fix(trtllm): stop a configured --context-length being silently discarded - #14450
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`TrtllmSidecarEngine::start` overwrote the configured `--context-length` with whatever `GetModelInfo` reported, for any positive value. Some TensorRT-LLM releases populate `GetModelInfoResponse.max_seq_len` with `max_input_len` (1024) rather than the real maximum sequence length, so an operator who configured 4096 silently got 1024. A request that omits `max_tokens` then derives its default as `max(1, context_length - prompt_len)`, which floors at one token once the prompt exceeds the under-reported value, and the same wrong number is registered as the model's context length. An explicitly supplied `--context-length` (or `TRTLLM_CONTEXT_LENGTH`) is now authoritative. The engine-reported value is adopted only when the argument was omitted, and a genuine disagreement emits a WARN naming both values and which one takes effect. The pre-existing WARN for a failed `GetModelInfo` RPC is unchanged, and `from_parsed` already rejects `--context-length 0`, so an authoritative value can never be zero. The new regression test drives the real engine against the in-crate fake gRPC server, which reports `max_seq_len: 4096`, with a configured 8192. It asserts both observable consequences: the registered context length in the returned `EngineConfig`, and the `max_tokens` on the `GenerateRequest` the server actually recorded. Both fail on the previous behavior, with 4096 and 4093. Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
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Automated evidence record — validation completeEvidence summary: 2/2 validated. AI review assessment: sound — advisory only. This is an automated agent's judgment of whether the change is logically consistent with the code and the recorded results. It is not an approval; repository CI and human reviewers decide whether this merges. Validation result: complete — pass. Evidence audit: complete, 2/2 validated. The command report below comes from recorded runs. Commands and results [2/2 validated]Generated from the commands recorded during this run. Check 1Checks the changed files with the repository's fast lint and formatting commands. Result: Passed ( Command: Not shown because the exact command contained private run data. Check 2Checks the changed Rust crates with Result: Passed ( Command:
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review.md
Review — TensorRT-LLM sidecar: an explicit
|
model.context_length |
reported |
Arm taken | Resolved value | WARN |
|---|---|---|---|---|
Some(c) |
Some(r), c != r |
first arm (guard true) | Some(c) — configured |
yes, the new one |
Some(c) |
Some(r), c == r |
guard fails, falls through to _ |
Some(c) — identical to r |
no |
None |
Some(r) |
(None, Some(reported)) |
Some(r) — adopted, as before |
no |
Some(c) |
None (engine reported 0) |
_ |
Some(c) |
no |
None |
None |
_ |
None, OnceCell left unset |
no |
| any | Err from the RPC |
reported is None; then rows 4 or 5 |
unchanged from before | the pre-existing RPC warning only |
Two details are worth stating because they are easy to get wrong in this shape and the
change gets both right. First, a failed match guard in Rust falls through to the following
arms rather than to the arm body, so the equal-values case really does reach _ => {}
and really does emit no warning — an operator who configures the same number the engine
reports gets no new log noise. Second, an unrepresentable or non-positive max_seq_len
never reaches this block as Some: client.rs:73 is
Ok(u32::try_from(info.max_seq_len).ok().filter(|len| *len > 0)), so "the engine reported
nothing" and "the engine reported zero" are already the same case, and the new code needs no
extra guard for it. The error branch is behaviourally identical to the old error arm — it
warns and assigns nothing — so the only behaviour that changed is row 1.
An authoritative configured value can never be 0, because from_parsed rejects it at
engine.rs:80-84 with context-length must be greater than zero.
The stated intent is satisfied, including the environment-variable spelling
args.rs:27 is #[arg(long, env = "TRTLLM_CONTEXT_LENGTH")] over
pub context_length: Option<u32>. Clap fills that one Option from either the flag or the
environment variable and gives the callee no way to distinguish them, so Some(_) means
"the operator expressed a value" under both spellings and the new precedence applies to both.
There is no separate code path that could treat the environment variable differently. The
WARN message names the flag rather than the variable, which is the right canonical name
for a message that has to pick one.
The three properties asked for are each present: configured wins (row 1), the engine value is
adopted only when the argument is absent (row 3), and a genuine disagreement produces a WARN
carrying both numbers as structured fields plus a sentence saying which one takes effect.
Startup is not refused and neither value is clamped or minimised, which keeps the change
conservative.
The second consequence is fixed, not just the max_tokens symptom
Both consequences flow from the single local model. engine.rs:166-168 sets the
context_length OnceCell that generate passes to build_generate_request at
engine.rs:193, and engine.rs:179 returns model.engine_config(), which is what puts
context_length into LlmRegistration at model.rs:30-35. Both read the same variable
after the same block, so they cannot diverge, and correcting the block corrects both. The
new test asserts each of them separately, which is the right way to demonstrate it.
Equally important is what was not done: convert::max_tokens is untouched. Clamping the
derived value there would have hidden the one-token response while still publishing the wrong
number to the frontend. The two existing derivation tests
(omitted_max_tokens_defaults_to_remaining_context, omitted_max_tokens_default_is_floored_at_one)
are unmodified.
The new test discriminates; it is not tautological
configured_context_length_overrides_the_engine_report at lib/sidecar/trtllm/src/tests.rs:645-668
stands up the crate's in-process fake trtllm.TrtllmService, whose get_model_info returns
max_seq_len: 4096 (tests.rs:144-154), builds the engine with a configured 8192, calls
start, then issues one generation with stop_conditions.max_tokens set to None.
I applied the revert test: with the production change reverted, start would assign
Some(4096), so tests.rs:652 fails, and the OnceCell would carry 4096, so
convert::max_tokens would derive 4096 - 3 = 4093 and tests.rs:667 fails. Neither
assertion can pass against the unmodified code.
The second assertion is the stronger one and it does what the change description claims. It
reads sent.max_tokens off the GenerateRequest the fake server actually recorded, reached
through generate → build_generate_request → convert::max_tokens — the real request the
engine would have received, which is where the truncated response came from — rather than
reading back the EngineConfig field the diff had just written. The 3 in 8192 - 3 = 8189
is the token_ids(vec![11, 22, 33]) in the shared request() helper at tests.rs:215-218,
so the arithmetic is real and not a restatement of a constant.
I did not re-run the suite. I did check the reported evidence against the file, and it holds
up: the reported pre-fix failure quotes a panic at tests.rs:652 with left: Some(4096),
right: Some(8192), and 652 is exactly the line of the first assertion in the committed
tree. A second reported run, with the first assertion neutralised so it could not shadow the
second, panics with left: 4093, right: 8189. 4093 is the value the derivation produces
from the engine's 4096, which is only reachable if the engine value really did win. Running
the test once against the original behaviour before recording the passing run is the right
discipline, and doing it twice so the second assertion is shown to discriminate independently
is more than the minimum.
The helper refactor is behaviour-preserving: engine(endpoint, connections) at tests.rs:258-260
now delegates to engine_with_context_length(endpoint, connections, None), and None is
exactly the literal the old body passed. No existing call site's arguments or behaviour moved.
The negative control is genuinely unmodified
aggregated_generation_streams_delta_then_terminal at tests.rs:614-643 is untouched by the
diff — the only hunk in that region is a pure addition after the test's closing brace. It still
calls engine(&server.endpoint, 2) with no configured context length and still asserts
config.llm.unwrap().context_length == Some(4096), the engine's report. That is the
omitted-argument branch (row 3 above), and its passing is what shows the change narrowed the
adoption rule rather than inverting it. The reported run lists it as ok alongside the new
test in the same 20-test green run.
Documentation matches the code, and nothing else in the tree contradicts it
I swept the repository for every place that describes this argument, not only the ones the
diff touches:
args.rs:19-26— the clap--helptext now states the precedence, that the report is used
only when the argument is omitted, and that a disagreement is logged atWARN. Accurate.launch/agg.sh:42— now readsModel context length; overrides what the engine reports (default: 4096). Accurate for this launcher, which always passes the flag.model.rs:13-15— theConfiguredModel::context_lengthdoc comment now orders the two
sources. Accurate.engine.rs:142-147— the block comment previously documented the opposite precedence and
had to be rewritten; it was, and the new text is correct.engine.rs:36-38— thecontext_lengthfield doc already read
"--context-length, elseGetModelInfo". That ordering was wrong before this change and
is right now. No edit needed; worth noting because it is the kind of pre-existing comment a
precedence change usually falsifies, and here it does the opposite.deploy/agg.yaml:118-123— the example's comment says the engine reports0and the value
must be set here. Still true, correctly left alone.lib/sidecar/trtllm/README.md,lib/sidecar/README.md, and the four docs-site pages that
mentiondynamo-trtllm-sidecar— none of them mentions the context-length argument at all,
so none of them can now be contradicting the code.convert.rs:85-86is the one remaining stale sentence. See finding 1.
Scope and repository conventions
The diff is five files, all under lib/sidecar/trtllm/, +66 / -13. It matches the plan's
scope: no change to convert::max_tokens, no change to client::model_info, no new flag, no
new crate dependency, no touch to the vLLM or SGLang sidecars or the in-process Python
TensorRT-LLM backend. No generated artifact is edited — CODEOWNERS and the generated docs
are untouched, and no new directory is added that would need an ownership entry. The single
commit carries a Conventional Commit subject, fix(trtllm): honor an explicit --context-length over GetModelInfo, and a Signed-off-by: trailer matching the author. I searched the working
tree for the internal ticket identifier and found no occurrence, in the tree or the commit
message. The packet's change.diff is byte-identical to git show 643c0623f.
The two gaps the validation flagged
No shell linter. I confirmed this independently: .pre-commit-config.yaml contains no
shellcheck, shfmt, or bashate entry, and nothing under .github/ references
shellcheck. So the statement is a fact about the repository rather than an omission in this
change. It carries close to no risk here, because the edit replaces one string literal inside
an existing echo and introduces no new quoting, expansion, or control flow. bash -n lib/sidecar/trtllm/launch/agg.sh exits 0. There is nothing for the author to do about it.
No test asserts the WARN. I agree this should not block, and I would put it slightly
more strongly than the validation does. The warning arm is not merely "surrounded" by tested
code — the new test hits that exact arm, since 8192 != 4096, and its behavioural
consequence, that model.context_length is left alone, is what both assertions verify. What
is untested is only the message text and the fact that a line was emitted. No code parses that
message, so an assertion over it would pin prose: it would fail when somebody improves the
wording and at no other time, and it would cost a tracing capture dev-dependency the crate
does not have to buy that. Leaving it out is the better call, and the change description says
so explicitly rather than quietly.
Findings
| # | Location | Severity | Claim | Evidence |
|---|---|---|---|---|
| 1 | lib/sidecar/trtllm/src/convert.rs:86 |
nit | The comment still asserts GetModelInfo returns zero on current releases, which is the belief this change exists to correct. |
The same change updates args.rs:23-24 to say releases report "nothing usable (zero) or the maximum input length" and engine.rs:144-145 to say some releases report max_input_len. convert.rs:86 is the fourth site describing the same upstream behaviour and is the only one left carrying the incomplete version. Nothing depends on it, so this is a one-clause tidy-up, not a defect. |
| 2 | lib/sidecar/trtllm/launch/agg.sh:103 |
nit | Because the launcher always passes --context-length "$TRTLLM_CONTEXT_LENGTH" with the default 4096 from line 65, a user of this launcher can no longer take an engine-reported context length at all. |
Under the previous precedence, a future TensorRT-LLM release that reports a model's real max_seq_len (for example 40960 for the launcher's default Qwen/Qwen3-0.6B) would have won over the launcher's 4096; under the new precedence it loses to it and only a WARN records the fact. Nothing regresses today — the installed release reports 0, as deploy/agg.yaml:120 and convert.rs:86 both record, so 4096 is already the effective value — and the new help text at agg.sh:42 states the override honestly. Passing the flag only when TRTLLM_CONTEXT_LENGTH was explicitly set would keep the opt-out, but that is a judgment call for the maintainer, not a defect in this diff. |
Neither finding is blocking. Both are optional follow-ups; the change is correct without them.
Summary
The fix is at the cause, not the symptom. The precedence logic is exhaustive and correct in
every state I could construct, including the two the caller singled out — the equal-values
case, which correctly emits nothing, and the GetModelInfo error case, which is byte-for-byte
the previous behaviour. The environment-variable spelling is covered because clap folds it
into the same Option. The regression test exercises the real engine against the crate's fake
gRPC server and fails on the unmodified code through the request the server records, which is
the observable the reported bug was made of; it is not a read-back of a field the diff set.
The omitted-argument branch is untouched and still green. The documentation edits are accurate
and I found no other text in the repository that now contradicts the code. The diff is
focused, signed off, and free of internal identifiers.
Assessment: sound
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WalkthroughThe TRTLLM sidecar now prioritizes explicitly configured context length values over TensorRT-LLM reports. It logs mismatches, preserves fallback behavior, updates documentation, and adds integration coverage for default ChangesTRTLLM context length resolution
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to When model-info lookup fails without a configured context length, startup can report a fallback that is not available, making configuration failures harder to diagnose. This is a bounded observability issue but should be corrected before relying on the warning. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@lib/sidecar/trtllm/src/engine.rs`:
- Line 148: Update the GetModelInfo failure handling around the fallback warning
to distinguish configured and missing context length: mention the configured
fallback only when a value exists, and otherwise log that no context length is
available. Preserve the existing error context and avoid claiming that
--context-length is used when unset.
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When GetModelInfo fails, the warning claimed the configured --context-length was in use even when none was configured. Log the configured value when it exists and say no context length is available otherwise. Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
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Round 1 addressed both open review findings in commit
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Precedence logic is correct — all four (configured, reported) combinations and the RPC-error path resolve right, and the new test asserts both the registration and the derived max_tokens.
Two things that don't fit on a changed line:
The description misdiagnoses the cause. Not "some releases" — grpc_servicer.py has answered max_seq_len with args.max_seq_len or args.max_input_len since the gRPC server's first commit (dbad94715, v1.3.0rc2+, unchanged through main). max_seq_len defaults to None and is never written back to llm.args on the PyTorch path; max_input_len defaults to 1024 and a validator forces it back. So every default PyTorch deployment reports 1024, unrelated to the model.
convert.rs:86-91 is wrong (can't comment inline, file unchanged). "GetModelInfo returns zero on current releases" is false given that or. And its removal plan — drop --context-length when TensorRT-LLM#16549 lands — would regress registration: the argument also feeds LlmRegistration.context_length (model.rs:31), which this fallback does not govern.
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/ok to test 4c5e0e3 |
`GetModelInfo` answers `max_seq_len` with `args.max_seq_len or args.max_input_len`. On the PyTorch path `max_seq_len` is unset and `max_input_len` holds its 1024 default, so an engine started without `--max_seq_len` reports 1024 for every model. The sidecar adopted that number whenever `--context-length` was absent, registering it as the served context window: `effective_context_length` prefers a registered runtime value over the architectural maximum, so the frontend then rejected every prompt at or above 1024 tokens. An equal `max_seq_len`/`max_input_len` pair is that fallback's signature. Treat such a report as absent and log it, leaving the frontend to fall back to the context length it reads from the model. A distinct pair means the engine was given an explicit `--max_seq_len` and is still adopted. Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
The script always passed `--context-length 4096` to the sidecar while telling the engine nothing, so `agg.sh --max_seq_len 2048` built a 2048-token engine and then registered 4096 with the frontend, which accepted prompts the engine cannot serve. Pass the context length to both sides instead. When the caller supplies `--max_seq_len`, theirs wins and the sidecar takes the engine's report rather than a default it was never told about. Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
The disagreement warning fires only when both sources exist and differ, so on the ordinary path nothing recorded which context length was in effect. Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
The note in `convert.rs` said `GetModelInfo` returns zero. It returns `max_input_len` when the engine has no `--max_seq_len`, which is why the report needs weighing rather than trusting, and `args.rs` pointed readers at that note. Its removal plan also proposed dropping `--context-length` once TensorRT-LLM#16549 lands. That argument feeds `LlmRegistration.context_length` as well as this fallback, so only the fallback can go. Record which routes actually reach it: the frontend defaults an omitted `max_tokens` itself except on the two that set `PRESERVE_OMITTED_MAX_TOKENS_CONTEXT_KEY`. Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
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Pushed The regression.
Side effect: the default case now has both sides on one number, so this PR's disagreement warning stops firing on every ordinary run. It previously fired every time, comparing the script's 4096 against the engine's substituted 1024. Why
Net: the two failing checks are pre-existing. |
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/ok to test 0fcd080 |
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/ok to test fcac2e6 |
…eing silently discarded (#14450) (#14683) Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com> Signed-off-by: tanmayv25 <tanmay2592@gmail.com> Signed-off-by: Yunzhou (David) Liu <232973175+yunzhoul-nv@users.noreply.github.com> Co-authored-by: tanmayv25 <tanmay2592@gmail.com> Co-authored-by: Tanmay Verma <tanmayv@nvidia.com>
Overview:
The TensorRT-LLM sidecar accepts a
--context-lengthargument (also settable asTRTLLM_CONTEXT_LENGTH), but threw it away at startup wheneverGetModelInforeported any positive value. Some TensorRT-LLM releases fillGetModelInfoResponse.max_seq_lenwith the maximum input length rather than the real maximum sequence length, so an operator who configured4096silently ran with1024. A request that omitsmax_tokensderives its default from that number, floored at1, so a longer prompt came back as a single token — and the same wrong number was registered with the frontend.Details:
TrtllmSidecarEngine::startnow resolves the engine report into a local value and decides afterwards, instead of assigning inside the match arm. A supplied--context-lengthwins; the engine report is adopted only when the argument is omitted; when the two disagree, aWARNnames both numbers and says which takes effect. Equal values log nothing. When the RPC fails outright there is no report to weigh, so the sidecar keeps whatever the argument supplied and theWARNnames that value — or, when no argument was supplied, says plainly that no context length is available rather than implying one is in use. Startup is never refused and no value is clamped.The
--helptext inargs.rsandlaunch/agg.shnow states that precedence.Where should the reviewer start?
lib/sidecar/trtllm/src/engine.rs— the precedence block instart. Thenconfigured_context_length_overrides_the_engine_reportinlib/sidecar/trtllm/src/tests.rs: it drives the engine against the crate's in-process fake gRPC server, which reports4096, with8192configured, and asserts both the registered context length (8192) and themax_tokenson the request the server actually received (8189).Validation
cargo test -p dynamo-trtllm-sidecarpasses (20 tests), andcargo fmt --all -- --check,cargo check --workspace --all-targetsandcargo clippy -p dynamo-trtllm-sidecar --all-targets -- -D warningsare clean. The new test was also run against the unmodified code, where it failed on both assertions.Related Issues
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Summary by CodeRabbit
New Features
Bug Fixes
Documentation