Perplexica/src/lib/providers/gemini.ts
data5650 3582695054
feat: add Gemini 2.0 Flash Exp models
# Description
   Added two new Gemini models:
   - gemini-2.0-flash-exp
   - gemini-2.0-flash-thinking-exp-01-21

   # Changes Made
   - Updated src/lib/providers/gemini.ts to include new models
   - Maintained consistent configuration with existing models

   # Testing
   - Tested locally using Docker
   - Verified models appear in UI and are selectable
   - Confirmed functionality with sample queries

   # Additional Notes
   These models expand the available options for users who want to use the latest Gemini capabilities.
2025-02-05 00:47:34 +01:00

85 lines
2.2 KiB
TypeScript

import {
ChatGoogleGenerativeAI,
GoogleGenerativeAIEmbeddings,
} from '@langchain/google-genai';
import { getGeminiApiKey } from '../../config';
import logger from '../../utils/logger';
export const loadGeminiChatModels = async () => {
const geminiApiKey = getGeminiApiKey();
if (!geminiApiKey) return {};
try {
const chatModels = {
'gemini-1.5-flash': {
displayName: 'Gemini 1.5 Flash',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-flash',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-1.5-flash-8b': {
displayName: 'Gemini 1.5 Flash 8B',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-flash-8b',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-1.5-pro': {
displayName: 'Gemini 1.5 Pro',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-1.5-pro',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-exp': {
displayName: 'Gemini 2.0 Flash Exp',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-exp',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
'gemini-2.0-flash-thinking-exp-01-21': {
displayName: 'Gemini 2.0 Flash Thinking Exp 01-21',
model: new ChatGoogleGenerativeAI({
modelName: 'gemini-2.0-flash-thinking-exp-01-21',
temperature: 0.7,
apiKey: geminiApiKey,
}),
},
};
return chatModels;
} catch (err) {
logger.error(`Error loading Gemini models: ${err}`);
return {};
}
};
export const loadGeminiEmbeddingsModels = async () => {
const geminiApiKey = getGeminiApiKey();
if (!geminiApiKey) return {};
try {
const embeddingModels = {
'text-embedding-004': {
displayName: 'Text Embedding',
model: new GoogleGenerativeAIEmbeddings({
apiKey: geminiApiKey,
modelName: 'text-embedding-004',
}),
},
};
return embeddingModels;
} catch (err) {
logger.error(`Error loading Gemini embeddings model: ${err}`);
return {};
}
};