updated

Author: Nursid

docs/api/llm/inference.md

@@ -7,11 +7,12 @@ cbbaseinfo:
 cbparameters:
   parameters:
     - name: message
-      typeName: string
+      typeName: object
       description: The input message or prompt to be sent to the LLM.
     - name: llmrole
       typeName: string
-      description: The role of the LLM to determine which model to use.
+      description: The role of the LLM to determine which model to use
+      
   returns:
     signatureTypeName: Promise
     description: A promise that resolves with the LLM's response.
@@ -28,22 +29,33 @@ data:
 
 ### Example 
 
-```js 
+```bash
+js 
 
-const question = "Write an API to get all users from the User Table.";
-const llmRole = "assistant";
+let message={
+    messages:[{
+        "role":"system",
+        "content":"you are developer agent expert in writing code"
+    },{
+        "role":"user",
+        "content":"crete node js project"
+    }],
+    tools:[],
+    tool_choice: "auto",//if useing any tools
+}
 
-const response = codebolt.llm.inference(question, llmRole);
-console.log(response);
 
+const response = codebolt.llm.inference(message);
+console.log(response);
 
 ```
 
 
+
 ### Explaination
 
 The codebolt.llm.inference function allows you to send an inference request to a Large Language Model (LLM) and retrieves the model's response. It has two parameter: 
 
 question (string): This parameter represents the input question or prompt you want to send to the LLM for inference.
 
-llmRole (string): This parameter specifies the role or type of Large Language Model (LLM) you want to use for inference. The role determines which variant of the LLM is selected for processing the input question and generating the response.
+llmRole (string): This parameter specifies the role or type of Large Language Model (LLM) you want to use for inference. The role determines which variant of the LLM is selected for processing the input question and generating the response. LLMs role can be optional.