updated docs for missing prompt.yml model parameters

src/inference.ts

@@ -1,6 +1,6 @@
 import * as core from '@actions/core'
 import OpenAI from 'openai'
-import {GitHubMCPClient, executeToolCalls, ToolCall} from './mcp.js'
+import { GitHubMCPClient, executeToolCalls, ToolCall } from './mcp.js'
 
 interface ChatMessage {
   role: 'system' | 'user' | 'assistant' | 'tool'
@@ -10,7 +10,7 @@ interface ChatMessage {
 }
 
 export interface InferenceRequest {
-  messages: Array<{role: 'system' | 'user' | 'assistant' | 'tool'; content: string}>
+  messages: Array<{ role: 'system' | 'user' | 'assistant' | 'tool'; content: string }>
   modelName: string
   maxTokens?: number // Deprecated
   maxCompletionTokens?: number
@@ -18,7 +18,7 @@ export interface InferenceRequest {
   token: string
   temperature?: number
   topP?: number
-  responseFormat?: {type: 'json_schema'; json_schema: unknown} // Processed response format for the API
+  responseFormat?: { type: 'json_schema'; json_schema: unknown } // Processed response format for the API
   customHeaders?: Record<string, string> // Custom HTTP headers to include in API requests
 }
 
@@ -34,18 +34,17 @@ export interface InferenceResponse {
   }>
 }
 
-// Note: solution around models using different underlying max tokens properties
 
 /**
  * Build according to what input was passed, default to max_tokens.
  * Only one of max_tokens or max_completion_tokens will be set.
  */
-function buildMaxTokensParam(request: InferenceRequest): {max_tokens?: number; max_completion_tokens?: number} {
+function buildMaxTokensParam(request: InferenceRequest): { max_tokens?: number; max_completion_tokens?: number } {
   if (request.maxCompletionTokens != null) {
-    return {max_completion_tokens: request.maxCompletionTokens}
+    return { max_completion_tokens: request.maxCompletionTokens }
   }
   if (request.maxTokens != null) {
-    return {max_tokens: request.maxTokens}
+    return { max_tokens: request.maxTokens }
   }
   return {}
 }
@@ -115,7 +114,7 @@ export async function mcpInference(
       model: request.modelName,
       temperature: request.temperature,
       top_p: request.topP,
-      ...buildMaxTokensParam(request),
+      ...buildMaxTokensParam(request), // Note: solution around models using different underlying max tokens properties
     }
 
     // Add response format if specified (only on final iteration to avoid conflicts with tool calls)
@@ -138,7 +137,7 @@ export async function mcpInference(
       messages.push({
         role: 'assistant',
         content: modelResponse || '',
-        ...(toolCalls && {tool_calls: toolCalls as ToolCall[]}),
+        ...(toolCalls && { tool_calls: toolCalls as ToolCall[] }),
       })
 
       if (!toolCalls || toolCalls.length === 0) {