feat: update AI Text generator action to use version 1.2.0 for improv…

…ed functionality

feat: enhance input handling by adding support for prompt and system file paths to read content from files
feat: update message handling to allow reading message content from file paths, improving flexibility in input management

README.md

@@ -58,7 +58,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - name: Generate AI Text
-        uses: 0xjord4n/aixion@v1.1.0
+        uses: 0xjord4n/aixion@v1.2.0
         with:
           config: >
             {

dist/index.js

@@ -26,8 +26,20 @@ const path_1 = __importDefault(__nccwpck_require__(6928));
 exports["default"] = (input) => __awaiter(void 0, void 0, void 0, function* () {
     const llmResponse = yield (0, ai_1.generateText)({
         model: (0, provider_1.default)(input.provider, input.provider_options)(input.model),
-        prompt: input.prompt,
-        messages: input.messages,
+        prompt: input.prompt_path
+            ? fs_1.default.readFileSync(input.prompt_path, { encoding: "utf-8" })
+            : input.prompt,
+        system: input.system_path
+            ? fs_1.default.readFileSync(input.system_path, { encoding: "utf-8" })
+            : input.system,
+        messages: input.messages
+            ? input.messages.map((message) => ({
+                role: message.role,
+                content: message.content_path
+                    ? fs_1.default.readFileSync(message.content_path, { encoding: "utf-8" })
+                    : message.content,
+            }))
+            : undefined,
         maxTokens: input.max_tokens,
         temperature: input.temperature,
         topP: input.top_p,
@@ -134,13 +146,16 @@ exports.providerOptionsSchema = zod.object({
 exports.messageSchema = zod.object({
     role: zod.nativeEnum(types_1.Role),
     content: zod.string(),
+    content_path: zod.string().optional(),
 });
 exports.inputSchema = zod.object({
     provider: zod.nativeEnum(types_1.Provider),
     provider_options: exports.providerOptionsSchema,
     save_path: zod.string().optional(),
     prompt: zod.string().optional(),
+    prompt_path: zod.string().optional(),
     system: zod.string().optional(),
+    system_path: zod.string().optional(),
     messages: zod.array(exports.messageSchema).optional(),
     model: zod.string(),
     temperature: zod.number().optional(),

src/action.ts

@@ -9,8 +9,20 @@ import path from "path";
 export default async (input: z.infer<typeof inputSchema>): Promise<Output> => {
   const llmResponse = await generateText({
     model: provider(input.provider, input.provider_options)(input.model),
-    prompt: input.prompt,
-    messages: input.messages as CoreMessage[],
+    prompt: input.prompt_path
+      ? fs.readFileSync(input.prompt_path, { encoding: "utf-8" })
+      : input.prompt,
+    system: input.system_path
+      ? fs.readFileSync(input.system_path, { encoding: "utf-8" })
+      : input.system,
+    messages: input.messages
+      ? (input.messages.map((message) => ({
+          role: message.role,
+          content: message.content_path
+            ? fs.readFileSync(message.content_path, { encoding: "utf-8" })
+            : message.content,
+        })) as CoreMessage[])
+      : undefined,
     maxTokens: input.max_tokens,
     temperature: input.temperature,
     topP: input.top_p,

src/input.ts

@@ -10,14 +10,17 @@ export const providerOptionsSchema = zod.object({
 export const messageSchema = zod.object({
   role: zod.nativeEnum(Role),
   content: zod.string(),
+  content_path: zod.string().optional(),
 });
 
 export const inputSchema = zod.object({
   provider: zod.nativeEnum(Provider),
   provider_options: providerOptionsSchema,
   save_path: zod.string().optional(),
   prompt: zod.string().optional(),
+  prompt_path: zod.string().optional(),
   system: zod.string().optional(),
+  system_path: zod.string().optional(),
   messages: zod.array(messageSchema).optional(),
   model: zod.string(),
   temperature: zod.number().optional(),

src/types.ts

@@ -1,4 +1,4 @@
-import { CoreMessage, LanguageModelUsage } from "ai";
+import { LanguageModelUsage } from "ai";
 import type { LanguageModelV1FinishReason } from "@ai-sdk/provider";
 
 export enum Provider {