update dist
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@@ -141,7 +141,7 @@ modelParameters:
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```
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| Key | Type | Description |
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| --------------------- | ------ | -------------------------------------------------------------- |
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| --------------------- | ------ | ----------------------------------------------------- |
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| `maxCompletionTokens` | number | The maximum number of tokens to generate |
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| `maxTokens` | number | The maximum number of tokens to generate (deprecated) |
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| `temperature` | number | The sampling temperature to use (0-1) |
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@@ -304,7 +304,7 @@ Various inputs are defined in [`action.yml`](action.yml) to let you configure
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the action:
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| Name | Description | Default |
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| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------ |
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| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------ |
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| `token` | Token to use for inference. Typically the GITHUB_TOKEN secret | `github.token` |
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| `prompt` | The prompt to send to the model | N/A |
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| `prompt-file` | Path to a file containing the prompt (supports .txt and .prompt.yml formats). If both `prompt` and `prompt-file` are provided, `prompt-file` takes precedence | `""` |
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+1
-2
@@ -58300,7 +58300,6 @@ OpenAI.Responses = Responses;
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OpenAI.Evals = Evals;
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OpenAI.Containers = Containers;
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// Note: solution around models using different underlying max tokens properties
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/**
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* Build according to what input was passed, default to max_tokens.
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* Only one of max_tokens or max_completion_tokens will be set.
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@@ -58366,7 +58365,7 @@ async function mcpInference(request, githubMcpClient) {
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model: request.modelName,
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temperature: request.temperature,
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top_p: request.topP,
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...buildMaxTokensParam(request),
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...buildMaxTokensParam(request), // Note: solution around models using different underlying max tokens properties
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};
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// Add response format if specified (only on final iteration to avoid conflicts with tool calls)
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if (finalMessage && request.responseFormat) {
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+1
-1
File diff suppressed because one or more lines are too long
+7
-8
@@ -1,6 +1,6 @@
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import * as core from '@actions/core'
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import OpenAI from 'openai'
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import { GitHubMCPClient, executeToolCalls, ToolCall } from './mcp.js'
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import {GitHubMCPClient, executeToolCalls, ToolCall} from './mcp.js'
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interface ChatMessage {
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role: 'system' | 'user' | 'assistant' | 'tool'
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@@ -10,7 +10,7 @@ interface ChatMessage {
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}
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export interface InferenceRequest {
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messages: Array<{ role: 'system' | 'user' | 'assistant' | 'tool'; content: string }>
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messages: Array<{role: 'system' | 'user' | 'assistant' | 'tool'; content: string}>
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modelName: string
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maxTokens?: number // Deprecated
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maxCompletionTokens?: number
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@@ -18,7 +18,7 @@ export interface InferenceRequest {
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token: string
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temperature?: number
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topP?: number
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responseFormat?: { type: 'json_schema'; json_schema: unknown } // Processed response format for the API
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responseFormat?: {type: 'json_schema'; json_schema: unknown} // Processed response format for the API
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customHeaders?: Record<string, string> // Custom HTTP headers to include in API requests
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}
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@@ -34,17 +34,16 @@ export interface InferenceResponse {
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}>
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}
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/**
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* Build according to what input was passed, default to max_tokens.
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* Only one of max_tokens or max_completion_tokens will be set.
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*/
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function buildMaxTokensParam(request: InferenceRequest): { max_tokens?: number; max_completion_tokens?: number } {
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function buildMaxTokensParam(request: InferenceRequest): {max_tokens?: number; max_completion_tokens?: number} {
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if (request.maxCompletionTokens != null) {
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return { max_completion_tokens: request.maxCompletionTokens }
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return {max_completion_tokens: request.maxCompletionTokens}
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}
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if (request.maxTokens != null) {
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return { max_tokens: request.maxTokens }
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return {max_tokens: request.maxTokens}
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}
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return {}
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}
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@@ -137,7 +136,7 @@ export async function mcpInference(
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messages.push({
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role: 'assistant',
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content: modelResponse || '',
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...(toolCalls && { tool_calls: toolCalls as ToolCall[] }),
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...(toolCalls && {tool_calls: toolCalls as ToolCall[]}),
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})
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if (!toolCalls || toolCalls.length === 0) {
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