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6 commits

Author SHA1 Message Date
Daniel Han
698e76e323 Studio: stop the Gemma tool-call array parser hanging on malformed input 2026-07-06 06:59:31 +00:00
danielhanchen
ade6613e99 Studio: trim redundant comments (comment-only, AST-verified) 2026-07-02 07:29:24 +00:00
Daniel Han
615b860803 Studio: tighten Llama-3.2 bare-JSON guard for PR #5811
A fuzz pass turned up that ``_parse_llama3_bare_json`` accepted
``parameters`` as a string, contradicting the docstring's
"parameters or arguments is a dict" guard. Prose like
``{"name":"foo","parameters":"a sentence"}`` would wrongly fire
the parser, which the agentic loop would then heal into a real
``foo(query="a sentence")`` call.

Tightened guard:

  - ``parameters`` must be a dict (Llama-3 spec).
  - ``arguments`` may be a dict, or a JSON-encoded string that
    decodes to a dict (OpenAI shape, e.g.
    ``"arguments":"{\"q\":\"x\"}"``). Plain non-JSON strings,
    JSON-strings of lists / scalars / null no longer pass.

Added 4 regression tests under TestParserMultiFormat:

  - test_llama3_2_bare_json_string_parameters_does_not_fire
  - test_llama3_2_bare_json_string_arguments_not_json_does_not_fire
  - test_llama3_2_bare_json_string_arguments_json_dict_fires
  - test_llama3_2_bare_json_string_arguments_json_non_dict_does_not_fire

Existing tests stay green (104 -> 108 passing) and a 50-case
cross-version fuzz suite passes on Python 3.10 / 3.11 / 3.12 / 3.13.
2026-05-27 14:28:08 +00:00
Daniel Han
518d0a5570 Studio: correct tool-call parser docstrings for PR #5811
Three label corrections surfaced while cross-checking the parser
against official HF chat templates. Comment-only, no behaviour
change; 104/104 tests still pass.

  1. ``<function=...>`` XML was labelled "Qwen3.5 xml". The
     canonical emitter is Qwen3-Coder and it always wraps the
     <function=...> block inside an outer <tool_call>...</tool_call>,
     never bare. Updated labels in the module docstring and the
     three inline comments.

  2. Mistral grouping was wrong on two counts: Ministral-8B-2410
     uses Tekken V3 and emits the ``[TOOL_CALLS] [...]`` array
     form, not ``[ARGS]``. Mistral-Large-2411 ships
     tokenizer.model.v7 (no ``[ARGS]`` token) and also emits the
     array form. ``[ARGS]`` only enters with Tekken V13 (Devstral,
     Magistral-Small-2509). Regrouped the doc lines accordingly.

  3. Gemma 4 ``<|tool_call>`` is forward-looking. Neither
     gemma-3-12b-it nor gemma-3n-E4B-it emit this shape in their
     chat templates today. Noted that the capability gate
     correctly suppresses the tools pill on real Gemma 3
     templates, so the parser stays as ready-when-Google-ships
     scaffolding.
2026-05-27 14:15:19 +00:00
pre-commit-ci[bot]
4d69577d97 [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
2026-05-27 13:16:21 +00:00
Daniel Han
430610ca3d Studio: re-introduce multi-format tool calling with parser bug fixes
Resubmits the work from #5615 (reverted in #5619) with the parser /
route bug fixes that were subsequently developed on #5620 folded in.
The healing-parity package in #5620 -- the GGUF canonical heal key
in `llama_cpp.py` and the safetensors_agentic re-prompt loop -- is
deliberately left to #5620 so this redo stays scoped to the same
4 files that #5615 originally touched.

Adds multi-format tool-call parsing for the safetensors / MLX agentic
loop so Llama-3, Llama-3.2 bare JSON, Mistral pre-v11 / v11+ /
Ministral, and Gemma 4 tool emissions are normalised to OpenAI shape
instead of leaking as prose, plus a route-layer strip that removes
the same shapes from streamed and non-streamed completions. Formats:

  Qwen / Hermes        <tool_call>{json}</tool_call>
  Qwen3.5 / Hermes     <function=name><parameter=k>v</parameter></function>
  Llama-3 built-in     <|python_tag|>NAME.call(k="v", ...)
  Llama-3 custom       <|python_tag|>{"name":..., "parameters":...}
  Llama-3.2 bare       {"name":..., "parameters":...}    (no marker)
  Mistral pre-v11      [TOOL_CALLS] [{"name":..., "arguments":...}, ...]
  Mistral v11+         [TOOL_CALLS]name{json}            (may chain)
  Ministral / Large 3  [TOOL_CALLS]name[ARGS]{json}
  Gemma 4              <|tool_call>call:NAME{k:<|"|>v<|"|>}<tool_call|>

The four parser bugs that motivated the revert are fixed here:

  1. Mistral nested-JSON truncation. The closed-pair Mistral regex
     `\[TOOL_CALLS\]...\{.*?\}` was non-greedy on `}`, so
     `[TOOL_CALLS]search{"filters":{"date":"2024"},"q":"foo"}` was
     stripped only up to the inner `}`, leaking `,"q":"foo"}` to
     the user. Replaced with `_strip_mistral_closed_calls` + the
     balanced-brace / balanced-bracket helpers that ignore braces
     inside JSON strings.

  2. `<|python_tag|>` stop-on-`<`. The route-layer strip clause
     `<\|python_tag\|>[^\n<]*` stopped at any literal `<`, so
     `<|python_tag|>python.call(code="if x < 10: pass")` was
     sliced to `< 10: pass")`. Replaced with
     `<\|python_tag\|>(?:[^<]|<(?!\|))*` so the strip consumes any
     character that is not a Llama-3 `<|sentinel|>` start --
     literal `<`, newlines, and embedded JSON all stay inside.

  3. Llama-3 sentinel single-pass loop. The fixed-order
     `for sentinel in (...)` loop in the bare-JSON parser silently
     dropped calls when the stream contained
     `<|eot_id|><|begin_of_text|>{json}` because `begin_of_text`
     was tested before `eot_id` consumed its prefix. Replaced with
     a `while True / matched` loop so the order of sentinels in
     the stream no longer matters.

  4. UTF-8 corruption in Llama-3 KV decoder.
     `bytes(s, "utf-8").decode("unicode_escape")` mangles non-ASCII
     bytes (`"café日本"` -> `'caféæ\x97¥æ\x9c¬'`). Replaced with
     `json.loads('"' + value + '"')` which handles
     `\n` / `\t` / `\uXXXX` escapes correctly while preserving
     literal UTF-8 bytes (emoji, CJK, etc.).

`_TOOL_XML_RE` keeps the orphan-handling clauses that #5735 added
for the speculative buffer leak shapes (closed pair OR orphan-open
to EOF, bare orphan close, tail-only `</parameter>`) so the route
layer continues to strip in-flight tool markup as well as the
multi-format closed pairs. The new `_strip_tool_xml(text)` helper
composes `_TOOL_XML_RE` with `_strip_mistral_closed_calls` so the
Mistral nested-JSON shape gets balanced-brace handling at every
call site (8 sites updated).

Capability gating in `_detect_safetensors_features` now allows
templates whose tool-call format is any of the seven supported
markers; the gate still suppresses `supports_tools` for templates
that advertise tools but use a shape the parser cannot honour, so
the UI never enables a pill the loop will not return.

Tests in scope:

  - tests/test_safetensors_tool_loop.py: full multi-format parser
    coverage (Qwen/Hermes, Llama-3 python_tag and bare JSON,
    Mistral all variants, Gemma 4), plus
    `TestRoutesPythonTagStrip` (8 tests) pinning the multi-line /
    less-than-in-code / sentinel-stop behaviour of bug 2's regex.
  - tests/test_safetensors_capability_advertise.py: capability
    gate keeps tools enabled for Llama-3 / Mistral / Gemma 4 /
    Llama-3.2 bare-JSON templates while still suppressing tools
    for unknown emission formats.

Tests deliberately out of scope (they belong to #5620 because they
exercise `llama_cpp.py` / `safetensors_agentic.py`):

  - TestLoopRePrompt (6) -- safetensors_agentic re-prompt loop.
  - TestLoopCanonicalHealKey (3) -- canonical heal key under loop.
  - TestGGUFSafetensorsHealingParity (5) -- GGUF / safetensors
    parity assertions on shared constants and `_MAX_REPROMPTS`.

`pytest studio/backend/tests/test_safetensors_tool_loop.py studio/backend/tests/test_safetensors_capability_advertise.py -q`
-> 104 passed.
2026-05-27 13:15:24 +00:00
5 changed files with 1375 additions and 160 deletions

View file

@ -2,32 +2,55 @@
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""
Backend-neutral tool-call XML parser shared by GGUF and safetensors.
Tolerates missing closing tags in either ``<tool_call>{json}</tool_call>``
or ``<function=name><parameter=k>v...`` shape.
Backend-neutral tool-call parser shared by GGUF, safetensors, and MLX.
Covers the emission formats so the safetensors + MLX agentic loop sees
the same call shape llama-server normalises for GGUF:
- ``<tool_call>{json}</tool_call>`` (Qwen / Hermes)
- ``<function=name><parameter=k>v</parameter></function>`` (Qwen3-Coder XML; nested in <tool_call>)
- ``<|python_tag|>NAME.call(k="v", ...)`` (Llama-3 built-in tools)
- ``<|python_tag|>{"name":..., "parameters":...}`` (Llama-3 custom)
- ``{"name":..., "parameters":...}`` (Llama-3.2 bare JSON)
- ``[TOOL_CALLS] [{...}, ...]`` (Mistral V3 tokenizer: v0.3, Nemo, Small, Ministral-8B-2410, Large-2411)
- ``[TOOL_CALLS]name{json}`` (Mistral V11+ Tekken: Magistral)
- ``[TOOL_CALLS]name[ARGS]{json}`` (Mistral V13 Tekken: Devstral, Magistral-Small-2509)
- ``<|tool_call>call:NAME{k:<|"|>v<|"|>}<tool_call|>`` (Gemma 4; forward-looking, no shipping Gemma model emits this yet)
Closing tags / brackets are tolerated when missing because models
frequently truncate them mid-stream.
"""
import json
import re
from typing import Any
# _TOOL_CLOSED_PATS: closed pairs only. _TOOL_ALL_PATS: also trailing
# unclosed runs so truncated tails don't leak markup.
# Flip the stream buffer to DRAINING so partial markup never leaks.
TOOL_XML_SIGNALS = (
"<tool_call>",
"<function=",
"<|python_tag|>",
"[TOOL_CALLS]",
"<|tool_call>",
)
# Closed pairs only; _TOOL_ALL_PATS also eats unclosed tails at end-of-turn.
_TOOL_CLOSED_PATS = [
re.compile(r"<tool_call>.*?</tool_call>", re.DOTALL),
re.compile(r"<function=\w+>.*?</function>", re.DOTALL),
re.compile(r"<\|tool_call>.*?<tool_call\|>", re.DOTALL),
]
_TOOL_ALL_PATS = _TOOL_CLOSED_PATS + [
re.compile(r"<tool_call>.*$", re.DOTALL),
re.compile(r"<function=\w+>.*$", re.DOTALL),
re.compile(r"<\|tool_call>.*$", re.DOTALL),
re.compile(r"\[TOOL_CALLS\].*$", re.DOTALL),
re.compile(r"<\|python_tag\|>.*$", re.DOTALL),
]
# Prefixes the streaming buffer watches for to gate in-progress text.
TOOL_XML_SIGNALS = ("<tool_call>", "<function=")
# Nudges + error prefixes shared by the GGUF and safetensors loops.
TOOL_ERROR_PREFIXES = (
"Error",
"Search failed",
@ -58,147 +81,762 @@ BUDGET_EXHAUSTED_NUDGE = (
)
# Pre-compiled patterns reused by ``parse_tool_calls_from_text``.
# Qwen / Hermes ``<tool_call>{json}``.
_TC_JSON_START_RE = re.compile(r"<tool_call>\s*\{")
_TC_FUNC_START_RE = re.compile(r"<function=(\w+)>\s*")
# Qwen3-Coder XML ``<function=name><parameter=k>v``, nested inside <tool_call>.
_TC_FUNC_START_RE = re.compile(r"<function=([\w\.\-]+)>\s*")
_TC_END_TAG_RE = re.compile(r"</tool_call>")
_TC_FUNC_CLOSE_RE = re.compile(r"\s*</function>\s*$")
_TC_PARAM_START_RE = re.compile(r"<parameter=(\w+)>\s*")
_TC_PARAM_START_RE = re.compile(r"<parameter=([\w\.\-]+)>\s*")
_TC_PARAM_CLOSE_RE = re.compile(r"\s*</parameter>\s*$")
# Llama-3 ``<|python_tag|>NAME.call(...)``.
_LLAMA3_PYTHON_TAG = "<|python_tag|>"
_LLAMA3_PY_CALL_RE = re.compile(
r"<\|python_tag\|>\s*([\w\.\-]+)\s*\.\s*call\s*\(",
)
_LLAMA3_KV_RE = re.compile(
r"""(\w+)\s*=\s*(?:"((?:\\.|[^"\\])*)"|(-?\d+(?:\.\d+)?)|(true|false|null))""",
re.VERBOSE,
)
# Mistral ``[TOOL_CALLS]``: V11+ Tekken chains ``name{json}`` / ``name[ARGS]{json}``
# (Magistral, Devstral); V3 tokenizer models emit the ``[...]`` array form.
_MISTRAL_TRIGGER = "[TOOL_CALLS]"
_MISTRAL_ARGS_MARKER = "[ARGS]"
_MISTRAL_V11_NAME_RE = re.compile(r"\s*([\w\.\-]+)\s*")
# Gemma 4 (forward-looking; Gemma 3 does not emit this shape yet):
# ``<|tool_call>call:NAME{...}<tool_call|>``, ``<|"|>`` wraps strings.
_GEMMA_TC_RE = re.compile(r"<\|tool_call>\s*call\s*:\s*([\w\.\-]+)\s*\{")
_GEMMA_STR_BEGIN = '<|"|>'
_GEMMA_STR_END = '<|"|>'
_GEMMA_TC_END = "<tool_call|>"
def _balanced_bracket_end(text: str, start: int) -> int | None:
"""Index of `]` matching `[` at ``text[start]``; ignores brackets
in JSON strings. None if unmatched."""
if start >= len(text) or text[start] != "[":
return None
depth = 0
in_string = False
esc = False
i = start
while i < len(text):
ch = text[i]
if in_string:
if esc:
esc = False
elif ch == "\\":
esc = True
elif ch == '"':
in_string = False
else:
if ch == '"':
in_string = True
elif ch == "[":
depth += 1
elif ch == "]":
depth -= 1
if depth == 0:
return i
i += 1
return None
def _strip_mistral_closed_calls(text: str) -> str:
"""Strip cleanly-closed ``[TOOL_CALLS]`` blocks (array, ``name{json}``,
or ``name[ARGS]{json}``) via balanced brace/bracket scanning.
A non-greedy ``\\{.*?\\}`` would truncate at the first ``}`` and lose
nested JSON. Unclosed runs are left for ``final=True`` cleanup.
"""
n = len(text)
out = []
cursor = 0
while cursor < n:
idx = text.find(_MISTRAL_TRIGGER, cursor)
if idx == -1:
out.append(text[cursor:])
break
out.append(text[cursor:idx])
body_start = idx + len(_MISTRAL_TRIGGER)
i = body_start
while i < n and text[i] in " \t\n\r":
i += 1
# Array shape: ``[TOOL_CALLS] [...]``.
if i < n and text[i] == "[":
end = _balanced_bracket_end(text, i)
if end is None:
# Truncated; let caller buffer / final-strip.
out.append(text[idx:])
break
cursor = end + 1
if text.startswith("</s>", cursor):
cursor += len("</s>")
continue
# Named shape: ``[TOOL_CALLS] name [ARGS]? { json }``.
name_match = _MISTRAL_V11_NAME_RE.match(text, i)
if not name_match:
out.append(text[idx:body_start])
cursor = body_start
continue
i = name_match.end()
while i < n and text[i] in " \t\n\r":
i += 1
if text.startswith(_MISTRAL_ARGS_MARKER, i):
i += len(_MISTRAL_ARGS_MARKER)
while i < n and text[i] in " \t\n\r":
i += 1
if i >= n or text[i] != "{":
out.append(text[idx:i])
cursor = i
continue
end = _balanced_brace_end(text, i)
if end is None:
out.append(text[idx:])
break
cursor = end + 1
return "".join(out)
def strip_tool_markup(text: str, *, final: bool = False) -> str:
"""Strip tool-call XML from streamed text.
``final=False`` only removes closed pairs (used during streaming so
in-progress XML stays buffered). ``final=True`` also removes a
trailing unclosed run and trims the result.
"""
"""Strip tool-call markup. ``final=False`` keeps in-progress
markup buffered; ``final=True`` also drops trailing unclosed runs
and trims."""
text = _strip_mistral_closed_calls(text)
pats = _TOOL_ALL_PATS if final else _TOOL_CLOSED_PATS
for pat in pats:
text = pat.sub("", text)
return text.strip() if final else text
def has_tool_signal(text: str) -> bool:
return any(s in text for s in TOOL_XML_SIGNALS)
def parse_tool_calls_from_text(content: str, *, id_offset: int = 0) -> list[dict]:
"""Parse OpenAI-format ``tool_calls`` from model text.
"""Return OpenAI-format tool calls. Tries each format and returns
as soon as one matches so we never double-count."""
for parser in (
_parse_tool_call_json, # Qwen / Hermes
_parse_function_xml, # Qwen3-Coder XML
_parse_llama3_python_tag, # Llama-3
_parse_mistral_tool_calls, # Mistral
_parse_gemma_tool_calls, # Gemma 4 (forward-looking)
):
calls = parser(content, id_offset = id_offset)
if calls:
return calls
Returns a list of ``{"id", "type", "function": {"name", "arguments"}}``
dicts. ``arguments`` is always a JSON string so callers can hand it
straight back into an OpenAI-style response.
# Llama-3.2 bare ``{"name":..., "parameters":...}``. Strict: only
# fires on content that starts with ``{`` and parses as the right
# shape, so plain prose stays untouched.
return _parse_llama3_bare_json(content, id_offset = id_offset)
Handles two shapes:
- JSON inside ``<tool_call>`` tags:
``<tool_call>{"name":"web_search","arguments":{"query":"..."}}</tool_call>``
- XML-style function blocks:
``<function=name><parameter=k>v</parameter></function>``
Closing tags (``</tool_call>``, ``</function>``, ``</parameter>``)
are all optional since models frequently omit them.
"""
tool_calls: list[dict] = []
# Pattern 1: <tool_call>{json}. Balanced-brace scan that skips
# braces inside JSON strings.
def _parse_tool_call_json(content: str, *, id_offset: int) -> list[dict]:
out: list[dict] = []
for m in _TC_JSON_START_RE.finditer(content):
brace_start = m.end() - 1 # position of the opening {
depth, i = 0, brace_start
brace_start = m.end() - 1
end = _balanced_brace_end(content, brace_start)
if end is None:
continue
try:
obj = json.loads(content[brace_start : end + 1])
except (json.JSONDecodeError, ValueError):
continue
name = obj.get("name", "")
args = obj.get("arguments", {})
if isinstance(args, dict):
args_str = json.dumps(args)
elif isinstance(args, str):
args_str = args
else:
args_str = json.dumps({"value": args})
if not name:
continue
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": args_str},
}
)
return out
def _parse_function_xml(content: str, *, id_offset: int) -> list[dict]:
out: list[dict] = []
func_starts = list(_TC_FUNC_START_RE.finditer(content))
for idx, fm in enumerate(func_starts):
func_name = fm.group(1)
body_start = fm.end()
next_func = (
func_starts[idx + 1].start() if idx + 1 < len(func_starts) else len(content)
)
end_tag = _TC_END_TAG_RE.search(content[body_start:])
if end_tag:
body_end = body_start + end_tag.start()
else:
body_end = len(content)
body_end = min(body_end, next_func)
body = _TC_FUNC_CLOSE_RE.sub("", content[body_start:body_end])
args: dict = {}
param_starts = list(_TC_PARAM_START_RE.finditer(body))
if len(param_starts) == 1:
pm = param_starts[0]
val = _TC_PARAM_CLOSE_RE.sub("", body[pm.end() :])
args[pm.group(1)] = val.strip()
else:
for pidx, pm in enumerate(param_starts):
val_start = pm.end()
next_param = (
param_starts[pidx + 1].start()
if pidx + 1 < len(param_starts)
else len(body)
)
val = _TC_PARAM_CLOSE_RE.sub("", body[val_start:next_param])
args[pm.group(1)] = val.strip()
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": func_name, "arguments": json.dumps(args)},
}
)
return out
def _parse_llama3_python_tag(content: str, *, id_offset: int) -> list[dict]:
"""Parse the four Llama-3 emissions: ``<|python_tag|>NAME.call(...)``
(built-in), ``<|python_tag|>{"name":..., "parameters":...}`` (custom),
multi-call via ``; `` separators, ``parameters`` or ``arguments`` key.
"""
out: list[dict] = []
if _LLAMA3_PYTHON_TAG not in content:
return out
# 1. ``NAME.call(...)`` built-in form.
for m in _LLAMA3_PY_CALL_RE.finditer(content):
name = m.group(1)
i = m.end()
depth = 1
in_string = False
while i < len(content):
esc = False
while i < len(content) and depth > 0:
ch = content[i]
if in_string:
if ch == "\\" and i + 1 < len(content):
i += 2
continue
if ch == '"':
if esc:
esc = False
elif ch == "\\":
esc = True
elif ch == '"':
in_string = False
else:
if ch == '"':
in_string = True
elif ch == "(":
depth += 1
elif ch == ")":
depth -= 1
if depth == 0:
break
i += 1
body = content[m.end() : i]
args: dict[str, Any] = {}
for kv in _LLAMA3_KV_RE.finditer(body):
k = kv.group(1)
if kv.group(2) is not None:
# ``json.loads`` on a quoted string handles \n/\t/\uXXXX
# escapes correctly AND keeps literal UTF-8 bytes (emoji
# / CJK) intact -- the older ``bytes.decode('unicode_escape')``
# path mangled non-ASCII.
try:
args[k] = json.loads('"' + kv.group(2) + '"')
except (json.JSONDecodeError, ValueError):
args[k] = kv.group(2)
elif kv.group(3) is not None:
v = kv.group(3)
args[k] = float(v) if "." in v else int(v)
elif kv.group(4) is not None:
args[k] = {"true": True, "false": False, "null": None}[kv.group(4)]
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": json.dumps(args)},
}
)
# 2. ``<|python_tag|>{"name":..., "parameters":...}``. ``raw_decode``
# peels multiple ``; ``-separated objects from one emission.
if not out:
decoder = json.JSONDecoder()
idx = content.find(_LLAMA3_PYTHON_TAG)
while idx >= 0:
search_from = idx + len(_LLAMA3_PYTHON_TAG)
cursor = search_from
while cursor < len(content):
brace = content.find("{", cursor)
if brace < 0:
break
# Stop at the next ``<|python_tag|>``.
next_tag = content.find(_LLAMA3_PYTHON_TAG, search_from, brace)
if next_tag >= 0:
break
try:
obj, end_offset = decoder.raw_decode(content[brace:])
except (json.JSONDecodeError, ValueError):
cursor = brace + 1
continue
if not isinstance(obj, dict):
cursor = brace + end_offset
continue
name = obj.get("name") or obj.get("function") or ""
args = (
obj.get("parameters")
if "parameters" in obj
else obj.get("arguments", {})
)
if isinstance(args, dict):
args_str = json.dumps(args)
elif isinstance(args, str):
args_str = args
else:
args_str = json.dumps({"value": args})
if name:
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": args_str},
}
)
cursor = brace + end_offset
idx = content.find(_LLAMA3_PYTHON_TAG, cursor)
return out
def _parse_llama3_bare_json(content: str, *, id_offset: int) -> list[dict]:
"""Llama-3.2 ``custom_tools``: bare ``{"name":..., "parameters":{...}}``
without ``<|python_tag|>``. Strict (must start with ``{`` after sentinel
strip; ``name`` non-empty; ``parameters`` or ``arguments`` is a dict) so
plain prose and tool-message echoes don't trigger."""
out: list[dict] = []
stripped = content.lstrip()
# Sentinels can chain in any order, so loop until none match.
_sentinels = (
"<|begin_of_text|>",
"<|eot_id|>",
"<|start_header_id|>",
"<|end_header_id|>",
"<|eom_id|>",
)
while True:
stripped = stripped.lstrip()
matched = False
for sentinel in _sentinels:
if stripped.startswith(sentinel):
stripped = stripped[len(sentinel) :]
matched = True
break
if not matched:
break
if not stripped.startswith("{"):
return out
decoder = json.JSONDecoder()
cursor = 0
n = len(stripped)
while cursor < n:
# Skip whitespace and the Llama-3 ``;`` inter-call separator.
while cursor < n and stripped[cursor] in " \t\n\r;":
cursor += 1
if cursor >= n or stripped[cursor] != "{":
break
try:
obj, end_offset = decoder.raw_decode(stripped[cursor:])
except (json.JSONDecodeError, ValueError):
break
if not isinstance(obj, dict):
break
name = obj.get("name") or obj.get("function") or ""
if not isinstance(name, str) or not name:
break
# ``parameters`` must be a dict (Llama-3 spec).
# ``arguments`` may be a dict or a JSON-string of a dict (OpenAI shape).
# Anything looser would fire on prose like ``{"name":"x","parameters":"sentence"}``.
if "parameters" in obj:
args = obj.get("parameters")
if not isinstance(args, dict):
break
args_str = json.dumps(args)
elif "arguments" in obj:
args = obj.get("arguments")
if isinstance(args, dict):
args_str = json.dumps(args)
elif isinstance(args, str):
try:
parsed = json.loads(args)
except (json.JSONDecodeError, ValueError):
break
if not isinstance(parsed, dict):
break
args_str = args
else:
break
else:
break
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": args_str},
}
)
cursor += end_offset
return out
def _parse_mistral_tool_calls(content: str, *, id_offset: int) -> list[dict]:
"""Parse all Mistral emissions: pre-v11 ``[TOOL_CALLS][...]`` /
``[TOOL_CALLS]{...}`` and v11+ ``[TOOL_CALLS]name{json}`` /
``[TOOL_CALLS]name[ARGS]{json}`` (parallel-friendly)."""
out: list[dict] = []
idx = content.find(_MISTRAL_TRIGGER)
if idx < 0:
return out
# Disambiguate the first occurrence: array (pre-v11), single object
# (pre-v11), or bare-name (v11+).
j = idx + len(_MISTRAL_TRIGGER)
k = j
while k < len(content) and content[k] in " \t\n\r":
k += 1
if k >= len(content):
return out
if content[k] == "[":
return _parse_mistral_array(content, k, id_offset)
if content[k] == "{":
# Pre-v11 single ``{"name":...}``; fall through if it doesn't
# carry a ``name`` so v11+ handling still gets a chance.
end = _balanced_brace_end(content, k)
if end is not None:
try:
obj = json.loads(content[k : end + 1])
if isinstance(obj, dict) and obj.get("name"):
_consume_mistral_call(content[k : end + 1], out, id_offset)
return out
except (json.JSONDecodeError, ValueError):
pass
# v11+: walk every ``[TOOL_CALLS]``, parsing ``name{json}`` or
# ``name[ARGS]{json}`` after each trigger.
pos = idx
while pos >= 0:
cur = pos + len(_MISTRAL_TRIGGER)
nm = _MISTRAL_V11_NAME_RE.match(content, cur)
if not nm:
pos = content.find(_MISTRAL_TRIGGER, cur)
continue
name = nm.group(1)
after_name = nm.end()
if content.startswith(_MISTRAL_ARGS_MARKER, after_name):
after_name += len(_MISTRAL_ARGS_MARKER)
while after_name < len(content) and content[after_name] in " \t\n\r":
after_name += 1
if after_name >= len(content) or content[after_name] != "{":
pos = content.find(_MISTRAL_TRIGGER, cur)
continue
end = _balanced_brace_end(content, after_name)
if end is None:
break
try:
args = json.loads(content[after_name : end + 1])
except (json.JSONDecodeError, ValueError):
pos = content.find(_MISTRAL_TRIGGER, end + 1)
continue
if not isinstance(args, dict):
pos = content.find(_MISTRAL_TRIGGER, end + 1)
continue
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {
"name": name,
"arguments": json.dumps(args),
},
}
)
pos = content.find(_MISTRAL_TRIGGER, end + 1)
return out
def _parse_mistral_array(content: str, start: int, id_offset: int) -> list[dict]:
"""Pre-v11 ``[TOOL_CALLS] [{...}, ...]`` array form."""
out: list[dict] = []
j = start
depth = 0
in_string = False
esc = False
while j < len(content):
ch = content[j]
if in_string:
if esc:
esc = False
elif ch == "\\":
esc = True
elif ch == '"':
in_string = False
else:
if ch == '"':
in_string = True
elif ch == "[":
depth += 1
elif ch == "]":
depth -= 1
if depth == 0:
break
j += 1
body = content[start : j + 1] if depth == 0 else content[start:]
try:
arr = json.loads(body)
if isinstance(arr, list):
for obj in arr:
if isinstance(obj, dict):
_consume_mistral_call(json.dumps(obj), out, id_offset)
return out
except (json.JSONDecodeError, ValueError):
pass
# Healing path for unclosed arrays: walk objects by hand.
for m in re.finditer(r"\{", body):
end = _balanced_brace_end(body, m.start())
if end is None:
continue
_consume_mistral_call(body[m.start() : end + 1], out, id_offset)
return out
def _consume_mistral_call(obj_text: str, out: list[dict], id_offset: int) -> None:
try:
obj = json.loads(obj_text)
except (json.JSONDecodeError, ValueError):
return
if not isinstance(obj, dict):
return
name = obj.get("name") or ""
args = obj.get("arguments") or {}
if isinstance(args, dict):
args_str = json.dumps(args)
elif isinstance(args, str):
args_str = args
else:
args_str = json.dumps({"value": args})
if name:
out.append(
{
"id": obj.get("id") or f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": args_str},
}
)
def _parse_gemma_tool_calls(content: str, *, id_offset: int) -> list[dict]:
"""Gemma 4 (forward-looking; no shipping Gemma 3 model emits this):
``<|tool_call>call:NAME{k:<|"|>v<|"|>, ...}<tool_call|>``.
Capability gate suppresses the tools pill on real Gemma 3 templates."""
out: list[dict] = []
for m in _GEMMA_TC_RE.finditer(content):
name = m.group(1)
body_start = m.end() - 1
end_marker = content.find(_GEMMA_TC_END, body_start)
scan_end = end_marker if end_marker >= 0 else len(content)
end = _gemma_balanced_brace_end(content, body_start, scan_end)
if end is None:
continue
body = content[body_start + 1 : end]
try:
args = _gemma_parse_mapping_body(body)
except Exception:
args = {}
out.append(
{
"id": f"call_{id_offset + len(out)}",
"type": "function",
"function": {"name": name, "arguments": json.dumps(args)},
}
)
return out
def _balanced_brace_end(text: str, brace_pos: int) -> int | None:
"""Index of `}` matching `{` at ``brace_pos``; ignores braces inside
JSON strings. None if unmatched."""
if brace_pos >= len(text) or text[brace_pos] != "{":
return None
depth = 0
in_string = False
esc = False
i = brace_pos
while i < len(text):
ch = text[i]
if in_string:
if esc:
esc = False
elif ch == "\\":
esc = True
elif ch == '"':
in_string = False
else:
if ch == '"':
in_string = True
elif ch == "{":
depth += 1
elif ch == "}":
depth -= 1
if depth == 0:
return i
i += 1
return None
def _gemma_balanced_brace_end(text: str, brace_pos: int, hard_stop: int) -> int | None:
"""Like ``_balanced_brace_end`` but skips ``<|"|>`` strings and
matches `{`/`[` symmetrically."""
if brace_pos >= len(text) or text[brace_pos] != "{":
return None
depth = 0
i = brace_pos
while i < hard_stop:
if text.startswith(_GEMMA_STR_BEGIN, i):
close = text.find(_GEMMA_STR_END, i + len(_GEMMA_STR_BEGIN))
if close < 0:
return None
i = close + len(_GEMMA_STR_END)
continue
ch = text[i]
if ch == "{" or ch == "[":
depth += 1
elif ch == "}" or ch == "]":
depth -= 1
if depth == 0:
return i
i += 1
return None
def _gemma_parse_value(text: str, i: int):
"""Parse one Gemma arg value at ``i``; returns ``(value, next_index)``."""
if text.startswith(_GEMMA_STR_BEGIN, i):
close = text.find(_GEMMA_STR_END, i + len(_GEMMA_STR_BEGIN))
if close < 0:
return text[i + len(_GEMMA_STR_BEGIN) :], len(text)
return text[i + len(_GEMMA_STR_BEGIN) : close], close + len(_GEMMA_STR_END)
if text[i] == "{":
end = _gemma_balanced_brace_end(text, i, len(text))
if end is None:
return {}, len(text)
return _gemma_parse_mapping_body(text[i + 1 : end]), end + 1
if text[i] == "[":
j, depth = i, 0
while j < len(text):
if text.startswith(_GEMMA_STR_BEGIN, j):
k = text.find(_GEMMA_STR_END, j + len(_GEMMA_STR_BEGIN))
if k < 0:
j = len(text)
break
j = k + len(_GEMMA_STR_END)
continue
ch = text[j]
if ch == "[":
depth += 1
elif ch == "]":
depth -= 1
if depth == 0:
break
j += 1
body = text[i + 1 : j]
items: list[Any] = []
k = 0
while k < len(body):
if body[k] in " \t\n\r,":
k += 1
continue
v, next_k = _gemma_parse_value(body, k)
if next_k <= k:
# Malformed array (e.g. a stray ``}`` with no opening
# ``{``): the primitive branch consumed nothing, so stop
# rather than spin forever.
break
k = next_k
items.append(v)
return items, j + 1
# Primitive: number / true/false/null / bare identifier.
end = i
while (
end < len(text)
and text[end] not in ",}]"
and not text.startswith(_GEMMA_STR_BEGIN, end)
):
end += 1
raw = text[i:end].strip()
if raw == "true":
return True, end
if raw == "false":
return False, end
if raw == "null":
return None, end
try:
return int(raw), end
except ValueError:
pass
try:
return float(raw), end
except ValueError:
pass
return raw, end
def _gemma_parse_mapping_body(body: str) -> dict[str, Any]:
"""Parse a Gemma argument mapping (content between `{` and `}`)."""
out: dict[str, Any] = {}
i = 0
n = len(body)
while i < n:
while i < n and body[i] in " \t\n\r,":
i += 1
if depth == 0:
json_str = content[brace_start : i + 1]
try:
obj = json.loads(json_str)
tc = {
"id": f"call_{id_offset + len(tool_calls)}",
"type": "function",
"function": {
"name": obj.get("name", ""),
"arguments": obj.get("arguments", {}),
},
}
if isinstance(tc["function"]["arguments"], dict):
tc["function"]["arguments"] = json.dumps(
tc["function"]["arguments"]
)
tool_calls.append(tc)
except (json.JSONDecodeError, ValueError):
pass
# Pattern 2: <function=name><parameter=k>v... -- closing tags
# optional; don't use </function> as body boundary because code
# values can contain that literal.
if not tool_calls:
func_starts = list(_TC_FUNC_START_RE.finditer(content))
for idx, fm in enumerate(func_starts):
func_name = fm.group(1)
body_start = fm.end()
next_func = (
func_starts[idx + 1].start()
if idx + 1 < len(func_starts)
else len(content)
)
end_tag = _TC_END_TAG_RE.search(content[body_start:])
if end_tag:
body_end = body_start + end_tag.start()
else:
body_end = len(content)
body_end = min(body_end, next_func)
body = content[body_start:body_end]
body = _TC_FUNC_CLOSE_RE.sub("", body)
arguments: dict = {}
param_starts = list(_TC_PARAM_START_RE.finditer(body))
if len(param_starts) == 1:
# Single param: take everything to body end so
# embedded </parameter> in code strings is preserved.
pm = param_starts[0]
val = body[pm.end() :]
val = _TC_PARAM_CLOSE_RE.sub("", val)
arguments[pm.group(1)] = val.strip()
else:
for pidx, pm in enumerate(param_starts):
param_name = pm.group(1)
val_start = pm.end()
next_param = (
param_starts[pidx + 1].start()
if pidx + 1 < len(param_starts)
else len(body)
)
val = body[val_start:next_param]
val = _TC_PARAM_CLOSE_RE.sub("", val)
arguments[param_name] = val.strip()
tc = {
"id": f"call_{id_offset + len(tool_calls)}",
"type": "function",
"function": {
"name": func_name,
"arguments": json.dumps(arguments),
},
}
tool_calls.append(tc)
return tool_calls
def has_tool_signal(text: str) -> bool:
"""Return True if ``text`` contains any tool-call XML signal."""
return any(s in text for s in TOOL_XML_SIGNALS)
if i >= n:
break
if body.startswith(_GEMMA_STR_BEGIN, i):
close = body.find(_GEMMA_STR_END, i + len(_GEMMA_STR_BEGIN))
if close < 0:
break
key = body[i + len(_GEMMA_STR_BEGIN) : close]
i = close + len(_GEMMA_STR_END)
else:
kstart = i
while i < n and body[i] != ":":
i += 1
key = body[kstart:i].strip()
while i < n and body[i] in " \t\n\r":
i += 1
if i < n and body[i] == ":":
i += 1
while i < n and body[i] in " \t\n\r":
i += 1
if i >= n:
out[key] = None
break
v, i = _gemma_parse_value(body, i)
out[key] = v
return out

View file

@ -260,16 +260,22 @@ def _detect_safetensors_features(backend, chat_template: Optional[str]) -> dict:
"supports_tools": False,
}
)
# Our safetensors loop only parses <tool_call>{json}</tool_call>
# and <function=name>...</function>. Llama uses <|python_tag|>,
# Mistral uses [TOOL_CALLS]; advertising tools for those would
# enable a pill the parser cannot honour. GGUF is unaffected --
# llama-server normalises every format into structured deltas.
# Markers the safetensors / MLX parser recognises; drop the pill if the
# template advertises tools but emits none. The ``{"name":`` variants cover
# Llama-3.2 ``custom_tools`` bare-JSON (no ``<|python_tag|>`` prefix).
_PARSER_MARKERS = (
"<tool_call>",
"<function=",
"<|python_tag|>",
"[TOOL_CALLS]",
"<|tool_call>",
'{"name":',
'{\\"name\\":',
)
if (
flags.get("supports_tools")
and chat_template
and "<tool_call>" not in chat_template
and "<function=" not in chat_template
and not any(m in chat_template for m in _PARSER_MARKERS)
):
logger.info(
"safetensors: template advertises tools but uses an "
@ -427,19 +433,39 @@ _TOOL_ACTION_NUDGE = (
" Do NOT output code blocks -- use the python tool instead."
)
# Strip tool-call XML the speculative buffer in core/inference/llama_cpp.py
# split across the visible/DRAIN boundary. Four leak shapes:
# 1. well-formed `<tool_call>...</tool_call>` / `<function=...>...</function>`
# 2. orphan opening to EOF (close was DRAINED)
# 3. bare orphan close (open was DRAINED)
# 4. tail-only `</parameter>` (outer close truncated by EOS); anchored to
# `\Z` so mid-text `<parameter>` in user code samples survives.
# Strip leaked tool-call markup: every shared-parser format plus the four
# leak shapes the llama_cpp.py buffer splits across the visible/DRAIN boundary.
# Mistral ``[TOOL_CALLS]`` goes via the parser's balanced-brace helper (a
# non-greedy ``\{.*?\}`` would truncate nested JSON at the first ``}``).
_TOOL_XML_RE = _re.compile(
r"<(?:tool_call|function=\w+)>.*?(?:</(?:tool_call|function)>|\Z)"
r"|</(?:tool_call|function)>"
r"|</parameter>\s*\Z",
"|".join(
[
# Tool-call / function XML: closed pair OR orphan open to EOF.
r"<(?:tool_call|function=\w+)>.*?(?:</(?:tool_call|function)>|\Z)",
# Bare orphan close (open was DRAINED upstream).
r"</(?:tool_call|function)>",
# Gemma 4.
r"<\|tool_call>.*?<tool_call\|>",
# Llama-3 ``<|python_tag|>...`` to the next ``<|`` sentinel or EOF;
# ``(?:[^<]|<(?!\|))*`` keeps literal ``<``, newlines, embedded JSON.
r"<\|python_tag\|>(?:[^<]|<(?!\|))*",
# Tail-only ``</parameter>`` (anchored so mid-text survives).
r"</parameter>\s*\Z",
]
),
_re.DOTALL,
)
def _strip_tool_xml(text: str) -> str:
"""Combine the Mistral balanced-brace helper with ``_TOOL_XML_RE``."""
from studio.backend.core.inference.tool_call_parser import (
_strip_mistral_closed_calls,
)
return _TOOL_XML_RE.sub("", _strip_mistral_closed_calls(text))
logger = get_logger(__name__)
@ -2736,7 +2762,7 @@ async def openai_chat_completions(
if _msg.get("role") == "assistant" and isinstance(
_msg.get("content"), str
):
_msg["content"] = _TOOL_XML_RE.sub("", _msg["content"]).strip()
_msg["content"] = _strip_tool_xml(_msg["content"]).strip()
def gguf_generate_with_tools():
return llama_backend.generate_chat_completion_with_tools(
@ -2837,7 +2863,7 @@ async def openai_chat_completions(
# the last sanitized snapshot so cross-chunk XML
# tags are handled correctly.
raw_cumulative = event.get("text", "")
clean_cumulative = _TOOL_XML_RE.sub("", raw_cumulative)
clean_cumulative = _strip_tool_xml(raw_cumulative)
new_text = clean_cumulative[len(prev_text) :]
prev_text = clean_cumulative
if not new_text:
@ -3222,7 +3248,7 @@ async def openai_chat_completions(
_sf_chat_messages.append(
{
**_msg,
"content": _TOOL_XML_RE.sub("", _msg["content"]).strip(),
"content": _strip_tool_xml(_msg["content"]).strip(),
}
)
else:
@ -3309,7 +3335,7 @@ async def openai_chat_completions(
# Diff cumulative cleaned text against last snapshot.
raw_cumulative = event.get("text", "")
clean_cumulative = _TOOL_XML_RE.sub("", raw_cumulative)
clean_cumulative = _strip_tool_xml(raw_cumulative)
new_text = clean_cumulative[len(prev_text) :]
prev_text = clean_cumulative
if not new_text:
@ -3381,7 +3407,7 @@ async def openai_chat_completions(
if cancel_event.is_set():
break
if event.get("type") == "content":
full_text = _TOOL_XML_RE.sub("", event.get("text", ""))
full_text = _strip_tool_xml(event.get("text", ""))
return full_text
content_text = await asyncio.to_thread(_drain_to_text)
@ -4913,7 +4939,7 @@ async def anthropic_messages(
# Strip stale tool-call XML from conversation
for _msg in openai_messages:
if _msg.get("role") == "assistant" and isinstance(_msg.get("content"), str):
_msg["content"] = _TOOL_XML_RE.sub("", _msg["content"]).strip()
_msg["content"] = _strip_tool_xml(_msg["content"]).strip()
def _run_tool_gen():
return llama_backend.generate_chat_completion_with_tools(
@ -5005,7 +5031,7 @@ async def _anthropic_tool_stream(
# Strip leaked tool-call XML from content events
if event.get("type") == "content":
event = dict(event)
event["text"] = _TOOL_XML_RE.sub("", event["text"])
event["text"] = _strip_tool_xml(event["text"])
for line in emitter.feed(event):
yield line
except Exception as e:
@ -5096,7 +5122,7 @@ async def _anthropic_tool_non_streaming(run_gen, message_id, model_name):
etype = event.get("type", "")
if etype == "content":
# Strip leaked tool-call XML
clean = _TOOL_XML_RE.sub("", event["text"])
clean = _strip_tool_xml(event["text"])
new = clean[len(prev_text) :]
prev_text = clean
if new:
@ -5433,7 +5459,7 @@ async def _anthropic_passthrough_non_streaming(
content_blocks = []
text = message.get("content") or ""
if text:
text = _TOOL_XML_RE.sub("", text).strip()
text = _strip_tool_xml(text).strip()
if text:
content_blocks.append(AnthropicResponseTextBlock(text = text))

View file

@ -63,16 +63,18 @@ def test_cpu_thread_cap_is_opt_in(raw):
# Anything that is not a positive integer raises a clear ValueError.
@pytest.mark.parametrize("raw", ["zero", "0", "-3", "1.5", "abc", "8a", "0x4", "1e3", "4 0"])
@pytest.mark.parametrize(
"raw", ["zero", "0", "-3", "1.5", "abc", "8a", "0x4", "1e3", "4 0"]
)
def test_cpu_thread_cap_requires_positive_integer(raw):
with pytest.raises(ValueError, match="must be a positive integer"):
with pytest.raises(ValueError, match = "must be a positive integer"):
configure_cpu_threads({"UNSLOTH_CPU_THREADS": raw})
# env=None path uses real os.environ (production call from run.py / main.py).
def test_cpu_thread_cap_uses_os_environ_when_env_is_none(monkeypatch):
for variable in (*_THREAD_POOL_ENV_VARS, "UNSLOTH_CPU_THREADS"):
monkeypatch.delenv(variable, raising=False)
monkeypatch.delenv(variable, raising = False)
monkeypatch.setenv("UNSLOTH_CPU_THREADS", "3")
configure_cpu_threads()
@ -84,7 +86,7 @@ def test_cpu_thread_cap_uses_os_environ_when_env_is_none(monkeypatch):
# Calling twice must not flip any seeded value.
def test_cpu_thread_cap_idempotent(monkeypatch):
for variable in (*_THREAD_POOL_ENV_VARS, "UNSLOTH_CPU_THREADS"):
monkeypatch.delenv(variable, raising=False)
monkeypatch.delenv(variable, raising = False)
monkeypatch.setenv("UNSLOTH_CPU_THREADS", "5")
configure_cpu_threads()
@ -138,9 +140,9 @@ def test_invalid_cpu_thread_cap_exits_without_traceback(entry_point):
result = subprocess.run(
[sys.executable, str(entry_point)],
env=env,
capture_output=True,
text=True,
env = env,
capture_output = True,
text = True,
)
assert result.returncode == 1

View file

@ -129,11 +129,11 @@ def test_detect_safetensors_features_gptoss_disables_tools():
assert flags["supports_tools"] is False
# Llama-3 / Mistral templates advertise tool handling but the model emits
# tool calls in <|python_tag|> / [TOOL_CALLS] format -- not the
# <tool_call> / <function= our parser understands. The route helper must
# refuse to flip supports_tools=True for those families so the UI does
# not enable a pill the agentic loop cannot honour.
# Llama-3 / Mistral / Gemma 4 templates emit tool calls in formats the
# shared parser now understands (<|python_tag|>, [TOOL_CALLS], and
# <|tool_call>). The route helper must surface supports_tools=True for
# all of them so the UI enables the pill. Only templates whose tool
# format is NONE of the five known markers should be suppressed.
LLAMA3_TEMPLATE = """
{%- if tools %}
@ -165,27 +165,88 @@ MISTRAL_TEMPLATE = """
{%- endfor %}
"""
GEMMA4_TEMPLATE = """
{%- if tools %}
{{- 'Tools available. Emit calls as ' }}
{{- '<|tool_call>call:NAME{key:<|"|>val<|"|>}<tool_call|>' }}
{%- for tool in tools %}
{{- tool | tojson }}
{%- endfor %}
{%- endif %}
"""
def test_detect_safetensors_features_llama3_template_suppresses_tools():
"""Llama-3 emits <|python_tag|>; safetensors loop cannot parse it."""
def test_detect_safetensors_features_llama3_template_keeps_tools_on():
"""Llama-3 emits <|python_tag|>; parser now supports it."""
from routes.inference import _detect_safetensors_features
backend = SimpleNamespace(active_model_name = "unsloth/Llama-3.2-3B-Instruct")
flags = _detect_safetensors_features(backend, LLAMA3_TEMPLATE)
assert flags["supports_tools"] is False
assert flags["supports_tools"] is True
def test_detect_safetensors_features_mistral_template_suppresses_tools():
"""Mistral emits [TOOL_CALLS]; safetensors loop cannot parse it."""
def test_detect_safetensors_features_mistral_template_keeps_tools_on():
"""Mistral emits [TOOL_CALLS]; parser now supports it."""
from routes.inference import _detect_safetensors_features
backend = SimpleNamespace(active_model_name = "unsloth/mistral-7b-instruct-v0.3")
flags = _detect_safetensors_features(backend, MISTRAL_TEMPLATE)
assert flags["supports_tools"] is True
def test_detect_safetensors_features_gemma4_template_keeps_tools_on():
"""Gemma 4 emits <|tool_call>; parser now supports it."""
from routes.inference import _detect_safetensors_features
backend = SimpleNamespace(active_model_name = "unsloth/gemma-4-E2B-it-UD-MLX-4bit")
flags = _detect_safetensors_features(backend, GEMMA4_TEMPLATE)
assert flags["supports_tools"] is True
LLAMA3_2_BARE_JSON_TEMPLATE = """
{%- if tools %}
{{- 'Given the following functions, respond with JSON for a function call.' }}
{{- 'Respond in the format {"name": function name, "parameters": dictionary}.' }}
{%- for tool in tools %}
{{- tool | tojson }}
{%- endfor %}
{%- endif %}
{%- for message in messages %}
{%- if 'tool_calls' in message %}
{{- '{"name": "' + message.tool_calls[0].function.name + '", '}}
{{- '"parameters": ' + (message.tool_calls[0].function.arguments | tojson) + '}' }}
{%- endif %}
{%- endfor %}
"""
def test_detect_safetensors_features_llama3_2_bare_json_keeps_tools_on():
"""Llama-3.2 emits bare JSON ``{"name":..., "parameters":...}`` -- the
parser now handles that path, so the pill must stay enabled."""
from routes.inference import _detect_safetensors_features
backend = SimpleNamespace(active_model_name = "unsloth/Llama-3.2-3B-Instruct")
flags = _detect_safetensors_features(backend, LLAMA3_2_BARE_JSON_TEMPLATE)
assert flags["supports_tools"] is True
def test_detect_safetensors_features_unknown_format_suppresses_tools():
"""A template that advertises tools but uses no known marker must
be suppressed so the UI does not enable an unsupported pill."""
from routes.inference import _detect_safetensors_features
tpl = (
"{%- if tools %}<|im_start|>system\n"
"Emit tool calls as JSON-RPC notifications inside the response."
"<|im_end|>{%- endif %}"
)
backend = SimpleNamespace(active_model_name = "custom/unknown-tool-format")
flags = _detect_safetensors_features(backend, tpl)
assert flags["supports_tools"] is False
def test_detect_safetensors_features_qwen_tool_call_keeps_tools_on():
"""Sanity check: gate only suppresses non-Qwen formats."""
"""Sanity check: Qwen <tool_call> marker still flips supports_tools."""
from routes.inference import _detect_safetensors_features
backend = SimpleNamespace(active_model_name = "unsloth/Qwen3-0.6B")

View file

@ -130,6 +130,342 @@ class TestParser:
assert "partial" in strip_tool_markup(text)
class TestParserMultiFormat:
"""Parser coverage for Llama-3 / Mistral / Gemma 4 emission formats.
Each model family upstream of GGUF emits a different tool-call
shape. The shared parser must turn all of them into the same
OpenAI ``{name, arguments}`` shape so the safetensors / MLX
agentic loop is family-agnostic.
"""
# Llama-3
def test_llama3_python_tag_dot_call(self):
# Llama-3 built-in tools: <|python_tag|>NAME.call(k="v", ...).
import json
text = '<|python_tag|>brave_search.call(query="weather in Tokyo")'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "brave_search"
args = json.loads(result[0]["function"]["arguments"])
assert args == {"query": "weather in Tokyo"}
def test_llama3_python_tag_dot_call_multi_arg(self):
import json
text = (
"<|python_tag|>get_weather.call("
'location="Tokyo", units="celsius", days=5)'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 1
args = json.loads(result[0]["function"]["arguments"])
assert args == {"location": "Tokyo", "units": "celsius", "days": 5}
def test_llama3_python_tag_json_form(self):
import json
text = (
'<|python_tag|>{"name":"web_search",' '"parameters":{"query":"hi","n":5}}'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "web_search"
args = json.loads(result[0]["function"]["arguments"])
assert args == {"query": "hi", "n": 5}
def test_llama3_python_tag_json_form_with_eom(self):
# Llama-3 emits ``<|eom_id|>`` after the JSON; must not break parsing.
import json
text = (
'<|python_tag|>{"name":"python",'
'"parameters":{"code":"print(2+2)"}}<|eom_id|>'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 1
args = json.loads(result[0]["function"]["arguments"])
assert args == {"code": "print(2+2)"}
def test_llama3_strip_markup_final(self):
text = '<|python_tag|>brave_search.call(query="x")'
assert strip_tool_markup(text, final = True) == ""
# Llama-3.2 bare JSON ``custom_tools``
def test_llama3_2_bare_json_parameters(self):
# Llama-3.2-Instruct emits bare JSON directly as content; no
# <|python_tag|> prefix per its training template.
import json
text = '{"name":"web_search","parameters":{"query":"Tokyo weather"}}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "web_search"
args = json.loads(result[0]["function"]["arguments"])
assert args == {"query": "Tokyo weather"}
def test_llama3_2_bare_json_arguments_key(self):
import json
text = '{"name":"add","arguments":{"a":1,"b":2}}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
args = json.loads(result[0]["function"]["arguments"])
assert args == {"a": 1, "b": 2}
def test_llama3_2_bare_json_multi_call(self):
# Llama-3 may chain calls with ``; `` per training template.
text = '{"name":"a","parameters":{}}; ' '{"name":"b","parameters":{}}'
result = parse_tool_calls_from_text(text)
assert len(result) == 2
assert result[0]["function"]["name"] == "a"
assert result[1]["function"]["name"] == "b"
def test_llama3_2_bare_json_with_eom_sentinel(self):
text = '{"name":"x","parameters":{"y":1}}<|eom_id|>'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "x"
def test_llama3_2_bare_json_leading_sentinel_skipped(self):
# Sometimes prior <|eot_id|> leaks into the next turn.
text = '<|eot_id|>{"name":"x","parameters":{}}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "x"
def test_llama3_2_bare_json_plain_prose_does_not_fire(self):
# Defensive: must NOT fire on plain assistant prose.
text = "Hello world, how are you today?"
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_embedded_in_prose_does_not_fire(self):
# Defensive: JSON embedded in prose must NOT fire (parser is
# strict about content STARTING with `{`).
text = 'The tool result was: {"name":"foo"}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_missing_name_does_not_fire(self):
text = '{"result":"ok","data":[1,2,3]}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_missing_args_does_not_fire(self):
text = '{"name":"x"}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_args_not_dict_does_not_fire(self):
text = '{"name":"x","parameters":42}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_string_parameters_does_not_fire(self):
# Llama-3 spec: parameters must be a dict. Prose like
# ``{"name":"foo","parameters":"a sentence"}`` must NOT trigger.
text = '{"name":"foo","parameters":"this is a sentence"}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_string_arguments_not_json_does_not_fire(self):
# OpenAI ``arguments`` may be a JSON-string of a dict, but a
# plain non-JSON string must not pass the guard.
text = '{"name":"foo","arguments":"not json"}'
assert parse_tool_calls_from_text(text) == []
def test_llama3_2_bare_json_string_arguments_json_dict_fires(self):
# OpenAI shape: arguments is a JSON-encoded string of a dict.
text = '{"name":"foo","arguments":"{\\"q\\":\\"x\\"}"}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "foo"
# arguments stays as the original JSON-string.
assert result[0]["function"]["arguments"] == '{"q":"x"}'
def test_llama3_2_bare_json_string_arguments_json_non_dict_does_not_fire(self):
# JSON-string that parses to a list / scalar / null must NOT fire.
for bad in (
'{"name":"foo","arguments":"[1,2,3]"}',
'{"name":"foo","arguments":"\\"plain\\""}',
'{"name":"foo","arguments":"null"}',
'{"name":"foo","arguments":"42"}',
):
assert parse_tool_calls_from_text(bad) == [], bad
# Mistral pre-v11
def test_mistral_pre_v11_array(self):
import json
text = (
'[TOOL_CALLS] [{"name":"web_search",'
'"arguments":{"query":"hello"},"id":"abc"}]'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "web_search"
# Mistral provides its own id; preserve it.
assert result[0]["id"] == "abc"
assert json.loads(result[0]["function"]["arguments"]) == {"query": "hello"}
def test_mistral_pre_v11_array_multi(self):
text = (
'[TOOL_CALLS] [{"name":"a","arguments":{"x":1},"id":"id1"},'
'{"name":"b","arguments":{"y":2},"id":"id2"}]'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 2
assert result[0]["function"]["name"] == "a"
assert result[1]["function"]["name"] == "b"
def test_mistral_pre_v11_unclosed_array(self):
# Closing ``]`` truncated -- parser must heal off individual objects.
text = '[TOOL_CALLS] [{"name":"web_search","arguments":{"q":"x"},"id":"id"}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "web_search"
# Mistral v11+
def test_mistral_v11_single(self):
# Magistral / Mistral Small 3.1: bare ``name{json}`` after trigger.
import json
text = '[TOOL_CALLS]add{"a":3.5,"b":4}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "add"
assert json.loads(result[0]["function"]["arguments"]) == {"a": 3.5, "b": 4}
def test_mistral_v11_parallel(self):
# v11+ parallel: ``[TOOL_CALLS]a{...}[TOOL_CALLS]b{...}``.
text = '[TOOL_CALLS]add{"a":1}[TOOL_CALLS]sub{"b":2}'
result = parse_tool_calls_from_text(text)
assert len(result) == 2
assert result[0]["function"]["name"] == "add"
assert result[1]["function"]["name"] == "sub"
def test_mistral_v11_with_args_marker(self):
# Ministral / Mistral Large 3: ``[TOOL_CALLS]name[ARGS]{json}``.
import json
text = '[TOOL_CALLS]add[ARGS]{"a":1,"b":2}'
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "add"
assert json.loads(result[0]["function"]["arguments"]) == {"a": 1, "b": 2}
def test_mistral_strip_markup_v11(self):
text = '[TOOL_CALLS]add{"a":1}'
assert strip_tool_markup(text, final = True) == ""
# Gemma 4
def test_gemma4_simple_call(self):
import json
text = (
"<|tool_call>call:get_weather{"
'location:<|"|>Tokyo<|"|>,units:<|"|>celsius<|"|>}<tool_call|>'
)
result = parse_tool_calls_from_text(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "get_weather"
args = json.loads(result[0]["function"]["arguments"])
assert args == {"location": "Tokyo", "units": "celsius"}
def test_gemma4_with_primitives(self):
import json
text = (
"<|tool_call>call:set_pref{"
"enabled:true,attempts:5,threshold:1.5,nickname:null}<tool_call|>"
)
result = parse_tool_calls_from_text(text)
args = json.loads(result[0]["function"]["arguments"])
assert args == {
"enabled": True,
"attempts": 5,
"threshold": 1.5,
"nickname": None,
}
def test_gemma4_nested_args(self):
# Gemma 4 nests dicts / lists with bare keys and ``<|"|>`` strings.
import json
text = (
"<|tool_call>call:search{"
'query:<|"|>foo<|"|>,filters:{site:<|"|>example.com<|"|>,recent:true},'
'tags:[<|"|>a<|"|>,<|"|>b<|"|>]}<tool_call|>'
)
result = parse_tool_calls_from_text(text)
args = json.loads(result[0]["function"]["arguments"])
assert args["query"] == "foo"
assert args["filters"] == {"site": "example.com", "recent": True}
assert args["tags"] == ["a", "b"]
def test_gemma4_multi_call(self):
text = (
"<|tool_call>call:a{x:1}<tool_call|>" "<|tool_call>call:b{y:2}<tool_call|>"
)
result = parse_tool_calls_from_text(text)
assert len(result) == 2
assert result[0]["function"]["name"] == "a"
assert result[1]["function"]["name"] == "b"
def test_gemma4_unclosed_does_not_raise(self):
# Truncated mid-stream; must not raise.
text = '<|tool_call>call:foo{x:<|"|>bar<|"|>'
result = parse_tool_calls_from_text(text)
assert isinstance(result, list)
def test_gemma4_malformed_array_terminates(self):
# Regression: a stray ``}`` inside a Gemma array (unbalanced
# braces) once spun the list loop forever because
# ``_gemma_parse_value`` returned without advancing the index.
# Parsing must terminate on this malformed input.
import threading
text = "<|tool_call>call:foo{items:[1}}<tool_call|>"
box: dict = {}
def _run():
box["result"] = parse_tool_calls_from_text(text)
worker = threading.Thread(target = _run, daemon = True)
worker.start()
worker.join(timeout = 5)
assert not worker.is_alive(), "Gemma parser hung on malformed array input"
assert isinstance(box["result"], list)
def test_gemma4_strip_markup_final(self):
text = "<|tool_call>call:foo{x:1}<tool_call|>"
assert strip_tool_markup(text, final = True) == ""
# Cross-format sentinels
def test_all_markers_in_tool_xml_signals(self):
# Streaming buffer wakes up on every emission marker.
from core.inference.tool_call_parser import TOOL_XML_SIGNALS
for marker in (
"<tool_call>",
"<function=",
"<|python_tag|>",
"[TOOL_CALLS]",
"<|tool_call>",
):
assert (
marker in TOOL_XML_SIGNALS
), f"streaming loop would not wake on {marker!r}"
def test_has_tool_signal_for_all_formats(self):
assert has_tool_signal('<|python_tag|>brave_search.call(q="x")')
assert has_tool_signal('[TOOL_CALLS] [{"name":"x"}]')
assert has_tool_signal('[TOOL_CALLS]add{"a":1}')
assert has_tool_signal("<|tool_call>call:foo{}<tool_call|>")
# ────────────────────────────────────────────────────────────────────
# run_safetensors_tool_loop
# ────────────────────────────────────────────────────────────────────
@ -280,6 +616,71 @@ class TestLoopBasic:
contents = [e for e in events if e["type"] == "content"]
assert "Result: 1" in contents[-1]["text"]
def test_llama3_python_tag_form(self):
# The agentic loop must recognise Llama-3's <|python_tag|>
# marker, drain the rest of the turn, and execute the call.
loop, exec_fn = _make_loop(
turns = [
[
"<|python_tag|>web_search.call(",
'query="weather in Tokyo"',
")",
],
["The weather is sunny."],
],
exec_results = ["Sunny, 22C"],
)
events = _collect_events(loop)
assert exec_fn.calls == [("web_search", {"query": "weather in Tokyo"})]
contents = [e for e in events if e["type"] == "content"]
assert "sunny" in contents[-1]["text"].lower()
def test_mistral_pre_v11_form(self):
# Pre-v11 Mistral emission: ``[TOOL_CALLS] [{...}]``.
loop, exec_fn = _make_loop(
turns = [
[
'[TOOL_CALLS] [{"name":"web_search",',
'"arguments":{"query":"hi"},"id":"abc"}]',
],
["done"],
],
exec_results = ["ok"],
)
events = _collect_events(loop)
assert exec_fn.calls == [("web_search", {"query": "hi"})]
# Mistral-provided ids must propagate to tool_start events.
tool_start = next(e for e in events if e["type"] == "tool_start")
assert tool_start["tool_call_id"] == "abc"
def test_mistral_v11_form(self):
# v11+ Mistral emission: bare ``name{json}`` after the trigger.
loop, exec_fn = _make_loop(
turns = [
['[TOOL_CALLS]web_search{"query":"hi"}'],
["done"],
],
exec_results = ["ok"],
)
events = _collect_events(loop)
assert exec_fn.calls == [("web_search", {"query": "hi"})]
def test_gemma4_form(self):
# Gemma 4 emission: ``<|tool_call>call:NAME{...}<tool_call|>``.
loop, exec_fn = _make_loop(
turns = [
[
"<|tool_call>call:web_search{",
'query:<|"|>weather<|"|>',
"}<tool_call|>",
],
["sunny"],
],
exec_results = ["Sunny, 22C"],
)
events = _collect_events(loop)
assert exec_fn.calls == [("web_search", {"query": "weather"})]
def test_truncated_unclosed_tool_call(self):
loop, exec_fn = _make_loop(
turns = [
@ -784,5 +1185,92 @@ class TestGptOssNameDetection:
assert is_gpt_oss_model_name(None) is False
# Routes-level python_tag strip (multi-line; stop on next sentinel)
class TestRoutesPythonTagStrip:
"""Earlier revisions of ``_TOOL_XML_RE`` in
``studio.backend.routes.inference`` used either ``[^\\n<]*`` (5615 --
leaked the tail of any tool call whose argument contained a literal
``<`` like ``code="if x < 10"``) or ``[^\\n]*`` (5620 round one --
single-line only, so the second line of
``python.call(code="line1\\nline2")`` leaked). The current pattern
``(?:[^<]|<(?!\\|))*`` consumes any character that is not a Llama-3
``<|`` sentinel start, so multi-line code, embedded JSON, and bare
``<`` characters in code all stay inside the strip.
The fully resolved strip is also exposed via
``strip_tool_markup(text, final=True)`` in the parser; the
streaming path's routes-level strip is the regression-prone one
because it runs on every cumulative emission while content is
still arriving.
"""
def _strip(self, text: str) -> str:
# Import inside the test so a routes-module import error does
# not blow up the entire test file at collection time.
from routes.inference import _strip_tool_xml
return _strip_tool_xml(text)
def test_single_line_python_tag_stripped(self):
# Floor: the original 5620 single-line behaviour still works.
text = '<|python_tag|>brave_search.call(query="weather")'
assert self._strip(text) == ""
def test_python_tag_with_less_than_in_code(self):
# 5615 regression: literal ``<`` inside code must NOT terminate
# the strip early.
text = '<|python_tag|>python.call(code="if x < 10: pass")'
assert self._strip(text) == ""
def test_python_tag_multiline_code_stripped(self):
# 5620 round-1 regression: multi-line code's second line leaked.
text = '<|python_tag|>python.call(code="line1\nline2\nline3")'
assert self._strip(text) == ""
def test_python_tag_multiline_with_less_than(self):
# Combined: multi-line code AND literal ``<`` in code.
text = (
'<|python_tag|>python.call(code="for i in range(10):\n'
" if i < 5:\n"
' print(i)")'
)
assert self._strip(text) == ""
def test_python_tag_stops_at_eom_sentinel(self):
# Strip stops at the next Llama-3 ``<|`` sentinel so any
# trailing assistant content survives.
text = (
'<|python_tag|>python.call(code="multi\nline")'
"<|eom_id|>final answer text"
)
assert self._strip(text) == "<|eom_id|>final answer text"
def test_python_tag_stops_at_eot_sentinel(self):
text = '<|python_tag|>brave_search.call(query="x")' "<|eot_id|>after"
assert self._strip(text) == "<|eot_id|>after"
def test_python_tag_json_form_multiline_stripped(self):
# The JSON form of python_tag with newlines inside string args.
text = (
'<|python_tag|>{"name":"python",'
'"parameters":{"code":"a = 1\nb = 2\nprint(a+b)"}}'
)
assert self._strip(text) == ""
def test_python_tag_with_eom_then_trailing_python_tag(self):
# Two python_tag emissions back-to-back across a sentinel: both
# should strip independently.
text = (
'<|python_tag|>brave_search.call(query="a")'
"<|eom_id|>"
'<|python_tag|>python.call(code="x=1")'
)
# ``<|eom_id|>`` between the two strips remains; both
# python_tag blocks are fully consumed.
assert self._strip(text) == "<|eom_id|>"
if __name__ == "__main__":
pytest.main([__file__, "-v"])