Merge with main

src/helpers.ts

@@ -82,6 +82,8 @@ export function buildInferenceRequest(
   systemPrompt: string | undefined,
   prompt: string | undefined,
   modelName: string,
+  temperature: number | undefined,
+  topP: number | undefined,
   maxTokens: number,
   endpoint: string,
   token: string,
@@ -92,6 +94,8 @@ export function buildInferenceRequest(
   return {
     messages,
     modelName,
+    temperature,
+    topP,
     maxTokens,
     endpoint,
     token,

src/inference.ts

@@ -15,6 +15,8 @@ export interface InferenceRequest {
   maxTokens: number
   endpoint: string
   token: string
+  temperature?: number
+  topP?: number
   responseFormat?: {type: 'json_schema'; json_schema: unknown} // Processed response format for the API
 }
 
@@ -45,6 +47,8 @@ export async function simpleInference(request: InferenceRequest): Promise<string
     messages: request.messages as OpenAI.Chat.Completions.ChatCompletionMessageParam[],
     max_tokens: request.maxTokens,
     model: request.modelName,
+    temperature: request.temperature,
+    top_p: request.topP,
   }
 
   // Add response format if specified
@@ -90,6 +94,8 @@ export async function mcpInference(
       messages: messages as OpenAI.Chat.Completions.ChatCompletionMessageParam[],
       max_tokens: request.maxTokens,
       model: request.modelName,
+      temperature: request.temperature,
+      top_p: request.topP,
     }
 
     // Add response format if specified (only on final iteration to avoid conflicts with tool calls)

src/main.ts

@@ -53,7 +53,11 @@ export async function run(): Promise<void> {
 
     // Get common parameters
     const modelName = promptConfig?.model || core.getInput('model')
-    const maxTokens = parseInt(core.getInput('max-tokens'), 10)
+    let maxTokens = promptConfig?.modelParameters?.maxTokens ?? core.getInput('max-tokens')
+
+    if (typeof maxTokens === 'string') {
+      maxTokens = parseInt(maxTokens, 10)
+    }
 
     const token = process.env['GITHUB_TOKEN'] || core.getInput('token')
     if (token === undefined) {
@@ -72,6 +76,8 @@ export async function run(): Promise<void> {
       systemPrompt,
       prompt,
       modelName,
+      promptConfig?.modelParameters?.temperature,
+      promptConfig?.modelParameters?.topP,
       maxTokens,
       endpoint,
       token,

src/prompt.ts

@@ -7,9 +7,16 @@ export interface PromptMessage {
   content: string
 }
 
+export interface ModelParameters {
+  maxTokens?: number
+  temperature?: number
+  topP?: number
+}
+
 export interface PromptConfig {
   messages: PromptMessage[]
   model?: string
+  modelParameters?: ModelParameters
   responseFormat?: 'text' | 'json_schema'
   jsonSchema?: string
 }
@@ -101,11 +108,8 @@ export function loadPromptFile(filePath: string, templateVariables: TemplateVari
 
   const fileContent = fs.readFileSync(filePath, 'utf-8')
 
-  // Apply template variable substitution
-  const processedContent = replaceTemplateVariables(fileContent, templateVariables)
-
   try {
-    const config = yaml.load(processedContent) as PromptConfig
+    const config = yaml.load(fileContent) as PromptConfig
 
     if (!config.messages || !Array.isArray(config.messages)) {
       throw new Error('Prompt file must contain a "messages" array')
@@ -121,6 +125,14 @@ export function loadPromptFile(filePath: string, templateVariables: TemplateVari
       }
     }
 
+    // Prepare messages by replacing template variables with actual content
+    config.messages = config.messages.map(msg => {
+      return {
+        ...msg,
+        content: replaceTemplateVariables(msg.content, templateVariables),
+      }
+    })
+
     return config
   } catch (error) {
     throw new Error(`Failed to parse prompt file: ${error instanceof Error ? error.message : 'Unknown error'}`)