Merge branch 'main' into dependabot/npm_and_yarn/lodash-4.17.23

README.md

@@ -288,6 +288,8 @@ the action:
 | `model`              | The model to use for inference. Must be available in the [GitHub Models](https://github.com/marketplace?type=models) catalog                                                                                       | `openai/gpt-4o`                      |
 | `endpoint`           | The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint                                                                              | `https://models.github.ai/inference` |
 | `max-tokens`         | The max number of tokens to generate                                                                                                                                                                               | 200                                  |
+| `temperature`        | The sampling temperature to use (0-1)                                                                                                                                                                              | `""`                                 |
+| `top-p`              | The nucleus sampling parameter to use (0-1)                                                                                                                                                                        | `""`                                 |
 | `enable-github-mcp`  | Enable Model Context Protocol integration with GitHub tools                                                                                                                                                        | `false`                              |
 | `github-mcp-token`   | Token to use for GitHub MCP server (defaults to the main token if not specified).                                                                                                                                  | `""`                                 |
 | `custom-headers`     | Custom HTTP headers to include in API requests. Supports both YAML format (`header1: value1`) and JSON format (`{"header1": "value1"}`). Useful for API Management platforms, rate limiting, and request tracking. | `""`                                 |

action.yml

@@ -46,6 +46,14 @@ inputs:
     description: The maximum number of tokens to generate
     required: false
     default: '200'
+  temperature:
+    description: The sampling temperature to use (0-1)
+    required: false
+    default: ''
+  top-p:
+    description: The nucleus sampling parameter to use (0-1)
+    required: false
+    default: ''
   token:
     description: The token to use
     required: false

dist/index.js

@@ -61548,11 +61548,16 @@ async function run() {
         const githubMcpToken = coreExports.getInput('github-mcp-token') || token;
         const githubMcpToolsets = coreExports.getInput('github-mcp-toolsets');
         const endpoint = coreExports.getInput('endpoint');
+        // Get temperature and topP (prompt YAML modelParameters takes precedence over action inputs)
+        const temperatureInput = coreExports.getInput('temperature');
+        const topPInput = coreExports.getInput('top-p');
+        const temperature = promptConfig?.modelParameters?.temperature ?? (temperatureInput ? parseFloat(temperatureInput) : undefined);
+        const topP = promptConfig?.modelParameters?.topP ?? (topPInput ? parseFloat(topPInput) : undefined);
         // Parse custom headers
         const customHeadersInput = coreExports.getInput('custom-headers');
         const customHeaders = parseCustomHeaders(customHeadersInput);
         // Build the inference request with pre-processed messages and response format
-        const inferenceRequest = buildInferenceRequest(promptConfig, systemPrompt, prompt, modelName, promptConfig?.modelParameters?.temperature, promptConfig?.modelParameters?.topP, maxTokens, endpoint, token, customHeaders);
+        const inferenceRequest = buildInferenceRequest(promptConfig, systemPrompt, prompt, modelName, temperature, topP, maxTokens, endpoint, token, customHeaders);
         const enableMcp = coreExports.getBooleanInput('enable-github-mcp') || false;
         let modelResponse = null;
         if (enableMcp) {

src/main.ts

@@ -65,6 +65,13 @@ export async function run(): Promise<void> {
 
     const endpoint = core.getInput('endpoint')
 
+    // Get temperature and topP (prompt YAML modelParameters takes precedence over action inputs)
+    const temperatureInput = core.getInput('temperature')
+    const topPInput = core.getInput('top-p')
+    const temperature =
+      promptConfig?.modelParameters?.temperature ?? (temperatureInput ? parseFloat(temperatureInput) : undefined)
+    const topP = promptConfig?.modelParameters?.topP ?? (topPInput ? parseFloat(topPInput) : undefined)
+
     // Parse custom headers
     const customHeadersInput = core.getInput('custom-headers')
     const customHeaders = parseCustomHeaders(customHeadersInput)
@@ -75,8 +82,8 @@ export async function run(): Promise<void> {
       systemPrompt,
       prompt,
       modelName,
-      promptConfig?.modelParameters?.temperature,
+      temperature,
-      promptConfig?.modelParameters?.topP,
+      topP,
       maxTokens,
       endpoint,
       token,