adds documentation for chat API

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Markus Klenke 2024-02-10 22:58:50 +00:00
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sidebar_position: 5
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# Chat
This API lets you create a conversation with LLMs. Using this API enables you to ask questions to the model including
information using the history of already asked questions and the respective answers.
## Create a new conversation and use chat history to augment follow up questions
```java
public class Main {
public static void main(String[] args) {
String host = "http://localhost:11434/";
OllamaAPI ollamaAPI = new OllamaAPI(host);
OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAMA2);
// create first user question
OllamaChatRequestModel requestModel = builder.withMessage(OllamaChatMessageRole.USER,"What is the capital of France?")
.build();
// start conversation with model
OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
System.out.println("First answer: " + chatResult.getResponse());
// create next userQuestion
requestModel = builder.withMessages(chatResult.getChatHistory()).withMessage(OllamaChatMessageRole.USER,"And what is the second largest city?").build();
// "continue" conversation with model
chatResult = ollamaAPI.chat(requestModel);
System.out.println("Second answer: " + chatResult.getResponse());
System.out.println("Chat History: " + chatResult.getChatHistory());
}
}
```
You will get a response similar to:
> First answer: Should be Paris!
>
> Second answer: Marseille.
>
> Chat History:
```json
[ {
"role" : "user",
"content" : "What is the capital of France?",
"images" : [ ]
}, {
"role" : "assistant",
"content" : "Should be Paris!",
"images" : [ ]
}, {
"role" : "user",
"content" : "And what is the second largest city?",
"images" : [ ]
}, {
"role" : "assistant",
"content" : "Marseille.",
"images" : [ ]
} ]
```
## Create a new conversation with individual system prompt
```java
public class Main {
public static void main(String[] args) {
String host = "http://localhost:11434/";
OllamaAPI ollamaAPI = new OllamaAPI(host);
OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAMA2);
// create request with system-prompt (overriding the model defaults) and user question
OllamaChatRequestModel requestModel = builder.withMessage(OllamaChatMessageRole.SYSTEM, "You are a silent bot that only says 'NI'. Do not say anything else under any circumstances!")
.withMessage(OllamaChatMessageRole.USER,"What is the capital of France? And what's France's connection with Mona Lisa?")
.build();
// start conversation with model
OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
System.out.println(chatResult.getResponse());
}
}
```
You will get a response similar to:
> NI.