@yandex-cloud/nodejs-sdk
Version:
Yandex.Cloud NodeJS SDK
769 lines (768 loc) • 33 kB
JavaScript
;
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.TextGenerationAsyncServiceClient = exports.TextGenerationAsyncServiceService = exports.EmbeddingsServiceClient = exports.EmbeddingsServiceService = exports.TokenizerServiceClient = exports.TokenizerServiceService = exports.TextGenerationServiceClient = exports.TextGenerationServiceService = exports.EmbeddingResponse = exports.EmbeddingRequest = exports.TokenizeResponse = exports.TokenizeRequest = exports.ChatResponse = exports.ChatRequest = exports.InstructResponse = exports.InstructRequest = exports.embeddingRequest_EmbeddingTypeToJSON = exports.embeddingRequest_EmbeddingTypeFromJSON = exports.EmbeddingRequest_EmbeddingType = exports.protobufPackage = void 0;
/* eslint-disable */
const typeRegistry_1 = require("../../../../../typeRegistry");
const long_1 = __importDefault(require("long"));
const grpc_js_1 = require("@grpc/grpc-js");
const minimal_1 = __importDefault(require("protobufjs/minimal"));
const llm_1 = require("../../../../../yandex/cloud/ai/llm/v1alpha/llm");
const operation_1 = require("../../../../../yandex/cloud/operation/operation");
exports.protobufPackage = "yandex.cloud.ai.llm.v1alpha";
/** Enum to specify the type of embedding to be generated. */
var EmbeddingRequest_EmbeddingType;
(function (EmbeddingRequest_EmbeddingType) {
/** EMBEDDING_TYPE_UNSPECIFIED - Unspecified embedding type. */
EmbeddingRequest_EmbeddingType[EmbeddingRequest_EmbeddingType["EMBEDDING_TYPE_UNSPECIFIED"] = 0] = "EMBEDDING_TYPE_UNSPECIFIED";
/**
* EMBEDDING_TYPE_QUERY - Embedding for a query. Use this when you have a short query or search term
* that you want to obtain an embedding for. Query embeddings are typically
* used in information retrieval and search applications.
*/
EmbeddingRequest_EmbeddingType[EmbeddingRequest_EmbeddingType["EMBEDDING_TYPE_QUERY"] = 1] = "EMBEDDING_TYPE_QUERY";
/**
* EMBEDDING_TYPE_DOCUMENT - Embedding for a document. Use this when you have a longer document or a piece
* of text that you want to obtain an embedding for. Document embeddings are often
* used in natural language understanding and document similarity tasks.
*/
EmbeddingRequest_EmbeddingType[EmbeddingRequest_EmbeddingType["EMBEDDING_TYPE_DOCUMENT"] = 2] = "EMBEDDING_TYPE_DOCUMENT";
EmbeddingRequest_EmbeddingType[EmbeddingRequest_EmbeddingType["UNRECOGNIZED"] = -1] = "UNRECOGNIZED";
})(EmbeddingRequest_EmbeddingType = exports.EmbeddingRequest_EmbeddingType || (exports.EmbeddingRequest_EmbeddingType = {}));
function embeddingRequest_EmbeddingTypeFromJSON(object) {
switch (object) {
case 0:
case "EMBEDDING_TYPE_UNSPECIFIED":
return EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_UNSPECIFIED;
case 1:
case "EMBEDDING_TYPE_QUERY":
return EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_QUERY;
case 2:
case "EMBEDDING_TYPE_DOCUMENT":
return EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_DOCUMENT;
case -1:
case "UNRECOGNIZED":
default:
return EmbeddingRequest_EmbeddingType.UNRECOGNIZED;
}
}
exports.embeddingRequest_EmbeddingTypeFromJSON = embeddingRequest_EmbeddingTypeFromJSON;
function embeddingRequest_EmbeddingTypeToJSON(object) {
switch (object) {
case EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_UNSPECIFIED:
return "EMBEDDING_TYPE_UNSPECIFIED";
case EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_QUERY:
return "EMBEDDING_TYPE_QUERY";
case EmbeddingRequest_EmbeddingType.EMBEDDING_TYPE_DOCUMENT:
return "EMBEDDING_TYPE_DOCUMENT";
default:
return "UNKNOWN";
}
}
exports.embeddingRequest_EmbeddingTypeToJSON = embeddingRequest_EmbeddingTypeToJSON;
const baseInstructRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.InstructRequest",
model: "",
};
exports.InstructRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.InstructRequest",
encode(message, writer = minimal_1.default.Writer.create()) {
if (message.model !== "") {
writer.uint32(10).string(message.model);
}
if (message.generationOptions !== undefined) {
llm_1.GenerationOptions.encode(message.generationOptions, writer.uint32(18).fork()).ldelim();
}
if (message.instructionText !== undefined) {
writer.uint32(26).string(message.instructionText);
}
if (message.instructionUri !== undefined) {
writer.uint32(42).string(message.instructionUri);
}
if (message.requestText !== undefined) {
writer.uint32(34).string(message.requestText);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseInstructRequest);
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.model = reader.string();
break;
case 2:
message.generationOptions = llm_1.GenerationOptions.decode(reader, reader.uint32());
break;
case 3:
message.instructionText = reader.string();
break;
case 5:
message.instructionUri = reader.string();
break;
case 4:
message.requestText = reader.string();
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
const message = Object.assign({}, baseInstructRequest);
message.model =
object.model !== undefined && object.model !== null
? String(object.model)
: "";
message.generationOptions =
object.generationOptions !== undefined &&
object.generationOptions !== null
? llm_1.GenerationOptions.fromJSON(object.generationOptions)
: undefined;
message.instructionText =
object.instructionText !== undefined && object.instructionText !== null
? String(object.instructionText)
: undefined;
message.instructionUri =
object.instructionUri !== undefined && object.instructionUri !== null
? String(object.instructionUri)
: undefined;
message.requestText =
object.requestText !== undefined && object.requestText !== null
? String(object.requestText)
: undefined;
return message;
},
toJSON(message) {
const obj = {};
message.model !== undefined && (obj.model = message.model);
message.generationOptions !== undefined &&
(obj.generationOptions = message.generationOptions
? llm_1.GenerationOptions.toJSON(message.generationOptions)
: undefined);
message.instructionText !== undefined &&
(obj.instructionText = message.instructionText);
message.instructionUri !== undefined &&
(obj.instructionUri = message.instructionUri);
message.requestText !== undefined &&
(obj.requestText = message.requestText);
return obj;
},
fromPartial(object) {
var _a, _b, _c, _d;
const message = Object.assign({}, baseInstructRequest);
message.model = (_a = object.model) !== null && _a !== void 0 ? _a : "";
message.generationOptions =
object.generationOptions !== undefined &&
object.generationOptions !== null
? llm_1.GenerationOptions.fromPartial(object.generationOptions)
: undefined;
message.instructionText = (_b = object.instructionText) !== null && _b !== void 0 ? _b : undefined;
message.instructionUri = (_c = object.instructionUri) !== null && _c !== void 0 ? _c : undefined;
message.requestText = (_d = object.requestText) !== null && _d !== void 0 ? _d : undefined;
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.InstructRequest.$type, exports.InstructRequest);
const baseInstructResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.InstructResponse",
numPromptTokens: 0,
};
exports.InstructResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.InstructResponse",
encode(message, writer = minimal_1.default.Writer.create()) {
for (const v of message.alternatives) {
llm_1.Alternative.encode(v, writer.uint32(10).fork()).ldelim();
}
if (message.numPromptTokens !== 0) {
writer.uint32(16).int64(message.numPromptTokens);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseInstructResponse);
message.alternatives = [];
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.alternatives.push(llm_1.Alternative.decode(reader, reader.uint32()));
break;
case 2:
message.numPromptTokens = longToNumber(reader.int64());
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
var _a;
const message = Object.assign({}, baseInstructResponse);
message.alternatives = ((_a = object.alternatives) !== null && _a !== void 0 ? _a : []).map((e) => llm_1.Alternative.fromJSON(e));
message.numPromptTokens =
object.numPromptTokens !== undefined && object.numPromptTokens !== null
? Number(object.numPromptTokens)
: 0;
return message;
},
toJSON(message) {
const obj = {};
if (message.alternatives) {
obj.alternatives = message.alternatives.map((e) => e ? llm_1.Alternative.toJSON(e) : undefined);
}
else {
obj.alternatives = [];
}
message.numPromptTokens !== undefined &&
(obj.numPromptTokens = Math.round(message.numPromptTokens));
return obj;
},
fromPartial(object) {
var _a, _b;
const message = Object.assign({}, baseInstructResponse);
message.alternatives =
((_a = object.alternatives) === null || _a === void 0 ? void 0 : _a.map((e) => llm_1.Alternative.fromPartial(e))) || [];
message.numPromptTokens = (_b = object.numPromptTokens) !== null && _b !== void 0 ? _b : 0;
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.InstructResponse.$type, exports.InstructResponse);
const baseChatRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.ChatRequest",
model: "",
};
exports.ChatRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.ChatRequest",
encode(message, writer = minimal_1.default.Writer.create()) {
if (message.model !== "") {
writer.uint32(10).string(message.model);
}
if (message.generationOptions !== undefined) {
llm_1.GenerationOptions.encode(message.generationOptions, writer.uint32(18).fork()).ldelim();
}
if (message.instructionText !== undefined) {
writer.uint32(26).string(message.instructionText);
}
for (const v of message.messages) {
llm_1.Message.encode(v, writer.uint32(34).fork()).ldelim();
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseChatRequest);
message.messages = [];
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.model = reader.string();
break;
case 2:
message.generationOptions = llm_1.GenerationOptions.decode(reader, reader.uint32());
break;
case 3:
message.instructionText = reader.string();
break;
case 4:
message.messages.push(llm_1.Message.decode(reader, reader.uint32()));
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
var _a;
const message = Object.assign({}, baseChatRequest);
message.model =
object.model !== undefined && object.model !== null
? String(object.model)
: "";
message.generationOptions =
object.generationOptions !== undefined &&
object.generationOptions !== null
? llm_1.GenerationOptions.fromJSON(object.generationOptions)
: undefined;
message.instructionText =
object.instructionText !== undefined && object.instructionText !== null
? String(object.instructionText)
: undefined;
message.messages = ((_a = object.messages) !== null && _a !== void 0 ? _a : []).map((e) => llm_1.Message.fromJSON(e));
return message;
},
toJSON(message) {
const obj = {};
message.model !== undefined && (obj.model = message.model);
message.generationOptions !== undefined &&
(obj.generationOptions = message.generationOptions
? llm_1.GenerationOptions.toJSON(message.generationOptions)
: undefined);
message.instructionText !== undefined &&
(obj.instructionText = message.instructionText);
if (message.messages) {
obj.messages = message.messages.map((e) => e ? llm_1.Message.toJSON(e) : undefined);
}
else {
obj.messages = [];
}
return obj;
},
fromPartial(object) {
var _a, _b, _c;
const message = Object.assign({}, baseChatRequest);
message.model = (_a = object.model) !== null && _a !== void 0 ? _a : "";
message.generationOptions =
object.generationOptions !== undefined &&
object.generationOptions !== null
? llm_1.GenerationOptions.fromPartial(object.generationOptions)
: undefined;
message.instructionText = (_b = object.instructionText) !== null && _b !== void 0 ? _b : undefined;
message.messages =
((_c = object.messages) === null || _c === void 0 ? void 0 : _c.map((e) => llm_1.Message.fromPartial(e))) || [];
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.ChatRequest.$type, exports.ChatRequest);
const baseChatResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.ChatResponse",
numTokens: 0,
};
exports.ChatResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.ChatResponse",
encode(message, writer = minimal_1.default.Writer.create()) {
if (message.message !== undefined) {
llm_1.Message.encode(message.message, writer.uint32(10).fork()).ldelim();
}
if (message.numTokens !== 0) {
writer.uint32(16).int64(message.numTokens);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseChatResponse);
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.message = llm_1.Message.decode(reader, reader.uint32());
break;
case 2:
message.numTokens = longToNumber(reader.int64());
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
const message = Object.assign({}, baseChatResponse);
message.message =
object.message !== undefined && object.message !== null
? llm_1.Message.fromJSON(object.message)
: undefined;
message.numTokens =
object.numTokens !== undefined && object.numTokens !== null
? Number(object.numTokens)
: 0;
return message;
},
toJSON(message) {
const obj = {};
message.message !== undefined &&
(obj.message = message.message
? llm_1.Message.toJSON(message.message)
: undefined);
message.numTokens !== undefined &&
(obj.numTokens = Math.round(message.numTokens));
return obj;
},
fromPartial(object) {
var _a;
const message = Object.assign({}, baseChatResponse);
message.message =
object.message !== undefined && object.message !== null
? llm_1.Message.fromPartial(object.message)
: undefined;
message.numTokens = (_a = object.numTokens) !== null && _a !== void 0 ? _a : 0;
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.ChatResponse.$type, exports.ChatResponse);
const baseTokenizeRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.TokenizeRequest",
model: "",
text: "",
};
exports.TokenizeRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.TokenizeRequest",
encode(message, writer = minimal_1.default.Writer.create()) {
if (message.model !== "") {
writer.uint32(10).string(message.model);
}
if (message.text !== "") {
writer.uint32(18).string(message.text);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseTokenizeRequest);
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.model = reader.string();
break;
case 2:
message.text = reader.string();
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
const message = Object.assign({}, baseTokenizeRequest);
message.model =
object.model !== undefined && object.model !== null
? String(object.model)
: "";
message.text =
object.text !== undefined && object.text !== null
? String(object.text)
: "";
return message;
},
toJSON(message) {
const obj = {};
message.model !== undefined && (obj.model = message.model);
message.text !== undefined && (obj.text = message.text);
return obj;
},
fromPartial(object) {
var _a, _b;
const message = Object.assign({}, baseTokenizeRequest);
message.model = (_a = object.model) !== null && _a !== void 0 ? _a : "";
message.text = (_b = object.text) !== null && _b !== void 0 ? _b : "";
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.TokenizeRequest.$type, exports.TokenizeRequest);
const baseTokenizeResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.TokenizeResponse",
};
exports.TokenizeResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.TokenizeResponse",
encode(message, writer = minimal_1.default.Writer.create()) {
for (const v of message.tokens) {
llm_1.Token.encode(v, writer.uint32(10).fork()).ldelim();
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseTokenizeResponse);
message.tokens = [];
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.tokens.push(llm_1.Token.decode(reader, reader.uint32()));
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
var _a;
const message = Object.assign({}, baseTokenizeResponse);
message.tokens = ((_a = object.tokens) !== null && _a !== void 0 ? _a : []).map((e) => llm_1.Token.fromJSON(e));
return message;
},
toJSON(message) {
const obj = {};
if (message.tokens) {
obj.tokens = message.tokens.map((e) => (e ? llm_1.Token.toJSON(e) : undefined));
}
else {
obj.tokens = [];
}
return obj;
},
fromPartial(object) {
var _a;
const message = Object.assign({}, baseTokenizeResponse);
message.tokens = ((_a = object.tokens) === null || _a === void 0 ? void 0 : _a.map((e) => llm_1.Token.fromPartial(e))) || [];
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.TokenizeResponse.$type, exports.TokenizeResponse);
const baseEmbeddingRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.EmbeddingRequest",
embeddingType: 0,
model: "",
text: "",
};
exports.EmbeddingRequest = {
$type: "yandex.cloud.ai.llm.v1alpha.EmbeddingRequest",
encode(message, writer = minimal_1.default.Writer.create()) {
if (message.embeddingType !== 0) {
writer.uint32(8).int32(message.embeddingType);
}
if (message.model !== "") {
writer.uint32(18).string(message.model);
}
if (message.text !== "") {
writer.uint32(26).string(message.text);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseEmbeddingRequest);
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
message.embeddingType = reader.int32();
break;
case 2:
message.model = reader.string();
break;
case 3:
message.text = reader.string();
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
const message = Object.assign({}, baseEmbeddingRequest);
message.embeddingType =
object.embeddingType !== undefined && object.embeddingType !== null
? embeddingRequest_EmbeddingTypeFromJSON(object.embeddingType)
: 0;
message.model =
object.model !== undefined && object.model !== null
? String(object.model)
: "";
message.text =
object.text !== undefined && object.text !== null
? String(object.text)
: "";
return message;
},
toJSON(message) {
const obj = {};
message.embeddingType !== undefined &&
(obj.embeddingType = embeddingRequest_EmbeddingTypeToJSON(message.embeddingType));
message.model !== undefined && (obj.model = message.model);
message.text !== undefined && (obj.text = message.text);
return obj;
},
fromPartial(object) {
var _a, _b, _c;
const message = Object.assign({}, baseEmbeddingRequest);
message.embeddingType = (_a = object.embeddingType) !== null && _a !== void 0 ? _a : 0;
message.model = (_b = object.model) !== null && _b !== void 0 ? _b : "";
message.text = (_c = object.text) !== null && _c !== void 0 ? _c : "";
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.EmbeddingRequest.$type, exports.EmbeddingRequest);
const baseEmbeddingResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.EmbeddingResponse",
embedding: 0,
numTokens: 0,
};
exports.EmbeddingResponse = {
$type: "yandex.cloud.ai.llm.v1alpha.EmbeddingResponse",
encode(message, writer = minimal_1.default.Writer.create()) {
writer.uint32(10).fork();
for (const v of message.embedding) {
writer.double(v);
}
writer.ldelim();
if (message.numTokens !== 0) {
writer.uint32(16).int64(message.numTokens);
}
return writer;
},
decode(input, length) {
const reader = input instanceof minimal_1.default.Reader ? input : new minimal_1.default.Reader(input);
let end = length === undefined ? reader.len : reader.pos + length;
const message = Object.assign({}, baseEmbeddingResponse);
message.embedding = [];
while (reader.pos < end) {
const tag = reader.uint32();
switch (tag >>> 3) {
case 1:
if ((tag & 7) === 2) {
const end2 = reader.uint32() + reader.pos;
while (reader.pos < end2) {
message.embedding.push(reader.double());
}
}
else {
message.embedding.push(reader.double());
}
break;
case 2:
message.numTokens = longToNumber(reader.int64());
break;
default:
reader.skipType(tag & 7);
break;
}
}
return message;
},
fromJSON(object) {
var _a;
const message = Object.assign({}, baseEmbeddingResponse);
message.embedding = ((_a = object.embedding) !== null && _a !== void 0 ? _a : []).map((e) => Number(e));
message.numTokens =
object.numTokens !== undefined && object.numTokens !== null
? Number(object.numTokens)
: 0;
return message;
},
toJSON(message) {
const obj = {};
if (message.embedding) {
obj.embedding = message.embedding.map((e) => e);
}
else {
obj.embedding = [];
}
message.numTokens !== undefined &&
(obj.numTokens = Math.round(message.numTokens));
return obj;
},
fromPartial(object) {
var _a, _b;
const message = Object.assign({}, baseEmbeddingResponse);
message.embedding = ((_a = object.embedding) === null || _a === void 0 ? void 0 : _a.map((e) => e)) || [];
message.numTokens = (_b = object.numTokens) !== null && _b !== void 0 ? _b : 0;
return message;
},
};
typeRegistry_1.messageTypeRegistry.set(exports.EmbeddingResponse.$type, exports.EmbeddingResponse);
/** Service for text generation and conversation. */
exports.TextGenerationServiceService = {
/** RPC method for instructing the model to generate text. */
instruct: {
path: "/yandex.cloud.ai.llm.v1alpha.TextGenerationService/Instruct",
requestStream: false,
responseStream: true,
requestSerialize: (value) => Buffer.from(exports.InstructRequest.encode(value).finish()),
requestDeserialize: (value) => exports.InstructRequest.decode(value),
responseSerialize: (value) => Buffer.from(exports.InstructResponse.encode(value).finish()),
responseDeserialize: (value) => exports.InstructResponse.decode(value),
},
/** RPC method for engaging in a chat conversation with the model. */
chat: {
path: "/yandex.cloud.ai.llm.v1alpha.TextGenerationService/Chat",
requestStream: false,
responseStream: true,
requestSerialize: (value) => Buffer.from(exports.ChatRequest.encode(value).finish()),
requestDeserialize: (value) => exports.ChatRequest.decode(value),
responseSerialize: (value) => Buffer.from(exports.ChatResponse.encode(value).finish()),
responseDeserialize: (value) => exports.ChatResponse.decode(value),
},
};
exports.TextGenerationServiceClient = (0, grpc_js_1.makeGenericClientConstructor)(exports.TextGenerationServiceService, "yandex.cloud.ai.llm.v1alpha.TextGenerationService");
/** Service for tokenizing input text. */
exports.TokenizerServiceService = {
/** RPC method for tokenizing input text. */
tokenize: {
path: "/yandex.cloud.ai.llm.v1alpha.TokenizerService/Tokenize",
requestStream: false,
responseStream: false,
requestSerialize: (value) => Buffer.from(exports.TokenizeRequest.encode(value).finish()),
requestDeserialize: (value) => exports.TokenizeRequest.decode(value),
responseSerialize: (value) => Buffer.from(exports.TokenizeResponse.encode(value).finish()),
responseDeserialize: (value) => exports.TokenizeResponse.decode(value),
},
};
exports.TokenizerServiceClient = (0, grpc_js_1.makeGenericClientConstructor)(exports.TokenizerServiceService, "yandex.cloud.ai.llm.v1alpha.TokenizerService");
/** Service for obtaining embeddings for text data. */
exports.EmbeddingsServiceService = {
/** RPC method to obtain embeddings for input text data. */
embedding: {
path: "/yandex.cloud.ai.llm.v1alpha.EmbeddingsService/Embedding",
requestStream: false,
responseStream: false,
requestSerialize: (value) => Buffer.from(exports.EmbeddingRequest.encode(value).finish()),
requestDeserialize: (value) => exports.EmbeddingRequest.decode(value),
responseSerialize: (value) => Buffer.from(exports.EmbeddingResponse.encode(value).finish()),
responseDeserialize: (value) => exports.EmbeddingResponse.decode(value),
},
};
exports.EmbeddingsServiceClient = (0, grpc_js_1.makeGenericClientConstructor)(exports.EmbeddingsServiceService, "yandex.cloud.ai.llm.v1alpha.EmbeddingsService");
/** Service for asynchronous text generation. */
exports.TextGenerationAsyncServiceService = {
/** RPC method for instructing the model to generate text. */
instruct: {
path: "/yandex.cloud.ai.llm.v1alpha.TextGenerationAsyncService/Instruct",
requestStream: false,
responseStream: false,
requestSerialize: (value) => Buffer.from(exports.InstructRequest.encode(value).finish()),
requestDeserialize: (value) => exports.InstructRequest.decode(value),
responseSerialize: (value) => Buffer.from(operation_1.Operation.encode(value).finish()),
responseDeserialize: (value) => operation_1.Operation.decode(value),
},
};
exports.TextGenerationAsyncServiceClient = (0, grpc_js_1.makeGenericClientConstructor)(exports.TextGenerationAsyncServiceService, "yandex.cloud.ai.llm.v1alpha.TextGenerationAsyncService");
var globalThis = (() => {
if (typeof globalThis !== "undefined")
return globalThis;
if (typeof self !== "undefined")
return self;
if (typeof window !== "undefined")
return window;
if (typeof global !== "undefined")
return global;
throw "Unable to locate global object";
})();
function longToNumber(long) {
if (long.gt(Number.MAX_SAFE_INTEGER)) {
throw new globalThis.Error("Value is larger than Number.MAX_SAFE_INTEGER");
}
return long.toNumber();
}
if (minimal_1.default.util.Long !== long_1.default) {
minimal_1.default.util.Long = long_1.default;
minimal_1.default.configure();
}