feat: multi-entity prompt assembly with guest activity, edges, group node

This commit is contained in:
Joseph Doherty
2026-04-26 16:07:15 -04:00
parent a90647dddb
commit fcb111310a
2 changed files with 366 additions and 35 deletions
+241
View File
@@ -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