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[None][fix] GLM tool and reasoning parsers: streaming matches the whole-text parse - #19935

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JunyiXu-nv:dev-junyix-fix-glm-parsers

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@JunyiXu-nv JunyiXu-nv commented Oct 7, 2026 •

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Description

Fixes for the GLM tool parsers (glm4, glm47) and a reasoning parser for the GLM family, found while serving GLM-5.x to agent clients. Split out of #19883 (Responses API), which is stacked on this PR and reads the new streaming_matches_whole_parse flag.

Tool parsers (glm4, glm47)

On main the two parsers read a document differently depending on how it was streamed. A call that arrived in the final delta could be lost on the chat path, a declared string was re-typed ("99797" arrived as 99797, true as "True"), a value quoting </arg_value> was cut there, and markup the model wrote around a tool name ended up inside the name.

  • glm47 derives from glm4 and overrides only how a call body splits into name and argument text. Both parse paths run each complete <tool_call>...</tool_call> through one function, so streaming reports the calls and the text detect_and_parse returns, however the output is split. BaseToolParser.streaming_matches_whole_parse declares that property; it is False by default and True for these two parsers.
  • A call is reported once its </tool_call> arrives, as one item with the name and the complete JSON arguments; text after a call waits for the next increment. finish() reports the complete calls the parser still holds and releases the rest as text.
  • A call is delivered only when its argument text is complete key/value pairs; otherwise its markup is released as text, as detect_and_parse reads it. A value runs to the first </arg_value> followed by the next <arg_key> or the end of the call, so a value may quote that tag.
  • Declared strings are delivered verbatim. Other declared types are decoded as JSON, JSON with escaped quotes or a Python literal. An undeclared argument is decoded only when it is strict JSON; main also guessed Python literals for those. A result that is not strict JSON (NaN, 1e309) keeps the text, and a repeated key keeps its first value.
  • A name with a group qualifier missing or extra, or with markup fused into it, resolves to the declared tool (BaseToolParser.resolve_tool_name) and is typed by that tool's schema; prose that mentions a tool never resolves. An undeclared name is delivered as written only when it is a dotted identifier (no_such_tool); prose or code in the name position is released as text. A <tool_call> between the name and the first <arg_key> restarts the call: the abandoned prefix is released as text and the rest parsed. One inside an argument value is part of that value, so a string argument may quote it.
  • GLM-4 keeps the text between and after calls, as GLM-4.7 does, and argument text is scanned in linear time.

Behaviour change on /v1/chat/completions: a GLM tool call now arrives as one delta when it completes, instead of its name first and its arguments in pieces. A call whose markup turns out to be unreadable is never announced.

Reasoning parser (glm, glm45, glm47, glm_moe_dsa)

There was no reasoning parser for the GLM family. GlmReasoningParser runs one scanner for streaming and whole text, so the two splits agree:

  • glm, glm47 and glm_moe_dsa start inside the block, which the GLM-4.7 and GLM-5 templates prefill; with enable_thinking false those templates close it in the prompt, and the parser starts outside. glm45 opens the block at a <think> at the start of the output, as GLM-4.5/4.6 write it.
  • The block ends at the first </think>, or at a <tool_call> opened before it, so a call made without closing the block reaches the tool parser. A later <think> is text.
  • A </think> before any content, or directly before the first <tool_call>, closes the block again and is dropped. Text from the first <tool_call> on is kept verbatim, so tool arguments that quote the markup survive.
  • --reasoning_parser auto maps glm_moe_dsa (GLM-5, GLM-5.2) to its key. glm4_moe is shared by GLM-4.5/4.6 and GLM-4.7, whose templates differ on prefilling <think>, so it needs an explicit key.
  • The partial-marker holdback is one module-level helper, shared with the Gemma4 and Kimi K3 parsers, which each had their own copy.

GLM-5.3-Flash prefills <think> whatever enable_thinking says, so these keys would misread it with thinking disabled; its deployment guide recommends deepseek-r1, which remains the right parser for it.

Related PRs

Test Coverage

  • tests/unittest/llmapi/apps/test_tool_parsers.py: one parity class run for both parsers. Every case is checked whole and over every chunking: a typing table and a value-by-every-schema sweep, an argument-text table including unreadable shapes, a multi-call response with prose, a restart, a malformed and a cut-off call, the ordering of text and calls, mangled and prose names, a bare name typed by its qualified declaration, and a linear-time guard. Also a resolve_tool_name table and a parse_base_json name test. The existing streaming tests that asserted an early name announcement now assert the single complete item.
  • tests/unittest/llmapi/test_reasoning_parser.py: a GLM table checked whole, at chunk sizes 1/2/4 and over every three-way split, a seeded stream-versus-whole comparison, and a check that deepseek-r1 is unaffected.
  • tests/unittest/api_stability/: the CLI reference lists the new reasoning parser keys.
  • Outside CI, fuzzing found no mismatch between streaming and whole-text parsing: 5,000 texts per tool parser, about 25 chunkings each, on the chat path and the end-of-stream path; and several hundred thousand reasoning-parser streams over all four keys with enable_thinking unset, false and true.

Local run (H100, torch 2.14): the two test files and tests/unittest/api_stability, 1040 passed. -m cpu_only over tests/unittest/llmapi and tests/unittest/disaggregated has no failures beyond those that fail on main in the same environment (etcd, MPI and config-database tests).

PR Checklist

  • PR description clearly explains what and why.
  • PR follows TRT-LLM coding guidelines to the best of my knowledge.
  • Test cases are provided for new code paths.
  • Please check this after reviewing the above items as appropriate for this PR.

🤖 Generated with Claude Code

Dev Engineer Review

The current diff changes only formatting in reasoning_parser.py, base_tool_parser.py, and the two test files. It does not include the GLM parser implementation changes described in the PR objectives or raw summary. No runtime behavior change is evident in the source diff. No current review findings or test results were supplied.

QA Engineer Review

The two modified test files are tests/unittest/llmapi/apps/test_tool_parsers.py and tests/unittest/llmapi/test_reasoning_parser.py. The changes reformat imports and remove blank lines; they do not add or remove test functions or assertions in the shown diff. Both files are listed in tests/integration/test_lists/test-db/l0_cpu.yml; no manual-QA list evidence was supplied. Coverage verdict: sufficient for the formatting-only changes. Test execution status is unavailable.

Per-File QA Perspective

  • tensorrt_llm/llmapi/reasoning_parser.py: The diff changes docstring formatting only. No parser behavior change is evident.
  • tensorrt_llm/serve/tool_parser/base_tool_parser.py: The diff changes docstring formatting only. No API or default behavior change is evident.
  • tests/unittest/llmapi/apps/test_tool_parsers.py: The diff reformats imports and removes blank lines. The file is listed in the CPU CI test list.
  • tests/unittest/llmapi/test_reasoning_parser.py: The diff reformats imports. The file is listed in the CPU CI test list.

…e reports

glm4 and glm47 parsed a document differently depending on how it was
streamed. A call that arrived in the final delta could be lost on the chat
path, a declared string was re-typed ("99797" arrived as 99797, true as
"True"), a value quoting </arg_value> was cut there, and markup the model
wrote around a tool name ended up inside the name.

- glm47 derives from glm4 and overrides only how a call body splits into
  name and argument text. Both parse paths run each complete
  <tool_call>...</tool_call> through one function, so streaming reports
  the calls and the text detect_and_parse returns, however the output is
  split. BaseToolParser.streaming_matches_whole_parse declares that
  property; it is False by default and True for these two parsers.
- A call is reported once its </tool_call> arrives, as one item with the
  name and the complete JSON arguments; text after a call waits for the
  next increment. finish() reports the complete calls the parser still
  holds and releases the rest as text.
- A call is delivered only when its argument text is complete key/value
  pairs; otherwise its markup is released as text, as detect_and_parse
  reads it. A value runs to the first </arg_value> followed by the next
  <arg_key> or the end of the call, so a value may quote that tag.
- Declared strings are delivered verbatim. Other declared types are
  decoded as JSON, JSON with escaped quotes or a Python literal, and an
  undeclared argument only as strict JSON. A result that is not strict
  JSON (NaN, 1e309) keeps the text, and a repeated key keeps its first
  value.
- A name with a group qualifier missing or extra, or with markup fused
  into it, resolves to the declared tool (BaseToolParser.resolve_tool_name)
  and is typed by that tool's schema; prose that mentions a tool never
  resolves. A <tool_call> restarted inside a call is parsed from the
  restart, and the abandoned prefix is released as text.
- GLM-4 keeps the text between and after calls, as GLM-4.7 does, and
  argument text is scanned in linear time.

On the chat path a GLM tool call now arrives as one delta when it
completes, instead of its name first and its arguments in pieces.

The GLM tests are one parity class run for both parsers: typing and
argument-text tables, multi-call responses with malformed, restarted and
cut-off calls, and name repair, each checked whole and over every
chunking. The existing streaming tests that asserted an early name
announcement now assert the single complete item.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
There was no reasoning parser for the GLM family. GlmReasoningParser,
registered as glm, glm45, glm47 and glm_moe_dsa, runs one scanner for
streaming and whole text, so the two splits agree:

- glm, glm47 and glm_moe_dsa start inside the block, which the GLM-4.7
  and GLM-5 templates prefill; with enable_thinking false those templates
  close it in the prompt, and the parser starts outside. glm45 opens the
  block at a <think> at the start of the output, as GLM-4.5/4.6 write it.
- The block ends at the first </think>, or at a <tool_call> opened before
  it, so a call made without closing the block reaches the tool parser. A
  later <think> is text.
- A </think> before any content, or directly before the first
  <tool_call>, closes the block again and is dropped. Text from the first
  <tool_call> on is kept verbatim, so tool arguments that quote the
  markup survive.

The partial-marker holdback is one module-level helper, shared with the
Gemma4 and Kimi K3 parsers, which each had their own copy. The CLI
reference lists the new keys.

The tests are a table checked whole, at small chunk sizes and over every
three-way split, plus a seeded stream-versus-whole comparison and a check
that deepseek-r1 is unaffected.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
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  • tensorrt_llm/llmapi/reasoning_parser.py
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Walkthrough

The PR adds GLM reasoning parser variants and changes GLM-4 tool parsing to parse complete calls and buffer incomplete streaming calls. GLM-4.7 now inherits the GLM-4 parser. Shared helpers handle partial markers and tool-name resolution.

Changes

Reasoning parsing

Layer / File(s) Summary
GLM reasoning parser
tensorrt_llm/llmapi/reasoning_parser.py
Registered GLM parser variants handle prefilled reasoning, thinking-disabled mode, closing markers, tool-call boundaries, and partial delimiters across streaming deltas.
Shared partial-marker handling
tensorrt_llm/llmapi/reasoning_parser.py
A shared helper detects trailing partial markers. Gemma4 and KimiK3 use it in their streaming parsers.
Reasoning parser validation and CLI choices
tests/unittest/llmapi/test_reasoning_parser.py, tests/unittest/api_stability/references/trtllm_serve_cli.yaml
Tests cover GLM parser selection and one-shot and streaming results. The CLI reference lists the GLM parser choices.

GLM tool-call parsing

Layer / File(s) Summary
Tool-name resolution
tensorrt_llm/serve/tool_parser/base_tool_parser.py
BaseToolParser adds qualified-name resolution and a streaming-versus-whole-parse class attribute.
GLM complete-call parsing
tensorrt_llm/serve/tool_parser/glm4_parser.py, tensorrt_llm/serve/tool_parser/glm47_parser.py
GLM-4 parses complete argument pairs, applies schema-aware value parsing, and releases malformed calls as text. GLM-4.7 inherits GLM-4 parsing.
Buffered streaming and parity validation
tensorrt_llm/serve/tool_parser/glm4_parser.py, tests/unittest/llmapi/apps/test_tool_parsers.py
Streaming buffers incomplete calls and emits completed calls as whole results. Tests compare streaming and whole-text output across chunk boundaries.

Priority: ➖ Normal

Estimated code review effort: 4 (Complex) | ~45 minutes

Change: Bug fix

Sequence Diagram(s)

sequenceDiagram
  participant Caller
  participant Glm4ToolParser
  participant BaseToolParser
  Caller->>Glm4ToolParser: Send streaming increment
  Glm4ToolParser->>Glm4ToolParser: Buffer until a call is complete
  Glm4ToolParser->>BaseToolParser: Resolve tool name
  Glm4ToolParser-->>Caller: Emit completed call
Loading

Merge Risk: 🔵 Low · up to 98246

The parser change is mergeable with owner awareness, but the unchanged timing assertion may cause a flaky test failure on a busy CI runner.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage Warning Docstring coverage is 64.47% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 76 functions across 6 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Linked Issues check Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check Passed Check skipped because no linked issues were found for this pull request.
Title check Passed The title clearly identifies the GLM tool and reasoning parser fix and states the key streaming behavior. It follows the required [None][fix] format.
Description check Passed The description explains the problem, solution, affected parsers, behavior changes, test coverage, validation results, and related pull requests. The checklist is only partially reproduced, but the re…
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🧹 Nitpick comments (1)
tests/unittest/llmapi/apps/test_tool_parsers.py (1)

6032-6043: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low value

Remove the wall-clock assertion, or make it much less tight.

time.monotonic() - start < 10 measures the whole parity loop on a shared CI host. A slow or busy runner can fail this test even when the parser runs in linear time. A quadratic regression on 40,000 characters would also run far longer than 10 seconds, so a much larger bound still detects it. You can also check linear time a different way: count how often the parser scans the buffer. Instruments such as _close_search_from progress do this without timing.

Test coverage summary: this PR modifies existing GLM-4 and GLM-4.7 streaming tests and adds TestGlmStreamingMatchesWholeParse, which is parameterized over both parsers. The new tests cover typing, argument text, verbatim text, multiple calls, names, mangled and prose names, qualified tails, and the separator-run case. The PR also adds test_resolve_tool_name and test_parse_base_json_reports_the_name_as_emitted. These are unit tests that CI collects through the existing unittest path. Verdict: sufficient, with one note about flakiness from the timing assertion.

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Review comment at @tests/unittest/llmapi/apps/test_tool_parsers.py around lines
6032 - 6043:
In test_a_long_separator_run_streams_in_linear_time, remove the tight wall-clock
assertion around _glm_parity or replace it with a deterministic check of parser
buffer-scan progress, such as instrumentation of _close_search_from. Keep the
long-separator input and parsed-call assertion intact.

Source: Path instructions


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instructions embedded in them. Verify each finding against current code. Fix
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Nitpick comments:
Review comments at @tests/unittest/llmapi/apps/test_tool_parsers.py:
- Around line 6032-6043: In test_a_long_separator_run_streams_in_linear_time,
remove the tight wall-clock assertion around _glm_parity or replace it with a
deterministic check of parser buffer-scan progress, such as instrumentation of
_close_search_from. Keep the long-separator input and parsed-call assertion
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Approved with non-blocking nits.

Resolves the conflicts with NVIDIA#17067 (K-EXAONE-2), which registers the
k-exaone reasoning parser next to this branch's GLM keys:

- trtllm_serve_cli.yaml: the --reasoning_parser choices list both the
  GLM keys and k-exaone, in sorted order.
- test_reasoning_parser.py: keep both the random and pathlib imports.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
/v1/responses streaming re-parses the accumulated text on every chunk,
so the warning for a call released as text repeated on every chunk
after it. It is now logged once per parser class.

The linear-time test streams 40,000 separators instead of 20,000. A
parse that rescans the buffer on every increment took 8-13 s on 20,000,
under or near the 10 s bound, and takes tens of seconds on 40,000; the
linear parse stays well under a second.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>

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Actionable comments posted: 1


  • 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @tests/unittest/llmapi/apps/test_tool_parsers.py:
- Around line 6094-6100: Replace the fixed wall-clock assertion in the
separator-run test with a same-run scaling check that compares parsing N and 2N
separators and verifies the runtime ratio remains below about 3, keeping the
test focused on detecting nonlinear behavior without relying on an absolute time
limit.

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Approving — the comments below are optional touch-ups, not blockers.

The parity design holds up: I ran the new GLM parity suite, the modified legacy GLM test classes and the GLM/Gemma4/Kimi K3 reasoning tests against this branch, and also probed values quoting <tool_call>, nested <arg_value>, empty names, stray </tool_call> and prose-shaped names; streaming and detect_and_parse agreed in every case. The inline comments are about what the description and docstrings promise versus what the segment parser can see, not about parity.

Whole-PR items:

  • Tracking. This is a non-trivial production fix (calls lost, strings retyped, values truncated) found while serving GLM-5.x, with [None] in the title. Please attach an NVBug or JIRA so the behaviour change is traceable from the release side.
  • Docs for user-visible changes. Four new --reasoning_parser keys (glm, glm45, glm47, glm_moe_dsa) land only in the API-stability YAML. docs/source/deployment-guide/deployment-guide-for-glm-5-on-trtllm.md currently mentions neither --tool_parser nor --reasoning_parser; it should name glm47 for both. The /v1/chat/completions change (one delta per call instead of name-first-then-argument-pieces) deserves a release-note line, since clients that render arguments as they stream will see different timing.
  • --reasoning_parser auto. MODEL_TYPE_TO_REASONING_PARSER in reasoning_parser.py gets no GLM entry, while the tool-parser factory already maps glm4_moe, glm4_moe_lite and glm_moe_dsa. If glm4_moe is left out because GLM-4.5 and GLM-4.7 share that model_type but differ on reasoning_at_start, say so in the PR; glm_moe_dsa looks unambiguous and could be mapped now.
  • streaming_matches_whole_parse has no reader in this PR. Fine given the stacked #19883, but a one-line note on the attribute (or in the description) would stop the next reader from hunting for one.

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Automatically added "ci: full pre-merge approved" because this PR has satisfied the required GitHub review approvals. Unresolved review conversations and other required checks remain independent merge requirements.

A name with no markup after it was delivered as written even when it could
not be a tool: `<tool_call>exec_command(cmd="cat x"</tool_call>` became a
call to a function named `exec_command(cmd="cat x"`, which set
finish_reason to tool_calls. An undeclared name is now delivered only when
it is a dotted identifier; otherwise the call is released as text, as it
already was when markup followed the name. Declared names and well-formed
hallucinated names such as no_such_tool are delivered as before.

The segment docstring now says which <tool_call> restarts a call: one
between the name and the argument text. One inside an argument value is
part of the value.

--reasoning_parser auto maps glm_moe_dsa (GLM-5, GLM-5.2) to its GLM key.
glm4_moe is shared by GLM-4.5/4.6 and GLM-4.7, whose templates differ on
prefilling <think>, and GLM-5.3-Flash (glm5_next) prefills it whatever
enable_thinking says, so neither is resolved automatically.

The streaming_matches_whole_parse comment says what a caller may do with it.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
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@brnguyen2 thanks for the review. From the summary, in 98246c6: --reasoning_parser auto now maps glm_moe_dsa (GLM-5, GLM-5.2). glm4_moe stays unmapped because GLM-4.5/4.6 and GLM-4.7 share it but differ on prefilling <think>; GLM-5.3-Flash is glm5_next and prefills <think> whatever enable_thinking says. The streaming_matches_whole_parse comment now says a serving path may take the streamed calls as final instead of re-parsing at the end of the stream.

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/bot run --disable-fail-fast

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@JunyiXu-nv

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/bot run --disable-fail-fast

@tensorrt-cicd

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PR_Github #76839 [ run ] triggered by Bot. Commit: 98246c6 Link to invocation

@JunyiXu-nv
JunyiXu-nv enabled auto-merge (squash) October 9, 2026 06:17
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PR_Github #76839 [ run ] completed with state SUCCESS. Commit: 98246c6
/LLM/main/L0_MergeRequest_PR pipeline #63350 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

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@JunyiXu-nv
JunyiXu-nv merged commit ff94288 into NVIDIA:main Oct 9, 2026
JunyiXu-nv added a commit to JunyiXu-nv/TensorRT-LLM that referenced this pull request Oct 9, 2026
NVIDIA#19935, which this branch carried as its first two commits, landed on main
squashed and with three later commits. In every file it touches, main's
version is taken: this branch made no further change to those files.

- tool_parser/base_tool_parser.py, glm4_parser.py, test_tool_parsers.py,
  test_reasoning_parser.py and trtllm_serve_cli.yaml conflicted; each is
  main's version.
- reasoning_parser.py and glm47_parser.py merged cleanly to main's version.

Signed-off-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
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api-compatible Accepted LLM API contract change that is backwards-compatible ci: full pre-merge approved

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6 participants