Grounded chat turns now run the agent loop (app/rag/agent.py) instead
of a bare chat_stream: while the per-turn budgets last
(BOR_AGENT_LIST_CALLS / BOR_AGENT_READ_CALLS, default 1 each) the model
gets list_documents (the indexed catalog, /api/docs order) and
read_document (full text, never truncated — A7-revised contract); once
both budgets are spent the tools key is dropped from the request and
the model must answer. Rejected calls (unknown tool, unknown/missing
path, document already in context, spent budget) consume no budget.
Budgets 0/0 make exactly one tools=None request — byte-identical to
the pre-phase path (budgets-as-kill-switch). Deflected turns keep the
direct chat_stream (A8 unchanged; the LOW prompt never carries the
<tools> section).
SSE contract gains {"type":"tool","name":...,"argument":
"source/path"|null} frames ahead of the answer deltas (PLAN §4
extension, owner permission 2026-08-26); done.sources, query_log.sources
and the per-turn log line (gains tool_calls=N) report the retrieval
docs + read docs, deduped. The UI shows a "calling tool"
button/label state and one visible .tool-call line per call above the
answer; the lines persist with the chat record and re-render on
reload. chat_stream passes tools through and accumulates streaming
tool_calls deltas into ToolCallPiece (tools=None stays byte-identical).
E2E: deterministic mock tool flow ("use your tools" + <tools> marker:
list -> read first catalog line -> quoted answer) plus the story suite
(marker flow, reload re-render, plain/deflected no-tool regressions).
Docs: .env.example + README (the two tools, the budgets, the SSE tool
frame, the "calling tool" UI state).
probe: turbo tool_calls=supported 2026-08-26 (uv run python -m
scripts.llm_probe --tools — non-streaming + streaming
finish_reason=tool_calls, indexed delta.tool_calls partials)
491 lines
19 KiB
Python
491 lines
19 KiB
Python
"""Phase 37 E2E (Playwright, mock-only): agent document tools (list + read).
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Story: ``.agent/user_stories/agent-document-tools.md``
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Run in isolation (DB must be up: ``podman compose up -d db``):
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uv run pytest tests/e2e/test_agent_document_tools.py -v --no-cov
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MOCK-ONLY suite: ``E2E_REAL_LLM=1`` is not supported — the real ``turbo``
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does whatever it does with the tools, while this story's gate is the
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deterministic marker flow in ``tests/e2e/mock_llm.py`` (user message
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contains ``use your tools`` **and** the system prompt carries the
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``<tools>`` section of the HIGH prompt):
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1. request 1 (``tools`` offered, no tool results yet) → streams ONLY
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``tool_calls`` deltas calling ``list_documents`` (id ``call_0``, no
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arguments, ``finish_reason: "tool_calls"``);
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2. request 2 (a ``tool``-role catalog result in the messages) → streams a
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``tool_calls`` delta calling ``read_document`` on the FIRST catalog
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line (id ``call_1``);
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3. request 3 (no ``tools`` parameter, the read result in the messages) →
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the content answer ``Read <source/path>. <first 80 chars of the read
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document's content>`` — so the suite can assert the read document
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reached the model and landed in the answer.
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KB fixture — reproduces the TODO failure (``aws-route53.md`` references
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``example-record-file.json`` "for the exact JSON shape of
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reseelink.json" but does not include it):
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* ``Homelab/aws-route53.md`` — seeded with one chunk whose embedding is
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the mock's own bag-of-words vector (genuine token overlap: the marker
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question cosines ≈0.69 against it, well past the E2E 0.30 threshold,
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and it FTS-matches too) → the only RETRIEVABLE document, i.e. the
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grounded context;
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* ``Deployments/example-record-file.json`` — the JSON shape, indexed
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(a ``documents`` row: it is in the agent's catalog, readable, and a
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source-chip target) but seeded WITHOUT chunks. In a real
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hundreds-of-document KB the file would simply fail to rank into the
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top-2 context; with a two-document corpus every chunk would rank, so
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"not in context" is expressed as "no retrieval candidates". Its
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``(source, path)`` also sorts FIRST in the catalog
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(``Deployments`` < ``Homelab``) — which is exactly the line the mock
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parses out of the listing and reads.
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Test → story mapping (Playwright Mapping Rule):
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1. ``test_marker_question_lists_reads_and_quotes`` — the SSE carries
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``tool`` frames (list, then read, ahead of any delta), the UI shows
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the "calling tool" label while a tool runs, the bubble shows both
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tool lines, the final answer quotes the read document, and the
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source chips include the read document (viewer link).
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2. ``test_tool_lines_re_render_after_reload`` — the persisted record
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(phase 14) re-renders the tool lines.
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3. ``test_plain_grounded_question_has_no_tool_frames`` — no marker → no
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``tool`` frames, the answer renders exactly as today (regression
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inside the story file).
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4. ``test_deflected_question_has_no_tool_frames`` — the tools are
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grounded-only: a deflected turn runs none.
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"""
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from __future__ import annotations
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import hashlib
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import json
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import re
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import time
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from collections.abc import Callable
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from datetime import UTC, datetime
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from playwright.sync_api import Page, expect
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from sqlalchemy import select, text
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from sqlalchemy.orm import Session
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from app.db import SessionLocal
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from app.models import Chunk, Document, QueryLog
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from tests.e2e.mock_llm import embed_text
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# --------------------------------------------------------------------------
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# Fixture documents (deterministic, token-controlled)
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# --------------------------------------------------------------------------
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SEED_SOURCE = "Homelab"
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SEED_PATH = "aws-route53.md"
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SEED_SP = f"{SEED_SOURCE}/{SEED_PATH}"
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READ_SOURCE = "Deployments"
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READ_PATH = "example-record-file.json"
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READ_SP = f"{READ_SOURCE}/{READ_PATH}"
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#: The retrievable document: references the JSON file "for the exact JSON
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#: shape of reeselink.json" but never includes it (the TODO failure).
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#: The repeated record-file lines carry the marker question's key tokens
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#: (aws, route53, hosted, zone, reeselink, json, exact, shape) — verified
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#: ≈0.69 cosine against the mock's embeddings (E2E threshold 0.30) plus
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#: FTS hits, so the turn is solidly grounded.
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ROUTE53_CONTENT = (
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"# AWS Route 53 Notes\n\n"
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"## Record file\n\n"
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+ (
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"The aws route53 hosted zone for reeselink keeps every record in "
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"reseelink.json — the exact JSON shape of reeselink.json is "
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"documented in example-record-file.json.\n"
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)
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* 10
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+ "\n## Sync job\n\n"
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"A cron job pushes reeselink.json to the aws route53 hosted zone "
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"every fifteen minutes; the diff is applied through the route53 api.\n"
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)
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#: The referenced document: the exact JSON shape. Its FIRST line is longer
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#: than 80 chars, so the mock's first-80-chars quote is newline-free (the
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#: rendered-text assertions below match it verbatim). Pinned by the assert
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#: below.
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RECORD_FILE_CONTENT = (
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'{ "version": 3, "comment": "ReeseLink hosted zone records — the exact '
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'JSON shape of reeselink.json",\n'
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' "hosted_zone_id": "Z0RESEELINK01",\n'
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' "record_sets": [\n'
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' { "name": "www.reeselink.example", "type": "A", "ttl": 300,\n'
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' "resource_records": [ { "value": "10.0.0.20" } ] },\n'
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' { "name": "api.reeselink.example", "type": "CNAME", "ttl": 300,\n'
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' "resource_records": [ { "value": "www.reeselink.example" } ] }\n'
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" ]\n"
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"}\n"
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)
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assert "\n" not in RECORD_FILE_CONTENT[:80] # the quote must stay one line
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MARKER_QUESTION = (
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"Use your tools: what is the exact JSON shape of reeselink.json "
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"for my aws route53 hosted zone?"
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)
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PLAIN_QUESTION = (
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"How does my aws route53 sync job push reeselink.json to the "
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"hosted zone?"
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)
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DEFLECT_QUESTION = "tell me about quantum wormhole cooling"
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MOCK_ANSWER_MARKER = "Deterministic mock answer for E2E"
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DEFLECT_PHRASE = r"haven't done anything like that"
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ANSWER_PREFIX = f"Read {READ_SP}."
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ANSWER_QUOTE = RECORD_FILE_CONTENT[:80]
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READ_CHIP_HREF = f"/document.html?source={READ_SOURCE}&path={READ_PATH}&back=%2F"
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# --------------------------------------------------------------------------
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# DB seeding (TRUNCATE-then-seed, cf. test_whole_document_context.py)
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# --------------------------------------------------------------------------
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def _seed(db: Session) -> None:
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"""The two-document pair from the TODO (see the module docstring)."""
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md = Document(
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source=SEED_SOURCE,
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path=SEED_PATH,
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full_path=f"/tmp/{SEED_PATH}",
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title="AWS Route 53 Notes",
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content=ROUTE53_CONTENT,
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content_hash=hashlib.sha256(ROUTE53_CONTENT.encode()).hexdigest(),
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indexed_at=datetime.now(UTC),
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)
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db.add(md)
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db.flush()
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# One chunk carrying the mock's own embedding → genuine token overlap
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# between the marker question and this document.
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db.add(
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Chunk(
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document_id=md.id,
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position=0,
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content=ROUTE53_CONTENT,
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embedding=embed_text(ROUTE53_CONTENT),
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)
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)
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# The referenced JSON: indexed, catalogued, readable — but NO chunks,
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# so retrieval never puts it in context (the failure the tools fix).
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db.add(
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Document(
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source=READ_SOURCE,
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path=READ_PATH,
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full_path=f"/tmp/{READ_PATH}",
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title="Example Record File",
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content=RECORD_FILE_CONTENT,
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content_hash=hashlib.sha256(RECORD_FILE_CONTENT.encode()).hexdigest(),
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indexed_at=datetime.now(UTC),
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)
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)
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def _reset_db(seed: Callable[[Session], None] | None = None) -> None:
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"""Truncate the KB (plus the prompt-shaping tables), then re-seed.
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``steering_notes`` / ``kb_overview`` are truncated too, so the HIGH
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prompt is exactly ``<relevance>`` + ``<documents>`` + ``<tools>``
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regardless of leftovers from other suites — byte-stable prompts,
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byte-stable answers.
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"""
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with SessionLocal() as db:
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db.execute(
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text("TRUNCATE chunks, documents, query_log, steering_notes, kb_overview")
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)
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db.commit()
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if seed is not None:
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seed(db)
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db.commit()
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def _last_query_log() -> QueryLog:
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with SessionLocal() as db:
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rows = db.scalars(select(QueryLog)).all()
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assert len(rows) == 1, f"expected exactly one query_log row, got {len(rows)}"
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return rows[0]
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# --------------------------------------------------------------------------
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# Page helpers
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# --------------------------------------------------------------------------
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#: Records every value #send-label takes during the turn (a
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#: MutationObserver on the element), so the transient "Calling tool…"
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#: state is captured deterministically — no polling race.
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LABEL_RECORDER = """
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() => {
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if (window.__labelsInstalled) return;
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window.__labelsInstalled = true;
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window.__labels = [];
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const el = document.querySelector('#send-label');
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if (!el) return;
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const rec = (v) => {
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const l = window.__labels;
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if (!l.length || l[l.length - 1] !== v) l.push(v);
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};
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rec(el.textContent);
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new MutationObserver(() => rec(el.textContent)).observe(el, {
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childList: true,
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subtree: true,
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});
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}
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"""
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#: Captures the raw SSE ``data:`` payloads of the /api/chat stream
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#: (a response clone read in the background) — wire-level assertions for
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#: the ``tool`` frames, independent of the UI rendering.
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SSE_HOOK = """
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() => {
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if (window.__sseInstalled) return;
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window.__sseInstalled = true;
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window.__sseFrames = [];
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const origFetch = window.fetch;
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window.fetch = async function (...args) {
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const res = await origFetch.apply(this, args);
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try {
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const url = typeof args[0] === 'string' ? args[0] : args[0].url;
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if (url.includes('/api/chat')) {
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res.clone().text().then((bodyText) => {
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for (const block of bodyText.split('\\n\\n')) {
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const line = block.trim();
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if (line.startsWith('data: ')) {
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window.__sseFrames.push(line.slice(6));
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}
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}
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});
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}
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} catch (e) { /* non-clonable responses: ignored */ }
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return res;
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};
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}
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"""
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def _install_page_hooks(page: Page) -> None:
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"""Install both hooks on the loaded page (post-goto, pre-submit).
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The fetch wrapper only needs to be in place before the turn's
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``fetch("/api/chat")`` call; the label observer needs the rendered
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``#send-label``. (``add_init_script`` would not do — it binds to the
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NEXT navigation, and the story page is navigated exactly once.)
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"""
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page.evaluate(SSE_HOOK)
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page.evaluate(LABEL_RECORDER)
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def _frames(page: Page) -> list[dict]:
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"""The captured SSE frames, once the hook's background read settles.
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The hook reads ``res.clone().text()`` in a background promise that
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resolves right after the stream closes — poll briefly until the
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final ``done`` frame lands (fail loud if the hook captured nothing).
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"""
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deadline = time.monotonic() + 10.0
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while True:
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raw = page.evaluate("() => window.__sseFrames || []")
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parsed = [json.loads(line) for line in raw if line]
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if any(f.get("type") == "done" for f in parsed):
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return parsed
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if time.monotonic() > deadline:
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raise AssertionError(
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f"SSE hook captured no `done` frame (frames so far: "
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f"{len(parsed)}) — hook install failed?"
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)
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time.sleep(0.05)
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def _tool_frames(frames: list[dict]) -> list[dict]:
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return [f for f in frames if f.get("type") == "tool"]
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def _submit(page: Page, question: str) -> None:
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page.fill("#message-input", question)
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page.click("#send-btn")
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# The user bubble lands synchronously with the submit handler.
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expect(page.locator(".msg.user .bubble").last).to_contain_text(question)
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def _wait_settled(page: Page) -> None:
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"""The turn is complete: answer text in the bubble, button recovered."""
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expect(page.locator(".msg.brain .bubble").last).not_to_have_text("", timeout=30_000)
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expect(page.locator("#send-btn")).to_be_enabled(timeout=30_000)
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expect(page.locator("#send-label")).to_have_text("Send")
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# --------------------------------------------------------------------------
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# 1. The marker question: list → read → quoted answer, "calling tool" UI
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# --------------------------------------------------------------------------
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def test_marker_question_lists_reads_and_quotes(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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page.set_default_timeout(30_000)
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_reset_db(_seed)
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page.goto(app_url)
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_install_page_hooks(page)
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_submit(page, MARKER_QUESTION)
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# While a tool runs the button carries the "calling tool" label: the
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# first `tool` frame sets it and it holds until the FIRST answer
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# delta (the agent loop completes before the answer stream) — so the
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# poll issued right after the click must catch it inside that window.
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expect(page.locator("#send-label")).to_have_text("Calling tool…", timeout=20_000)
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_wait_settled(page)
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# The label transition is also recorded deterministically (no race):
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# Thinking… → Calling tool… → … → Send.
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labels = page.evaluate("() => window.__labels")
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assert "Calling tool…" in labels, labels
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assert labels.index("Calling tool…") > labels.index("Thinking…")
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# Wire level: exactly two `tool` frames — list then read — and both
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# ahead of the first `delta` frame.
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frames = _frames(page)
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assert _tool_frames(frames) == [
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{"type": "tool", "name": "list_documents", "argument": None},
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{"type": "tool", "name": "read_document", "argument": READ_SP},
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]
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first_delta = next(i for i, f in enumerate(frames) if f.get("type") == "delta")
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assert all(
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i < first_delta for i, f in enumerate(frames) if f.get("type") == "tool"
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)
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done = next(f for f in frames if f.get("type") == "done")
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assert done["deflected"] is False
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assert [(s["source"], s["path"]) for s in done["sources"]] == [
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(SEED_SOURCE, SEED_PATH),
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(READ_SOURCE, READ_PATH),
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]
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# Both tool lines, in order, above the answer.
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lines = page.locator(".msg.brain .tool-call")
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expect(lines).to_have_count(2)
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expect(lines.nth(0)).to_contain_text("Listing documents")
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expect(lines.nth(1)).to_contain_text("Reading ")
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expect(lines.nth(1)).to_contain_text(READ_SP)
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# The final answer quotes the read document (the mock's deterministic
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# quote: "Read <source/path>. <first 80 chars of its content>").
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bubble = page.locator(".msg.brain .bubble").last
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expect(bubble).to_contain_text(ANSWER_PREFIX)
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expect(bubble).to_contain_text(ANSWER_QUOTE)
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# Source chips: the retrieval doc AND the read doc (deduped, in
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# order) — the read chip links to the viewer.
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chips = page.locator(".msg.brain .source-chip")
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expect(chips).to_have_count(2)
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expect(chips.nth(0)).to_contain_text(SEED_SP)
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chip_read = page.locator(".msg.brain .source-chip", has_text=READ_PATH)
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expect(chip_read).to_have_count(1)
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expect(chip_read.first).to_have_attribute("href", READ_CHIP_HREF)
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# Durable record: grounded, both sources logged (retrieval + read).
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row = _last_query_log()
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assert row.question == MARKER_QUESTION
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assert row.deflected is False
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assert row.sources == f"{SEED_SP}, {READ_SP}"
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# --------------------------------------------------------------------------
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# 2. Persistence: the tool lines re-render after a reload (phase 14)
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# --------------------------------------------------------------------------
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def test_tool_lines_re_render_after_reload(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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page.set_default_timeout(30_000)
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_reset_db(_seed)
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page.goto(app_url)
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_submit(page, MARKER_QUESTION)
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_wait_settled(page)
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expect(page.locator(".msg.brain .tool-call")).to_have_count(2)
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page.reload()
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expect(page.locator("#empty-state")).to_be_hidden()
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# The persisted record re-renders BOTH tool lines, in saved order,
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# through the same append helper as the live frames.
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restored = page.locator(".msg.brain .tool-call")
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expect(restored).to_have_count(2)
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expect(restored.nth(0)).to_contain_text("Listing documents")
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expect(restored.nth(1)).to_contain_text("Reading ")
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expect(restored.nth(1)).to_contain_text(READ_SP)
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# Answer + the read-document chip are intact (phase-14 restore path).
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|
bubble = page.locator(".msg.brain .bubble").last
|
|
expect(bubble).to_contain_text(ANSWER_PREFIX)
|
|
expect(bubble).to_contain_text(ANSWER_QUOTE)
|
|
chip_read = page.locator(".msg.brain .source-chip", has_text=READ_PATH)
|
|
expect(chip_read).to_have_count(1)
|
|
expect(chip_read.first).to_have_attribute("href", READ_CHIP_HREF)
|
|
|
|
|
|
# --------------------------------------------------------------------------
|
|
# 3. Regression: a plain grounded question (no marker) takes the
|
|
# no-tool path — the answer renders exactly as today
|
|
# --------------------------------------------------------------------------
|
|
|
|
|
|
def test_plain_grounded_question_has_no_tool_frames(
|
|
page: Page, app_url: str, mock_llm: int, db_ready: None
|
|
) -> None:
|
|
page.set_default_timeout(30_000)
|
|
_reset_db(_seed)
|
|
page.goto(app_url)
|
|
_install_page_hooks(page)
|
|
|
|
_submit(page, PLAIN_QUESTION)
|
|
_wait_settled(page)
|
|
|
|
# No tool frames on the wire, no tool lines in the UI.
|
|
assert _tool_frames(_frames(page)) == []
|
|
expect(page.locator(".tool-call")).to_have_count(0)
|
|
|
|
# The standard grounded answer, citing the retrieval doc only — the
|
|
# referenced JSON stays OUT of the sources (it was never read).
|
|
bubble = page.locator(".msg.brain .bubble").last
|
|
expect(bubble).to_contain_text(PLAIN_QUESTION)
|
|
expect(bubble).to_contain_text(MOCK_ANSWER_MARKER)
|
|
chips = page.locator(".msg.brain .source-chip")
|
|
expect(chips).to_have_count(1)
|
|
expect(chips.first).to_contain_text(SEED_SP)
|
|
|
|
row = _last_query_log()
|
|
assert row.question == PLAIN_QUESTION
|
|
assert row.deflected is False
|
|
assert row.sources == SEED_SP
|
|
|
|
|
|
# --------------------------------------------------------------------------
|
|
# 4. Grounded-only scope: a deflected turn runs no tools at all
|
|
# --------------------------------------------------------------------------
|
|
|
|
|
|
def test_deflected_question_has_no_tool_frames(
|
|
page: Page, app_url: str, mock_llm: int, db_ready: None
|
|
) -> None:
|
|
page.set_default_timeout(30_000)
|
|
_reset_db(_seed)
|
|
page.goto(app_url)
|
|
_install_page_hooks(page)
|
|
|
|
_submit(page, DEFLECT_QUESTION)
|
|
_wait_settled(page)
|
|
|
|
# The honesty gate fired — and no tool frames / tool lines came with
|
|
# it (the LOW prompt never carries the tools).
|
|
last = page.locator(".msg.brain").last
|
|
expect(last).to_have_class(re.compile(r"is-deflected"))
|
|
expect(last.locator(".bubble")).to_contain_text(
|
|
re.compile(DEFLECT_PHRASE, re.IGNORECASE)
|
|
)
|
|
assert _tool_frames(_frames(page)) == []
|
|
expect(page.locator(".tool-call")).to_have_count(0)
|
|
|
|
row = _last_query_log()
|
|
assert row.question == DEFLECT_QUESTION
|
|
assert row.deflected is True
|