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@langchain/google-genai

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@langchain/google-genai - npm Package Compare versions

Comparing version
2.1.18
 to
2.1.19
+9
-0
CHANGELOG.md
# @langchain/google-genai
## 2.1.19
### Patch Changes
- [#10078](https://github.com/langchain-ai/langchainjs/pull/10078) [`7be50a7`](https://github.com/langchain-ai/langchainjs/commit/7be50a7014d7622e0ab8d303dfc9c633ebc96333) Thanks [@christian-bromann](https://github.com/christian-bromann)! - chore(\*): update model profiles
- Updated dependencies [[`27186c5`](https://github.com/langchain-ai/langchainjs/commit/27186c54884cfe7c2522fa50b42c3ca0ccaefdba), [`05396f7`](https://github.com/langchain-ai/langchainjs/commit/05396f7ce0a91c49a3bae4bbcd3dbdd6cbd18089), [`5a6f26b`](https://github.com/langchain-ai/langchainjs/commit/5a6f26bbaed80195dc538c538b96219a8b03f38f)]:
- @langchain/core@1.1.25
## 2.1.18

@@ -4,0 +13,0 @@ 

+20
-24
dist/chat_models.cjs

@@ -1,2 +0,1 @@

const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
const require_zod_to_genai_parameters = require('./utils/zod_to_genai_parameters.cjs');

@@ -7,8 +6,8 @@ const require_common = require('./utils/common.cjs');

const require_profiles = require('./profiles.cjs');
const __google_generative_ai = require_rolldown_runtime.__toESM(require("@google/generative-ai"));
const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
const __langchain_core_language_models_chat_models = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/chat_models"));
const __langchain_core_runnables = require_rolldown_runtime.__toESM(require("@langchain/core/runnables"));
const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
const __langchain_core_output_parsers = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers"));
let _google_generative_ai = require("@google/generative-ai");
let _langchain_core_utils_env = require("@langchain/core/utils/env");
let _langchain_core_language_models_chat_models = require("@langchain/core/language_models/chat_models");
let _langchain_core_runnables = require("@langchain/core/runnables");
let _langchain_core_utils_types = require("@langchain/core/utils/types");
let _langchain_core_output_parsers = require("@langchain/core/output_parsers");

@@ -391,3 +390,3 @@ //#region src/chat_models.ts

*/
var ChatGoogleGenerativeAI = class extends __langchain_core_language_models_chat_models.BaseChatModel {
var ChatGoogleGenerativeAI = class extends _langchain_core_language_models_chat_models.BaseChatModel {
static lc_name() {

@@ -438,8 +437,7 @@ return "ChatGoogleGenerativeAI";

this.stopSequences = fields.stopSequences ?? this.stopSequences;
this.apiKey = fields.apiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("GOOGLE_API_KEY");
this.apiKey = fields.apiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("GOOGLE_API_KEY");
if (!this.apiKey) throw new Error("Please set an API key for Google GenerativeAI in the environment variable GOOGLE_API_KEY or in the `apiKey` field of the ChatGoogleGenerativeAI constructor");
this.safetySettings = fields.safetySettings ?? this.safetySettings;
if (this.safetySettings && this.safetySettings.length > 0) {
const safetySettingsSet = new Set(this.safetySettings.map((s) => s.category));
if (safetySettingsSet.size !== this.safetySettings.length) throw new Error("The categories in `safetySettings` array must be unique");
if (new Set(this.safetySettings.map((s) => s.category)).size !== this.safetySettings.length) throw new Error("The categories in `safetySettings` array must be unique");
}

@@ -449,3 +447,3 @@ this.streaming = fields.streaming ?? this.streaming;

this.thinkingConfig = fields.thinkingConfig ?? this.thinkingConfig;
this.client = new __google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModel({
this.client = new _google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModel({
model: this.model,

@@ -471,3 +469,3 @@ safetySettings: this.safetySettings,

if (!this.apiKey) return;
this.client = new __google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModelFromCachedContent(cachedContent, modelParams, requestOptions);
this.client = new _google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModelFromCachedContent(cachedContent, modelParams, requestOptions);
}

@@ -542,5 +540,4 @@ get useSystemInstruction() {

}
const generations = finalChunks.filter((c) => c !== void 0);
return {
generations,
generations: finalChunks.filter((c) => c !== void 0),
llmOutput: { estimatedTokenUsage: tokenUsage }

@@ -567,10 +564,9 @@ };

}
const parameters = this.invocationParams(options);
const request = {
...parameters,
...this.invocationParams(options),
contents: actualPrompt
};
const stream = await this.caller.callWithOptions({ signal: options?.signal }, async () => {
const { stream: stream$1 } = await this.client.generateContentStream(request, { signal: options?.signal });
return stream$1;
const { stream } = await this.client.generateContentStream(request, { signal: options?.signal });
return stream;
});

@@ -647,3 +643,3 @@ let usageMetadata;

let tools;
if ((0, __langchain_core_utils_types.isInteropZodSchema)(schema)) {
if ((0, _langchain_core_utils_types.isInteropZodSchema)(schema)) {
const jsonSchema = require_zod_to_genai_parameters.schemaToGenerativeAIParameters(schema);

@@ -681,9 +677,9 @@ tools = [{ functionDeclarations: [{

llm = this.withConfig({ responseSchema: jsonSchema });
outputParser = new __langchain_core_output_parsers.JsonOutputParser();
outputParser = new _langchain_core_output_parsers.JsonOutputParser();
}
if (!includeRaw) return llm.pipe(outputParser).withConfig({ runName: "ChatGoogleGenerativeAIStructuredOutput" });
const parserAssign = __langchain_core_runnables.RunnablePassthrough.assign({ parsed: (input, config$1) => outputParser.invoke(input.raw, config$1) });
const parserNone = __langchain_core_runnables.RunnablePassthrough.assign({ parsed: () => null });
const parserAssign = _langchain_core_runnables.RunnablePassthrough.assign({ parsed: (input, config) => outputParser.invoke(input.raw, config) });
const parserNone = _langchain_core_runnables.RunnablePassthrough.assign({ parsed: () => null });
const parsedWithFallback = parserAssign.withFallbacks({ fallbacks: [parserNone] });
return __langchain_core_runnables.RunnableSequence.from([{ raw: llm }, parsedWithFallback]).withConfig({ runName: "StructuredOutputRunnable" });
return _langchain_core_runnables.RunnableSequence.from([{ raw: llm }, parsedWithFallback]).withConfig({ runName: "StructuredOutputRunnable" });
}

@@ -690,0 +686,0 @@ };

+8
-11
dist/chat_models.js

@@ -5,3 +5,3 @@ import { removeAdditionalProperties, schemaToGenerativeAIParameters } from "./utils/zod_to_genai_parameters.js";

import { convertToolsToGenAI } from "./utils/tools.js";
import profiles_default from "./profiles.js";
import PROFILES from "./profiles.js";
import { GoogleGenerativeAI } from "@google/generative-ai";

@@ -440,4 +440,3 @@ import { getEnvironmentVariable } from "@langchain/core/utils/env";

if (this.safetySettings && this.safetySettings.length > 0) {
const safetySettingsSet = new Set(this.safetySettings.map((s) => s.category));
if (safetySettingsSet.size !== this.safetySettings.length) throw new Error("The categories in `safetySettings` array must be unique");
if (new Set(this.safetySettings.map((s) => s.category)).size !== this.safetySettings.length) throw new Error("The categories in `safetySettings` array must be unique");
}

@@ -538,5 +537,4 @@ this.streaming = fields.streaming ?? this.streaming;

}
const generations = finalChunks.filter((c) => c !== void 0);
return {
generations,
generations: finalChunks.filter((c) => c !== void 0),
llmOutput: { estimatedTokenUsage: tokenUsage }

@@ -563,10 +561,9 @@ };

}
const parameters = this.invocationParams(options);
const request = {
...parameters,
...this.invocationParams(options),
contents: actualPrompt
};
const stream = await this.caller.callWithOptions({ signal: options?.signal }, async () => {
const { stream: stream$1 } = await this.client.generateContentStream(request, { signal: options?.signal });
return stream$1;
const { stream } = await this.client.generateContentStream(request, { signal: options?.signal });
return stream;
});

@@ -630,3 +627,3 @@ let usageMetadata;

get profile() {
return profiles_default[this.model] ?? {};
return PROFILES[this.model] ?? {};
}

@@ -680,3 +677,3 @@ withStructuredOutput(outputSchema, config) {

if (!includeRaw) return llm.pipe(outputParser).withConfig({ runName: "ChatGoogleGenerativeAIStructuredOutput" });
const parserAssign = RunnablePassthrough.assign({ parsed: (input, config$1) => outputParser.invoke(input.raw, config$1) });
const parserAssign = RunnablePassthrough.assign({ parsed: (input, config) => outputParser.invoke(input.raw, config) });
const parserNone = RunnablePassthrough.assign({ parsed: () => null });

@@ -683,0 +680,0 @@ const parsedWithFallback = parserAssign.withFallbacks({ fallbacks: [parserNone] });

+11
-16
dist/embeddings.cjs

@@ -1,6 +0,5 @@

const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
const __google_generative_ai = require_rolldown_runtime.__toESM(require("@google/generative-ai"));
const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
const __langchain_core_embeddings = require_rolldown_runtime.__toESM(require("@langchain/core/embeddings"));
const __langchain_core_utils_chunk_array = require_rolldown_runtime.__toESM(require("@langchain/core/utils/chunk_array"));
let _google_generative_ai = require("@google/generative-ai");
let _langchain_core_utils_env = require("@langchain/core/utils/env");
let _langchain_core_embeddings = require("@langchain/core/embeddings");
let _langchain_core_utils_chunk_array = require("@langchain/core/utils/chunk_array");

@@ -29,3 +28,3 @@ //#region src/embeddings.ts

*/
var GoogleGenerativeAIEmbeddings = class extends __langchain_core_embeddings.Embeddings {
var GoogleGenerativeAIEmbeddings = class extends _langchain_core_embeddings.Embeddings {
apiKey;

@@ -46,12 +45,11 @@ modelName = "embedding-001";

if (this.title && this.taskType !== "RETRIEVAL_DOCUMENT") throw new Error("title can only be sepcified with TaskType.RETRIEVAL_DOCUMENT");
this.apiKey = fields?.apiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("GOOGLE_API_KEY");
this.apiKey = fields?.apiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("GOOGLE_API_KEY");
if (!this.apiKey) throw new Error("Please set an API key for Google GenerativeAI in the environmentb variable GOOGLE_API_KEY or in the `apiKey` field of the GoogleGenerativeAIEmbeddings constructor");
this.client = new __google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModel({ model: this.model }, { baseUrl: fields?.baseUrl });
this.client = new _google_generative_ai.GoogleGenerativeAI(this.apiKey).getGenerativeModel({ model: this.model }, { baseUrl: fields?.baseUrl });
}
_convertToContent(text) {
const cleanedText = this.stripNewLines ? text.replace(/\n/g, " ") : text;
return {
content: {
role: "user",
parts: [{ text: cleanedText }]
parts: [{ text: this.stripNewLines ? text.replace(/\n/g, " ") : text }]
},

@@ -64,14 +62,11 @@ taskType: this.taskType,

const req = this._convertToContent(text);
const res = await this.client.embedContent(req);
return res.embedding.values ?? [];
return (await this.client.embedContent(req)).embedding.values ?? [];
}
async _embedDocumentsContent(documents) {
const batchEmbedChunks = (0, __langchain_core_utils_chunk_array.chunkArray)(documents, this.maxBatchSize);
const batchEmbedChunks = (0, _langchain_core_utils_chunk_array.chunkArray)(documents, this.maxBatchSize);
const batchEmbedRequests = batchEmbedChunks.map((chunk) => ({ requests: chunk.map((doc) => this._convertToContent(doc)) }));
const responses = await Promise.allSettled(batchEmbedRequests.map((req) => this.client.batchEmbedContents(req)));
const embeddings = responses.flatMap((res, idx) => {
return (await Promise.allSettled(batchEmbedRequests.map((req) => this.client.batchEmbedContents(req)))).flatMap((res, idx) => {
if (res.status === "fulfilled") return res.value.embeddings.map((e) => e.values || []);
else return Array(batchEmbedChunks[idx].length).fill([]);
});
return embeddings;
}

@@ -78,0 +73,0 @@ /**

+0
-1
dist/embeddings.d.cts

@@ -5,3 +5,2 @@ import { TaskType } from "@google/generative-ai";

//#region src/embeddings.d.ts
/**

@@ -8,0 +7,0 @@ * Interface that extends EmbeddingsParams and defines additional

+0
-1
dist/embeddings.d.ts

@@ -5,3 +5,2 @@ import { TaskType } from "@google/generative-ai";

//#region src/embeddings.d.ts
/**

@@ -8,0 +7,0 @@ * Interface that extends EmbeddingsParams and defines additional

+3
-7
dist/embeddings.js

@@ -49,7 +49,6 @@ import { GoogleGenerativeAI } from "@google/generative-ai";

_convertToContent(text) {
const cleanedText = this.stripNewLines ? text.replace(/\n/g, " ") : text;
return {
content: {
role: "user",
parts: [{ text: cleanedText }]
parts: [{ text: this.stripNewLines ? text.replace(/\n/g, " ") : text }]
},

@@ -62,4 +61,3 @@ taskType: this.taskType,

const req = this._convertToContent(text);
const res = await this.client.embedContent(req);
return res.embedding.values ?? [];
return (await this.client.embedContent(req)).embedding.values ?? [];
}

@@ -69,8 +67,6 @@ async _embedDocumentsContent(documents) {

const batchEmbedRequests = batchEmbedChunks.map((chunk) => ({ requests: chunk.map((doc) => this._convertToContent(doc)) }));
const responses = await Promise.allSettled(batchEmbedRequests.map((req) => this.client.batchEmbedContents(req)));
const embeddings = responses.flatMap((res, idx) => {
return (await Promise.allSettled(batchEmbedRequests.map((req) => this.client.batchEmbedContents(req)))).flatMap((res, idx) => {
if (res.status === "fulfilled") return res.value.embeddings.map((e) => e.values || []);
else return Array(batchEmbedChunks[idx].length).fill([]);
});
return embeddings;
}

@@ -77,0 +73,0 @@ /**

+1
-0
dist/index.cjs

@@ -0,1 +1,2 @@

Object.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });
const require_chat_models = require('./chat_models.cjs');

@@ -2,0 +3,0 @@ const require_embeddings = require('./embeddings.cjs');

+6
-8
dist/output_parsers.cjs

@@ -1,7 +0,6 @@

const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
const __langchain_core_output_parsers = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers"));
let _langchain_core_utils_types = require("@langchain/core/utils/types");
let _langchain_core_output_parsers = require("@langchain/core/output_parsers");
//#region src/output_parsers.ts
var GoogleGenerativeAIToolsOutputParser = class extends __langchain_core_output_parsers.BaseLLMOutputParser {
var GoogleGenerativeAIToolsOutputParser = class extends _langchain_core_output_parsers.BaseLLMOutputParser {
static lc_name() {

@@ -29,5 +28,5 @@ return "GoogleGenerativeAIToolsOutputParser";

if (this.zodSchema === void 0) return result;
const zodParsedResult = await (0, __langchain_core_utils_types.interopSafeParseAsync)(this.zodSchema, result);
const zodParsedResult = await (0, _langchain_core_utils_types.interopSafeParseAsync)(this.zodSchema, result);
if (zodParsedResult.success) return zodParsedResult.data;
else throw new __langchain_core_output_parsers.OutputParserException(`Failed to parse. Text: "${JSON.stringify(result, null, 2)}". Error: ${JSON.stringify(zodParsedResult.error.issues)}`, JSON.stringify(result, null, 2));
else throw new _langchain_core_output_parsers.OutputParserException(`Failed to parse. Text: "${JSON.stringify(result, null, 2)}". Error: ${JSON.stringify(zodParsedResult.error.issues)}`, JSON.stringify(result, null, 2));
}

@@ -42,4 +41,3 @@ async parseResult(generations) {

const [tool] = tools;
const validatedResult = await this._validateResult(tool.args);
return validatedResult;
return await this._validateResult(tool.args);
}

@@ -46,0 +44,0 @@ };

+1
-2
dist/output_parsers.js

@@ -40,4 +40,3 @@ import { interopSafeParseAsync } from "@langchain/core/utils/types";

const [tool] = tools;
const validatedResult = await this._validateResult(tool.args);
return validatedResult;
return await this._validateResult(tool.args);
}

@@ -44,0 +43,0 @@ };

+112
-85
dist/profiles.cjs

@@ -18,17 +18,17 @@

},
"gemini-2.5-flash-image": {
maxInputTokens: 32768,
"gemini-2.5-flash-lite-preview-09-2025": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 32768,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: true,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
toolCalling: true,
structuredOutput: true
},
"gemini-2.5-flash-preview-05-20": {
"gemini-2.5-pro-preview-06-05": {
maxInputTokens: 1048576,

@@ -47,3 +47,3 @@ imageInputs: true,

},
"gemini-flash-lite-latest": {
"gemini-2.5-flash-preview-04-17": {
maxInputTokens: 1048576,

@@ -60,5 +60,19 @@ imageInputs: true,

toolCalling: true,
structuredOutput: false
},
"gemini-2.5-flash-preview-09-2025": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
structuredOutput: true
},
"gemini-2.5-flash": {
"gemini-2.5-pro-preview-05-06": {
maxInputTokens: 1048576,

@@ -77,3 +91,3 @@ imageInputs: true,

},
"gemini-flash-latest": {
"gemini-2.5-flash-preview-05-20": {
maxInputTokens: 1048576,

@@ -92,3 +106,3 @@ imageInputs: true,

},
"gemini-2.5-pro-preview-05-06": {
"gemini-2.5-flash": {
maxInputTokens: 1048576,

@@ -107,17 +121,17 @@ imageInputs: true,

},
"gemini-2.5-flash-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
"gemini-live-2.5-flash": {
maxInputTokens: 128e3,
imageInputs: true,
audioInputs: true,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
videoInputs: true,
maxOutputTokens: 8e3,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
toolCalling: true,
structuredOutput: false
},
"gemini-2.0-flash-lite": {
"gemini-3-flash-preview": {
maxInputTokens: 1048576,

@@ -128,4 +142,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -151,3 +165,3 @@ audioOutputs: false,

},
"gemini-2.0-flash": {
"gemini-2.5-flash-lite": {
maxInputTokens: 1048576,

@@ -158,4 +172,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -167,3 +181,17 @@ audioOutputs: false,

},
"gemini-2.5-flash-lite": {
"gemini-2.5-flash-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
},
"gemini-flash-latest": {
maxInputTokens: 1048576,

@@ -182,3 +210,3 @@ imageInputs: true,

},
"gemini-2.5-pro-preview-06-05": {
"gemini-2.5-flash-lite-preview-06-17": {
maxInputTokens: 1048576,

@@ -195,30 +223,30 @@ imageInputs: true,

toolCalling: true,
structuredOutput: true
structuredOutput: false
},
"gemini-live-2.5-flash": {
maxInputTokens: 128e3,
"gemini-2.5-flash-image": {
maxInputTokens: 32768,
imageInputs: true,
audioInputs: true,
audioInputs: false,
pdfInputs: false,
videoInputs: true,
maxOutputTokens: 8e3,
videoInputs: false,
maxOutputTokens: 32768,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: true,
imageOutputs: true,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
toolCalling: false,
structuredOutput: false
},
"gemini-2.5-flash-lite-preview-06-17": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
"gemini-2.5-pro-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: true,
toolCalling: false,
structuredOutput: false

@@ -240,10 +268,10 @@ },

},
"gemini-2.5-flash-preview-09-2025": {
maxInputTokens: 1048576,
"gemini-1.5-flash-8b": {
maxInputTokens: 1e6,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
pdfInputs: false,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,

@@ -253,6 +281,6 @@ audioOutputs: false,

toolCalling: true,
structuredOutput: true
structuredOutput: false
},
"gemini-2.5-flash-preview-04-17": {
maxInputTokens: 1048576,
"gemini-3-pro-preview": {
maxInputTokens: 1e6,
imageInputs: true,

@@ -262,3 +290,3 @@ audioInputs: true,

videoInputs: true,
maxOutputTokens: 65536,
maxOutputTokens: 64e3,
reasoningOutput: true,

@@ -269,19 +297,5 @@ imageOutputs: false,

toolCalling: true,
structuredOutput: false
structuredOutput: true
},
"gemini-2.5-pro-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
},
"gemini-2.5-pro": {
"gemini-2.0-flash-lite": {
maxInputTokens: 1048576,

@@ -292,4 +306,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,

@@ -315,10 +329,10 @@ audioOutputs: false,

},
"gemini-1.5-flash-8b": {
maxInputTokens: 1e6,
"gemini-flash-lite-latest": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: false,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -328,5 +342,5 @@ audioOutputs: false,

toolCalling: true,
structuredOutput: false
structuredOutput: true
},
"gemini-2.5-flash-lite-preview-09-2025": {
"gemini-2.5-pro": {
maxInputTokens: 1048576,

@@ -345,2 +359,16 @@ imageInputs: true,

},
"gemini-2.0-flash": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
structuredOutput: true
},
"gemini-1.5-pro": {

@@ -361,6 +389,5 @@ maxInputTokens: 1e6,

};
var profiles_default = PROFILES;
//#endregion
exports.default = profiles_default;
exports.default = PROFILES;
//# sourceMappingURL=profiles.cjs.map
+112
-85
dist/profiles.js

@@ -17,17 +17,17 @@ //#region src/profiles.ts

},
"gemini-2.5-flash-image": {
maxInputTokens: 32768,
"gemini-2.5-flash-lite-preview-09-2025": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 32768,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: true,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
toolCalling: true,
structuredOutput: true
},
"gemini-2.5-flash-preview-05-20": {
"gemini-2.5-pro-preview-06-05": {
maxInputTokens: 1048576,

@@ -46,3 +46,3 @@ imageInputs: true,

},
"gemini-flash-lite-latest": {
"gemini-2.5-flash-preview-04-17": {
maxInputTokens: 1048576,

@@ -59,5 +59,19 @@ imageInputs: true,

toolCalling: true,
structuredOutput: false
},
"gemini-2.5-flash-preview-09-2025": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
structuredOutput: true
},
"gemini-2.5-flash": {
"gemini-2.5-pro-preview-05-06": {
maxInputTokens: 1048576,

@@ -76,3 +90,3 @@ imageInputs: true,

},
"gemini-flash-latest": {
"gemini-2.5-flash-preview-05-20": {
maxInputTokens: 1048576,

@@ -91,3 +105,3 @@ imageInputs: true,

},
"gemini-2.5-pro-preview-05-06": {
"gemini-2.5-flash": {
maxInputTokens: 1048576,

@@ -106,17 +120,17 @@ imageInputs: true,

},
"gemini-2.5-flash-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
"gemini-live-2.5-flash": {
maxInputTokens: 128e3,
imageInputs: true,
audioInputs: true,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
videoInputs: true,
maxOutputTokens: 8e3,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
toolCalling: true,
structuredOutput: false
},
"gemini-2.0-flash-lite": {
"gemini-3-flash-preview": {
maxInputTokens: 1048576,

@@ -127,4 +141,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -150,3 +164,3 @@ audioOutputs: false,

},
"gemini-2.0-flash": {
"gemini-2.5-flash-lite": {
maxInputTokens: 1048576,

@@ -157,4 +171,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -166,3 +180,17 @@ audioOutputs: false,

},
"gemini-2.5-flash-lite": {
"gemini-2.5-flash-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
},
"gemini-flash-latest": {
maxInputTokens: 1048576,

@@ -181,3 +209,3 @@ imageInputs: true,

},
"gemini-2.5-pro-preview-06-05": {
"gemini-2.5-flash-lite-preview-06-17": {
maxInputTokens: 1048576,

@@ -194,30 +222,30 @@ imageInputs: true,

toolCalling: true,
structuredOutput: true
structuredOutput: false
},
"gemini-live-2.5-flash": {
maxInputTokens: 128e3,
"gemini-2.5-flash-image": {
maxInputTokens: 32768,
imageInputs: true,
audioInputs: true,
audioInputs: false,
pdfInputs: false,
videoInputs: true,
maxOutputTokens: 8e3,
videoInputs: false,
maxOutputTokens: 32768,
reasoningOutput: true,
imageOutputs: false,
audioOutputs: true,
imageOutputs: true,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
toolCalling: false,
structuredOutput: false
},
"gemini-2.5-flash-lite-preview-06-17": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
"gemini-2.5-pro-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: true,
toolCalling: false,
structuredOutput: false

@@ -239,10 +267,10 @@ },

},
"gemini-2.5-flash-preview-09-2025": {
maxInputTokens: 1048576,
"gemini-1.5-flash-8b": {
maxInputTokens: 1e6,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
pdfInputs: false,
videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,

@@ -252,6 +280,6 @@ audioOutputs: false,

toolCalling: true,
structuredOutput: true
structuredOutput: false
},
"gemini-2.5-flash-preview-04-17": {
maxInputTokens: 1048576,
"gemini-3-pro-preview": {
maxInputTokens: 1e6,
imageInputs: true,

@@ -261,3 +289,3 @@ audioInputs: true,

videoInputs: true,
maxOutputTokens: 65536,
maxOutputTokens: 64e3,
reasoningOutput: true,

@@ -268,19 +296,5 @@ imageOutputs: false,

toolCalling: true,
structuredOutput: false
structuredOutput: true
},
"gemini-2.5-pro-preview-tts": {
maxInputTokens: 8e3,
imageInputs: false,
audioInputs: false,
pdfInputs: false,
videoInputs: false,
maxOutputTokens: 16e3,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: true,
videoOutputs: false,
toolCalling: false,
structuredOutput: false
},
"gemini-2.5-pro": {
"gemini-2.0-flash-lite": {
maxInputTokens: 1048576,

@@ -291,4 +305,4 @@ imageInputs: true,

videoInputs: true,
maxOutputTokens: 65536,
reasoningOutput: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,

@@ -314,10 +328,10 @@ audioOutputs: false,

},
"gemini-1.5-flash-8b": {
maxInputTokens: 1e6,
"gemini-flash-lite-latest": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: false,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
maxOutputTokens: 65536,
reasoningOutput: true,
imageOutputs: false,

@@ -327,5 +341,5 @@ audioOutputs: false,

toolCalling: true,
structuredOutput: false
structuredOutput: true
},
"gemini-2.5-flash-lite-preview-09-2025": {
"gemini-2.5-pro": {
maxInputTokens: 1048576,

@@ -344,2 +358,16 @@ imageInputs: true,

},
"gemini-2.0-flash": {
maxInputTokens: 1048576,
imageInputs: true,
audioInputs: true,
pdfInputs: true,
videoInputs: true,
maxOutputTokens: 8192,
reasoningOutput: false,
imageOutputs: false,
audioOutputs: false,
videoOutputs: false,
toolCalling: true,
structuredOutput: true
},
"gemini-1.5-pro": {

@@ -360,6 +388,5 @@ maxInputTokens: 1e6,

};
var profiles_default = PROFILES;
//#endregion
export { profiles_default as default };
export { PROFILES as default };
//# sourceMappingURL=profiles.js.map
+2
-5
dist/types.d.cts

@@ -7,7 +7,4 @@ import { CodeExecutionTool, FunctionDeclarationsTool, GoogleSearchRetrievalTool, Part } from "@google/generative-ai";

type GoogleGenerativeAIThinkingConfig = {
/** Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. */
includeThoughts?: boolean;
/** The number of thoughts tokens that the model should generate. */
thinkingBudget?: number;
/** Optional. The level of thoughts tokens that the model should generate. */
/** Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. */includeThoughts?: boolean; /** The number of thoughts tokens that the model should generate. */
thinkingBudget?: number; /** Optional. The level of thoughts tokens that the model should generate. */
thinkingLevel?: GoogleGenerativeAIThinkingLevel;

@@ -14,0 +11,0 @@ };

+2
-5
dist/types.d.ts

@@ -7,7 +7,4 @@ import { CodeExecutionTool, FunctionDeclarationsTool, GoogleSearchRetrievalTool, Part } from "@google/generative-ai";

type GoogleGenerativeAIThinkingConfig = {
/** Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. */
includeThoughts?: boolean;
/** The number of thoughts tokens that the model should generate. */
thinkingBudget?: number;
/** Optional. The level of thoughts tokens that the model should generate. */
/** Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. */includeThoughts?: boolean; /** The number of thoughts tokens that the model should generate. */
thinkingBudget?: number; /** Optional. The level of thoughts tokens that the model should generate. */
thinkingLevel?: GoogleGenerativeAIThinkingLevel;

@@ -14,0 +11,0 @@ };

+45
-54
dist/utils/common.cjs

@@ -1,9 +0,8 @@

const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
const require_zod_to_genai_parameters = require('./zod_to_genai_parameters.cjs');
const require_validate_schema = require('./validate_schema.cjs');
const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
const __langchain_core_outputs = require_rolldown_runtime.__toESM(require("@langchain/core/outputs"));
const __langchain_core_utils_function_calling = require_rolldown_runtime.__toESM(require("@langchain/core/utils/function_calling"));
const __langchain_core_language_models_base = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/base"));
const uuid = require_rolldown_runtime.__toESM(require("uuid"));
let _langchain_core_messages = require("@langchain/core/messages");
let _langchain_core_outputs = require("@langchain/core/outputs");
let _langchain_core_utils_function_calling = require("@langchain/core/utils/function_calling");
let _langchain_core_language_models_base = require("@langchain/core/language_models/base");
let uuid = require("uuid");

@@ -15,3 +14,3 @@ //#region src/utils/common.ts

function getMessageAuthor(message) {
if (__langchain_core_messages.ChatMessage.isInstance(message)) return message.role;
if (_langchain_core_messages.ChatMessage.isInstance(message)) return message.role;
return message.type;

@@ -50,3 +49,3 @@ }

return previousMessages.map((msg) => {
if ((0, __langchain_core_messages.isAIMessage)(msg)) return msg.tool_calls ?? [];
if ((0, _langchain_core_messages.isAIMessage)(msg)) return msg.tool_calls ?? [];
return [];

@@ -58,3 +57,3 @@ }).flat().find((toolCall) => {

function _getStandardContentBlockConverter(isMultimodalModel) {
const standardContentBlockConverter = {
return {
providerName: "Google Gemini",

@@ -67,3 +66,3 @@ fromStandardTextBlock(block) {

if (block.source_type === "url") {
const data = (0, __langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
const data = (0, _langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
if (data) return { inlineData: {

@@ -87,3 +86,3 @@ mimeType: data.mime_type,

if (block.source_type === "url") {
const data = (0, __langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
const data = (0, _langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
if (data) return { inlineData: {

@@ -108,3 +107,3 @@ mimeType: data.mime_type,

if (block.source_type === "url") {
const data = (0, __langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
const data = (0, _langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
if (data) return { inlineData: {

@@ -126,6 +125,5 @@ mimeType: data.mime_type,

};
return standardContentBlockConverter;
}
function _convertLangChainContentToPart(content, isMultimodalModel) {
if ((0, __langchain_core_messages.isDataContentBlock)(content)) return (0, __langchain_core_messages.convertToProviderContentBlock)(content, _getStandardContentBlockConverter(isMultimodalModel));
if ((0, _langchain_core_messages.isDataContentBlock)(content)) return (0, _langchain_core_messages.convertToProviderContentBlock)(content, _getStandardContentBlockConverter(isMultimodalModel));
if (content.type === "text") return { text: content.text };

@@ -161,3 +159,3 @@ else if (content.type === "executableCode") return { executableCode: content.executableCode };

} };
else if ("functionCall" in content) return void 0;
else if ("functionCall" in content) return;
else if ("type" in content) throw new Error(`Unknown content type ${content.type}`);

@@ -167,3 +165,3 @@ else throw new Error(`Unknown content ${JSON.stringify(content)}`);

function convertMessageContentToParts(message, isMultimodalModel, previousMessages, model) {
if ((0, __langchain_core_messages.isToolMessage)(message)) {
if ((0, _langchain_core_messages.isToolMessage)(message)) {
const messageName = message.name ?? inferToolNameFromPreviousMessages(message, previousMessages);

@@ -186,3 +184,3 @@ if (messageName === void 0) throw new Error(`Google requires a tool name for each tool call response, and we could not infer a called tool name for ToolMessage "${message.id}" from your passed messages. Please populate a "name" field on that ToolMessage explicitly.`);

const functionThoughtSignatures = message.additional_kwargs?.[_FUNCTION_CALL_THOUGHT_SIGNATURES_MAP_KEY];
if ((0, __langchain_core_messages.isAIMessage)(message) && message.tool_calls?.length) functionCalls = message.tool_calls.map((tc) => {
if ((0, _langchain_core_messages.isAIMessage)(message) && message.tool_calls?.length) functionCalls = message.tool_calls.map((tc) => {
const thoughtSignature = iife(() => {

@@ -208,3 +206,3 @@ if (tc.id) {

return messages.reduce((acc, message, index) => {
if (!(0, __langchain_core_messages.isBaseMessage)(message)) throw new Error("Unsupported message input");
if (!(0, _langchain_core_messages.isBaseMessage)(message)) throw new Error("Unsupported message input");
const author = getMessageAuthor(message);

@@ -217,5 +215,5 @@ if (author === "system" && index !== 0) throw new Error("System message should be the first one");

if (acc.mergeWithPreviousContent) {
const prevContent$1 = acc.content[acc.content.length - 1];
if (!prevContent$1) throw new Error("There was a problem parsing your system message. Please try a prompt without one.");
prevContent$1.parts.push(...parts);
const prevContent = acc.content[acc.content.length - 1];
if (!prevContent) throw new Error("There was a problem parsing your system message. Please try a prompt without one.");
prevContent.parts.push(...parts);
return {

@@ -247,3 +245,3 @@ mergeWithPreviousContent: false,

const [candidate] = response.candidates;
const { content: candidateContent,...generationInfo } = candidate;
const { content: candidateContent, ...generationInfo } = candidate;
const functionCalls = candidateContent.parts?.reduce((acc, p) => {

@@ -302,26 +300,22 @@ if ("functionCall" in p && p.functionCall) acc.push({

if (typeof content === "string") text = content;
else if (Array.isArray(content) && content.length > 0) {
const block = content.find((b) => "text" in b);
text = block?.text ?? text;
}
const generation = {
text,
message: new __langchain_core_messages.AIMessage({
content: content ?? "",
tool_calls: functionCalls?.map((fc) => ({
type: "tool_call",
id: fc.id,
name: fc.functionCall.name,
args: fc.functionCall.args
})),
additional_kwargs: {
...generationInfo,
[_FUNCTION_CALL_THOUGHT_SIGNATURES_MAP_KEY]: functionThoughtSignatures
},
usage_metadata: extra?.usageMetadata
}),
generationInfo
};
else if (Array.isArray(content) && content.length > 0) text = content.find((b) => "text" in b)?.text ?? text;
return {
generations: [generation],
generations: [{
text,
message: new _langchain_core_messages.AIMessage({
content: content ?? "",
tool_calls: functionCalls?.map((fc) => ({
type: "tool_call",
id: fc.id,
name: fc.functionCall.name,
args: fc.functionCall.args
})),
additional_kwargs: {
...generationInfo,
[_FUNCTION_CALL_THOUGHT_SIGNATURES_MAP_KEY]: functionThoughtSignatures
},
usage_metadata: extra?.usageMetadata
}),
generationInfo
}],
llmOutput: { tokenUsage: {

@@ -337,3 +331,3 @@ promptTokens: extra?.usageMetadata?.input_tokens,

const [candidate] = response.candidates;
const { content: candidateContent,...generationInfo } = candidate;
const { content: candidateContent, ...generationInfo } = candidate;
const functionCalls = candidateContent.parts?.reduce((acc, p) => {

@@ -388,6 +382,3 @@ if ("functionCall" in p && p.functionCall) acc.push({

if (content && typeof content === "string") text = content;
else if (Array.isArray(content)) {
const block = content.find((b) => "text" in b);
text = block?.text ?? "";
}
else if (Array.isArray(content)) text = content.find((b) => "text" in b)?.text ?? "";
const toolCallChunks = [];

@@ -404,5 +395,5 @@ if (functionCalls) toolCallChunks.push(...functionCalls.map((fc) => ({

}, {});
return new __langchain_core_outputs.ChatGenerationChunk({
return new _langchain_core_outputs.ChatGenerationChunk({
text,
message: new __langchain_core_messages.AIMessageChunk({
message: new _langchain_core_messages.AIMessageChunk({
content: content || "",

@@ -421,3 +412,3 @@ name: !candidateContent ? void 0 : candidateContent.role,

return [{ functionDeclarations: tools.map((tool) => {
if ((0, __langchain_core_utils_function_calling.isLangChainTool)(tool)) {
if ((0, _langchain_core_utils_function_calling.isLangChainTool)(tool)) {
const jsonSchema = require_zod_to_genai_parameters.schemaToGenerativeAIParameters(tool.schema);

@@ -435,3 +426,3 @@ if (jsonSchema.type === "object" && "properties" in jsonSchema && Object.keys(jsonSchema.properties).length === 0) return {

}
if ((0, __langchain_core_language_models_base.isOpenAITool)(tool)) {
if ((0, _langchain_core_language_models_base.isOpenAITool)(tool)) {
const params = require_zod_to_genai_parameters.jsonSchemaToGeminiParameters(tool.function.parameters);

@@ -438,0 +429,0 @@ require_validate_schema.assertNoEmptyStringEnums(params, tool.function.name);

+27
-35
dist/utils/common.js

@@ -55,3 +55,3 @@ import { jsonSchemaToGeminiParameters, schemaToGenerativeAIParameters } from "./zod_to_genai_parameters.js";

function _getStandardContentBlockConverter(isMultimodalModel) {
const standardContentBlockConverter = {
return {
providerName: "Google Gemini",

@@ -120,3 +120,2 @@ fromStandardTextBlock(block) {

};
return standardContentBlockConverter;
}

@@ -155,3 +154,3 @@ function _convertLangChainContentToPart(content, isMultimodalModel) {

} };
else if ("functionCall" in content) return void 0;
else if ("functionCall" in content) return;
else if ("type" in content) throw new Error(`Unknown content type ${content.type}`);

@@ -208,5 +207,5 @@ else throw new Error(`Unknown content ${JSON.stringify(content)}`);

if (acc.mergeWithPreviousContent) {
const prevContent$1 = acc.content[acc.content.length - 1];
if (!prevContent$1) throw new Error("There was a problem parsing your system message. Please try a prompt without one.");
prevContent$1.parts.push(...parts);
const prevContent = acc.content[acc.content.length - 1];
if (!prevContent) throw new Error("There was a problem parsing your system message. Please try a prompt without one.");
prevContent.parts.push(...parts);
return {

@@ -238,3 +237,3 @@ mergeWithPreviousContent: false,

const [candidate] = response.candidates;
const { content: candidateContent,...generationInfo } = candidate;
const { content: candidateContent, ...generationInfo } = candidate;
const functionCalls = candidateContent.parts?.reduce((acc, p) => {

@@ -293,26 +292,22 @@ if ("functionCall" in p && p.functionCall) acc.push({

if (typeof content === "string") text = content;
else if (Array.isArray(content) && content.length > 0) {
const block = content.find((b) => "text" in b);
text = block?.text ?? text;
}
const generation = {
text,
message: new AIMessage({
content: content ?? "",
tool_calls: functionCalls?.map((fc) => ({
type: "tool_call",
id: fc.id,
name: fc.functionCall.name,
args: fc.functionCall.args
})),
additional_kwargs: {
...generationInfo,
[_FUNCTION_CALL_THOUGHT_SIGNATURES_MAP_KEY]: functionThoughtSignatures
},
usage_metadata: extra?.usageMetadata
}),
generationInfo
};
else if (Array.isArray(content) && content.length > 0) text = content.find((b) => "text" in b)?.text ?? text;
return {
generations: [generation],
generations: [{
text,
message: new AIMessage({
content: content ?? "",
tool_calls: functionCalls?.map((fc) => ({
type: "tool_call",
id: fc.id,
name: fc.functionCall.name,
args: fc.functionCall.args
})),
additional_kwargs: {
...generationInfo,
[_FUNCTION_CALL_THOUGHT_SIGNATURES_MAP_KEY]: functionThoughtSignatures
},
usage_metadata: extra?.usageMetadata
}),
generationInfo
}],
llmOutput: { tokenUsage: {

@@ -328,3 +323,3 @@ promptTokens: extra?.usageMetadata?.input_tokens,

const [candidate] = response.candidates;
const { content: candidateContent,...generationInfo } = candidate;
const { content: candidateContent, ...generationInfo } = candidate;
const functionCalls = candidateContent.parts?.reduce((acc, p) => {

@@ -379,6 +374,3 @@ if ("functionCall" in p && p.functionCall) acc.push({

if (content && typeof content === "string") text = content;
else if (Array.isArray(content)) {
const block = content.find((b) => "text" in b);
text = block?.text ?? "";
}
else if (Array.isArray(content)) text = content.find((b) => "text" in b)?.text ?? "";
const toolCallChunks = [];

@@ -385,0 +377,0 @@ if (functionCalls) toolCallChunks.push(...functionCalls.map((fc) => ({

+11
-15
dist/utils/tools.cjs

@@ -1,7 +0,6 @@

const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
const require_zod_to_genai_parameters = require('./zod_to_genai_parameters.cjs');
const require_common = require('./common.cjs');
const __google_generative_ai = require_rolldown_runtime.__toESM(require("@google/generative-ai"));
const __langchain_core_utils_function_calling = require_rolldown_runtime.__toESM(require("@langchain/core/utils/function_calling"));
const __langchain_core_language_models_base = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/base"));
let _google_generative_ai = require("@google/generative-ai");
let _langchain_core_utils_function_calling = require("@langchain/core/utils/function_calling");
let _langchain_core_language_models_base = require("@langchain/core/language_models/base");

@@ -11,6 +10,5 @@ //#region src/utils/tools.ts

const genAITools = processTools(tools);
const toolConfig = createToolConfig(genAITools, extra);
return {
tools: genAITools,
toolConfig
toolConfig: createToolConfig(genAITools, extra)
};

@@ -22,6 +20,6 @@ }

tools.forEach((tool) => {
if ((0, __langchain_core_utils_function_calling.isLangChainTool)(tool)) {
if ((0, _langchain_core_utils_function_calling.isLangChainTool)(tool)) {
const [convertedTool] = require_common.convertToGenerativeAITools([tool]);
if (convertedTool.functionDeclarations) functionDeclarationTools.push(...convertedTool.functionDeclarations);
} else if ((0, __langchain_core_language_models_base.isOpenAITool)(tool)) {
} else if ((0, _langchain_core_language_models_base.isOpenAITool)(tool)) {
const { functionDeclarations } = convertOpenAIToolToGenAI(tool);

@@ -32,4 +30,3 @@ if (functionDeclarations) functionDeclarationTools.push(...functionDeclarations);

});
const genAIFunctionDeclaration = genAITools.find((t) => "functionDeclarations" in t);
if (genAIFunctionDeclaration) return genAITools.map((tool) => {
if (genAITools.find((t) => "functionDeclarations" in t)) return genAITools.map((tool) => {
if (functionDeclarationTools?.length > 0 && "functionDeclarations" in tool) {

@@ -55,5 +52,5 @@ const newTool = { functionDeclarations: [...tool.functionDeclarations || [], ...functionDeclarationTools] };

const modeMap = {
any: __google_generative_ai.FunctionCallingMode.ANY,
auto: __google_generative_ai.FunctionCallingMode.AUTO,
none: __google_generative_ai.FunctionCallingMode.NONE
any: _google_generative_ai.FunctionCallingMode.ANY,
auto: _google_generative_ai.FunctionCallingMode.AUTO,
none: _google_generative_ai.FunctionCallingMode.NONE
};

@@ -69,6 +66,5 @@ if (toolChoice && [

if (typeof toolChoice === "string" || allowedFunctionNames) return { functionCallingConfig: {
mode: __google_generative_ai.FunctionCallingMode.ANY,
mode: _google_generative_ai.FunctionCallingMode.ANY,
allowedFunctionNames: [...allowedFunctionNames ?? [], ...toolChoice && typeof toolChoice === "string" ? [toolChoice] : []]
} };
return void 0;
}

@@ -75,0 +71,0 @@ 

+2
-5
dist/utils/tools.js

@@ -10,6 +10,5 @@ import { removeAdditionalProperties } from "./zod_to_genai_parameters.js";

const genAITools = processTools(tools);
const toolConfig = createToolConfig(genAITools, extra);
return {
tools: genAITools,
toolConfig
toolConfig: createToolConfig(genAITools, extra)
};

@@ -30,4 +29,3 @@ }

});
const genAIFunctionDeclaration = genAITools.find((t) => "functionDeclarations" in t);
if (genAIFunctionDeclaration) return genAITools.map((tool) => {
if (genAITools.find((t) => "functionDeclarations" in t)) return genAITools.map((tool) => {
if (functionDeclarationTools?.length > 0 && "functionDeclarations" in tool) {

@@ -69,3 +67,2 @@ const newTool = { functionDeclarations: [...tool.functionDeclarations || [], ...functionDeclarationTools] };

} };
return void 0;
}

@@ -72,0 +69,0 @@ 

+4
-7
dist/utils/zod_to_genai_parameters.cjs

@@ -1,4 +0,3 @@

const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
const __langchain_core_utils_json_schema = require_rolldown_runtime.__toESM(require("@langchain/core/utils/json_schema"));
let _langchain_core_utils_types = require("@langchain/core/utils/types");
let _langchain_core_utils_json_schema = require("@langchain/core/utils/json_schema");

@@ -21,9 +20,7 @@ //#region src/utils/zod_to_genai_parameters.ts

function schemaToGenerativeAIParameters(schema) {
const jsonSchema = removeAdditionalProperties((0, __langchain_core_utils_types.isInteropZodSchema)(schema) ? (0, __langchain_core_utils_json_schema.toJsonSchema)(schema) : schema);
const { $schema,...rest } = jsonSchema;
const { $schema, ...rest } = removeAdditionalProperties((0, _langchain_core_utils_types.isInteropZodSchema)(schema) ? (0, _langchain_core_utils_json_schema.toJsonSchema)(schema) : schema);
return rest;
}
function jsonSchemaToGeminiParameters(schema) {
const jsonSchema = removeAdditionalProperties(schema);
const { $schema,...rest } = jsonSchema;
const { $schema, ...rest } = removeAdditionalProperties(schema);
return rest;

@@ -30,0 +27,0 @@ }

+2
-4
dist/utils/zod_to_genai_parameters.js

@@ -20,9 +20,7 @@ import { isInteropZodSchema } from "@langchain/core/utils/types";

function schemaToGenerativeAIParameters(schema) {
const jsonSchema = removeAdditionalProperties(isInteropZodSchema(schema) ? toJsonSchema(schema) : schema);
const { $schema,...rest } = jsonSchema;
const { $schema, ...rest } = removeAdditionalProperties(isInteropZodSchema(schema) ? toJsonSchema(schema) : schema);
return rest;
}
function jsonSchemaToGeminiParameters(schema) {
const jsonSchema = removeAdditionalProperties(schema);
const { $schema,...rest } = jsonSchema;
const { $schema, ...rest } = removeAdditionalProperties(schema);
return rest;

@@ -29,0 +27,0 @@ }

+5
-5
package.json
{
"name": "@langchain/google-genai",
"version": "2.1.18",
"version": "2.1.19",
"description": "Google Generative AI integration for LangChain.js",

@@ -21,3 +21,3 @@ "author": "LangChain",

"peerDependencies": {
"@langchain/core": "^1.1.23"
"@langchain/core": "^1.1.25"
},

@@ -39,6 +39,6 @@ "devDependencies": {

"zod": "^3.25.76",
"@langchain/core": "^1.1.23",
"@langchain/tsconfig": "0.0.1",
"@langchain/core": "^1.1.25",
"@langchain/eslint": "0.1.1",
"@langchain/standard-tests": "0.0.23",
"@langchain/eslint": "0.1.1"
"@langchain/tsconfig": "0.0.1"
},

@@ -45,0 +45,0 @@ "publishConfig": {

-25
dist/_virtual/rolldown_runtime.cjs
//#region rolldown:runtime
var __create = Object.create;
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __getProtoOf = Object.getPrototypeOf;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __copyProps = (to, from, except, desc) => {
if (from && typeof from === "object" || typeof from === "function") for (var keys = __getOwnPropNames(from), i = 0, n = keys.length, key; i < n; i++) {
key = keys[i];
if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, {
get: ((k) => from[k]).bind(null, key),
enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable
});
}
return to;
};
var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", {
value: mod,
enumerable: true
}) : target, mod));
//#endregion
exports.__toESM = __toESM;
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