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Milder Hernandez
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Java: Add chat resources for learn docs (microsoft#6243)
### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [ ] The code builds clean without any errors or warnings - [ ] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [ ] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone 😄
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‎java/samples/semantickernel-learn-resources/src/main/java/com/microsoft/semantickernel/samples/documentationexamples/SerializingPrompts.java‎

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@@ -39,7 +39,7 @@ public class SerializingPrompts {
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private static final String MODEL_ID = System.getenv()
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.getOrDefault("MODEL_ID", "gpt-3.5-turbo");
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private static final String PLUGINS_DIR = "java/samples/semantickernel-syntax-examples/src/main/resources/Plugins";
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private static final String PLUGINS_DIR = "java/samples/semantickernel-learn-resources/src/main/resources/Plugins";
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public static void main(String[] args) throws IOException {
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System.out.println("======== Serializing Prompts ========");

‎java/samples/semantickernel-learn-resources/src/main/resources/Plugins/Prompts/Chat/config.json‎

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{
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"schema": 1,
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"type": "completion",
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"description": "Creates a chat response to the user",
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"execution_settings": {
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"default": {
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"max_tokens": 1000,
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"temperature": 0
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},
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"gpt-3.5-turbo": {
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"model_id": "gpt-3.5-turbo-0613",
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"max_tokens": 4000,
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"temperature": 0.1
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},
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"gpt-4": {
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"model_id": "gpt-4-1106-preview",
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"max_tokens": 8000,
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"temperature": 0.3
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}
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},
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"input_variables": [
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{
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"name": "request",
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"description": "The user's request.",
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"required": true
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},
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{
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"name": "history",
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"description": "The history of the conversation.",
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"required": true
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}
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]
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}

‎java/samples/semantickernel-learn-resources/src/main/resources/Plugins/Prompts/Chat/skprompt.txt‎

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{{ConversationSummaryPlugin.SummarizeConversation $history}}
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User: {{$request}}
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Assistant:

‎java/samples/semantickernel-learn-resources/src/main/resources/Plugins/Prompts/getIntent.prompt.yaml‎

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name: getIntent
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description: Gets the intent of the user.
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template: |
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<message role="system">Instructions: What is the intent of this request?
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Do not explain the reasoning, just reply back with the intent. If you are unsure, reply with {{choices.[0]}}.
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Choices: {{choices}}.</message>
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{{#each fewShotExamples}}
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{{#each this}}
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<message role="{{role}}">{{content}}</message>
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{{/each}}
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{{/each}}
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<message role="assistant">Summary of conversation so far:
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{{ConversationSummaryPlugin-SummarizeConversation history}}
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</message>
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<message role="user">{{request}}</message>
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<message role="system">Intent:</message>
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template_format: handlebars
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input_variables:
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- name: choices
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description: The choices for the AI to choose from
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default: ContinueConversation, EndConversation
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- name: fewShotExamples
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description: Few shot examples for the AI to learn from
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is_required: true
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- name: request
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description: The user's request
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is_required: true
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execution_settings:
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default:
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max_tokens: 10
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temperature: 0
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gpt-3.5-turbo:
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model_id: gpt-35-turbo-2
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max_tokens: 10
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temperature: 0.2
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gpt-4:
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model_id: gpt-4-1106-preview
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max_tokens: 10
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temperature: 0.2

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