fix(provider): inject chat_template_kwargs for Nvidia NIM deepseek-v4 models#24262
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Zireael wants to merge 2 commits intoanomalyco:devfrom
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fix(provider): inject chat_template_kwargs for Nvidia NIM deepseek-v4 models#24262Zireael wants to merge 2 commits intoanomalyco:devfrom
Zireael wants to merge 2 commits intoanomalyco:devfrom
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…tinue docs - BerriAI/litellm#26469 needs-discussion (config DualCache + batched prefetch, WIP) - anomalyco/opencode#24262 request-changes (NIM deepseek-v4 chat_template_kwargs body-mutating fetch) - continuedev/continue#12216 merge-as-is (openrouter identification headers docs)
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isnt it enabled by default tho? |
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Issue for this PR
Closes #24264
Type of change
What does this PR do?
Resolves an issue where Nvidia NIM's
deepseek-v4-flashanddeepseek-v4-promodels fail to return a response when used in OpenCode because the Nvidia NIM API explicitly requireschat_template_kwargs: { enable_thinking: true, thinking: true }in the root of the JSON payload for reasoning models.Since the Vercel AI SDK strips unknown options, configuring this via
opencode.jsoncdoes not work. This PR fixes the issue by intercepting the fetch request in thenvidiaprovider definition and manually injecting the requiredchat_template_kwargsinto the JSON body when adeepseek-v4model is used.How did you verify your code works?
By locally overriding the provider configuration and confirming that the injected fetch wrapper successfully allows DeepSeek models from the Nvidia NIM API to stream reasoning and text responses.
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