[TRTLLM-7292][feat] Support multi-threaded tokenizers for trtllm-serve (cherry-pick) #7776
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NVIDIA#7515) Signed-off-by: Yilin Fan <206948969+nv-yilinf@users.noreply.github.com>
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📝 WalkthroughWalkthroughIntroduces token-level preprocessing in tensorrt_llm/serve/openai_server.py by integrating prompt_inputs and input_processor. When prompts are dicts with "prompt", it computes prompt_token_ids and optional query_token_ids, wraps them in TokensPrompt, and passes as inputs to llm.generate_async for both streaming and non-streaming paths. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor C as Client
participant S as OpenAI Server
participant P as Input Processor (thread)
participant L as LLM
C->>S: request (prompt / messages)
S->>S: prompt_inputs(prompt)
alt prompt is dict with "prompt"
S->>P: process(prompt["prompt"])
Note over P,S: New: tokenize to prompt_token_ids (+ optional query_token_ids)
P-->>S: prompt_token_ids, extra_processed_inputs?
S->>S: build TokensPrompt(prompt_token_ids, query_token_ids?)
S->>L: generate_async(inputs=TokensPrompt, ...)
else no "prompt" field
S->>L: generate_async(inputs=original prompt, ...)
end
L-->>S: tokens / completion
S-->>C: stream or final response
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tensorrt_llm/serve/openai_server.py (1)
26-26: Use module-namespace import per project guidelines.Prefer importing the module and referencing the class via the module namespace.
Apply these diffs:
-from tensorrt_llm.inputs.data import TokensPrompt +from tensorrt_llm.inputs import data as inputs_data- tokens_prompt = TokensPrompt(prompt_token_ids=prompt_token_ids, query_token_ids=extra_processed_inputs.get("query_token_ids") if extra_processed_inputs is not None else None) + tokens_prompt = inputs_data.TokensPrompt( + prompt_token_ids=prompt_token_ids, + query_token_ids=extra_processed_inputs.get("query_token_ids") if extra_processed_inputs is not None else None + )Also applies to: 685-685
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tensorrt_llm/serve/openai_server.py (2)
tensorrt_llm/llmapi/llm.py (2)
prompt(81-82)generate_async(319-459)tensorrt_llm/executor/executor.py (1)
generate_async(114-159)
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tensorrt_llm/serve/openai_server.py (1)
690-691: Confirm TokensPrompt is accepted by llm.generate_async.llm.generate_async internally calls prompt_inputs; ensure it supports TokensPrompt to avoid type errors or redundant processing. If not, pass a plain dict instead.
Fallback (only if needed):
- promise = self.llm.generate_async( - inputs=tokens_prompt, + promise = self.llm.generate_async( + inputs={"prompt_token_ids": prompt_token_ids, + "query_token_ids": extra_processed_inputs.get("query_token_ids") if extra_processed_inputs is not None else None},
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Summary by CodeRabbit
Description
Cherry-pick from #7515
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PR Checklist
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PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
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