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fae625a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 | 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;
// Leading whitespace-only reasoning deltas that arrived before the block
// opened. Held here and flushed once a non-blank delta opens the block, so a
// blank chunk can't create an empty <think> on its own while the trace still
// stays byte-exact. Mirrors runMcpFlow, which does the same for the tool path.
let pendingReasoningWhitespace = "";
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;
reasoning_text?: 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)
: typeof delta?.reasoning_text === "string"
? (delta.reasoning_text 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 = "";
// Whitespace-only deltas still count once a block is open (paragraph
// breaks are part of the trace); non-blank text is only required to OPEN
// one, so stray leading whitespace can't produce an empty think block —
// but it must not be discarded either, hence the buffer.
if (reasoning.length > 0) {
if (thinkOpen) {
combined += reasoning;
} else if (reasoning.trim().length > 0) {
combined += "<think>" + pendingReasoningWhitespace + reasoning;
pendingReasoningWhitespace = "";
thinkOpen = true;
} else {
pendingReasoningWhitespace += 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;
reasoning_text?: 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)
: typeof message?.reasoning_text === "string"
? (message.reasoning_text as string)
: "";
// Trim only to TEST for emptiness — whitespace-only reasoning is not a trace
// and must not become an empty <think> block, but anything real is echoed
// byte-exact, since vendors documenting preserved thinking can require the
// payload back unmodified.
if (r.trim().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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