unsloth/studio/backend/tests/test_gemma_tool_parse_edge_cases.py
Wasim Yousef Said 37166efcfc
Fix Gemma 4 GGUF OpenAI API streams (#6476)
* Fix Gemma 4 GGUF OpenAI API streams

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* Avoid duplicate Responses stream disconnect watcher

* Keep reasoning-only Responses output hidden

* Address Gemma stream review comments

* Avoid Responses stream task-group cleanup

* Harden OpenAI chat completion streams

* Address OpenAI stream review issues

* Clean up Studio OpenAI stream helpers

* Fix Studio passthrough cold stream timeout

* Fix tool parser compatibility exports lint

* Preserve audio stream disconnect cancellation

* Avoid synthetic finish after passthrough errors

* Address stream cleanup and Gemma parser reviews

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* Gemma 4: parse bare-string tool args and keep safetensors tools for native <|tool_call>

- Quote bare unquoted string values in Gemma native tool-call args (e.g.
  {location:Tokyo,unit:celsius}) so they parse; JSON scalars stay typed.
- Stop _detect_safetensors_features from suppressing supports_tools for
  templates that emit Gemma native <|tool_call>, which the shared parser
  now reads.
- Add tests for both.

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* Harden Gemma tool-call parsing and stream-error detection

Address three issues in the Gemma-native tool-call path:

- _quote_gemma_object_keys stopped a bare (unquoted) string value at the
  first comma, so an argument like `location:New York, NY` was split
  mid-value and the synthesized JSON failed to parse, dropping the whole
  tool call. A bare value now ends only at `}` or a comma that begins the
  next `key:` pair.

- parse_tool_calls_from_text scanned the entire response for Gemma markers
  even inside a tool call already parsed from a `<tool_call>{...}` JSON
  block, so a marker-like string inside an argument (data) was promoted to
  a second, unintended tool call. Matches inside an already-consumed call
  span are now skipped.

- _openai_passthrough_stream relied on _monitor_openai_sse_line to flag a
  stream error, which returns early when monitor_id is None
  (skip_api_monitor), so an upstream error chunk left saw_stream_error
  unset and the synthetic-finish guard emitted a successful finish_reason
  after a failed stream. Error chunks are now detected independently of API
  monitoring.

Adds tests/test_gemma_tool_parse_edge_cases.py covering the comma and
marker-injection cases.

* Emit the terminal finish_reason chunk in GGUF streams

The OpenAI chat-completions GGUF tool stream and plain stream both built a
final ChatCompletionChunk carrying finish_reason but never yielded it, so
clients received the optional usage chunk and [DONE] with no chunk carrying
finish_reason. OpenAI-compatible consumers rely on that terminal choice to
distinguish stop/length/tool_calls. Yield it before the usage chunk and
[DONE], matching the other streaming paths.

* Parse tool calls in document order and skip nested markers both ways

Unify the JSON- and Gemma-format tool-call passes into a single
position-ordered scan:

- Calls are now emitted in byte order across both formats, so a mixed
  output like `<|tool_call>call:create{...}<tool_call|> ... <tool_call>
  {"name":"read",...}</tool_call>` executes create before read, matching
  the order they appear in (tools run in returned order).

- A candidate that starts inside an already-accepted call's span is
  skipped, in both directions: a JSON marker inside a Gemma argument and a
  Gemma marker inside a JSON argument are treated as data, not promoted to
  a second executable tool call.

Extends tests/test_gemma_tool_parse_edge_cases.py with the ordering and
JSON-in-Gemma nesting cases.

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* Quote bare Gemma array elements; order finish before trailing usage

- _quote_gemma_object_keys skipped array values, so a Gemma call with a
  bare-string array argument like labels:[bug,ui] produced invalid JSON and
  the whole tool call was dropped. Array values are now scanned and bare
  string elements quoted, while numbers, quoted strings, and JSON literals
  are preserved.

- In the OpenAI passthrough stream, a trailing usage-only chunk
  (stream_options.include_usage) that arrived before any finish chunk was
  relayed before the synthetic finish, producing usage -> finish -> [DONE].
  Emit the synthetic finish before that usage chunk so the order matches the
  other streams (finish -> usage -> [DONE]).

Extends tests/test_gemma_tool_parse_edge_cases.py with the bare-array cases.

* Harden Gemma array parsing, XML-parameter guard, and stream teardown

Address five review findings on the Gemma tool-call and OpenAI passthrough
streaming paths:

- parse_tool_calls_from_text collected JSON and Gemma markers without the
  _inside_open_parameter guard, so a marker embedded in an existing
  <function=...><parameter=...> value was promoted to a separate tool call.
  Candidates that start inside an open XML parameter are now skipped, matching
  the guard the XML-style parser already applies.

- _quote_gemma_array_elements preserved array elements starting with { or [
  verbatim, so an array of objects (items:[{path:a}]) or a nested array failed
  json.loads and the whole call was dropped. Object and nested-array elements
  are now normalised recursively.

- _openai_passthrough_stream synthesized a finish chunk before a trailing
  usage-only chunk and set saw_finish_reason, which made the EOF guard skip the
  [DONE] sentinel. The EOF path now emits [DONE] whenever the upstream omitted
  it, even after a finish chunk was already synthesized.

- /generate/stream drove generation through asyncio.to_thread with no
  disconnect watcher, so a client disconnect during a long generation went
  unnoticed until the next send. It now runs _await_disconnect_then_cancel
  against the request, matching the other local streaming endpoints.

- _SameTaskStreamingResponse closed the body iterator with aclose() on a
  send-side disconnect, raising GeneratorExit so the generators' cancellation
  handlers (which finish the api_monitor entry) never ran. It now throws
  CancelledError, falling back to aclose() when athrow is unavailable.

Extends tests/test_gemma_tool_parse_edge_cases.py with array-of-objects,
nested-array, and marker-inside-XML-parameter cases.

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* Watch disconnects on Anthropic streams; keep timestamps in Gemma values

Two follow-ups on the streaming and tool-parse paths:

- _anthropic_tool_stream and _anthropic_plain_stream drove generation through
  asyncio.to_thread(next, gen, ...) and only polled is_disconnected() between
  events, so a client disconnect during prefill or a long generation/tool step
  held the decode slot until the next event or a failed send. Both now run the
  _await_disconnect_then_cancel watcher used by the other local streams, stop it
  in finally, and break promptly when cancel_event is set.

- _GEMMA_NEXT_KEY_RE treated any comma followed by word-chars-then-colon as the
  next key, so a bare value such as "meet at 10:00, 11:00 tomorrow" was split
  into bogus keys. The next-key token must now be identifier-shaped (start with
  a letter or underscore), so a comma before a timestamp, ratio, or other
  numeric-then-colon text stays part of the value.

Adds a timestamp-in-bare-value regression test.

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* Guard nested markers, reset on disconnect, clean unstarted streams

Three follow-ups on the tool-parse and streaming paths:

- parse_tool_calls_from_text only skipped markers that fell inside a span it
  had already parsed successfully, so when an unquoted Gemma argument contained
  a literal marker (code:<|tool_call>call:terminal{...}<tool_call|>) the outer
  object failed to normalize, its span was never recorded, and the inner marker
  was promoted to a standalone terminal call. Candidates nested inside any other
  candidate's brace span are now skipped regardless of whether the enclosing
  candidate parsed, so a marker in malformed outer data is never executed.

- /generate/stream skipped backend.reset_generation_state() when the disconnect
  watcher set cancel_event between chunks: the loop broke and the finally's reset
  is guarded on cancel_event being unset. A subprocess backend kept decoding
  after the client left. The cancel-break path now resets the backend.

- _SameTaskStreamingResponse threw CancelledError / called aclose() on the body
  iterator on a send-side disconnect, but neither runs the try/finally of a
  generator that never started (early disconnect on http.response.start), so the
  passthrough's eagerly-opened upstream httpx stream and cancel-registry entry
  leaked. It now tracks whether the body started and, when it did not, runs an
  optional unstarted_cleanup hook; the OpenAI passthrough wires it to close the
  upstream resp/client and exit the cancel tracker.

Adds a nested-unquoted-marker regression test.

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
2026-06-23 06:13:56 -07:00

161 lines
6.8 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Edge cases in Gemma-native tool-call parsing.
Covers two failure modes:
1. A bare (unquoted) string argument that contains a comma, e.g.
``location:New York, NY`` -- the comma must not be treated as the next
key boundary, or the whole call is dropped.
2. A tool-call marker that appears INSIDE another call's argument string is
data, not a real call, so it must not be promoted to a second tool call.
"""
from __future__ import annotations
import json
import sys
from pathlib import Path
_BACKEND_DIR = str(Path(__file__).resolve().parent.parent)
if _BACKEND_DIR not in sys.path:
sys.path.insert(0, _BACKEND_DIR)
from core.inference.tool_call_parser import parse_tool_calls_from_text
def _args(call: dict) -> dict:
return json.loads(call["function"]["arguments"])
def test_bare_string_argument_with_comma_is_kept():
calls = parse_tool_calls_from_text(
"<|tool_call>call:get_weather{location:New York, NY,unit:celsius}<tool_call|>"
)
assert len(calls) == 1, calls
assert calls[0]["function"]["name"] == "get_weather"
assert _args(calls[0]) == {"location": "New York, NY", "unit": "celsius"}
def test_normal_multi_key_arguments_still_split():
calls = parse_tool_calls_from_text('<|tool_call>call:f{a:1,b:hello,c:"x,y"}<tool_call|>')
assert len(calls) == 1, calls
# Numbers stay numeric, bare strings get quoted, an explicit quoted comma
# stays inside its value.
assert _args(calls[0]) == {"a": 1, "b": "hello", "c": "x,y"}
def test_bare_value_with_timestamps_after_comma_is_kept():
# A comma followed by digits-then-colon (a timestamp/ratio) is value text,
# not a new key, so the whole query must be preserved as one argument.
calls = parse_tool_calls_from_text(
"<|tool_call>call:remind{query:meet at 10:00, 11:00 tomorrow,priority:high}<tool_call|>"
)
assert len(calls) == 1, calls
assert _args(calls[0]) == {"query": "meet at 10:00, 11:00 tomorrow", "priority": "high"}
def test_marker_inside_json_argument_is_not_a_second_call():
# A python call whose `code` argument contains a Gemma marker string. The
# marker is data and must not execute as a second `terminal` call.
content = (
'<tool_call>{"name":"python","arguments":{"code":'
'"x = 1 # <|tool_call>call:terminal{command:ls}<tool_call|>"}}</tool_call>'
)
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["python"], calls
def test_two_separate_gemma_calls_both_parse():
content = "<|tool_call>call:a{x:1}<tool_call|> and <|tool_call>call:b{y:2}<tool_call|>"
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["a", "b"], calls
assert _args(calls[0]) == {"x": 1}
assert _args(calls[1]) == {"y": 2}
def test_mixed_format_calls_preserve_document_order():
# A Gemma-native call precedes a JSON-format call in the text; tools execute
# in returned order, so `create` must come before `read`.
content = (
"<|tool_call>call:create{path:a}<tool_call|> then "
'<tool_call>{"name":"read","arguments":{"path":"a"}}</tool_call>'
)
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["create", "read"], calls
def test_json_marker_inside_gemma_argument_is_not_a_second_call():
# The reverse of the JSON-outer case: a JSON-style marker inside a Gemma
# call's quoted argument is code text, not a second `terminal` call.
content = (
'<|tool_call>call:python{code:<|"|>'
'print(<tool_call>{"name":"terminal","arguments":{"command":"ls"}}</tool_call>)'
'<|"|>}<tool_call|>'
)
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["python"], calls
def test_nested_gemma_marker_in_unquoted_arg_does_not_run_inner_call():
# An UNQUOTED Gemma value containing a literal marker: the outer object fails
# to normalize (the inner braces/marker break the JSON), but the inner marker
# is nested in the outer candidate span, so it must not be promoted to a
# standalone `terminal` call. The safe outcome is no executed tool call.
content = "<|tool_call>call:python{code:<|tool_call>call:terminal{command:ls}<tool_call|>}<tool_call|>"
calls = parse_tool_calls_from_text(content)
assert "terminal" not in [c["function"]["name"] for c in calls], calls
def test_bare_string_array_argument_is_quoted():
# Gemma may emit an array of bare strings without per-element quotes; they
# must be quoted so the call is not dropped.
calls = parse_tool_calls_from_text("<|tool_call>call:label{labels:[bug,ui]}<tool_call|>")
assert len(calls) == 1, calls
assert _args(calls[0]) == {"labels": ["bug", "ui"]}
def test_array_keeps_numbers_and_quoted_elements():
calls = parse_tool_calls_from_text(
'<|tool_call>call:f{nums:[1,2],tags:[<|"|>a,b<|"|>,c]}<tool_call|>'
)
assert _args(calls[0]) == {"nums": [1, 2], "tags": ["a,b", "c"]}
def test_array_of_objects_is_normalised():
# Arrays of objects are a common tool-schema shape; their (unquoted) keys and
# bare values must be normalised too, not left verbatim, or the call drops.
calls = parse_tool_calls_from_text(
"<|tool_call>call:batch{items:[{path:a,mode:r},{path:b,mode:w}]}<tool_call|>"
)
assert len(calls) == 1, calls
assert _args(calls[0]) == {"items": [{"path": "a", "mode": "r"}, {"path": "b", "mode": "w"}]}
def test_nested_array_elements_are_normalised():
calls = parse_tool_calls_from_text("<|tool_call>call:grid{cells:[[a,b],[c,d]]}<tool_call|>")
assert _args(calls[0]) == {"cells": [["a", "b"], ["c", "d"]]}
def test_gemma_marker_inside_xml_parameter_is_not_a_second_call():
# An XML-style <function=...> call whose <parameter=code> value contains a
# Gemma marker: the marker is the parameter's data, not a separate terminal
# call, so only the python call must be returned.
content = (
"<tool_call><function=python><parameter=code>"
"x = 1 # <|tool_call>call:terminal{command:ls}<tool_call|>"
"</parameter></function></tool_call>"
)
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["python"], calls
assert "terminal" in _args(calls[0])["code"]
def test_json_marker_inside_xml_parameter_is_not_a_second_call():
content = (
"<tool_call><function=python><parameter=code>"
'run(<tool_call>{"name":"terminal","arguments":{"command":"ls"}}</tool_call>)'
"</parameter></function></tool_call>"
)
calls = parse_tool_calls_from_text(content)
assert [c["function"]["name"] for c in calls] == ["python"], calls