feat: +hello.py oas3

.well-known/metagpt_oas3_api.yaml

@@ -101,4 +101,89 @@ paths:
         '400':
           description: "Bad Request"
         '500':
-          description: "Internal Server Error"
+          description: "Internal Server Error"
+  /txt2embedding/openai:
+    post:
+      summary: Text to embedding
+      operationId: openai_text_2_embedding.oas3_openai_text_2_embedding
+      description: Retrieve an embedding for the provided text using the OpenAI API.
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
+              properties:
+                input:
+                  type: string
+                  description: The text used for embedding.
+                model:
+                  type: string
+                  description: "ID of the model to use. For more details, checkout: [models](https://api.openai.com/v1/models)"
+                  enum:
+                    - text-embedding-ada-002
+      responses:
+        "200":
+          description: Successful response
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ResultEmbedding"
+        "4XX":
+          description: Client error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Error"
+        "5XX":
+          description: Server error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Error"
+components:
+  schemas:
+    Embedding:
+      type: object
+      description: Represents an embedding vector returned by the embedding endpoint.
+      properties:
+        object:
+          type: string
+          example: embedding
+        embedding:
+          type: array
+          items:
+            type: number
+          example: [0.0023064255, -0.009327292, ...]
+        index:
+          type: integer
+          example: 0
+    Usage:
+      type: object
+      properties:
+        prompt_tokens:
+          type: integer
+          example: 8
+        total_tokens:
+          type: integer
+          example: 8
+    ResultEmbedding:
+      type: object
+      properties:
+        object:
+          type: string
+          example: result_embedding
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Embedding"
+        model:
+          type: string
+          example: text-embedding-ada-002
+        usage:
+          $ref: "#/components/schemas/Usage"
+    Error:
+      type: object
+      properties:
+        error:
+          type: string
+          example: An error occurred