feat: add gigachat api

server/routers/kfu-m-24-1/eng-it-lean/gigachat/gigachat.js

@@ -0,0 +1,614 @@
+"use strict";
+var __defProp = Object.defineProperty;
+var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
+var __getOwnPropNames = Object.getOwnPropertyNames;
+var __hasOwnProp = Object.prototype.hasOwnProperty;
+var __export = (target, all) => {
+  for (var name in all)
+    __defProp(target, name, { get: all[name], enumerable: true });
+};
+var __copyProps = (to, from, except, desc) => {
+  if (from && typeof from === "object" || typeof from === "function") {
+    for (let key of __getOwnPropNames(from))
+      if (!__hasOwnProp.call(to, key) && key !== except)
+        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
+  }
+  return to;
+};
+var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
+
+// src/index.ts
+var index_exports = {};
+__export(index_exports, {
+  createGigachat: () => createGigachat,
+  gigachat: () => gigachat
+});
+module.exports = __toCommonJS(index_exports);
+
+// src/gigachat-provider.ts
+var import_provider_utils4 = require("@ai-sdk/provider-utils");
+
+// src/gigachat-chat-language-model.ts
+var import_provider_utils2 = require("@ai-sdk/provider-utils");
+var import_zod2 = require("zod");
+
+// src/convert-to-gigachat-chat-messages.ts
+var import_provider = require("@ai-sdk/provider");
+function convertToGigachatChatMessages(prompt) {
+  const messages = [];
+  for (let i = 0; i < prompt.length; i++) {
+    const { role, content } = prompt[i];
+    const isLastMessage = i === prompt.length - 1;
+    switch (role) {
+      case "system": {
+        messages.push({ role: "system", content });
+        break;
+      }
+      case "user": {
+        messages.push({
+          role: "user",
+          content: content.map((part) => {
+            switch (part.type) {
+              case "text": {
+                return part.text;
+              }
+              case "image": {
+                throw new import_provider.UnsupportedFunctionalityError({
+                  functionality: 'Images should be added in "attachments" object'
+                });
+              }
+              case "file": {
+                throw new import_provider.UnsupportedFunctionalityError({
+                  functionality: "File content parts in user messages"
+                });
+              }
+            }
+          }).join("")
+        });
+        break;
+      }
+      case "assistant": {
+        let text = "";
+        let functionCall;
+        for (const part of content) {
+          switch (part.type) {
+            case "text": {
+              text += part.text;
+              break;
+            }
+            case "tool-call": {
+              functionCall = {
+                name: part.toolName,
+                arguments: part.args
+              };
+              break;
+            }
+            default: {
+              const _exhaustiveCheck = part;
+              throw new Error(`Unsupported part: ${_exhaustiveCheck}`);
+            }
+          }
+        }
+        messages.push({
+          role: "assistant",
+          content: text,
+          prefix: isLastMessage ? true : void 0,
+          function_call: functionCall
+        });
+        break;
+      }
+      case "tool": {
+        for (const toolResponse of content) {
+          messages.push({
+            role: "function",
+            name: toolResponse.toolName,
+            content: JSON.stringify(toolResponse.result)
+          });
+        }
+        break;
+      }
+      default: {
+        const _exhaustiveCheck = role;
+        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);
+      }
+    }
+  }
+  return messages;
+}
+
+// src/map-gigachat-finish-reason.ts
+function mapGigachatFinishReason(finishReason) {
+  switch (finishReason) {
+    case "stop":
+      return "stop";
+    case "length":
+    case "model_length":
+      return "length";
+    case "function_call":
+      return "tool-calls";
+    case "error":
+      return "error";
+    default:
+      return "unknown";
+  }
+}
+
+// src/gigachat-error.ts
+var import_provider_utils = require("@ai-sdk/provider-utils");
+var import_zod = require("zod");
+var gigachatErrorDataSchema = import_zod.z.object({
+  object: import_zod.z.literal("error"),
+  message: import_zod.z.string(),
+  type: import_zod.z.string(),
+  param: import_zod.z.string().nullable(),
+  code: import_zod.z.string().nullable()
+});
+var gigachatFailedResponseHandler = (0, import_provider_utils.createJsonErrorResponseHandler)({
+  errorSchema: gigachatErrorDataSchema,
+  errorToMessage: (data) => data.message
+});
+
+// src/get-response-metadata.ts
+function getResponseMetadata({
+  model,
+  created
+}) {
+  return {
+    modelId: model != null ? model : void 0,
+    timestamp: created != null ? new Date(created * 1e3) : void 0
+  };
+}
+
+// src/gigachat-prepare-tools.ts
+var import_provider2 = require("@ai-sdk/provider");
+function prepareTools(mode) {
+  var _a;
+  const tools = ((_a = mode.tools) == null ? void 0 : _a.length) ? mode.tools : void 0;
+  const toolWarnings = [];
+  if (tools == null) {
+    return { tools: void 0, tool_choice: void 0, toolWarnings };
+  }
+  const gigachatTools = [];
+  for (const tool of tools) {
+    if (tool.type === "provider-defined") {
+      toolWarnings.push({ type: "unsupported-tool", tool });
+    } else {
+      gigachatTools.push({
+        type: "function",
+        function: {
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.parameters
+        }
+      });
+    }
+  }
+  const toolChoice = mode.toolChoice;
+  if (toolChoice == null) {
+    return { tools: gigachatTools, tool_choice: void 0, toolWarnings };
+  }
+  const type = toolChoice.type;
+  switch (type) {
+    case "auto":
+    case "none":
+      return { tools: gigachatTools, tool_choice: type, toolWarnings };
+    case "required":
+      return { tools: gigachatTools, tool_choice: "any", toolWarnings };
+    // gigachat does not support tool mode directly,
+    // so we filter the tools and force the tool choice through 'any'
+    case "tool":
+      return {
+        tools: gigachatTools.filter((tool) => tool.function.name === toolChoice.toolName),
+        tool_choice: "any",
+        toolWarnings
+      };
+    default: {
+      const _exhaustiveCheck = type;
+      throw new import_provider2.UnsupportedFunctionalityError({
+        functionality: `Unsupported tool choice type: ${_exhaustiveCheck}`
+      });
+    }
+  }
+}
+
+// src/gigachat-chat-language-model.ts
+var GigachatChatLanguageModel = class {
+  constructor(modelId, settings, config) {
+    this.specificationVersion = "v1";
+    this.defaultObjectGenerationMode = "json";
+    this.supportsImageUrls = false;
+    this.modelId = modelId;
+    this.settings = settings;
+    this.config = config;
+  }
+  get provider() {
+    return this.config.provider;
+  }
+  getArgs({
+    mode,
+    prompt,
+    maxTokens,
+    temperature,
+    topP,
+    topK,
+    frequencyPenalty,
+    presencePenalty,
+    stopSequences,
+    responseFormat,
+    seed
+  }) {
+    const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (frequencyPenalty != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "frequencyPenalty"
+      });
+    }
+    if (presencePenalty != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "presencePenalty"
+      });
+    }
+    if (stopSequences != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "stopSequences"
+      });
+    }
+    if (responseFormat != null && responseFormat.type === "json" && responseFormat.schema != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format schema is not supported"
+      });
+    }
+    const baseArgs = {
+      // model id:
+      model: this.modelId,
+      // model specific settings:
+      stream: this.settings.stream,
+      repetition_penalty: this.settings.repetition_penalty,
+      update_interval: this.settings.update_interval,
+      // standardized settings:
+      max_tokens: maxTokens,
+      temperature,
+      top_p: topP,
+      // response format:
+      response_format: (responseFormat == null ? void 0 : responseFormat.type) === "json" ? { type: "json_object" } : void 0,
+      // messages:
+      messages: convertToGigachatChatMessages(prompt)
+    };
+    switch (type) {
+      case "regular": {
+        const { tools, tool_choice, toolWarnings } = prepareTools(mode);
+        return {
+          args: { ...baseArgs, tools, tool_choice },
+          warnings: [...warnings, ...toolWarnings]
+        };
+      }
+      case "object-json": {
+        return {
+          args: {
+            ...baseArgs,
+            response_format: { type: "json_object" }
+          },
+          warnings
+        };
+      }
+      case "object-tool": {
+        return {
+          args: {
+            ...baseArgs,
+            tool_choice: "any",
+            tools: [{ type: "function", function: mode.tool }]
+          },
+          warnings
+        };
+      }
+      default: {
+        const _exhaustiveCheck = type;
+        throw new Error(`Unsupported type: ${_exhaustiveCheck}`);
+      }
+    }
+  }
+  async doGenerate(options) {
+    var _a;
+    const { args, warnings } = this.getArgs(options);
+    const { responseHeaders, value: response } = await (0, import_provider_utils2.postJsonToApi)({
+      url: `${this.config.baseURL}/chat/completions`,
+      headers: (0, import_provider_utils2.combineHeaders)(this.config.headers(), options.headers),
+      body: args,
+      failedResponseHandler: gigachatFailedResponseHandler,
+      successfulResponseHandler: (0, import_provider_utils2.createJsonResponseHandler)(gigachatChatResponseSchema),
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch
+    });
+    const { messages: rawPrompt, ...rawSettings } = args;
+    const choice = response.choices[0];
+    let text = (_a = choice.message.content) != null ? _a : void 0;
+    const lastMessage = rawPrompt[rawPrompt.length - 1];
+    if (lastMessage.role === "assistant" && (text == null ? void 0 : text.startsWith(lastMessage.content))) {
+      text = text.slice(lastMessage.content.length);
+    }
+    return {
+      text,
+      toolCalls: choice.message.function_call ? [
+        {
+          toolCallType: "function",
+          toolCallId: choice.message.function_call.name,
+          toolName: choice.message.function_call.name,
+          args: JSON.stringify(choice.message.function_call.arguments)
+        }
+      ] : [],
+      finishReason: mapGigachatFinishReason(choice.finish_reason),
+      usage: {
+        promptTokens: response.usage.prompt_tokens,
+        completionTokens: response.usage.completion_tokens
+      },
+      rawCall: { rawPrompt, rawSettings },
+      rawResponse: { headers: responseHeaders },
+      request: { body: JSON.stringify(args) },
+      response: getResponseMetadata(response),
+      warnings
+    };
+  }
+  async doStream(options) {
+    const { args, warnings } = this.getArgs(options);
+    const body = { ...args, stream: true };
+    const { responseHeaders, value: response } = await (0, import_provider_utils2.postJsonToApi)({
+      url: `${this.config.baseURL}/chat/completions`,
+      headers: (0, import_provider_utils2.combineHeaders)(this.config.headers(), options.headers),
+      body,
+      failedResponseHandler: gigachatFailedResponseHandler,
+      successfulResponseHandler: (0, import_provider_utils2.createEventSourceResponseHandler)(gigachatChatChunkSchema),
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch
+    });
+    const { messages: rawPrompt, ...rawSettings } = args;
+    let finishReason = "unknown";
+    let usage = {
+      promptTokens: Number.NaN,
+      completionTokens: Number.NaN
+    };
+    let chunkNumber = 0;
+    let trimLeadingSpace = false;
+    return {
+      stream: response.pipeThrough(
+        new TransformStream({
+          transform(chunk, controller) {
+            if (!chunk.success) {
+              controller.enqueue({ type: "error", error: chunk.error });
+              return;
+            }
+            chunkNumber++;
+            const value = chunk.value;
+            if (chunkNumber === 1) {
+              controller.enqueue({
+                type: "response-metadata",
+                ...getResponseMetadata(value)
+              });
+            }
+            if (value.usage != null) {
+              usage = {
+                promptTokens: value.usage.prompt_tokens,
+                completionTokens: value.usage.completion_tokens
+              };
+            }
+            const choice = value.choices[0];
+            if ((choice == null ? void 0 : choice.finish_reason) != null) {
+              finishReason = mapGigachatFinishReason(choice.finish_reason);
+            }
+            if ((choice == null ? void 0 : choice.delta) == null) {
+              return;
+            }
+            const delta = choice.delta;
+            if (chunkNumber <= 2) {
+              const lastMessage = rawPrompt[rawPrompt.length - 1];
+              if (lastMessage.role === "assistant" && delta.content === lastMessage.content.trimEnd()) {
+                if (delta.content.length < lastMessage.content.length) {
+                  trimLeadingSpace = true;
+                }
+                return;
+              }
+            }
+            if (delta.content != null) {
+              controller.enqueue({
+                type: "text-delta",
+                textDelta: trimLeadingSpace ? delta.content.trimStart() : delta.content
+              });
+              trimLeadingSpace = false;
+            }
+            if (delta.function_call != null) {
+              controller.enqueue({
+                type: "tool-call-delta",
+                toolCallType: "function",
+                toolCallId: delta.function_call.name,
+                toolName: delta.function_call.name,
+                argsTextDelta: JSON.stringify(delta.function_call.arguments)
+              });
+              controller.enqueue({
+                type: "tool-call",
+                toolCallType: "function",
+                toolCallId: delta.function_call.name,
+                toolName: delta.function_call.name,
+                args: JSON.stringify(delta.function_call.arguments)
+              });
+            }
+          },
+          flush(controller) {
+            controller.enqueue({ type: "finish", finishReason, usage });
+          }
+        })
+      ),
+      rawCall: { rawPrompt, rawSettings },
+      rawResponse: { headers: responseHeaders },
+      request: { body: JSON.stringify(body) },
+      warnings
+    };
+  }
+};
+var gigachatChatResponseSchema = import_zod2.z.object({
+  created: import_zod2.z.number().nullish(),
+  model: import_zod2.z.string().nullish(),
+  choices: import_zod2.z.array(
+    import_zod2.z.object({
+      message: import_zod2.z.object({
+        role: import_zod2.z.literal("assistant"),
+        content: import_zod2.z.string().nullable(),
+        created: import_zod2.z.number().nullish(),
+        name: import_zod2.z.string().nullish(),
+        function_call: import_zod2.z.object({
+          name: import_zod2.z.string(),
+          arguments: import_zod2.z.record(import_zod2.z.any())
+        }).nullish(),
+        data_for_context: import_zod2.z.array(import_zod2.z.object({})).nullish()
+      }),
+      index: import_zod2.z.number(),
+      finish_reason: import_zod2.z.string().nullish()
+    })
+  ),
+  object: import_zod2.z.literal("chat.completion"),
+  usage: import_zod2.z.object({
+    prompt_tokens: import_zod2.z.number(),
+    completion_tokens: import_zod2.z.number(),
+    total_tokens: import_zod2.z.number()
+  })
+});
+var gigachatChatChunkSchema = import_zod2.z.object({
+  created: import_zod2.z.number().nullish(),
+  model: import_zod2.z.string().nullish(),
+  object: import_zod2.z.literal("chat.completion"),
+  choices: import_zod2.z.array(
+    import_zod2.z.object({
+      delta: import_zod2.z.object({
+        role: import_zod2.z.enum(["assistant"]).optional(),
+        content: import_zod2.z.string().nullish(),
+        functions_state_id: import_zod2.z.string().nullish(),
+        function_call: import_zod2.z.object({
+          name: import_zod2.z.string(),
+          arguments: import_zod2.z.object({})
+        }).nullish()
+      }),
+      finish_reason: import_zod2.z.string().nullish(),
+      index: import_zod2.z.number()
+    })
+  ),
+  usage: import_zod2.z.object({
+    prompt_tokens: import_zod2.z.number(),
+    completion_tokens: import_zod2.z.number()
+  }).nullish()
+});
+
+// src/gigachat-embedding-model.ts
+var import_provider3 = require("@ai-sdk/provider");
+var import_provider_utils3 = require("@ai-sdk/provider-utils");
+var import_zod3 = require("zod");
+var GigachatEmbeddingModel = class {
+  constructor(modelId, settings, config) {
+    this.specificationVersion = "v1";
+    this.modelId = modelId;
+    this.settings = settings;
+    this.config = config;
+  }
+  get provider() {
+    return this.config.provider;
+  }
+  get maxEmbeddingsPerCall() {
+    var _a;
+    return (_a = this.settings.maxEmbeddingsPerCall) != null ? _a : 32;
+  }
+  get supportsParallelCalls() {
+    var _a;
+    return (_a = this.settings.supportsParallelCalls) != null ? _a : false;
+  }
+  async doEmbed({
+    values,
+    abortSignal,
+    headers
+  }) {
+    if (values.length > this.maxEmbeddingsPerCall) {
+      throw new import_provider3.TooManyEmbeddingValuesForCallError({
+        provider: this.provider,
+        modelId: this.modelId,
+        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,
+        values
+      });
+    }
+    const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
+      url: `${this.config.baseURL}/embeddings`,
+      headers: (0, import_provider_utils3.combineHeaders)(this.config.headers(), headers),
+      body: {
+        model: this.modelId,
+        input: values,
+        encoding_format: "float"
+      },
+      failedResponseHandler: gigachatFailedResponseHandler,
+      successfulResponseHandler: (0, import_provider_utils3.createJsonResponseHandler)(GigachatTextEmbeddingResponseSchema),
+      abortSignal,
+      fetch: this.config.fetch
+    });
+    return {
+      embeddings: response.data.map((item) => item.embedding),
+      usage: response.usage ? { tokens: response.usage.prompt_tokens } : void 0,
+      rawResponse: { headers: responseHeaders }
+    };
+  }
+};
+var GigachatTextEmbeddingResponseSchema = import_zod3.z.object({
+  data: import_zod3.z.array(import_zod3.z.object({ embedding: import_zod3.z.array(import_zod3.z.number()) })),
+  usage: import_zod3.z.object({ prompt_tokens: import_zod3.z.number() }).nullish()
+});
+
+// src/gigachat-provider.ts
+function createGigachat(options = {}) {
+  var _a;
+  const baseURL = (_a = (0, import_provider_utils4.withoutTrailingSlash)(options.baseURL)) != null ? _a : "https://gigachat.devices.sberbank.ru/api/v1";
+  const getAccessToken = () => ({});
+  const getHeaders = () => ({
+    Authorization: `Bearer ${(0, import_provider_utils4.loadApiKey)({
+      apiKey: options.apiKey,
+      environmentVariableName: "GIGACHAT_ACCESS_TOKEN",
+      description: "GigaChat"
+    })}`,
+    ...options.headers
+  });
+  const createChatModel = (modelId, settings = {}) => new GigachatChatLanguageModel(modelId, settings, {
+    provider: "gigachat.chat",
+    baseURL,
+    headers: getHeaders,
+    fetch: options.fetch
+  });
+  const createEmbeddingModel = (modelId, settings = {}) => new GigachatEmbeddingModel(modelId, settings, {
+    provider: "gigachat.embedding",
+    baseURL,
+    headers: getHeaders,
+    fetch: options.fetch
+  });
+  const provider = function(modelId, settings) {
+    if (new.target) {
+      throw new Error("Gigachat function cannot be called with the new keyword.");
+    }
+    return createChatModel(modelId, settings);
+  };
+  provider.languageModel = createChatModel;
+  provider.chat = createChatModel;
+  provider.embedding = createEmbeddingModel;
+  provider.textEmbedding = createEmbeddingModel;
+  provider.textEmbeddingModel = createEmbeddingModel;
+  return provider;
+}
+var gigachat = createGigachat();
+// Annotate the CommonJS export names for ESM import in node:
+0 && (module.exports = {
+  createGigachat,
+  gigachat
+});
+//# sourceMappingURL=index.js.map

server/routers/kfu-m-24-1/eng-it-lean/gigachat/index.js

@@ -0,0 +1,120 @@
+const https = require('follow-redirects').https;
+const fs = require('fs');
+const qs = require('querystring');
+const uuid = require('uuid');
+
+const router = require('express').Router();
+
+// vercel/ai package - https://github.com/vercel/ai
+const ai = require('./ai')
+// gigachat provider for vercel/ai
+const gigachatProvider = require('./gigachat')
+
+module.exports = router;
+
+process.env.NODE_TLS_REJECT_UNAUTHORIZED = '0'
+process.env.GIGACHAT_AUTH = 'NWVjYTczYjctNWRkYi00NzExLTg0YTEtMjhlOWVmODM2MjI4OjlmMTBkMGVkLWZjZjktNGZhOS1hNDZjLTc5ZWU1YzExOGExMw=='
+
+const gigachat = gigachatProvider.createGigachat( { 
+  headers: {
+    'Content-Type': 'application/json',
+    'Accept': 'application/json',
+  }
+})
+
+router.use((req, res, next) => {
+  const hasToken = process.env.GIGACHAT_ACCESS_TOKEN && process.env.GIGACHAT_EXPIRES_AT != null;
+  const hasExpired = new Date(process.env.GIGACHAT_EXPIRES_AT) <= new Date();
+  if (!hasToken || hasExpired) {
+    let auth = process.env.GIGACHAT_AUTH;
+    let rquid = uuid.v4();
+    let options = {
+      'method': 'POST',
+      'hostname': 'ngw.devices.sberbank.ru',
+      'port': 9443,
+      'path': '/api/v2/oauth',
+      'headers': {
+        'Content-Type': 'application/x-www-form-urlencoded',
+        'Accept': 'application/json',
+        'RqUID': rquid,
+        'Authorization': 'Basic ' + auth
+      },
+      'maxRedirects': 20
+    };
+    
+    const req = https.request(options, (response) => {
+      let chunks = [];
+    
+      response.on("data", (chunk) => {
+        chunks.push(chunk);
+      });
+    
+      response.on("end", (chunk) => {
+        let body = Buffer.concat(chunks);
+        console.log(body.toString());
+        let json = JSON.parse(body.toString());
+        process.env.GIGACHAT_ACCESS_TOKEN = json.access_token;
+        process.env.GIGACHAT_EXPIRES_AT = json.expires_at;
+      });
+    
+      response.on("error", (error) => {
+        console.error(error);
+        res.status(500).send(error);
+      });
+    });
+    
+    let postData = qs.stringify({
+      'scope': 'GIGACHAT_API_PERS'
+    });
+    
+    req.write(postData);
+    req.end();
+  }
+  next()
+});
+
+router.post('/chat', async (req, res) => {
+  const { messages } = req.body;
+
+  const result = ai.streamText({
+    model: gigachat('GigaChat'),
+    system: 'You are a helpful assistant.',
+    messages,
+    stream: true,
+    update_interval: 0.2,
+  });
+
+  result.pipeDataStreamToResponse(res);
+})
+
+router.post('/new-unit', async (req, res) => {
+  const { prompt } = req.body;
+
+  const result =  ai.streamText({
+    model: gigachat('GigaChat'),
+    system:`
+    Я хочу, чтобы вы выступали в роли помощника для создания продвинутых текстовых уроков английского языка. Я буду указывать тему и уровень сложности (начинающий, средний, продвинутый), а вы будете предоставлять структурированный план урока в формате Markdown. Урок должен включать только текстовые элементы (без видео, картинок, аудио) и содержать следующие разделы:
+    -Цель урока — конкретный навык или знание, которое освоят студенты.
+    -Лексика
+      -Базовые термины: 5-7 слов/фраз с примерами употребления.
+      -Расширенная лексика: 3-5 идиом, фразовых глаголов или сложных выражений (для среднего/продвинутого уровня).
+    -Грамматический фокус
+      -Правило с пояснением и 3-5 примерами.
+      -Типичные ошибки и как их избежать.
+    -Контекстуализация
+      -Короткий текст (диалог, статья, описание) для анализа с использованием лексики и грамматики урока.
+    -Упражнения
+      -Письменное задание: например, составить предложения/эссе по теме.
+      -Устная практика: ролевые диалоги (текстовые сценарии), описание ситуаций.
+      -Аналитическое задание: исправление ошибок в предложениях, перевод сложных конструкций.
+    -Домашнее задание
+      Текстовые задачи: написание текста, грамматические тесты, поиск синонимов/антонимов.
+    Ответ должен быть оформлен в Markdown, лаконичным, без лишних комментариев, если пишешь блок кода, начинай его с новой строки.
+    `,
+    prompt,
+    stream: true,
+    update_interval: 0.3,
+  });
+
+  result.pipeDataStreamToResponse(res);
+});

server/routers/kfu-m-24-1/eng-it-lean/index.js

@@ -1,7 +1,8 @@
-const router = require("express").Router();
+const router = require('express').Router();
 
-const dictionariesRouter = require("./dictionaries");
+const dictionariesRouter = require('./dictionaries');
 const unitsRouter = require('./units');
+const gigachatRouter = require('./gigachat');
 module.exports = router;
 
 const delay =
@@ -11,5 +12,6 @@ const delay =
   };
 
 router.use(delay());
-router.use("/dictionaries", dictionariesRouter);
+router.use('/dictionaries', dictionariesRouter);
 router.use('/units', unitsRouter);
+router.use('/gigachat', gigachatRouter);