ai: generate: remove endpoint from experiment & remove beta from path

packages/api/src/controllers/generate.test.ts

@@ -71,6 +71,16 @@ afterEach(async () => {
   await clearDatabase(server);
 });
 
+const testBothRoutes = (testFn) => {
+  describe("generate route", () => {
+    testFn("/generate");
+  });
+
+  describe("beta generate route", () => {
+    testFn("/beta/generate");
+  });
+};
+
 describe("controllers/generate", () => {
   let client: TestClient;
   let adminUser: User;
@@ -145,9 +155,9 @@ describe("controllers/generate", () => {
     return form;
   };
 
-  describe("API proxies", () => {
-    it("should call the AI Gateway for generate API /audio-to-text", async () => {
-      const res = await client.fetch("/beta/generate/audio-to-text", {
+  testBothRoutes((basePath) => {
+    it(`should call the AI Gateway for ${basePath}/audio-to-text`, async () => {
+      const res = await client.fetch(`${basePath}/audio-to-text`, {
         method: "POST",
         body: buildMultipartBody(
           {},
@@ -162,8 +172,8 @@ describe("controllers/generate", () => {
       expect(aiGatewayCalls).toEqual({ "audio-to-text": 1 });
     });
 
-    it("should call the AI Gateway for generate API /text-to-image", async () => {
-      const res = await client.post("/beta/generate/text-to-image", {
+    it(`should call the AI Gateway for ${basePath}/text-to-image`, async () => {
+      const res = await client.post(`${basePath}/text-to-image`, {
         prompt: "a man in a suit and tie",
       });
       expect(res.status).toBe(200);
@@ -174,8 +184,8 @@ describe("controllers/generate", () => {
       expect(aiGatewayCalls).toEqual({ "text-to-image": 1 });
     });
 
-    it("should call the AI Gateway for generate API /image-to-image", async () => {
-      const res = await client.fetch("/beta/generate/image-to-image", {
+    it(`should call the AI Gateway for ${basePath}/image-to-image`, async () => {
+      const res = await client.fetch(`${basePath}/image-to-image`, {
         method: "POST",
         body: buildMultipartBody({
           prompt: "replace the suit with a bathing suit",
@@ -189,8 +199,8 @@ describe("controllers/generate", () => {
       expect(aiGatewayCalls).toEqual({ "image-to-image": 1 });
     });
 
-    it("should call the AI Gateway for generate API /image-to-video", async () => {
-      const res = await client.fetch("/beta/generate/image-to-video", {
+    it(`should call the AI Gateway for ${basePath}/image-to-video`, async () => {
+      const res = await client.fetch(`${basePath}/image-to-video`, {
         method: "POST",
         body: buildMultipartBody({}),
       });
@@ -202,8 +212,8 @@ describe("controllers/generate", () => {
       expect(aiGatewayCalls).toEqual({ "image-to-video": 1 });
     });
 
-    it("should call the AI Gateway for generate API /upscale", async () => {
-      const res = await client.fetch("/beta/generate/upscale", {
+    it(`should call the AI Gateway for ${basePath}/upscale`, async () => {
+      const res = await client.fetch(`${basePath}/upscale`, {
         method: "POST",
         body: buildMultipartBody({ prompt: "enhance" }),
       });
@@ -215,8 +225,8 @@ describe("controllers/generate", () => {
       expect(aiGatewayCalls).toEqual({ upscale: 1 });
     });
 
-    it("should call the AI Gateway for generate API /segment-anything-2", async () => {
-      const res = await client.fetch("/beta/generate/segment-anything-2", {
+    it(`should call the AI Gateway for ${basePath}/segment-anything-2`, async () => {
+      const res = await client.fetch(`${basePath}/segment-anything-2`, {
         method: "POST",
         body: buildMultipartBody({}),
       });
@@ -260,7 +270,7 @@ describe("controllers/generate", () => {
 
     for (const [title, input, error] of testCases) {
       it(title, async () => {
-        const res = await client.fetch("/beta/generate/image-to-image", {
+        const res = await client.fetch("/generate/image-to-image", {
           method: "POST",
           body: input,
         });
@@ -287,7 +297,7 @@ describe("controllers/generate", () => {
     }
 
     it("should log all requests to db", async () => {
-      const res = await client.post("/beta/generate/text-to-image", {
+      const res = await client.post("/generate/text-to-image", {
         prompt: "a man in a suit and tie",
       });
       expect(res.status).toBe(200);
@@ -325,7 +335,7 @@ describe("controllers/generate", () => {
         `{"details":{"msg":"sudden error"}}`,
       );
 
-      const res = await client.post("/beta/generate/text-to-image", {
+      const res = await client.post("/generate/text-to-image", {
         prompt: "a man in a suit and tie",
       });
       expect(res.status).toBe(500);
@@ -345,7 +355,7 @@ describe("controllers/generate", () => {
     it("should log non JSON outputs as strings to db", async () => {
       mockFetchHttpError(418, "text/plain", `I'm not Jason`);
 
-      const res = await client.post("/beta/generate/text-to-image", {
+      const res = await client.post("/generate/text-to-image", {
         prompt: "a man in a suit and tie",
       });
       expect(res.status).toBe(418);
@@ -364,7 +374,7 @@ describe("controllers/generate", () => {
       mockedFetchWithTimeout.mockImplementation(() => {
         throw new Error("on your face");
       });
-      const res = await client.post("/beta/generate/text-to-image", {
+      const res = await client.post("/generate/text-to-image", {
         prompt: "a man in a suit and tie",
       });
       expect(res.status).toBe(500);
@@ -394,10 +404,10 @@ describe("controllers/generate", () => {
 
     const makeAiGenReq = (pipeline: (typeof pipelines)[number]) =>
       pipeline === "text-to-image"
-        ? client.post(`/beta/generate/${pipeline}`, {
+        ? client.post(`/generate/${pipeline}`, {
             prompt: "whatever you feel like",
           })
-        : client.fetch(`/beta/generate/${pipeline}`, {
+        : client.fetch(`/generate/${pipeline}`, {
             method: "POST",
             body: buildMultipartBody(
               pipeline === "image-to-video" ? {} : { prompt: "make magic" },

packages/api/src/controllers/generate.ts

@@ -35,8 +35,6 @@ const aiGenerateDurationMetric = new promclient.Histogram({
 
 const app = Router();
 
-app.use(experimentSubjectsOnly("ai-generate"));
-
 const rateLimiter: RequestHandler = async (req, res, next) => {
   const now = Date.now();
   const [[{ count, min }]] = await db.aiGenerateLog.find(

packages/api/src/controllers/index.ts

@@ -34,6 +34,8 @@ export default {
   "api-token": apiToken,
   asset,
   auth,
+  generate,
+  // TODO: Remove beta paths
   "beta/generate": generate,
   broadcaster,
   clip,

packages/api/src/schema/ai-api-schema.yaml

@@ -1,6 +1,6 @@
 openapi: 3.1.0
 paths:
-  /api/beta/generate/text-to-image:
+  /api/generate/text-to-image:
     post:
       tags:
         - generate
@@ -60,7 +60,7 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: textToImage
-  /api/beta/generate/image-to-image:
+  /api/generate/image-to-image:
     post:
       tags:
         - generate
@@ -120,7 +120,7 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: imageToImage
-  /api/beta/generate/image-to-video:
+  /api/generate/image-to-video:
     post:
       tags:
         - generate
@@ -180,7 +180,7 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: imageToVideo
-  /api/beta/generate/upscale:
+  /api/generate/upscale:
     post:
       tags:
         - generate
@@ -240,7 +240,7 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: upscale
-  /api/beta/generate/audio-to-text:
+  /api/generate/audio-to-text:
     post:
       tags:
         - generate
@@ -308,7 +308,7 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: audioToText
-  /api/beta/generate/segment-anything-2:
+  /api/generate/segment-anything-2:
     post:
       tags:
         - generate
@@ -368,6 +368,65 @@ paths:
               schema:
                 $ref: '#/components/schemas/studio-api-error'
       x-speakeasy-name-override: segmentAnything2
+  /api/generate/llm:
+    post:
+      tags:
+        - generate
+      summary: LLM
+      description: Generate text using a language model.
+      operationId: genLLM
+      requestBody:
+        content:
+          application/x-www-form-urlencoded:
+            schema:
+              $ref: '#/components/schemas/Body_genLLM'
+        required: true
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/LLMResponse'
+        '400':
+          description: Bad Request
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: '#/components/schemas/HTTPError'
+                  - $ref: '#/components/schemas/studio-api-error'
+        '401':
+          description: Unauthorized
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: '#/components/schemas/HTTPError'
+                  - $ref: '#/components/schemas/studio-api-error'
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: '#/components/schemas/HTTPValidationError'
+                  - $ref: '#/components/schemas/studio-api-error'
+        '500':
+          description: Internal Server Error
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: '#/components/schemas/HTTPError'
+                  - $ref: '#/components/schemas/studio-api-error'
+        default:
+          description: Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/studio-api-error'
+      x-speakeasy-name-override: llm
 components:
   schemas:
     APIError:
@@ -414,6 +473,14 @@ components:
           title: Model Id
           description: Hugging Face model ID used for image generation.
           default: timbrooks/instruct-pix2pix
+        loras:
+          type: string
+          title: Loras
+          description: >-
+            A LoRA (Low-Rank Adaptation) model and its corresponding weight for
+            image generation. Example: { "latent-consistency/lcm-lora-sdxl":
+            1.0, "nerijs/pixel-art-xl": 1.2}.
+          default: ''
         strength:
           type: number
           title: Strength
@@ -533,6 +600,41 @@ components:
         - image
       title: Body_genImageToVideo
       additionalProperties: false
+    Body_genLLM:
+      properties:
+        prompt:
+          type: string
+          title: Prompt
+        model_id:
+          type: string
+          title: Model Id
+          default: ''
+        system_msg:
+          type: string
+          title: System Msg
+          default: ''
+        temperature:
+          type: number
+          title: Temperature
+          default: 0.7
+        max_tokens:
+          type: integer
+          title: Max Tokens
+          default: 256
+        history:
+          type: string
+          title: History
+          default: '[]'
+        stream:
+          type: boolean
+          title: Stream
+          default: false
+      type: object
+      required:
+        - prompt
+        - model_id
+      title: Body_genLLM
+      additionalProperties: false
     Body_genSegmentAnything2:
       properties:
         image:
@@ -544,7 +646,7 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for image generation.
-          default: 'facebook/sam2-hiera-large'
+          default: facebook/sam2-hiera-large
         point_coords:
           type: string
           title: Point Coords
@@ -667,6 +769,19 @@ components:
         - images
       title: ImageResponse
       description: Response model for image generation.
+    LLMResponse:
+      properties:
+        response:
+          type: string
+          title: Response
+        tokens_used:
+          type: integer
+          title: Tokens Used
+      type: object
+      required:
+        - response
+        - tokens_used
+      title: LLMResponse
     MasksResponse:
       properties:
         masks:
@@ -734,6 +849,14 @@ components:
           title: Model Id
           description: Hugging Face model ID used for image generation.
           default: SG161222/RealVisXL_V4.0_Lightning
+        loras:
+          type: string
+          title: Loras
+          description: >-
+            A LoRA (Low-Rank Adaptation) model and its corresponding weight for
+            image generation. Example: { "latent-consistency/lcm-lora-sdxl":
+            1.0, "nerijs/pixel-art-xl": 1.2}.
+          default: ''
         prompt:
           type: string
           title: Prompt

packages/api/src/schema/pull-ai-schema.js

@@ -62,8 +62,8 @@ const downloadAiSchema = async () => {
 
   // patches to the paths section
   schema.paths = mapObject(schema.paths, (path, value) => {
-    // prefix paths with /api/beta/generate
-    path = `/api/beta/generate${path}`;
+    // prefix paths with /api/generate
+    path = `/api/generate${path}`;
     // remove security field
     delete value.post.security;
     // add Studio API error as oneOf to all of the error responses