[None][feat] tool template and parser for dsv4#13608
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Add DeepSeek-V4 DSML tool-call chat formatting, parser registration, and focused tests for the vLLM-compatible prompt behavior. Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
Add a DeepSeek-V4 reasoning parser alias that matches vLLM behavior by using identity parsing in chat mode and DeepSeek-R1 parsing when thinking is enabled. Register it for auto-detection and add focused parser tests. Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
Remove the requested DeepSeek-V4 tool parser registration and initialization tests while keeping the shared parser behavior cases. Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
Signed-off-by: Qi Zhang (qizh) <10434017+Tracin@users.noreply.github.com>
Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
lfr-0531
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Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com> Signed-off-by: Qi Zhang (qizh) <10434017+Tracin@users.noreply.github.com> Co-authored-by: OpenAI Codex <codex@openai.com>
lfr-0531
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May 14, 2026
Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com> Signed-off-by: Qi Zhang (qizh) <10434017+Tracin@users.noreply.github.com> Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Fanrong Li <lfr-0531@users.noreply.github.com>
lfr-0531
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Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com> Signed-off-by: Qi Zhang (qizh) <10434017+Tracin@users.noreply.github.com> Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Fanrong Li <lfr-0531@users.noreply.github.com> (cherry picked from commit eb97997) Signed-off-by: Fanrong Li <lfr-0531@users.noreply.github.com>
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Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
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Update tava architecture diagram if there is a significant design change in PR.
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