fix(docker-usage): init

src/chains/videoSearchAgent.ts

@@ -13,20 +13,20 @@ import type { BaseChatModel } from '@langchain/core/language_models/chat_models'
 const VideoSearchChainPrompt = `
   You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
   You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
-  
+
   Example:
   1. Follow up question: How does a car work?
   Rephrased: How does a car work?
-  
+
   2. Follow up question: What is the theory of relativity?
   Rephrased: What is theory of relativity
-  
+
   3. Follow up question: How does an AC work?
   Rephrased: How does an AC work
-  
+
   Conversation:
   {chat_history}
-  
+
   Follow up question: {query}
   Rephrased question:
   `;

src/prompts/academicSearch.ts

@@ -50,7 +50,7 @@ export const academicSearchResponsePrompt = `
     - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
     - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
     - You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
-    
+
     ### Example Output
     - Begin with a brief introduction summarizing the event or query topic.
     - Follow with detailed sections under clear headings, covering all aspects of the query if possible.

src/prompts/redditSearch.ts

@@ -50,7 +50,7 @@ export const redditSearchResponsePrompt = `
     - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
     - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
     - You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
-    
+
     ### Example Output
     - Begin with a brief introduction summarizing the event or query topic.
     - Follow with detailed sections under clear headings, covering all aspects of the query if possible.

src/prompts/wolframAlpha.ts

@@ -50,7 +50,7 @@ export const wolframAlphaSearchResponsePrompt = `
     - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
     - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
     - You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
-    
+
     ### Example Output
     - Begin with a brief introduction summarizing the event or query topic.
     - Follow with detailed sections under clear headings, covering all aspects of the query if possible.

src/prompts/youtubeSearch.ts

@@ -50,7 +50,7 @@ export const youtubeSearchResponsePrompt = `
     - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
     - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
     - You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcrip
-    
+
     ### Example Output
     - Begin with a brief introduction summarizing the event or query topic.
     - Follow with detailed sections under clear headings, covering all aspects of the query if possible.

src/search/metaSearchAgent.ts

@@ -132,7 +132,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
             You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the 
             text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
             If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
-            
+
             - **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
             - **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
             - **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.