Files
LLeMbas/tests/test_tools.py
T
Jaroslav Beneš 21001f2eb8 Knowledge, notes, memory and skills, and a harness to make them used
Four places a model can reach for, differing in who writes a record and how it
gets in front of the model.

**Knowledge** is uploaded by a person and searched by the model. It goes through
`services/files.py:prepare` — the same pipeline as a chat attachment — so the
same PDF produces the same text whichever way it arrived, and `Document` carries
the same content columns as `Attachment` for the same reason.

**Notes** are written by the model and edited by you. Too long to inject, so
they are searched.

**Memory** is short facts, and every one of them goes into every request. That
single decision is where the rest of its design comes from: records are capped
short, the block has a budget, there is no search tool because the model is
already looking at them, and they are not shareable — a record about a person is
not content to hand round.

**Skills** are saved procedures. Only the name and description are injected; the
body is fetched when the model decides one applies, which is what makes a
hundred skills affordable. A model may write and revise its own — the safety
story is not a gate but a record: every revision is kept, attributed and
revertible. A model that has just read a hostile page can save a skill that
outlives the conversation, and the honest mitigation is that it is visible and
undoable rather than that it was prevented.

**The harness** is why any of it gets used. A model handed a tools array
ignores it and answers from recall, because nothing in the request suggests
otherwise. `services/harness.py` assembles a preamble from what this chat
actually has: when to reach for each tool, the memories, the skill index.

This is an exception to "system prompts are precedence, not concatenation", and
a deliberate one. That rule governs the three *authored* layers and is
untouched — exactly one still wins. The harness is a different axis: it
describes the machinery rather than the behaviour, nobody authored it, and there
is nothing for it to disagree with. It is prepended to whichever authored prompt
won, in one system message, since several endpoints reject a second.

Supporting changes:

- **Sharing**, in one helper. `visible_to()` is the only definition of who can
  see a library item and every listing and tool goes through it. Sharing grants
  *reading*; two people editing one note with no history and no merge is worse
  than copying it. **Administrators do not bypass this** — they bypass
  permissions elsewhere because an admin can grant themselves those anyway, but
  reading somebody's private notes is a different act.
- **FTS5**, created by `db/migrations.py:ensure_fts` with the triggers an
  external-content index needs. Idempotent, like the column sync beside it.
  Terms are ANDed and then ORed: the caller is usually a model writing a whole
  question, and requiring every word loses the match on one absent term.
- **The attach button is a menu** — file, image, a web page, or a document from
  the library. Attaching a document copies it, because history must not change
  when a document is edited later.
- **A URL fetcher with an SSRF guard.** This server can reach the router, the
  other services on the box and LLeMbas itself, and the address can come from a
  model. Private ranges are refused *after resolution* and redirects are followed
  by hand so every hop is checked. An admin can open it deliberately.
- **Model capabilities split** into protocol support and a toggle per built-in
  tool. Rows predating the split have no `tool_*` keys, and absent counts as on
  when `tools` is on — otherwise an upgrade silently takes web search away from
  every model already configured for it.

Also fixes the test fixture, which built the schema with `create_all` and so ran
against a database without the FTS tables production has; it now runs
`sync_schema`, the same path startup takes.

430 tests, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-21 19:43:57 +02:00

265 lines
10 KiB
Python

"""Tool calling: reassembling calls, deciding what is offered, running it."""
from __future__ import annotations
import json
import pytest
from lembas.db.models import Chat, Connection, Model
from lembas.services import settings_store
from lembas.services import tools as tools_service
from lembas.services.llm.openai_client import delta_tool_calls, finish_reason
from lembas.services.search.base import SearchError, SearchResult
# --- Reading the stream ------------------------------------------------------
def test_delta_tool_calls_reads_the_normal_shape():
chunk = {"choices": [{"delta": {"tool_calls": [{"index": 0, "id": "a"}]}}]}
assert delta_tool_calls(chunk) == [{"index": 0, "id": "a"}]
@pytest.mark.parametrize(
"chunk", [{}, {"choices": []}, {"choices": [{}]}, {"choices": [{"delta": {}}]}]
)
def test_delta_tool_calls_tolerates_junk(chunk):
assert delta_tool_calls(chunk) == []
def test_finish_reason_is_read_when_present():
assert finish_reason({"choices": [{"finish_reason": "tool_calls"}]}) == "tool_calls"
assert finish_reason({"choices": [{}]}) == ""
# --- The accumulator ---------------------------------------------------------
def test_arguments_split_across_chunks_are_rejoined():
"""Arguments arrive one token at a time; the id and name arrive once, on
the first fragment only. This is the real shape llama.cpp produces."""
accumulator = tools_service.ToolCallAccumulator()
accumulator.feed(
[{"index": 0, "id": "c1", "function": {"name": "web_search", "arguments": "{"}}]
)
for piece in ['"query"', ":", '"mallorn', ' tree"', "}"]:
accumulator.feed([{"index": 0, "function": {"arguments": piece}}])
assert accumulator.calls == [
{"id": "c1", "name": "web_search", "arguments": '{"query":"mallorn tree"}'}
]
def test_two_calls_are_kept_apart_by_index():
"""Not by name: a model calling the same tool twice in one turn is exactly
the case that breaks if name is the key."""
accumulator = tools_service.ToolCallAccumulator()
accumulator.feed(
[
{"index": 0, "id": "a", "function": {"name": "web_search", "arguments": '{"q":1}'}},
{"index": 1, "id": "b", "function": {"name": "web_search", "arguments": '{"q":2}'}},
]
)
assert [c["id"] for c in accumulator.calls] == ["a", "b"]
assert accumulator.calls[1]["arguments"] == '{"q":2}'
def test_a_missing_index_is_treated_as_the_only_call():
"""Some servers omit index entirely when there is just one call."""
accumulator = tools_service.ToolCallAccumulator()
accumulator.feed([{"function": {"name": "web_search", "arguments": "{}"}}])
assert len(accumulator.calls) == 1
def test_a_call_with_no_name_is_not_a_call():
accumulator = tools_service.ToolCallAccumulator()
accumulator.feed([{"index": 0, "function": {"arguments": "{}"}}])
assert accumulator.calls == []
assert not accumulator
def test_an_id_is_invented_when_the_server_supplies_none():
"""The id is required when the results are sent back, and not every server
provides one."""
accumulator = tools_service.ToolCallAccumulator()
accumulator.feed([{"index": 0, "function": {"name": "web_search", "arguments": "{}"}}])
assert accumulator.calls[0]["id"]
# --- What gets offered -------------------------------------------------------
def _chat_with(db, user_id, *, capabilities):
connection = Connection(name="c", base_url="http://127.0.0.1:1", api_key_encrypted="")
db.add(connection)
db.commit()
db.add(
Model(connection_id=connection.id, model_id="m", capabilities_json=capabilities)
)
db.commit()
chat = Chat(user_id=user_id, model_id="m", connection_id=connection.id)
db.add(chat)
db.commit()
return chat
def _user(db, user_id):
from lembas.db.models import User
return db.get(User, user_id)
def _names(offered):
return {tool["function"]["name"] for tool in offered}
def test_web_search_is_absent_when_search_is_off(db, user_id):
"""The library tools do not depend on a search provider, so they stay."""
chat = _chat_with(db, user_id, capabilities={"tools": True})
offered = _names(tools_service.enabled_tools(db, chat, _user(db, user_id)))
assert "web_search" not in offered
assert "notes_search" in offered
def test_nothing_at_all_without_the_tools_capability(db, user_id):
"""Sending a tools array to an endpoint that does not implement tool calling
fails the entire request, exactly as image parts do without vision."""
settings_store.update(db, {"enabled": True}, key=settings_store.SEARCH)
chat = _chat_with(db, user_id, capabilities={})
assert tools_service.enabled_tools(db, chat, _user(db, user_id)) == []
def test_web_search_is_offered_when_everything_lines_up(db, user_id):
settings_store.update(db, {"enabled": True}, key=settings_store.SEARCH)
chat = _chat_with(db, user_id, capabilities={"tools": True})
assert "web_search" in _names(tools_service.enabled_tools(db, chat, _user(db, user_id)))
def test_a_model_predating_the_split_keeps_its_tools(db, user_id):
"""Rows configured before the per-tool flags existed have no tool_* keys.
Reading absent as off would silently take web search away from every model
already set up for it."""
settings_store.update(db, {"enabled": True}, key=settings_store.SEARCH)
chat = _chat_with(db, user_id, capabilities={"tools": True})
assert "web_search" in _names(tools_service.enabled_tools(db, chat, _user(db, user_id)))
def test_a_family_turned_off_for_the_model_is_withheld(db, user_id):
settings_store.update(db, {"enabled": True}, key=settings_store.SEARCH)
chat = _chat_with(
db, user_id, capabilities={"tools": True, "tool_notes": False}
)
offered = _names(tools_service.enabled_tools(db, chat, _user(db, user_id)))
assert "notes_search" not in offered
assert "web_search" in offered, "turning one family off must not affect another"
def test_web_search_is_withheld_when_the_provider_cannot_run(db, user_id, monkeypatch):
"""Offering a tool that will fail on every call is worse than not offering
it at all."""
monkeypatch.setattr(
"lembas.services.search.availability", lambda _key: "ddgs is not installed."
)
settings_store.update(db, {"enabled": True}, key=settings_store.SEARCH)
chat = _chat_with(db, user_id, capabilities={"tools": True})
assert "web_search" not in _names(
tools_service.enabled_tools(db, chat, _user(db, user_id))
)
def _context(**kwargs):
return tools_service.ToolContext(owner_id="someone", **kwargs)
# --- Running one -------------------------------------------------------------
async def test_running_web_search_formats_results_for_the_model(monkeypatch):
async def fake_run(_config, query, *, limit=None):
return [SearchResult("A title", "https://a.test", "a snippet")]
monkeypatch.setattr("lembas.services.search.run", fake_run)
outcome = await tools_service.run_tool(_context(), "web_search", '{"query": "mallorn"}')
assert "A title" in outcome.content
assert "https://a.test" in outcome.content
assert outcome.event["status"] == "ok"
assert outcome.event["results"][0]["host"] == "a.test"
async def test_malformed_argument_json_is_treated_as_the_query(monkeypatch):
"""Small models emit broken argument JSON often enough that this is a normal
path, not an exceptional one."""
seen = {}
async def fake_run(_config, query, *, limit=None):
seen["query"] = query
return []
monkeypatch.setattr("lembas.services.search.run", fake_run)
await tools_service.run_tool(_context(), "web_search", "mallorn tree")
assert seen["query"] == "mallorn tree"
async def test_a_failed_search_hands_the_model_an_explanation(monkeypatch):
"""A failed search should produce "I could not look that up", not kill the
whole reply."""
async def fake_run(_config, _query, *, limit=None):
raise SearchError("DuckDuckGo is rate limiting this instance.")
monkeypatch.setattr("lembas.services.search.run", fake_run)
outcome = await tools_service.run_tool(_context(), "web_search", '{"query": "x"}')
assert "rate limiting" in outcome.content
assert outcome.event["status"] == "error"
async def test_an_unknown_tool_is_reported_rather_than_raised():
outcome = await tools_service.run_tool(_context(), "launch_missiles", "{}")
assert "no tool called" in outcome.content
assert outcome.event["status"] == "error"
async def test_a_call_with_no_query_is_reported():
outcome = await tools_service.run_tool(_context(), "web_search", '{"query": " "}')
assert outcome.event["status"] == "error"
# --- The turns sent back -----------------------------------------------------
def test_the_assistant_turn_echoes_the_calls():
"""The endpoint needs its own tool_calls back before the tool replies, or it
has nothing to match the tool_call_ids against."""
turn = tools_service.assistant_turn(
[{"id": "c1", "name": "web_search", "arguments": '{"query":"x"}'}], "Looking it up."
)
assert turn["role"] == "assistant"
assert turn["content"] == "Looking it up."
assert turn["tool_calls"][0]["id"] == "c1"
assert turn["tool_calls"][0]["function"]["name"] == "web_search"
def test_an_empty_assistant_message_becomes_null():
"""Most endpoints reject an assistant turn whose content is an empty string
alongside tool_calls."""
turn = tools_service.assistant_turn([{"id": "c", "name": "n", "arguments": "{}"}], "")
assert turn["content"] is None
def test_the_tool_turn_carries_the_call_id():
turn = tools_service.tool_turn({"id": "c1", "name": "web_search"}, "results here")
assert turn == {
"role": "tool",
"tool_call_id": "c1",
"name": "web_search",
"content": "results here",
}
def test_every_schema_is_valid_json():
"""They are sent verbatim to the endpoint; a schema that will not serialise
fails every request rather than one."""
for name, tool in tools_service.REGISTRY.items():
json.dumps(tool.schema)
assert tool.schema["function"]["name"] == name
assert tool.family in tools_service.FAMILIES
def test_every_tool_describes_when_to_use_it():
"""The description is all the model has to decide with."""
for tool in tools_service.REGISTRY.values():
assert len(tool.description) > 40, tool.name