merge: T45 per-POV summaries on close for each present witness

chat/services/prompt.py

@@ -37,6 +37,7 @@ import tiktoken
 from chat.llm.client import Message
 from chat.state.edges import get_edge, list_edges_for
 from chat.state.entities import get_bot, get_you
+from chat.state.group_node import get_group_node
 from chat.state.memory import search_memories
 from chat.state.world import (
     active_scene,
@@ -206,6 +207,26 @@ def _build_previous_scene_block(pov_summary: str | None) -> str | None:
     return "PREVIOUS SCENE SUMMARY:\n" + pov_summary
 
 
+def _build_group_node_block(group_node: dict | None) -> str | None:
+    """Render the group-node summary + dynamic as a SHOULD-tier block.
+
+    Used only in 3-entity scenes (you + host + guest). Returns None when
+    the row is missing or both summary and dynamic are empty.
+    """
+    if not group_node:
+        return None
+    summary = (group_node.get("summary") or "").strip()
+    dynamic = (group_node.get("dynamic") or "").strip()
+    if not summary and not dynamic:
+        return None
+    lines = ["Group dynamic:"]
+    if summary:
+        lines.append(f"- Summary: {summary}")
+    if dynamic:
+        lines.append(f"- Dynamic: {dynamic}")
+    return "\n".join(lines)
+
+
 def _closing_instruction(speaker_name: str, addressee_name: str) -> str:
     return (
         f"Continue the scene as {speaker_name}, in their voice, responding "
@@ -287,6 +308,7 @@ def assemble_narrative_prompt(
     budget_soft: int = 6000,
     budget_hard: int = 8000,
     encoding_name: str = "cl100k_base",
+    guest_id: str | None = None,
 ) -> list[Message]:
     """Assemble the narrative prompt for ``speaker_bot_id`` to respond.
 
@@ -313,6 +335,15 @@ def assemble_narrative_prompt(
     if chat is None:
         raise ValueError(f"chat_id {chat_id!r} not found")
 
+    # Auto-detect guest from chat state when caller didn't pass one.
+    # Phase 1 chats have ``guest_bot_id is None``; the auto-detect is a
+    # no-op there and the function behaves exactly as before.
+    if guest_id is None:
+        guest_id = chat.get("guest_bot_id")
+    # A speaker addressing themself as guest doesn't add a third party.
+    if guest_id is not None and guest_id == speaker_bot_id:
+        guest_id = None
+
     you = get_you(conn)
     addressee_id, addressee_name = _resolve_addressee(conn, addressee, you)
 
@@ -325,9 +356,10 @@ def assemble_narrative_prompt(
         addressee_name,
     )
 
-    # Activity for present entities. Phase 1: you + speaker bot. (When a
-    # guest is added in Phase 1+, callers that know about it can pass
-    # extra activities via a future hook; for now we keep it strict.)
+    # Activity for present entities. Core (MUST): you + speaker bot.
+    # Phase 2 (SHOULD-tier): when a third party (guest) is present in
+    # the chat, append their activity in a separate block so it can be
+    # trimmed independently under tight budget.
     activities: list[dict] = []
     you_act = get_activity(conn, "you")
     if you_act is not None:
@@ -341,6 +373,34 @@ def assemble_narrative_prompt(
         activities.append(bot_act)
     activity_block = _build_activity_block(activities)
 
+    # SHOULD-tier guest activity extension (Phase 2 / Task 43).
+    guest_activity_block: str | None = None
+    if guest_id is not None:
+        guest_act = get_activity(conn, guest_id)
+        if guest_act is not None:
+            guest_act = dict(guest_act)
+            guest_bot = get_bot(conn, guest_id)
+            guest_act["_display_name"] = (
+                guest_bot["name"] if guest_bot else guest_id
+            )
+            guest_activity_block = _build_activity_block([guest_act])
+
+    # SHOULD-tier group-node block (Phase 2 / Task 43): rendered only
+    # when the group_node row is present AND it covers all three of
+    # you + host + guest (per the Task 43 spec).
+    group_node_block: str | None = None
+    if guest_id is not None:
+        gn = get_group_node(conn, chat_id)
+        if gn is not None:
+            members = set(gn.get("members") or [])
+            host_id = chat.get("host_bot_id")
+            required = {"you"}
+            if host_id is not None:
+                required.add(host_id)
+            required.add(guest_id)
+            if required.issubset(members):
+                group_node_block = _build_group_node_block(gn)
+
     container = None
     if chat.get("active_scene_id"):
         scene = get_scene(conn, chat["active_scene_id"])
@@ -421,6 +481,8 @@ def assemble_narrative_prompt(
         include_previous_scene: bool,
         include_memories_top_k: int,
         dialogue_keep: int,
+        include_guest_activity: bool = True,
+        include_group_node: bool = True,
     ) -> tuple[str, int, list[dict]]:
         # dialogue: keep the last `dialogue_keep` turns verbatim; older
         # turns become an "earlier:" placeholder line.
@@ -447,6 +509,8 @@ def assemble_narrative_prompt(
             other_edges_block if include_other_edges else None,
             scene_block,
             activity_block,
+            guest_activity_block if include_guest_activity else None,
+            group_node_block if include_group_node else None,
             prev_block,
             memories_block,
             dialogue_block,
@@ -463,12 +527,25 @@ def assemble_narrative_prompt(
     nice_memories_k = min(4, len(memory_summaries))
     include_prev = previous_scene_summary is not None
     include_other = other_edges_block is not None
+    include_guest_activity = guest_activity_block is not None
+    include_group_node = group_node_block is not None
 
-    body, total, _ = assemble(
-        include_other_edges=include_other,
-        include_previous_scene=include_prev,
-        include_memories_top_k=nice_memories_k,
-        dialogue_keep=nice_dialogue_keep,
+    def _build(*, prev: bool, mem_k: int, dlg: int, other: bool,
+               guest_act: bool, group: bool) -> tuple[str, int]:
+        body, total, _ = assemble(
+            include_other_edges=other,
+            include_previous_scene=prev,
+            include_memories_top_k=mem_k,
+            dialogue_keep=dlg,
+            include_guest_activity=guest_act,
+            include_group_node=group,
+        )
+        return body, total
+
+    body, total = _build(
+        prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+        other=include_other, guest_act=include_guest_activity,
+        group=include_group_node,
     )
 
     # If under soft, we're done.
@@ -478,34 +555,31 @@ def assemble_narrative_prompt(
     # Drop NICE in order: previous scene → memories beyond top-2 →
     # older dialogue turns (collapse to 4).
     if include_prev:
-        body, total, _ = assemble(
-            include_other_edges=include_other,
-            include_previous_scene=False,
-            include_memories_top_k=nice_memories_k,
-            dialogue_keep=nice_dialogue_keep,
-        )
         include_prev = False
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
+        )
         if total <= budget_soft:
             return _emit(body, user_turn_prose)
 
     if nice_memories_k > 2:
         nice_memories_k = 2
-        body, total, _ = assemble(
-            include_other_edges=include_other,
-            include_previous_scene=False,
-            include_memories_top_k=nice_memories_k,
-            dialogue_keep=nice_dialogue_keep,
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
         )
         if total <= budget_soft:
             return _emit(body, user_turn_prose)
 
     if nice_dialogue_keep > baseline_keep:
         nice_dialogue_keep = baseline_keep
-        body, total, _ = assemble(
-            include_other_edges=include_other,
-            include_previous_scene=False,
-            include_memories_top_k=nice_memories_k,
-            dialogue_keep=nice_dialogue_keep,
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
         )
         if total <= budget_soft:
             return _emit(body, user_turn_prose)
@@ -513,21 +587,37 @@ def assemble_narrative_prompt(
     # Drop more NICE until we're under hard: memories all the way to 0.
     while nice_memories_k > 0 and total > budget_hard:
         nice_memories_k = max(0, nice_memories_k - 1)
-        body, total, _ = assemble(
-            include_other_edges=include_other,
-            include_previous_scene=False,
-            include_memories_top_k=nice_memories_k,
-            dialogue_keep=nice_dialogue_keep,
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
+        )
+
+    # Drop SHOULD-tier blocks in order: guest activity → group node →
+    # other edges. (Guest activity goes first per Task 43 spec — it's
+    # the most expendable additive context.)
+    if include_guest_activity and total > budget_hard:
+        include_guest_activity = False
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
+        )
+
+    if include_group_node and total > budget_hard:
+        include_group_node = False
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
         )
 
-    # Drop SHOULD: other edges.
     if include_other and total > budget_hard:
         include_other = False
-        body, total, _ = assemble(
-            include_other_edges=False,
-            include_previous_scene=False,
-            include_memories_top_k=nice_memories_k,
-            dialogue_keep=nice_dialogue_keep,
+        body, total = _build(
+            prev=include_prev, mem_k=nice_memories_k, dlg=nice_dialogue_keep,
+            other=include_other, guest_act=include_guest_activity,
+            group=include_group_node,
         )
 
     if total > budget_hard:

chat/services/scene_summarize.py

@@ -156,64 +156,50 @@ def _read_recent_dialogue(
     return out
 
 
-async def apply_scene_close_summary(
+async def _summarize_and_apply_for_witness(
     conn: Connection,
     client: LLMClient,
     *,
     classifier_model: str,
     chat_id: str,
     scene_id: int,
-    host_bot_id: str,
-    timeout_s: float = 10.0,
+    bot_id: str,
+    you_name: str,
+    dialogue: list[dict],
+    timeout_s: float,
 ) -> ScenePOVSummary:
-    """Drive the per-POV summary pipeline after ``scene_closed``.
+    """Run :func:`summarize_scene` for one bot witness and apply the
+    three projected updates (memory pov_summary rewrite, edge summary
+    overwrite, edge knowledge_facts append).
 
-    Steps (Phase 1, single-bot):
-      1. Gather the closing scene's dialogue from the event_log.
-      2. Run :func:`summarize_scene` for the host bot.
-      3. Rewrite each scene-bound memory's ``pov_summary`` via
-         ``manual_edit`` (target_kind ``memory_pov_summary``), capturing
-         the prior value for §6.4 reversibility.
-      4. Update the bot->you edge summary via ``manual_edit`` with the
-         new ``edge_summary`` target_kind. v1 combines prior + new by
-         concatenation — the classifier's ``relationship_summary`` is
-         already phrased as a continuation.
-      5. Append any new knowledge_facts to the same edge via
-         ``edge_update``.
-
-    Tolerant of missing pieces: no memories -> skip step 3 silently;
-    no edge row -> skip step 4; empty knowledge_facts -> skip step 5.
-    The classifier's empty default flows through harmlessly.
+    Tolerant of missing pieces in the same way Phase 1 was: no memory
+    row -> skip the rewrite; no edge row -> skip the edge_summary write
+    (the empty-default classifier output simply yields no rewrites).
     """
-    # Local imports to keep the module-level surface tight and avoid
-    # any chance of a circular dep through chat.state.*.
     from chat.state.edges import get_edge
-    from chat.state.entities import get_bot, get_you
+    from chat.state.entities import get_bot
 
-    host_bot = get_bot(conn, host_bot_id) or {"name": host_bot_id, "persona": ""}
-    you_entity = get_you(conn) or {"name": "you", "persona": ""}
+    bot = get_bot(conn, bot_id) or {"name": bot_id, "persona": ""}
 
-    dialogue = _read_recent_dialogue(conn, chat_id)
-
-    edge_b2y = get_edge(conn, host_bot_id, "you")
+    edge_b2y = get_edge(conn, bot_id, "you")
     prior_summary = (edge_b2y or {}).get("summary", "") or ""
 
     pov = await summarize_scene(
         client,
         model=classifier_model,
-        bot_name=host_bot.get("name", host_bot_id),
-        bot_persona=host_bot.get("persona", "") or "",
-        you_name=you_entity.get("name", "you") or "you",
+        bot_name=bot.get("name", bot_id),
+        bot_persona=bot.get("persona", "") or "",
+        you_name=you_name,
         prior_edge_summary=prior_summary,
         dialogue=dialogue,
         timeout_s=timeout_s,
     )
 
-    # Update memories belonging to the closed scene for the host bot.
+    # Update memories belonging to the closed scene for this witness.
     cur = conn.execute(
         "SELECT id, pov_summary FROM memories "
         "WHERE scene_id = ? AND owner_id = ?",
-        (scene_id, host_bot_id),
+        (scene_id, bot_id),
     )
     for memory_id, prior_pov in cur.fetchall():
         if not pov.summary:
@@ -231,7 +217,7 @@ async def apply_scene_close_summary(
             },
         )
 
-    # Update the bot->you edge summary if we have an edge row and a
+    # Update this bot->you edge summary if we have an edge row and a
     # non-empty relationship_summary to merge.
     if edge_b2y is not None and pov.relationship_summary:
         new_summary = (
@@ -245,7 +231,7 @@ async def apply_scene_close_summary(
             payload={
                 "target_kind": "edge_summary",
                 "target_id": {
-                    "source_id": host_bot_id,
+                    "source_id": bot_id,
                     "target_id": "you",
                 },
                 "prior_value": prior_summary,
@@ -253,13 +239,13 @@ async def apply_scene_close_summary(
             },
         )
 
-    # Append knowledge_facts to the bot->you edge if present.
+    # Append knowledge_facts to this bot->you edge if present.
     if pov.knowledge_facts:
         append_and_apply(
             conn,
             kind="edge_update",
             payload={
-                "source_id": host_bot_id,
+                "source_id": bot_id,
                 "target_id": "you",
                 "chat_id": chat_id,
                 "knowledge_facts": list(pov.knowledge_facts),
@@ -267,3 +253,107 @@ async def apply_scene_close_summary(
         )
 
     return pov
+
+
+async def apply_scene_close_summary(
+    conn: Connection,
+    client: LLMClient,
+    *,
+    classifier_model: str,
+    chat_id: str,
+    scene_id: int,
+    host_bot_id: str,
+    timeout_s: float = 10.0,
+) -> ScenePOVSummary:
+    """Drive the per-POV summary pipeline after ``scene_closed``.
+
+    Phase 1 (single-bot) behavior — the host bot is summarized once and
+    the result drives memory + edge rewrites — is preserved exactly when
+    the chat has no guest. T45 extends this to fan out across each
+    present bot witness when a guest is also in the room:
+
+      1. Gather the closing scene's dialogue from the event_log.
+      2. For each present witness (host + guest if any), run
+         :func:`summarize_scene` once with that witness's persona and
+         their own prior ``bot -> you`` edge summary.
+      3. For each witness independently:
+         a. Rewrite each scene-bound memory's ``pov_summary`` via
+            ``manual_edit`` (target_kind ``memory_pov_summary``).
+         b. Update that witness's ``bot -> you`` edge summary via
+            ``manual_edit`` (target_kind ``edge_summary``). v2 combines
+            prior + classifier ``relationship_summary`` by simple
+            concatenation.
+         c. Append any ``knowledge_facts`` to the same edge via
+            ``edge_update``.
+      4. If a ``group_node`` row exists for this chat, append a
+         ``group_node_updated`` event whose ``summary`` is the naive
+         per-POV concat ``f"{name}: {summary}\\n\\n..."``. A true
+         LLM-merged group view is deferred to Phase 2.5; ``dynamic``
+         is left empty here for v2 (Phase 3 polishes it).
+
+    The host's :class:`ScenePOVSummary` is returned to preserve the
+    Phase 1 callers' contract.
+    """
+    # Local imports to keep the module-level surface tight and avoid
+    # any chance of a circular dep through chat.state.*.
+    from chat.state.entities import get_bot, get_you
+    from chat.state.group_node import get_group_node
+    from chat.state.world import get_chat
+
+    you_entity = get_you(conn) or {"name": "you", "persona": ""}
+    you_name = you_entity.get("name", "you") or "you"
+
+    chat = get_chat(conn, chat_id) or {}
+    guest_bot_id = chat.get("guest_bot_id")
+
+    dialogue = _read_recent_dialogue(conn, chat_id)
+
+    host_pov = await _summarize_and_apply_for_witness(
+        conn,
+        client,
+        classifier_model=classifier_model,
+        chat_id=chat_id,
+        scene_id=scene_id,
+        bot_id=host_bot_id,
+        you_name=you_name,
+        dialogue=dialogue,
+        timeout_s=timeout_s,
+    )
+
+    guest_pov: ScenePOVSummary | None = None
+    if guest_bot_id is not None:
+        guest_pov = await _summarize_and_apply_for_witness(
+            conn,
+            client,
+            classifier_model=classifier_model,
+            chat_id=chat_id,
+            scene_id=scene_id,
+            bot_id=guest_bot_id,
+            you_name=you_name,
+            dialogue=dialogue,
+            timeout_s=timeout_s,
+        )
+
+    # Group node update: naive per-POV concat for v2. Only fires when
+    # both POVs ran (i.e. the guest is present) and a group_node row
+    # exists for this chat.
+    if guest_pov is not None and get_group_node(conn, chat_id) is not None:
+        host_bot = get_bot(conn, host_bot_id) or {"name": host_bot_id}
+        guest_bot = get_bot(conn, guest_bot_id) or {"name": guest_bot_id}
+        host_name = host_bot.get("name", host_bot_id) or host_bot_id
+        guest_name = guest_bot.get("name", guest_bot_id) or guest_bot_id
+        group_summary = (
+            f"{host_name}: {host_pov.summary}\n\n"
+            f"{guest_name}: {guest_pov.summary}"
+        )
+        append_and_apply(
+            conn,
+            kind="group_node_updated",
+            payload={
+                "chat_id": chat_id,
+                "summary": group_summary,
+                "dynamic": "",
+            },
+        )
+
+    return host_pov

tests/test_per_pov_summary.py

@@ -258,3 +258,425 @@ async def test_apply_scene_close_summary_updates_memories_and_edge(tmp_path):
 
         # Knowledge fact appended via edge_update.
         assert any("deadline" in fact for fact in edge["knowledge"])
+
+
+# ---------------------------------------------------------------------------
+# T45: per-POV summaries on close for each present witness.
+# ---------------------------------------------------------------------------
+
+
+def _bot_payload(bot_id: str, name: str, persona: str = "thoughtful") -> dict:
+    return {
+        "id": bot_id,
+        "name": name,
+        "persona": persona,
+        "voice_samples": [],
+        "traits": [],
+        "backstory": "",
+        "initial_relationship_to_you": "",
+        "kickoff_prose": "",
+    }
+
+
+def _seed_single_bot_scene(conn) -> None:
+    """Seed the canonical Phase 1 single-bot scene used by the regression test."""
+    append_event(conn, kind="bot_authored", payload=_bot_payload("bot_a", "BotA"))
+    append_event(
+        conn,
+        kind="you_authored",
+        payload={"name": "Me", "pronouns": "they/them", "persona": "engineer"},
+    )
+    append_event(
+        conn,
+        kind="chat_created",
+        payload={
+            "id": "chat_bot_a",
+            "host_bot_id": "bot_a",
+            "initial_time": "2026-04-26T20:00:00+00:00",
+            "narrative_anchor": "Day 1",
+            "weather": "",
+        },
+    )
+    append_event(
+        conn,
+        kind="container_created",
+        payload={
+            "chat_id": "chat_bot_a",
+            "name": "office",
+            "type": "workplace",
+            "properties": {},
+        },
+    )
+    append_event(
+        conn,
+        kind="scene_opened",
+        payload={
+            "chat_id": "chat_bot_a",
+            "container_id": 1,
+            "started_at": "2026-04-26T20:00:00+00:00",
+            "participants": ["you", "bot_a"],
+        },
+    )
+    append_event(
+        conn,
+        kind="edge_update",
+        payload={
+            "source_id": "bot_a",
+            "target_id": "you",
+            "chat_id": "chat_bot_a",
+        },
+    )
+    append_event(
+        conn,
+        kind="memory_written",
+        payload={
+            "owner_id": "bot_a",
+            "chat_id": "chat_bot_a",
+            "scene_id": 1,
+            "pov_summary": "Original raw narrative (host)",
+            "witness_you": 1,
+            "witness_host": 1,
+            "witness_guest": 0,
+            "significance": 1,
+        },
+    )
+    append_event(
+        conn,
+        kind="user_turn",
+        payload={
+            "chat_id": "chat_bot_a",
+            "prose": "Quick chat about the deadline",
+            "segments": [],
+        },
+    )
+    append_event(
+        conn,
+        kind="assistant_turn",
+        payload={
+            "chat_id": "chat_bot_a",
+            "speaker_id": "bot_a",
+            "text": "It's going to be okay.",
+            "truncated": False,
+            "user_turn_id": 1,
+        },
+    )
+
+
+def _seed_two_bot_scene(conn, *, with_group_node: bool = False) -> None:
+    """Seed a host+guest scene with bot_a (host) and bot_b (guest), plus a
+    memory row per bot owner so each per-POV update has something to rewrite,
+    and seeded directed edges from each bot to ``you`` so each edge_summary
+    update has a row to operate on. Optionally seeds the group_node row too.
+    """
+    append_event(conn, kind="bot_authored", payload=_bot_payload("bot_a", "BotA"))
+    append_event(conn, kind="bot_authored", payload=_bot_payload("bot_b", "BotB"))
+    append_event(
+        conn,
+        kind="you_authored",
+        payload={"name": "Me", "pronouns": "they/them", "persona": "engineer"},
+    )
+    append_event(
+        conn,
+        kind="chat_created",
+        payload={
+            "id": "chat_bot_a",
+            "host_bot_id": "bot_a",
+            "guest_bot_id": "bot_b",
+            "initial_time": "2026-04-26T20:00:00+00:00",
+            "narrative_anchor": "Day 1",
+            "weather": "",
+        },
+    )
+    append_event(
+        conn,
+        kind="container_created",
+        payload={
+            "chat_id": "chat_bot_a",
+            "name": "office",
+            "type": "workplace",
+            "properties": {},
+        },
+    )
+    append_event(
+        conn,
+        kind="scene_opened",
+        payload={
+            "chat_id": "chat_bot_a",
+            "container_id": 1,
+            "started_at": "2026-04-26T20:00:00+00:00",
+            "participants": ["you", "bot_a", "bot_b"],
+        },
+    )
+    # Seed edges in both bot -> you directions so the edge_summary updates
+    # have rows to target.
+    append_event(
+        conn,
+        kind="edge_update",
+        payload={
+            "source_id": "bot_a",
+            "target_id": "you",
+            "chat_id": "chat_bot_a",
+        },
+    )
+    append_event(
+        conn,
+        kind="edge_update",
+        payload={
+            "source_id": "bot_b",
+            "target_id": "you",
+            "chat_id": "chat_bot_a",
+        },
+    )
+    # One memory per witness, scene 1.
+    append_event(
+        conn,
+        kind="memory_written",
+        payload={
+            "owner_id": "bot_a",
+            "chat_id": "chat_bot_a",
+            "scene_id": 1,
+            "pov_summary": "Original raw narrative (host)",
+            "witness_you": 1,
+            "witness_host": 1,
+            "witness_guest": 1,
+            "significance": 1,
+        },
+    )
+    append_event(
+        conn,
+        kind="memory_written",
+        payload={
+            "owner_id": "bot_b",
+            "chat_id": "chat_bot_a",
+            "scene_id": 1,
+            "pov_summary": "Original raw narrative (guest)",
+            "witness_you": 1,
+            "witness_host": 1,
+            "witness_guest": 1,
+            "significance": 1,
+        },
+    )
+    append_event(
+        conn,
+        kind="user_turn",
+        payload={
+            "chat_id": "chat_bot_a",
+            "prose": "Three of us in the office.",
+            "segments": [],
+        },
+    )
+    append_event(
+        conn,
+        kind="assistant_turn",
+        payload={
+            "chat_id": "chat_bot_a",
+            "speaker_id": "bot_a",
+            "text": "Glad you're both here.",
+            "truncated": False,
+            "user_turn_id": 1,
+        },
+    )
+    if with_group_node:
+        append_event(
+            conn,
+            kind="group_node_initialized",
+            payload={
+                "chat_id": "chat_bot_a",
+                "members": ["you", "bot_a", "bot_b"],
+                "summary": "",
+                "dynamic": "",
+                "threads": [],
+            },
+        )
+
+
+@pytest.mark.asyncio
+async def test_close_with_no_guest_matches_phase1(tmp_path):
+    """Regression: when guest_bot_id is None, the close summary path runs
+    summarize_scene exactly once and rewrites the host's memory + host->you
+    edge in place — same as Phase 1 behavior."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    canned = json.dumps(
+        {
+            "summary": "BotA helped you talk through the deadline anxiety.",
+            "knowledge_facts": ["Deadline next Friday."],
+            "relationship_summary": "BotA leaned in supportively.",
+        }
+    )
+    with open_db(db) as conn:
+        _seed_single_bot_scene(conn)
+        project(conn)
+
+        # canned has 2 entries to detect any over-call; the assertion below
+        # confirms only one was consumed.
+        client = MockLLMClient(canned=[canned, canned])
+        await apply_scene_close_summary(
+            conn,
+            client,
+            classifier_model="x",
+            chat_id="chat_bot_a",
+            scene_id=1,
+            host_bot_id="bot_a",
+        )
+
+        # Exactly one classifier call -> exactly one canned entry consumed,
+        # leaving the second untouched.
+        assert len(client._canned) == 1
+
+        # Host memory rewritten with the per-POV summary content.
+        new_pov = conn.execute(
+            "SELECT pov_summary FROM memories "
+            "WHERE owner_id = 'bot_a' AND scene_id = 1"
+        ).fetchone()[0]
+        assert "BotA helped" in new_pov
+
+        # host->you edge summary rewritten with the relationship_summary.
+        from chat.state.edges import get_edge
+
+        edge = get_edge(conn, "bot_a", "you")
+        assert "supportively" in edge["summary"]
+
+
+@pytest.mark.asyncio
+async def test_close_with_guest_calls_summarize_twice(tmp_path):
+    """When a guest is present, summarize_scene runs once per witness
+    (host + guest) and each bot's memory rewrite uses its own POV summary."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    host_canned = json.dumps(
+        {
+            "summary": "BotA noticed BotB warming up to you.",
+            "knowledge_facts": ["You sketched on the whiteboard."],
+            "relationship_summary": "BotA felt steady around you.",
+        }
+    )
+    guest_canned = json.dumps(
+        {
+            "summary": "BotB found the office quieter than expected.",
+            "knowledge_facts": ["You prefer black coffee."],
+            "relationship_summary": "BotB warmed up to you a little.",
+        }
+    )
+    with open_db(db) as conn:
+        _seed_two_bot_scene(conn)
+        project(conn)
+
+        client = MockLLMClient(canned=[host_canned, guest_canned])
+        await apply_scene_close_summary(
+            conn,
+            client,
+            classifier_model="x",
+            chat_id="chat_bot_a",
+            scene_id=1,
+            host_bot_id="bot_a",
+        )
+
+        # Both canned entries consumed -> classifier ran twice.
+        assert client._canned == []
+
+        # Host memory carries the host's per-POV summary; guest memory
+        # carries the guest's.
+        host_pov = conn.execute(
+            "SELECT pov_summary FROM memories "
+            "WHERE owner_id = 'bot_a' AND scene_id = 1"
+        ).fetchone()[0]
+        guest_pov = conn.execute(
+            "SELECT pov_summary FROM memories "
+            "WHERE owner_id = 'bot_b' AND scene_id = 1"
+        ).fetchone()[0]
+        assert "BotA noticed" in host_pov
+        assert "BotB found" in guest_pov
+        assert host_pov != guest_pov
+
+
+@pytest.mark.asyncio
+async def test_close_with_guest_updates_both_edges(tmp_path):
+    """Both bot->you edges receive their own relationship_summary on close."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    host_canned = json.dumps(
+        {
+            "summary": "BotA noticed BotB warming up.",
+            "knowledge_facts": [],
+            "relationship_summary": "BotA felt steady around you.",
+        }
+    )
+    guest_canned = json.dumps(
+        {
+            "summary": "BotB warmed to the office.",
+            "knowledge_facts": [],
+            "relationship_summary": "BotB warmed up to you a little.",
+        }
+    )
+    with open_db(db) as conn:
+        _seed_two_bot_scene(conn)
+        project(conn)
+
+        client = MockLLMClient(canned=[host_canned, guest_canned])
+        await apply_scene_close_summary(
+            conn,
+            client,
+            classifier_model="x",
+            chat_id="chat_bot_a",
+            scene_id=1,
+            host_bot_id="bot_a",
+        )
+
+        from chat.state.edges import get_edge
+
+        edge_h2y = get_edge(conn, "bot_a", "you")
+        edge_g2y = get_edge(conn, "bot_b", "you")
+        assert "steady" in edge_h2y["summary"]
+        assert "warmed up" in edge_g2y["summary"]
+        # Per-POV; the two edges did not collapse onto the same text.
+        assert edge_h2y["summary"] != edge_g2y["summary"]
+
+
+@pytest.mark.asyncio
+async def test_close_with_group_node_updates_group_summary(tmp_path):
+    """When a group_node row exists, scene close emits group_node_updated
+    with a non-empty summary that mentions both bots' names (v2 naive
+    concat of per-POV summaries)."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    import chat.state.group_node  # noqa: F401  -- register handlers
+
+    host_canned = json.dumps(
+        {
+            "summary": "BotA appreciated the calm.",
+            "knowledge_facts": [],
+            "relationship_summary": "BotA felt steady.",
+        }
+    )
+    guest_canned = json.dumps(
+        {
+            "summary": "BotB found the room friendly.",
+            "knowledge_facts": [],
+            "relationship_summary": "BotB warmed up.",
+        }
+    )
+    with open_db(db) as conn:
+        _seed_two_bot_scene(conn, with_group_node=True)
+        project(conn)
+
+        client = MockLLMClient(canned=[host_canned, guest_canned])
+        await apply_scene_close_summary(
+            conn,
+            client,
+            classifier_model="x",
+            chat_id="chat_bot_a",
+            scene_id=1,
+            host_bot_id="bot_a",
+        )
+
+        from chat.state.group_node import get_group_node
+
+        gn = get_group_node(conn, "chat_bot_a")
+        assert gn is not None
+        assert gn["summary"]  # non-empty
+        # Naive concat surfaces both bot names in the group summary.
+        assert "BotA" in gn["summary"]
+        assert "BotB" in gn["summary"]
+        # Phase 2 v2 keeps dynamic empty (Phase 3 polishes).
+        assert gn["dynamic"] == ""

tests/test_prompt.py

@@ -253,3 +253,244 @@ def test_must_exceeds_budget_hard_raises_value_error(tmp_path):
                 budget_soft=5,
                 budget_hard=10,
             )
+
+
+# ---------------------------------------------------------------------------
+# Task 43: multi-entity prompt assembly (guest_id support)
+# ---------------------------------------------------------------------------
+
+
+def _seed_with_guest(conn) -> None:
+    """Seed a 3-entity scene: you (Sam) + host (Aria, bot_a) + guest (Iris, bot_b).
+
+    Group node row is initialized with summary + dynamic, edges in all
+    relevant directions are seeded, and activities are recorded for all
+    three entities.
+    """
+    append_event(conn, kind="bot_authored", payload={
+        "id": "bot_a",
+        "name": "Aria",
+        "persona": "reserved coworker who notices things",
+        "voice_samples": ["I — sorry, I didn't mean to.", "Right. Of course."],
+        "traits": ["introverted", "observant"],
+        "backstory": "An archivist who joined the firm last spring.",
+        "initial_relationship_to_you": "coworker; mild crush; never voiced",
+        "kickoff_prose": "you stay late at the office",
+    })
+    append_event(conn, kind="bot_authored", payload={
+        "id": "bot_b",
+        "name": "Iris",
+        "persona": "wry transplant from the Boston office",
+        "voice_samples": ["Oh, please.", "Don't make me say it twice."],
+        "traits": ["sardonic", "loyal"],
+        "backstory": "Met Aria at a conference two years back.",
+        "initial_relationship_to_you": "stranger; curious",
+        "kickoff_prose": "",
+    })
+    append_event(conn, kind="you_authored", payload={
+        "name": "Sam",
+        "pronouns": "they/them",
+        "persona": "tired analyst",
+    })
+    append_event(conn, kind="chat_created", payload={
+        "id": "chat_bot_a",
+        "host_bot_id": "bot_a",
+        "guest_bot_id": "bot_b",
+        "initial_time": "2026-04-26T20:00:00+00:00",
+        "narrative_anchor": "Day 1 evening",
+        "weather": "clear",
+    })
+    append_event(conn, kind="container_created", payload={
+        "chat_id": "chat_bot_a",
+        "name": "office bullpen",
+        "type": "workplace",
+        "properties": {"public": False, "moving": False, "audible_range": "room"},
+    })
+    # Edges: host -> you, guest -> you, host -> guest, guest -> host.
+    append_event(conn, kind="edge_update", payload={
+        "source_id": "bot_a",
+        "target_id": "you",
+        "affinity_delta": 12,
+        "trust_delta": 5,
+        "knowledge_facts": ["they work on the same floor"],
+    })
+    append_event(conn, kind="edge_update", payload={
+        "source_id": "bot_a",
+        "target_id": "bot_b",
+        "affinity_delta": 20,
+        "trust_delta": 15,
+        "knowledge_facts": ["studied physics together"],
+    })
+    append_event(conn, kind="edge_update", payload={
+        "source_id": "bot_b",
+        "target_id": "you",
+        "affinity_delta": 4,
+        "trust_delta": 0,
+        "knowledge_facts": ["Aria's coworker"],
+    })
+    append_event(conn, kind="edge_update", payload={
+        "source_id": "bot_b",
+        "target_id": "bot_a",
+        "affinity_delta": 18,
+        "trust_delta": 12,
+        "knowledge_facts": ["former roommate"],
+    })
+    # Activity for all three entities — note distinct verbs so we can
+    # check whose activity got dropped under tight budget.
+    append_event(conn, kind="activity_change", payload={
+        "entity_id": "you",
+        "container_id": 1,
+        "posture": "sitting at your desk",
+        "action": {"verb": "finishing emails"},
+        "attention": "the screen",
+        "holding": ["coffee mug"],
+    })
+    append_event(conn, kind="activity_change", payload={
+        "entity_id": "bot_a",
+        "container_id": 1,
+        "posture": "sitting at her desk",
+        "action": {"verb": "pretending to work"},
+        "attention": "you, in glances",
+    })
+    append_event(conn, kind="activity_change", payload={
+        "entity_id": "bot_b",
+        "container_id": 1,
+        "posture": "leaning against the doorframe",
+        "action": {"verb": "smirking-distinctively"},
+        "attention": "Aria",
+    })
+    append_event(conn, kind="scene_opened", payload={
+        "chat_id": "chat_bot_a",
+        "container_id": 1,
+        "started_at": "2026-04-26T20:00:00+00:00",
+        "participants": ["you", "bot_a", "bot_b"],
+    })
+    append_event(conn, kind="group_node_initialized", payload={
+        "chat_id": "chat_bot_a",
+        "members": ["you", "bot_a", "bot_b"],
+        "summary": "Three coworkers catching up after hours UNIQUE-GROUP-SUMMARY.",
+        "dynamic": "warm-but-prickly UNIQUE-GROUP-DYNAMIC",
+    })
+    project(conn)
+
+
+def test_assemble_with_no_guest_matches_phase1(tmp_path):
+    """Regression: 2-entity scenario without guest_id behaves exactly as Phase 1."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    with open_db(db) as conn:
+        _seed_basic(conn)
+        msgs = assemble_narrative_prompt(
+            conn,
+            chat_id="chat_bot_a",
+            speaker_bot_id="bot_a",
+            recent_dialogue=[],
+            retrieved_memory_summaries=[],
+        )
+    body = msgs[0].content
+    # Phase 1 must blocks present.
+    assert "Aria" in body
+    assert "PERSONA" in body
+    assert "Sam" in body
+    assert "ACTIVITIES" in body
+    assert "62/100" in body  # speaker → addressee edge intact
+    # No guest content leaks in.
+    assert "Group dynamic" not in body
+    assert "Iris" not in body
+
+
+def test_assemble_with_guest_includes_group_node_summary(tmp_path):
+    """When guest is present (auto-detected via chat.guest_bot_id) and a
+    group_node row exists, its summary + dynamic are rendered."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    with open_db(db) as conn:
+        _seed_with_guest(conn)
+        msgs = assemble_narrative_prompt(
+            conn,
+            chat_id="chat_bot_a",
+            speaker_bot_id="bot_a",
+            recent_dialogue=[],
+            retrieved_memory_summaries=[],
+        )
+    body = msgs[0].content
+    assert "Group dynamic" in body
+    assert "UNIQUE-GROUP-SUMMARY" in body
+    assert "UNIQUE-GROUP-DYNAMIC" in body
+    # Guest activity also present (SHOULD-tier, fits at default budget).
+    assert "smirking-distinctively" in body
+    # Speaker's other edges include the host -> guest direction.
+    assert "Iris" in body
+
+
+def test_assemble_when_speaker_is_guest_orients_edges_correctly(tmp_path):
+    """When the guest is the speaker, identity is the guest, the
+    addressee edge is guest → you, and other edges include guest → host."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    with open_db(db) as conn:
+        _seed_with_guest(conn)
+        msgs = assemble_narrative_prompt(
+            conn,
+            chat_id="chat_bot_a",
+            speaker_bot_id="bot_b",  # guest as speaker
+            recent_dialogue=[],
+            retrieved_memory_summaries=[],
+        )
+    body = msgs[0].content
+    # Speaker identity is the guest's persona.
+    assert "You are Iris." in body
+    assert "wry transplant from the Boston office" in body
+    # Edge to addressee is guest → you (Sam) with the seeded values
+    # (default 50 + 4 affinity = 54).
+    assert "YOUR EDGE TO Sam" in body
+    assert "54/100" in body
+    # Other edges include guest → host (Aria) with seeded value
+    # (default 50 + 18 = 68).
+    assert "OTHER EDGES" in body
+    assert "Aria" in body
+    assert "68/100" in body
+
+
+def test_assemble_with_tight_budget_drops_guest_activity_first(tmp_path):
+    """Under tight budget MUST blocks survive but SHOULD-tier guest
+    activity is dropped first."""
+    db = tmp_path / "t.db"
+    apply_migrations(db)
+    with open_db(db) as conn:
+        _seed_with_guest(conn)
+        # Short dialogue so MUST core (speaker identity + edge + last 4
+        # turns + closing) sits comfortably under the hard budget while
+        # SHOULD-tier additions (guest activity, group node, other edges)
+        # would push over.
+        dialogue = [
+            {"speaker": "you", "text": "line-16 hi there"},
+            {"speaker": "bot_a", "text": "line-17 hey"},
+            {"speaker": "you", "text": "line-18 quiet night"},
+            {"speaker": "bot_a", "text": "line-19 indeed"},
+        ]
+        msgs = assemble_narrative_prompt(
+            conn,
+            chat_id="chat_bot_a",
+            speaker_bot_id="bot_a",
+            recent_dialogue=dialogue,
+            retrieved_memory_summaries=[],
+            # MUST core ~310 tokens; SHOULD additions (guest activity +
+            # group node + other edges) push it well over 380. budget_hard
+            # is set just above MUST core so SHOULD-tier blocks must be
+            # trimmed away.
+            budget_soft=250,
+            budget_hard=340,
+        )
+    body = msgs[0].content
+    # MUST: speaker identity, edge to addressee, last 4 dialogue turns.
+    assert "Aria" in body
+    assert "YOUR EDGE TO Sam" in body
+    for i in range(16, 20):
+        assert f"line-{i:02d}" in body
+    # Guest activity (SHOULD-tier) must be dropped under tight budget.
+    assert "smirking-distinctively" not in body
+    # Token budget honoured.
+    import tiktoken
+    enc = tiktoken.get_encoding("cl100k_base")
+    assert len(enc.encode(body)) <= 340