None = None,
+    ) -> None:
+        self._send = send
+        self._max_depth = max_depth
+        self._tokens: tuple[Any, Any] | None = None
+
+    def __enter__(self) -> "relay_upstream_scope":
+        self._tokens = set_upstream_send_for_request(
+            self._send, max_depth=self._max_depth
+        )
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
+        if self._tokens is not None:
+            send_token, depth_token = self._tokens
+            _upstream_send.reset(send_token)
+            _max_relay_depth.reset(depth_token)
+            self._tokens = None
+
+
+def _resolve_upstream_send():
+    return _upstream_send.get()
+
+
+def _resolve_max_relay_depth() -> int:
+    override = _max_relay_depth.get()
+    if isinstance(override, int) and override > 0:
+        return override
+    return _relay.DEFAULT_MAX_RELAY_DEPTH
+
 
 
 # ── send_request traceback capture ───────────────────────────────────────────
@@ -160,14 +277,200 @@ def _patch_execute_on_server() -> None:
     logger.info("aggregator._execute_on_server traceback-capture patch installed")
 
 
+# ── Sub-agent activity relay: session factory + call_tool wrappers ───────────
+#
+# We hook two surfaces:
+#
+# * ``_create_session_factory`` (returns a closure that builds peer
+#   ``MCPAgentClientSession`` instances).  We post-process each session
+#   right after construction to install our ``logging_callback``.  At
+#   construction time we do NOT yet know the per-request upstream-send
+#   callable — that's only set inside ``send_message`` — so the callback
+#   reads it from the contextvar each time a notification arrives.
+# * ``MCPAggregator.call_tool`` (called by fast-agent's tool runner with
+#   ``tool_use_id`` and the namespaced tool name).  We split the server
+#   prefix off the tool name, look up the live session for that server,
+#   and push ``(tool_use_id, server_name)`` onto the session's in-flight
+#   stack so chunks arriving on the SDK reader task can be attributed.
+#
+# Both wrappers are idempotent (same ``_pallas_relay_patched`` attribute
+# guard pattern) so ``install()`` is safe to call multiple times.
+_original_create_session_factory = _magg.MCPAggregator._create_session_factory
+
+
+def _create_session_factory_with_relay(self, server_name: str):
+    inner_factory = _original_create_session_factory(self, server_name)
+
+    def factory(read_stream, write_stream, read_timeout, **kwargs):
+        session = inner_factory(read_stream, write_stream, read_timeout, **kwargs)
+        try:
+            _install_logging_callback_on_session(session)
+        except Exception:
+            _relay_logger.warning(
+                "subagent_relay_install_callback_failed server=%s",
+                server_name,
+                exc_info=True,
+            )
+        return session
+
+    return factory
+
+
+def _install_logging_callback_on_session(session: Any) -> None:
+    """Attach the relay's ``logging_callback`` to a freshly built peer session.
+
+    fast-agent doesn't pass a ``logging_callback`` when constructing
+    sessions, so the SDK's ``ClientSession`` falls back to the default
+    no-op handler that drops every ``notifications/message``.  We swap
+    that for one that filters on Pallas's ``assistant_stream`` logger
+    and re-emits matching chunks upstream — but only when an upstream
+    binding is active (i.e. inside a ``send_message`` request scope).
+    """
+
+    async def _upstream_send(payload: dict[str, Any]) -> None:
+        upstream = _resolve_upstream_send()
+        if upstream is None:
+            # No active request — drop.  This is the steady-state when
+            # peer sessions are pinged by fast-agent's connection
+            # manager outside any user tool call.
+            return
+        await upstream(payload)
+
+    callback = _relay.make_logging_callback(
+        upstream_send=_upstream_send,
+        session=session,
+        max_depth=_resolve_max_relay_depth(),
+    )
+
+    # The SDK's ``ClientSession`` exposes the logging callback through a
+    # ``_logging_callback`` attribute on the underlying session object.
+    # Set both that attribute and (defensively) any public alias the
+    # session may expose, so future SDK changes that move the slot don't
+    # silently disable the relay.
+    setattr(session, "_logging_callback", callback)
+
+
+def _patch_create_session_factory() -> None:
+    if getattr(
+        _magg.MCPAggregator._create_session_factory,
+        "_pallas_relay_patched",
+        False,
+    ):
+        return
+    _create_session_factory_with_relay._pallas_relay_patched = True  # type: ignore[attr-defined]
+    _magg.MCPAggregator._create_session_factory = _create_session_factory_with_relay  # type: ignore[assignment]
+    logger.info("aggregator._create_session_factory subagent-relay patch installed")
+
+
+_original_aggregator_call_tool = _magg.MCPAggregator.call_tool
+
+
+async def _aggregator_call_tool_with_relay(self, *args, **kwargs):
+    """Push/pop the relay's in-flight entry around each peer tool call.
+
+    We extract the tool name (``args[0]`` or ``kwargs['name']``) and the
+    LLM's ``tool_use_id`` if present.  When we can identify a peer
+    server prefix on the tool name, we look up the active session for
+    that server in the persistent connection manager and push the
+    in-flight entry there.  Without a session lookup hit (e.g. the
+    server uses bare tool names, or the connection isn't tracked yet)
+    we fall through to the unwrapped behaviour — losing nesting
+    metadata, never affecting correctness.
+
+    This wraps ``MCPAggregator.call_tool``, the entry point fast-agent's
+    tool runner uses.  Note: this is **not** the same as
+    ``_session.call_tool`` (the lower-level SDK call) wrapped above for
+    traceback capture; the names collide in fast-agent's API.
+    """
+    name = args[0] if args else kwargs.get("name")
+    tool_use_id = kwargs.get("tool_use_id")
+
+    session = _resolve_peer_session(self, name) if isinstance(name, str) else None
+
+    pushed = False
+    if session is not None and isinstance(tool_use_id, str) and tool_use_id:
+        peer_name = _split_server_from_tool_name(name)
+        if peer_name:
+            try:
+                _relay.push_inflight(session, tool_use_id, peer_name)
+                pushed = True
+            except Exception:
+                _relay_logger.debug(
+                    "subagent_relay_push_failed",
+                    exc_info=True,
+                )
+
+    try:
+        return await _original_aggregator_call_tool(self, *args, **kwargs)
+    finally:
+        if pushed and session is not None and isinstance(tool_use_id, str):
+            try:
+                _relay.pop_inflight(session, tool_use_id)
+            except Exception:
+                _relay_logger.debug(
+                    "subagent_relay_pop_failed",
+                    exc_info=True,
+                )
+
+
+def _split_server_from_tool_name(tool_name: str) -> str | None:
+    """Return the server prefix from a ``server-tool`` namespaced name.
+
+    fast-agent uses ``-`` as the SEP between server and tool name (see
+    ``fast_agent.mcp.common.SEP``).  Bare tool names (no separator)
+    have no peer prefix to attribute, so the relay is a no-op for them.
+    """
+    if not tool_name or "-" not in tool_name:
+        return None
+    prefix, _ = tool_name.split("-", 1)
+    return prefix or None
+
+
+def _resolve_peer_session(aggregator, tool_name: str) -> Any | None:
+    """Look up the live ``MCPAgentClientSession`` for the peer of this tool.
+
+    fast-agent stores per-server sessions on
+    ``aggregator._persistent_connection_manager.running_servers``
+    (see ``mcp_connection_manager.py``).  We probe that path defensively
+    — any miss returns ``None`` and the caller skips relay attribution.
+    """
+    server_name = _split_server_from_tool_name(tool_name)
+    if not server_name:
+        return None
+    manager = getattr(aggregator, "_persistent_connection_manager", None)
+    if manager is None:
+        return None
+    running = getattr(manager, "running_servers", None)
+    if not isinstance(running, dict):
+        return None
+    server_conn = running.get(server_name)
+    if server_conn is None:
+        return None
+    # ServerConnection exposes ``session`` once initialised.
+    return getattr(server_conn, "session", None)
+
+
+def _patch_aggregator_call_tool() -> None:
+    if getattr(
+        _magg.MCPAggregator.call_tool, "_pallas_relay_patched", False
+    ):
+        return
+    _aggregator_call_tool_with_relay._pallas_relay_patched = True  # type: ignore[attr-defined]
+    _magg.MCPAggregator.call_tool = _aggregator_call_tool_with_relay  # type: ignore[assignment]
+    logger.info("aggregator.call_tool subagent-relay patch installed")
+
+
 def install() -> None:
-    """Install all three trace-capture wrappers.
+    """Install all trace-capture and relay wrappers.
 
     Each ``_patch_*`` helper is individually idempotent (guarded on a
-    ``_pallas_trace_patched`` attribute), so ``install()`` is safe to call
+    ``_pallas_*_patched`` attribute), so ``install()`` is safe to call
     repeatedly — e.g. from ``pallas/__init__.py`` on import + again from
     a test harness — without stacking wrappers.
     """
     _patch_send_request()
     _patch_session_call_tool()
     _patch_execute_on_server()
+    _patch_create_session_factory()
+    _patch_aggregator_call_tool()
+

pallas/assistant_stream.py

@@ -15,22 +15,31 @@ content blocks as opaque JSON in the ``data`` field.  The transport is
 already plumbed through StreamableHTTP — the SDK delivers it to the client's
 ``logging_callback`` — so no SDK changes are needed on either side.
 
-The hook installs onto fast-agent's ``ToolRunnerHooks.after_llm_call``,
+Each chunk also carries an enriched ``tool_calls`` list so the consumer can
-which runs once per LLM iteration in the tool loop.  Pallas merges this hook
+show *which* tools the model decided to invoke on that iteration (with arg
-with whatever hooks the agent (or fast-agent itself) already has via the
+previews) and, once results arrive, attach a result preview + duration.
-existing ``_merge_tool_runner_hooks`` plumbing — see ``multimodal_server.py``
+The shared progress manager (``progress.py``) computes the same previews
-``_install_assistant_stream_hook`` for the merge-and-restore wiring.
+for the live ``notifications/progress`` ticker; we reuse those helpers.
+
+The hooks install onto fast-agent's ``ToolRunnerHooks`` (``after_llm_call``,
+``before_tool_call``, ``after_tool_call``).  Pallas merges these with whatever
+hooks the agent (or fast-agent itself) already has — see
+``multimodal_server.py`` ``_install_assistant_stream_hook`` for the
+merge-and-restore wiring.
 """
 
 from __future__ import annotations
 
 import logging
+import time
 from typing import Any, TYPE_CHECKING
 
 from fast_agent.agents.tool_runner import ToolRunnerHooks
 from fast_agent.types import PromptMessageExtended
 from mcp.types import ImageContent, TextContent
 
+from pallas.progress import format_args_preview, format_result_preview
+
 if TYPE_CHECKING:
     from fastmcp import Context as MCPContext
 
@@ -45,7 +54,17 @@ KIND = "assistant_chunk"
 
 # 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
+    so we don't depend on its signature.  Each slot composes independently;
-    actually gets composed here — the others are passed through unchanged
+    when ``base`` is ``None`` the ``extra`` hook is used directly.
-    from ``base`` since ``extra`` only ever sets ``after_llm_call``.
     """
     if base is None:
         return extra
 
-    base_hook = base.after_llm_call
+    return ToolRunnerHooks(
-    extra_hook = extra.after_llm_call
+        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:
-        merged_after = extra_hook
+        return extra_hook
-    elif extra_hook is None:  # pragma: no cover - extra always sets it
+    if extra_hook is None:  # pragma: no cover - extra always sets the slots we care about
-        merged_after = base_hook
+        return base_hook
-    else:
 
-        async def merged(runner: Any, message: PromptMessageExtended) -> None:
+    async def merged(runner, message):
         await base_hook(runner, message)
         await extra_hook(runner, message)
 
-        merged_after = merged
+    return 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,
-    )

pallas/mcp_subagent_relay.py

@@ -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",
+]

pallas/server.py

@@ -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:

tests/test_assistant_stream.py

@@ -1,9 +1,9 @@
 """Tests for ``pallas.assistant_stream``.
 
-Drives the ``after_llm_call`` hook with handcrafted ``PromptMessageExtended``
+Drives the ``after_llm_call`` / ``before_tool_call`` / ``after_tool_call``
-objects and asserts the resulting MCP ``send_log_message`` payload shape.
+hooks with handcrafted ``PromptMessageExtended`` objects and asserts the
-No fast-agent runtime is involved — the hook is a pure async function and
+resulting MCP ``send_log_message`` payload shape.  No fast-agent runtime is
-the MCP context is faked.
+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:
+def test_emit_text_with_tool_call_iteration_carries_args_preview() -> None:
-    """An assistant turn that emits text and then calls a tool ships both."""
+    """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.
+    """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.
-    """
     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_assistant_chunk(msg))
-    _run(emitter._emit(msg))
+    assert ctx.session.calls == []
-    # And no successful calls were recorded (fail_with raised before append).
+
+
+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.
+    # All four hook slots used by the emitter are now bound; the restore
-    assert agent.tool_runner_hooks.before_llm_call is None
+    # call puts the original hooks back exactly.
-    assert agent.tool_runner_hooks.before_tool_call is None
+    assert agent.tool_runner_hooks.before_tool_call is not None
-    assert agent.tool_runner_hooks.after_tool_call is None
+    assert agent.tool_runner_hooks.after_tool_call is not None
-    assert agent.tool_runner_hooks.after_turn_complete is 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

uv.lock

@@ -1562,7 +1562,7 @@ wheels = [
 
 [[package]]
 name = "pallas-mcp"
-version = "0.2.0"
+version = "0.4.0"
 source = { editable = "." }
 dependencies = [
     { name = "fast-agent-mcp" },