fix(anthropic): preserve inline system message position for prefix caching#44602
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Ready for review — could a maintainer add the |
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| """Convert Anthropic messages to OpenAI format""" | ||
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| def _extract_system_text(msg) -> str | None: |
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Please convert this method into a class method by adding @classmethod.
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@chaunceyjiang @chaunceyjiang Done. I've converted it to a class method
| openai_messages.append({"role": "system", "content": "".join(system_parts)}) | ||
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| @classmethod | ||
| def _extract_system_text(cls, msg) -> str | None: |
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@chaunceyjiang Done. I've converted it to a class method
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@chaunceyjiang Thanks for the reminder. DCO fixed
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LGTM |
| if msg.role == "system": | ||
| text = cls._extract_system_text(msg) | ||
| if text: | ||
| openai_messages.append({"role": "system", "content": text}) |
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In fact, after this change, the Qwen3.5/Qwen3.6 series models will no longer be supported.
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@chaunceyjiang This change is meant to preserve prefix caching for Anthropic clients like Claude Code that send system messages mid-conversation. The conflict with Qwen's chat template is a template-level limitation — Qwen expects system to appear only at the beginning — and that should be addressed by updating the Qwen template to handle non-leading system messages, not by compromising the conversion layer for all users.
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This will impact not only Qwen models - even though many models may allow system messages at any position in the message list it doesn't mean those models were trained on system messages that come after user messages in a conversation. Most are not trained on this kind of data, and expect the system messages (even if more than 1) to come before the user messages.
Are we aware of any open weight model specifically trained on system messages that appear later in a conversation? This feels like we're trading KV cache efficiency for worse overall trajectories in these agentic workflows.
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@bbrowning
Anecdotally, we're running GLM-5.1 and Deepseek-v4 in PD-disaggregated setups with inline system messages preserved, and we haven't observed degraded output quality compared to merging them to the front. The trajectories appear consistent.
This suggests the "training gap" may be narrower than assumed — at least for these models, the capability seems to exist even if it wasn't explicitly optimized for.
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@bbrowning
But this matters beyond just quality — it directly impacts deployment architecture.
With PD disaggregation and pooling becoming the standard deployment pattern, the prefill node's value is almost entirely in prefix cache hits. In agentic workflows, 99% of the conversation prefix is identical across requests — the system prompt and prior turns rarely change. If merging inline system messages to the front invalidates the prefix, the prefill node essentially loses its purpose, and the whole PD architecture becomes unusable for these workloads.
So the trade-off is not just "cache vs quality" — it's whether PD-pooled deployments can serve agentic Anthropic clients at all.
That said, I don't want to dismiss the training-distribution concern. The question is whether a universal merge is the right default, or if deployers should be able to choose based on their model and infrastructure.
I'm happy to add an opt-in mechanism to this PR, or follow up with a separate one — whichever the maintainers prefer. For example, enable_inline_system_merge defaulting to true for backward compatibility: deployers running Qwen keep it enabled, those serving Claude Code with PD separation can disable it and preserve prefix cache viability.
Does that approach work?
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@bbrowning @dr75 Thanks for the review and accepting the approach. Happy to follow up with the opt-in merge flag separately if needed. Let me know if anything else is needed to get this merged.
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Backward compatibility is very necessary, so I have always believed that merging by default into the top level and retaining mid-system-prompt when the flag is enabled seems to be the most reasonable solution. This way, at least all models can support claude, and for large-scale deployment, users can be required to explicitly enable the flag to ensure the highest kvcache efficiency
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@bbrowning I’m inclined to merge this PR, since this is a Qwen-specific issue.
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@chaunceyjiang Friendly ping — just wanted to check if there's anything else needed to move this forward. Thanks!
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@chaunceyjiang All checks are green now — ready to go. Thanks!
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This pull request has merge conflicts that must be resolved before it can be |
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Hi @felix0080, the pre-commit checks have failed. Please run: uv pip install pre-commit>=4.5.1
pre-commit install
pre-commit run --all-filesThen, commit the changes and push to your branch. For future commits, |
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Hi @felix0080, the pre-commit checks have failed. Please run: uv pip install pre-commit>=4.5.1
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pre-commit run --all-filesThen, commit the changes and push to your branch. For future commits, |
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Hi @felix0080, the pre-commit checks have failed. Please run: uv pip install pre-commit>=4.5.1
pre-commit install
pre-commit run --all-filesThen, commit the changes and push to your branch. For future commits, |
…ching PR vllm-project#44283 merged all inline system:role messages into a single leading system message, which changes the conversation prefix and breaks KV-cache hits in multi-turn dialogues. This fix keeps inline system messages at their original position: - Remove inline system extraction from _convert_system_message (only top-level system is handled there) - In _convert_messages, handle system messages with a dedicated _extract_system_text helper that strips billing headers and only emits the message if real content exists — avoiding the _convert_block / _convert_message_content path which does not strip billing headers and may omit the "content" key - Add tests for billing header stripping on inline system messages Unlike vllm-project#44048 which moves the same merge logic to the protocol layer, this approach fundamentally avoids the prefix-breaking merge entirely. Co-authored-by: Hermes Agent Signed-off-by: felix0080 <felix0080@users.noreply.github.com>
Per maintainer review feedback. Signed-off-by: felix0080 <felix0080@users.noreply.github.com>
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LGTM |
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I'm ok to merge this, but would like a fast follow-up ready to fix the issues with Qwen (or similar) models that cannot handle multiple system messages. I'm not sure of the best approach there - maybe we construct some messages with system -> user -> system turns, feed it into the chat template, and if it blows up set a flag that tells us to collapse for this model? We have a lot of users that use the Messages API with Qwen models of various sorts, so I'd like us to minimize the time we break them. |
@bbrowning @chaunceyjiang Thanks for approving. Sounds good — I'll submit a follow-up PR with auto-detection once this is merged. |
…tem messages When the chat template requires system-first ordering (e.g., Qwen3.5/3.6 with its loop.first guard), inline system messages preserved at their original position by vllm-project#44602 would be rejected at template render time. This adds auto-detection: a [system, user, system, user] conversation is rendered against the template at init time. The detection covers three scenarios: - Template raises → merge inline system into top-level block (compatible with Qwen and similar models) - Template succeeds → preserve inline system in-place (optimal prefix caching for models that support it) - No template → conservative default: merge No flag or configuration needed. Co-authored-by: Hermes Agent Signed-off-by: felix0080 <felix0080@users.noreply.github.com>
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Follow-up PR is now ready: #46025 — auto-detects template support for mid-conversation system messages so Qwen and similar models are automatically compatible. |
…ching (vllm-project#44602) Signed-off-by: felix0080 <felix0080@users.noreply.github.com> Co-authored-by: felix0080 <felix0080@users.noreply.github.com>
…tem messages When the chat template requires system-first ordering (e.g., Qwen3.5/3.6 with its loop.first guard), inline system messages preserved at their original position by vllm-project#44602 would be rejected at template render time. This adds auto-detection: a [system, user, system, user] conversation is rendered against the template at init time. The detection covers three scenarios: - Template raises → merge inline system into top-level block (compatible with Qwen and similar models) - Template succeeds → preserve inline system in-place (optimal prefix caching for models that support it) - No template → conservative default: merge No flag or configuration needed. Co-authored-by: Hermes Agent Signed-off-by: felix0080 <felix0080@users.noreply.github.com>
…tem messages When the chat template requires system-first ordering (e.g., Qwen3.5/3.6 with its loop.first guard), inline system messages preserved at their original position by vllm-project#44602 would be rejected at template render time. This adds auto-detection: a [system, user, system, user] conversation is rendered against the template at init time. The detection covers three scenarios: - Template raises → merge inline system into top-level block (compatible with Qwen and similar models) - Template succeeds → preserve inline system in-place (optimal prefix caching for models that support it) - No template → conservative default: merge No flag or configuration needed. Co-authored-by: Hermes Agent Signed-off-by: felix0080 <felix0080@users.noreply.github.com>
…ching (vllm-project#44602) Signed-off-by: felix0080 <felix0080@users.noreply.github.com> Co-authored-by: felix0080 <felix0080@users.noreply.github.com> Signed-off-by: divineearthly <divineearthly@gmail.com>
…stem merge
When a client (e.g. Claude Code) appends a system message to the
messages array of a /v1/messages request, the Anthropic compatibility
layer could trigger a full prompt recompute (observed as a ~75s TTFT
spike) because the entire prefix-cache block chain is invalidated
from the system block onward.
Root cause: AnthropicServingMessages.__init__ calls
_detect_merge_inline_system(chat_template) with the raw --chat-template
arg, which is None by default. The detector returns True ("merge inline
system into the leading block") whenever the template is falsy — even for
templates like GLM that already accept mid-conversation system messages.
That merge hoists the trailing system message into the leading system
block, changing tokens from offset 0 onward and breaking the chained
block hash, so every subsequent block's hash changes and a full recompute
is required.
Builds on vllm-project#44283 / vllm-project#44602 / vllm-project#46025, which introduced the
merge-vs-inplace switch but defaulted to the conservative (merge) path.
This closes the gap: resolve the model's actual chat template (via
resolve_chat_template, the same call the renderer uses) before deciding,
so GLM-like templates are treated as "no merge" and a trailing system
message no longer destroys the prefix.
Changes:
- __init__: when chat_template is None, resolve the model's actual
template via resolve_chat_template(tokenizer, None, None,
model_config=...) (tokenizer from self.renderer.tokenizer), then feed
that to _detect_merge_inline_system. Falls back to the existing
conservative behavior only when no template can be resolved.
- _detect_merge_inline_system: import jinja2.sandbox / jinja2.ext
explicitly (the package __init__ does not pull them in, so
jinja2.sandbox.ImmutableSandboxedEnvironment only worked when something
else had imported the submodule). Broadened the catch to
except Exception so malformed/non-template input falls back cleanly.
- tests: add test_glm_template_does_not_merge.
Co-Authored-By: Claude <noreply@anthropic.com>
…stem merge
When a client (e.g. Claude Code) appends a system message to the
messages array of a /v1/messages request, the Anthropic compatibility
layer could trigger a full prompt recompute (observed as a ~75s TTFT
spike) because the entire prefix-cache block chain is invalidated
from the system block onward.
Root cause: AnthropicServingMessages.__init__ calls
_detect_merge_inline_system(chat_template) with the raw --chat-template
arg, which is None by default. The detector returns True ("merge inline
system into the leading block") whenever the template is falsy — even for
templates like GLM that already accept mid-conversation system messages.
That merge hoists the trailing system message into the leading system
block, changing tokens from offset 0 onward and breaking the chained
block hash, so every subsequent block's hash changes and a full recompute
is required.
Builds on vllm-project#44283 / vllm-project#44602 / vllm-project#46025, which introduced the
merge-vs-inplace switch but defaulted to the conservative (merge) path.
This closes the gap: resolve the model's actual chat template (via
resolve_chat_template, the same call the renderer uses) before deciding,
so GLM-like templates are treated as "no merge" and a trailing system
message no longer destroys the prefix.
Changes:
- __init__: when chat_template is None, resolve the model's actual
template via resolve_chat_template(tokenizer, None, None,
model_config=...) (tokenizer from self.renderer.tokenizer), then feed
that to _detect_merge_inline_system. Falls back to the existing
conservative behavior only when no template can be resolved.
- _detect_merge_inline_system: import jinja2.sandbox / jinja2.ext
explicitly (the package __init__ does not pull them in, so
jinja2.sandbox.ImmutableSandboxedEnvironment only worked when something
else had imported the submodule). Broadened the catch to
except Exception so malformed/non-template input falls back cleanly.
- tests: add test_glm_template_does_not_merge.
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: Stardust-minus <stardust@fish.audio>
…stem merge
When a client (e.g. Claude Code) appends a system message to the
messages array of a /v1/messages request, the Anthropic compatibility
layer could trigger a full prompt recompute (observed as a ~75s TTFT
spike) because the entire prefix-cache block chain is invalidated
from the system block onward.
Root cause: AnthropicServingMessages.__init__ calls
_detect_merge_inline_system(chat_template) with the raw --chat-template
arg, which is None by default. The detector returns True ("merge inline
system into the leading block") whenever the template is falsy — even for
templates like GLM that already accept mid-conversation system messages.
That merge hoists the trailing system message into the leading system
block, changing tokens from offset 0 onward and breaking the chained
block hash, so every subsequent block's hash changes and a full recompute
is required.
Builds on vllm-project#44283 / vllm-project#44602 / vllm-project#46025, which introduced the
merge-vs-inplace switch but defaulted to the conservative (merge) path.
This closes the gap: resolve the model's actual chat template (via
resolve_chat_template, the same call the renderer uses) before deciding,
so GLM-like templates are treated as "no merge" and a trailing system
message no longer destroys the prefix.
Changes:
- __init__: when chat_template is None, resolve the model's actual
template via resolve_chat_template(tokenizer, None, None,
model_config=...) (tokenizer from self.renderer.tokenizer), then feed
that to _detect_merge_inline_system. Falls back to the existing
conservative behavior only when no template can be resolved.
- _detect_merge_inline_system: import jinja2.sandbox / jinja2.ext
explicitly (the package __init__ does not pull them in, so
jinja2.sandbox.ImmutableSandboxedEnvironment only worked when something
else had imported the submodule). Broadened the catch to
except Exception so malformed/non-template input falls back cleanly.
- tests: add test_glm_template_does_not_merge.
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: Stardust-minus <stardust@fish.audio>
…ching (vllm-project#44602) Signed-off-by: felix0080 <felix0080@users.noreply.github.com> Co-authored-by: felix0080 <felix0080@users.noreply.github.com>
…ching (vllm-project#44602) Signed-off-by: felix0080 <felix0080@users.noreply.github.com> Co-authored-by: felix0080 <felix0080@users.noreply.github.com>
…stem merge
When a client (e.g. Claude Code) appends a system message to the
messages array of a /v1/messages request, the Anthropic compatibility
layer could trigger a full prompt recompute (observed as a ~75s TTFT
spike) because the entire prefix-cache block chain is invalidated
from the system block onward.
Root cause: AnthropicServingMessages.__init__ calls
_detect_merge_inline_system(chat_template) with the raw --chat-template
arg, which is None by default. The detector returns True ("merge inline
system into the leading block") whenever the template is falsy — even for
templates like GLM that already accept mid-conversation system messages.
That merge hoists the trailing system message into the leading system
block, changing tokens from offset 0 onward and breaking the chained
block hash, so every subsequent block's hash changes and a full recompute
is required.
Builds on vllm-project#44283 / vllm-project#44602 / vllm-project#46025, which introduced the
merge-vs-inplace switch but defaulted to the conservative (merge) path.
This closes the gap: resolve the model's actual chat template (via
resolve_chat_template, the same call the renderer uses) before deciding,
so GLM-like templates are treated as "no merge" and a trailing system
message no longer destroys the prefix.
Changes:
- __init__: when chat_template is None, resolve the model's actual
template via resolve_chat_template(tokenizer, None, None,
model_config=...) (tokenizer from self.renderer.tokenizer), then feed
that to _detect_merge_inline_system. Falls back to the existing
conservative behavior only when no template can be resolved.
- _detect_merge_inline_system: import jinja2.sandbox / jinja2.ext
explicitly (the package __init__ does not pull them in, so
jinja2.sandbox.ImmutableSandboxedEnvironment only worked when something
else had imported the submodule). Broadened the catch to
except Exception so malformed/non-template input falls back cleanly.
- tests: add test_glm_template_does_not_merge.
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: Stardust-minus <stardust@fish.audio>
…ching (vllm-project#44602) Signed-off-by: felix0080 <felix0080@users.noreply.github.com> Co-authored-by: felix0080 <felix0080@users.noreply.github.com>
Problem
PR #44283 merged all inline
role: systemmessages from the messages array into a single leading system message. This changes the conversation prefix, breaking KV-cache hits in multi-turn dialogues.#44048 (currently open) moves the same merge logic to the protocol layer but retains the same prefix-breaking behavior.
Example of the problem
Fix
_convert_system_message— only handle top-level system field there_convert_messages, handle system messages with a dedicated_extract_system_texthelper that:x-anthropic-billing-headerfrom inline system messages (previously only done for top-level){"role": "system"}messages that_convert_blockcould produce)Why this approach
_convert_block/_convert_message_contentRelated
Test Plan
(AI assistance was used; I reviewed every changed line.)