simple send req non chatgpt test

.gitignore

@@ -11,4 +11,5 @@ usage.txt
 /dalleimages
 /indexes
 /audiotemp
-/pickles
+/pickles
+.idea

models/openai_model.py

@@ -633,10 +633,14 @@ class Model:
             else:
                 await self.usage_service.update_usage(tokens_used)
         except Exception as e:
-            raise ValueError(
-                "The API returned an invalid response: "
-                + str(response["error"]["message"])
-            ) from e
+            traceback.print_exc()
+            if 'error' in response:
+                raise ValueError(
+                    "The API returned an invalid response: "
+                    + str(response["error"]["message"])
+                ) from e
+            else:
+                raise ValueError("The API returned an invalid response") from e
 
     @backoff.on_exception(
         backoff.expo,
@@ -1010,8 +1014,6 @@ class Model:
         stop=None,
         custom_api_key=None,
         is_chatgpt_request=False,
-    ) -> (
-        Tuple[dict, bool]
     ):  # The response, and a boolean indicating whether or not the context limit was reached.
         # Validate that  all the parameters are in a good state before we send the request
 
@@ -1057,7 +1059,7 @@ class Model:
                     headers=headers,
                 ) as resp:
                     response = await resp.json()
-                    # print(f"Payload -> {payload}")
+                    print(f"Payload -> {payload}")
                     # Parse the total tokens used for this request and response pair from the response
                     await self.valid_text_request(
                         response, model=self.model if model is None else model

tests/test_requests.py

@@ -0,0 +1,21 @@
+from pathlib import Path
+
+import pytest
+from models.openai_model import Models, Model
+from transformers import GPT2TokenizerFast
+import asyncio
+
+from services.usage_service import UsageService
+import os
+
+# Non-ChatGPT
+@pytest.mark.asyncio
+async def test_send_req():
+
+    usage_service = UsageService(Path("../tests"))
+    model = Model(usage_service)
+    prompt = 'how many hours are in a day?'
+    tokens = len(GPT2TokenizerFast.from_pretrained("gpt2")(prompt)["input_ids"])
+    # tokens = 60
+    res = await model.send_request(prompt, tokens)
+    assert '24' in res['choices'][0]['text']