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import type { TextGenerationStreamOutput } from "@huggingface/inference";
import type OpenAI from "openai";
import type { Stream } from "openai/streaming";
/**
* Transform a stream of OpenAI.Chat.ChatCompletion into a stream of TextGenerationStreamOutput
*/
export async function* openAIChatToTextGenerationStream(
completionStream: Stream<OpenAI.Chat.Completions.ChatCompletionChunk>,
getRouterMetadata?: () => { route?: string; model?: string; provider?: string }
) {
let generatedText = "";
let tokenId = 0;
let toolBuffer = ""; // legacy hack kept harmless
let metadataYielded = false;
let thinkOpen = false;
for await (const completion of completionStream) {
const retyped = completion as {
"x-router-metadata"?: { route: string; model: string; provider?: string };
};
// Check if this chunk contains router metadata (first chunk from llm-router)
if (!metadataYielded && retyped["x-router-metadata"]) {
const metadata = retyped["x-router-metadata"];
yield {
token: {
id: tokenId++,
text: "",
logprob: 0,
special: true,
},
generated_text: null,
details: null,
routerMetadata: {
route: metadata.route,
model: metadata.model,
provider: metadata.provider,
},
} as TextGenerationStreamOutput & {
routerMetadata: { route: string; model: string; provider?: string };
};
metadataYielded = true;
// Skip processing this chunk as content since it's just metadata
if (
!completion.choices ||
completion.choices.length === 0 ||
!completion.choices[0].delta?.content
) {
continue;
}
}
const { choices } = completion;
const delta: OpenAI.Chat.Completions.ChatCompletionChunk.Choice.Delta & {
reasoning?: string;
reasoning_content?: string;
} = choices?.[0]?.delta ?? {};
const content: string = delta.content ?? "";
const reasoning: string =
typeof delta?.reasoning === "string"
? (delta.reasoning as string)
: typeof delta?.reasoning_content === "string"
? (delta.reasoning_content as string)
: "";
const last = choices?.[0]?.finish_reason === "stop" || choices?.[0]?.finish_reason === "length";
// if the last token is a stop and the tool buffer is not empty, yield it as a generated_text
if (choices?.[0]?.finish_reason === "stop" && toolBuffer.length > 0) {
yield {
token: {
id: tokenId++,
special: true,
logprob: 0,
text: "",
},
generated_text: toolBuffer,
details: null,
} as TextGenerationStreamOutput;
break;
}
// weird bug where the parameters are streamed in like this
if (choices?.[0]?.delta?.tool_calls) {
const calls = Array.isArray(choices[0].delta.tool_calls)
? choices[0].delta.tool_calls
: [choices[0].delta.tool_calls];
if (
calls.length === 1 &&
calls[0].index === 0 &&
calls[0].id === "" &&
calls[0].type === "function" &&
!!calls[0].function &&
calls[0].function.name === null
) {
toolBuffer += calls[0].function.arguments;
continue;
}
}
let combined = "";
if (reasoning && reasoning.length > 0) {
if (!thinkOpen) {
combined += "<think>" + reasoning;
thinkOpen = true;
} else {
combined += reasoning;
}
}
if (content && content.length > 0) {
const trimmed = content.trim();
// Allow <think> tags in content to pass through (for models like DeepSeek R1)
if (thinkOpen && trimmed === "</think>") {
// close once without duplicating the tag
combined += "</think>";
thinkOpen = false;
} else if (thinkOpen) {
combined += "</think>" + content;
thinkOpen = false;
} else {
combined += content;
}
}
// Accumulate the combined token into the full text
generatedText += combined;
const output: TextGenerationStreamOutput = {
token: {
id: tokenId++,
text: combined,
logprob: 0,
special: last,
},
generated_text: last ? generatedText : null,
details: null,
};
yield output;
// Tools removed: ignore tool_calls deltas
}
// If metadata wasn't yielded from chunks (e.g., from headers), yield it at the end
if (!metadataYielded && getRouterMetadata) {
const routerMetadata = getRouterMetadata();
// Yield if we have either complete router metadata OR just provider info
if (
(routerMetadata && routerMetadata.route && routerMetadata.model) ||
routerMetadata?.provider
) {
yield {
token: {
id: tokenId++,
text: "",
logprob: 0,
special: true,
},
generated_text: null,
details: null,
routerMetadata,
} as TextGenerationStreamOutput & {
routerMetadata: { route?: string; model?: string; provider?: string };
};
}
}
}
/**
* Transform a non-streaming OpenAI chat completion into a stream of TextGenerationStreamOutput
*/
export async function* openAIChatToTextGenerationSingle(
completion: OpenAI.Chat.Completions.ChatCompletion,
getRouterMetadata?: () => { route?: string; model?: string; provider?: string }
) {
const message: NonNullable<OpenAI.Chat.Completions.ChatCompletion.Choice>["message"] & {
reasoning?: string;
reasoning_content?: string;
} = completion.choices?.[0]?.message ?? {};
let content: string = message?.content || "";
// Provider-dependent reasoning shapes (non-streaming)
const r: string =
typeof message?.reasoning === "string"
? (message.reasoning as string)
: typeof message?.reasoning_content === "string"
? (message.reasoning_content as string)
: "";
if (r && r.length > 0) {
content = `<think>${r}</think>` + content;
}
const tokenId = 0;
// Yield the content as a single token
yield {
token: {
id: tokenId,
text: content,
logprob: 0,
special: false,
},
generated_text: content,
details: null,
...(getRouterMetadata
? (() => {
const metadata = getRouterMetadata();
return (metadata && metadata.route && metadata.model) || metadata?.provider
? { routerMetadata: metadata }
: {};
})()
: {}),
} as TextGenerationStreamOutput & {
routerMetadata?: { route?: string; model?: string; provider?: string };
};
}
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