fix(llm.gblib): Tool fix. More templates.

packages/llm.gblib/services/ChatServices.ts

@@ -71,7 +71,7 @@ import {
   SQL_MYSQL_PROMPT
 } from 'langchain/chains/sql_db';
 import { GBUtil } from '../../../src/util.js';
-
+import { z } from 'zod';
 export interface CustomOutputParserFields {}
 export type ExpectedOutput = any;
 
@@ -475,7 +475,7 @@ export class ChatServices {
 
       result = res.text ? res.text : res;
       sources = res.sources;
-    } else if (LLMMode === 'function') {
+    } else if (LLMMode === 'tool') {
       result = await conversationalToolChain.invoke({
         question
       });
@@ -639,7 +639,8 @@ export class ChatServices {
 
         if (funcObj) {
           // TODO: Use ajv.
-          funcObj.schema = eval(jsonSchemaToZod(funcObj.parameters));
+          
+          funcObj.schema = jsonSchemaToZod(funcObj.parameters);
           functions.push(new DynamicStructuredTool(funcObj));
         }
       }

packages/llm.gblib/services/ImageServices.ts

@@ -79,4 +79,32 @@ export class ImageServices {
       return { localName, url };
     }
   }
+
+  public async getCaptionForImage({ pid, imageUrl }) {
+    const { min, user, params } = await DialogKeywords.getProcessInfo(pid);
+
+    const azureOpenAIKey = await min.core.getParam(min.instance, 'Azure Open AI Key', null);
+    const azureOpenAITextModel = 'gpt-4'; // Specify GPT-4 model here
+    const azureOpenAIEndpoint = await min.core.getParam(min.instance, 'Azure Open AI Endpoint', null);
+
+    if (azureOpenAIKey && azureOpenAITextModel && imageUrl) {
+      // Initialize the Azure OpenAI client
+      const client = new OpenAI({ apiKey: azureOpenAIKey, baseURL: azureOpenAIEndpoint });
+
+      // Construct a prompt to describe the image and generate a caption
+      const prompt = `Provide a descriptive caption for the image at the following URL: ${imageUrl}`;
+
+      // Generate a caption using GPT-4
+      const response = await client.completions.create({
+        model: azureOpenAITextModel,
+        prompt: prompt,
+        max_tokens: 50
+      });
+
+      const caption = response['data'].choices[0].text.trim();
+      GBLogEx.info(min, `Generated caption: ${caption}`);
+
+      return { caption };
+    }
+  }
 }

templates/llm-tools.gbai/llm-tools.gbdata/products.csv

@@ -0,0 +1,7 @@
+name,price
+Product A, 230
+Product B, 120
+Product C, 180
+Product D, 250
+Product E, 200
+Product F, 150

templates/llm-tools.gbai/llm-tools.gbdialog/describe-image-tool.bas

@@ -1,5 +1,4 @@
-PARAM image
+PARAM image AS STRING LIKE "https://server/image"
 DESCRIPTION Returns the description of the image that was sent with the previous user message. This tool is automatically invoked if a user uploads an image.
 
-
+DEBUG "Hello"
-

templates/llm-tools.gbai/llm-tools.gbdialog/generate-image-tool.bas

@@ -1,6 +1,4 @@
-
+PARAM prompt as STRING LIKE "Generate a cat."
-PARAM prompt
 DESCRIPTION Calls an artificial intelligence model to create an image. `prompt` parameter is a text description of the desired image.
-
+FIND
-
+RETURN "https://"
-

templates/llm-tools.gbai/llm-tools.gbdialog/get-price.bas

@@ -0,0 +1,6 @@
+PARAM product AS string LIKE "Product A"
+DESCRIPTION "Returns the price of the given product."
+
+product = FIND "products.csv", "name LIKE ${product}"
+price = product.price
+RETURN price

templates/llm-tools.gbai/llm-tools.gbdialog/search-tool.bas

@@ -1,2 +1,4 @@
-PARAM query
+PARAM query AS STRING LIKE "How is to code?"
-DESCRIPTION Returns search results in a JSON string. `query` parameter is a well-formed web search query.- `search_web(query: str) -> str` returns Bing search results in a JSON string. `query` parameter is a well-formed web search query.
+DESCRIPTION Returns search results in a JSON string. `query` parameter is a well-formed web search query.- `search_web(query: str) -> str` returns Bing search results in a JSON string. `query` parameter is a well-formed web search query.
+
+DEBUG "{}"

templates/llm-tools.gbai/llm-tools.gbdialog/start.bas

@@ -0,0 +1,9 @@
+BEGIN SYSTEM PROMPT
+
+There exist some helpful predefined internal tools which can help me by
+extending my functionalities or get me helpful information. 
+These tools **should** be abstracted away from the user. 
+These tools can be invoked only by me before I respond to a user. 
+Here is the list of my internal tools:
+
+END SYSTEM PROMPT

templates/llm-tools.gbai/llm-tools.gbot/config.csv

@@ -0,0 +1,2 @@
+name,value
+Answer Mode,tool

templates/marketing.gbai/marketing.gbdialog/poster.bas

@@ -5,7 +5,7 @@ pass = "*************"
 o = get "https://oooooooooo"
 
 # Criar a legenda para o post
-caption = REWRITE "Crie um post sobre Hotmart e seus produtos, no estilo dica do dia, incluindo 10 hashtags, estilo Instagram o texto! Importante, retorne só a saída de texto pronta"
+caption = REWRITE "Crie um post sobre produtos, no estilo dica do dia, incluindo 10 hashtags, estilo Instagram o texto! Importante, retorne só a saída de texto pronta"
 
 # Obter uma imagem relacionada ao conteúdo
 image = GET IMAGE caption