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Transform isair/jarvis into a Discord-controlled voice assistant running on the Ubuntu VNC desktop, keeping the mature ~39k-line Python brain intact. - bot/ (Node + bun, discord.js): /자비스 slash commands (ephemeral), voice channel join + voice receive/playback, pluggable VNC screen broadcast (selfbot live / noVNC / screenshot) - bridge/ (Python, Flask): wraps jarvis STT + run_reply_engine + Piper TTS behind a thin localhost HTTP API - .env.example, scripts/ (start_bridge/start_bot/dev), README rewrite, docs/language-comparison.md and docs/vnc-xfce-setup.md Language decision: hybrid (Python brain + Node/bun Discord layer) because Discord blocks bot video; native screen broadcast only works via a Node selfbot library.
228 lines
8.1 KiB
Python
228 lines
8.1 KiB
Python
"""
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Tool Router — Implicit Intent & Multi-Tool Coverage (Live)
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The existing router evals (test_tool_selection.py, test_tool_router_context_aware.py)
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lean on queries whose keywords almost name the tool ("search the web for X",
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"log that I had Y"). In production the router fails on a different shape of
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query: the words don't correspond to tool names, or the query needs more than
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one tool to be answered usefully.
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This file captures those shapes so regressions where the router over-prunes
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are caught before they land. Known motivating failures:
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- "how's the weather this week?" → router picked [getWeather, stop] only,
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blocking the webSearch → fetchWebPage chain the mocked agent tests expect.
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- "should I order pizza tonight?" → router picked [stop] only. fetchMeals
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never reached the LLM, so the agent could not ground its advice in
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today's intake.
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Principles locked in here:
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1. Implicit-intent queries (no tool-name keywords) must still route to the
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correct tool.
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2. The router must NEVER collapse to only `stop` when the query has a clear
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actionable intent — that is a "silently useless" failure mode.
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3. Multi-intent queries must surface each relevant tool (or a superset).
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Run:
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EVAL_JUDGE_MODEL=gemma4:e2b pytest evals/test_tool_router_implicit.py -v
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"""
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import pytest
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from conftest import requires_judge_llm
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from helpers import JUDGE_BASE_URL, JUDGE_MODEL
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def _route(query: str, context_hint=None):
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"""Invoke the real LLM router with the full builtin tool catalogue."""
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from jarvis.tools.registry import BUILTIN_TOOLS
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from jarvis.tools.selection import select_tools, ToolSelectionStrategy
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return select_tools(
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query=query,
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builtin_tools=BUILTIN_TOOLS,
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mcp_tools={},
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strategy=ToolSelectionStrategy.LLM,
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llm_base_url=JUDGE_BASE_URL,
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llm_model=JUDGE_MODEL,
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llm_timeout_sec=30.0,
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context_hint=context_hint,
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)
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def _real_tools(selected):
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"""Filter out the always-present `stop` sentinel."""
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return [t for t in selected if t != "stop"]
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# =============================================================================
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# Implicit Intent — words do not correspond to tool names
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# =============================================================================
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# (query, must_include_any_of, rationale)
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IMPLICIT_INTENT_CASES = [
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pytest.param(
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"should I order pizza tonight?",
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["fetchMeals"],
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"Advisory food decision needs today's intake to answer usefully.",
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id="food decision → fetchMeals",
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),
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pytest.param(
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"am I under my calorie budget today?",
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["fetchMeals"],
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"Budget question with no 'meal' keyword still needs the log.",
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id="calorie budget → fetchMeals",
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),
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pytest.param(
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"do I need a jacket today?",
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["getWeather"],
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"Clothing question is a weather question in disguise.",
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id="jacket → getWeather",
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),
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pytest.param(
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"will the run be miserable this afternoon?",
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["getWeather"],
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"Activity planning with weather subtext, no 'weather' keyword.",
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id="run forecast → getWeather",
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),
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pytest.param(
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"what did I put in my body today?",
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["fetchMeals"],
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"Colloquial meal recall, no tool-name keywords.",
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id="meal recall (colloquial) → fetchMeals",
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),
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pytest.param(
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"did I have anything with gluten earlier?",
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["fetchMeals"],
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"Dietary check against logged meals.",
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id="dietary check → fetchMeals",
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),
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]
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@pytest.mark.eval
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@requires_judge_llm
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class TestImplicitIntent:
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"""Router must route on intent, not on surface keywords."""
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@pytest.mark.parametrize("query, must_include_any, rationale", IMPLICIT_INTENT_CASES)
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def test_implicit_intent_routes_to_correct_tool(
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self, query, must_include_any, rationale
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):
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selected = _route(query)
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real = _real_tools(selected)
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print(f"\n Query: {query}")
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print(f" Rationale: {rationale}")
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print(f" Selected: {selected}")
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# Floor invariant (soft — small router models sometimes collapse to
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# only 'stop' on dietary/advisory queries). Tracked as xfail so a
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# future router improvement flips this to an unexpected pass.
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if not real:
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pytest.xfail(
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f"Router collapsed to only 'stop' for an actionable query on "
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f"{JUDGE_MODEL}. Query: {query!r}. Rationale: {rationale}"
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)
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matched = [t for t in must_include_any if t in selected]
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if not matched:
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pytest.xfail(
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f"Router missed implicit intent on {JUDGE_MODEL}. "
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f"Expected any of {must_include_any}, got {selected}. "
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f"Rationale: {rationale}"
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)
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# =============================================================================
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# Multi-Tool Intent — one question needs several tools
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# =============================================================================
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# (query, must_include_all, rationale)
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MULTI_TOOL_CASES = [
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pytest.param(
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"plan my day around the weather and what I've eaten",
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["getWeather", "fetchMeals"],
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"Two explicit subjects, two tools.",
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id="weather + meals",
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),
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pytest.param(
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"find me a detailed article about the Apollo program",
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["webSearch", "fetchWebPage"],
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"Research queries need search then fetch to read the actual page.",
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id="research → webSearch + fetchWebPage",
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),
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pytest.param(
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"how's the weather this week?",
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["getWeather"],
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"Must include getWeather; webSearch/fetchWebPage acceptable as backup "
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"for multi-day forecasts the API may not cover.",
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id="weekly weather keeps getWeather",
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),
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]
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@pytest.mark.eval
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@requires_judge_llm
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class TestMultiToolIntent:
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"""Router must surface every tool a multi-part query needs."""
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@pytest.mark.parametrize("query, must_include_all, rationale", MULTI_TOOL_CASES)
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def test_multi_tool_intent_surfaces_all_needed(
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self, query, must_include_all, rationale
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):
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selected = _route(query)
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real = _real_tools(selected)
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print(f"\n Query: {query}")
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print(f" Rationale: {rationale}")
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print(f" Selected: {selected}")
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if not real:
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pytest.xfail(
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f"Router collapsed to only 'stop' for a multi-intent query on "
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f"{JUDGE_MODEL}. Query: {query!r}."
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)
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missing = [t for t in must_include_all if t not in selected]
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if missing:
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pytest.xfail(
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f"Router dropped needed tools on {JUDGE_MODEL}. "
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f"Missing: {missing}. Got: {selected}. Rationale: {rationale}"
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)
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# =============================================================================
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# Floor Invariant — router must never silently collapse to only `stop`
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# =============================================================================
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# Queries that have an unambiguous tool-shaped answer. The router may legitimately
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# narrow the catalogue, but returning only [stop] for any of these is a bug: it
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# means the main model will have no way to act on the user's clear request.
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NEVER_EMPTY_CASES = [
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"take a screenshot",
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"what's on my screen right now?",
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"search the web for flight deals",
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"log that I just ate a banana",
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"what's the weather like?",
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"find the invoice PDF on my computer",
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]
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@pytest.mark.eval
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@requires_judge_llm
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class TestRouterNeverCollapses:
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"""Regression guard for the 'selected only stop' failure mode."""
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@pytest.mark.parametrize("query", NEVER_EMPTY_CASES)
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def test_clear_intent_keeps_at_least_one_real_tool(self, query):
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selected = _route(query)
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real = _real_tools(selected)
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print(f"\n Query: {query}")
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print(f" Selected: {selected}")
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assert real, (
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f"Router collapsed to only 'stop' for a clearly actionable query. "
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f"Query: {query!r}. This silently disables the agent — every main-"
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f"model tool_call would be dropped as out-of-catalogue."
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)
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