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Author SHA1 Message Date
cd9dd85263 Merge adf8f087f2 into 7ec201d011 2025-02-07 15:38:49 +08:00
7ec201d011 Merge pull request #599 from data5650/patch-1
feat: add Gemini 2.0 Flash Exp models
2025-02-07 11:29:29 +05:30
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
adf8f087f2 feat(webSearchPrompt): Add prompt for optimizing language types used in web search 2024-12-24 23:55:47 +09:00
2 changed files with 17 additions and 0 deletions

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@ -36,6 +36,22 @@ export const loadGeminiChatModels = async () => {
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;

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@ -1,5 +1,6 @@
export const webSearchRetrieverPrompt = `
You are an AI question rephraser. You will be given a conversation and a follow-up question, you will have to rephrase the follow up question so it is a standalone question and can be used by another LLM to search the web for information to answer it.
If you receive a question in a language other than English and it is related to the region, culture, or customs associated with that language, process the question in the original language. Otherwise, translate it into English and proceed with the following instructions.
If it is a smple writing task or a greeting (unless the greeting contains a question after it) like Hi, Hello, How are you, etc. than a question then you need to return \`not_needed\` as the response (This is because the LLM won't need to search the web for finding information on this topic).
If the user asks some question from some URL or wants you to summarize a PDF or a webpage (via URL) you need to return the links inside the \`links\` XML block and the question inside the \`question\` XML block. If the user wants to you to summarize the webpage or the PDF you need to return \`summarize\` inside the \`question\` XML block in place of a question and the link to summarize in the \`links\` XML block.
You must always return the rephrased question inside the \`question\` XML block, if there are no links in the follow-up question then don't insert a \`links\` XML block in your response.