feat(gemini): add Gemini 2.5 Flash & Pro preview models (May 2025)

[koyasi777]

No description provided.

[neekersen]

I revised to the latest models acc. to Jun 2025. @koyasi777 @ItzCrazyKns
Source: https://ai.google.dev/gemini-api/docs/models

import {
ChatGoogleGenerativeAI,
GoogleGenerativeAIEmbeddings,
} from '@langchain/google-genai';
import { getGeminiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';

export const PROVIDER_INFO = {
key: 'gemini',
displayName: 'Google Gemini',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';

const geminiChatModels: Record<string, string>[] = [
{
displayName: 'Gemini 2.5 Flash Preview 05-20',
key: 'gemini-2.5-flash-preview-05-20',
},
{
displayName: 'Gemini 2.5 Pro Preview',
key: 'gemini-2.5-pro-preview-06-05',
},
{
displayName: 'Gemini 2.0 Flash',
key: 'gemini-2.0-flash',
},
{
displayName: 'Gemini 2.0 Flash-Lite',
key: 'gemini-2.0-flash-lite',
},
{
displayName: 'Gemini 1.5 Flash',
key: 'gemini-1.5-flash',
},
{
displayName: 'Gemini 1.5 Flash-8B',
key: 'gemini-1.5-flash-8b',
},
{
displayName: 'Gemini 1.5 Pro',
key: 'gemini-1.5-pro',
},
];

const geminiEmbeddingModels: Record<string, string>[] = [
{
displayName: 'Gemini Embedding',
key: 'gemini-embedding-exp',
},
{
displayName: 'Text Embedding 004',
key: 'models/text-embedding-004',
},
{
displayName: 'Embedding 001',
key: 'models/embedding-001',
},
];

export const loadGeminiChatModels = async () => {
const geminiApiKey = getGeminiApiKey();

if (!geminiApiKey) return {};

try {
const chatModels: Record<string, ChatModel> = {};

geminiChatModels.forEach((model) => {
  chatModels[model.key] = {
    displayName: model.displayName,
    model: new ChatGoogleGenerativeAI({
      apiKey: geminiApiKey,
      modelName: model.key,
      temperature: 0.7,
    }) as unknown as BaseChatModel,
  };
});

return chatModels;

} catch (err) {
console.error(Error loading Gemini models: ${err});
return {};
}
};

export const loadGeminiEmbeddingModels = async () => {
const geminiApiKey = getGeminiApiKey();

if (!geminiApiKey) return {};

try {
const embeddingModels: Record<string, EmbeddingModel> = {};

geminiEmbeddingModels.forEach((model) => {
  embeddingModels[model.key] = {
    displayName: model.displayName,
    model: new GoogleGenerativeAIEmbeddings({
      apiKey: geminiApiKey,
      modelName: model.key,
    }) as unknown as Embeddings,
  };
});

return embeddingModels;

} catch (err) {
console.error(Error loading OpenAI embeddings models: ${err});
return {};
}
};

[ItzCrazyKns]

Thanks!

[neekersen]

Updated version acc. to the date 21 Jun 2025. @ItzCrazyKns
Source: https://ai.google.dev/gemini-api/docs/models

import {
ChatGoogleGenerativeAI,
GoogleGenerativeAIEmbeddings,
} from '@langchain/google-genai';
import { getGeminiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';

export const PROVIDER_INFO = {
key: 'gemini',
displayName: 'Google Gemini',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';

const geminiChatModels: Record<string, string>[] = [
{
displayName: 'Gemini 2.5 Pro',
key: 'gemini-2.5-pro',
},
{
displayName: 'Gemini 2.5 Flash',
key: 'gemini-2.5-flash',
},
{
displayName: 'Gemini 2.5 Flash-Lite Preview',
key: 'gemini-2.5-flash-lite-preview-06-17',
},
{
displayName: 'Gemini 2.5 Flash Preview 05-20',
key: 'gemini-2.5-flash-preview-05-20',
},
{
displayName: 'Gemini 2.5 Pro Preview',
key: 'gemini-2.5-pro-preview-06-05',
},
{
displayName: 'Gemini 2.0 Flash',
key: 'gemini-2.0-flash',
},
{
displayName: 'Gemini 2.0 Flash-Lite',
key: 'gemini-2.0-flash-lite',
},
{
displayName: 'Gemini 1.5 Flash',
key: 'gemini-1.5-flash',
},
{
displayName: 'Gemini 1.5 Flash-8B',
key: 'gemini-1.5-flash-8b',
},
{
displayName: 'Gemini 1.5 Pro',
key: 'gemini-1.5-pro',
},
];

const geminiEmbeddingModels: Record<string, string>[] = [
{
displayName: 'Gemini Embedding',
key: 'gemini-embedding-exp',
},
{
displayName: 'Text Embedding 004',
key: 'models/text-embedding-004',
},
{
displayName: 'Embedding 001',
key: 'models/embedding-001',
},
];

export const loadGeminiChatModels = async () => {
const geminiApiKey = getGeminiApiKey();

if (!geminiApiKey) return {};

try {
const chatModels: Record<string, ChatModel> = {};

geminiChatModels.forEach((model) => {
  chatModels[model.key] = {
    displayName: model.displayName,
    model: new ChatGoogleGenerativeAI({
      apiKey: geminiApiKey,
      modelName: model.key,
      temperature: 0.7,
    }) as unknown as BaseChatModel,
  };
});

return chatModels;

} catch (err) {
console.error(Error loading Gemini models: ${err});
return {};
}
};

export const loadGeminiEmbeddingModels = async () => {
const geminiApiKey = getGeminiApiKey();

if (!geminiApiKey) return {};

try {
const embeddingModels: Record<string, EmbeddingModel> = {};

geminiEmbeddingModels.forEach((model) => {
  embeddingModels[model.key] = {
    displayName: model.displayName,
    model: new GoogleGenerativeAIEmbeddings({
      apiKey: geminiApiKey,
      modelName: model.key,
    }) as unknown as Embeddings,
  };
});

return embeddingModels;

} catch (err) {
console.error(Error loading OpenAI embeddings models: ${err});
return {};
}
};