New Framework for idea proposal and implementation on RD-Agent (#34)

* Commit init framework

* Co-authored-by: Yuante Li (FESCO Adecco Human Resources) <v-yuanteli@microsoft.com>
Co-authored-by: XianBW <XianBW@users.noreply.github.com>

* add an import

* refine the whole framework

* benchmark related framework

* fix black and isort errors

* move requirements to folder

* fix black again

---------

Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: xuyang1 <xuyang1@microsoft.com>

test/oai/test_completion.py

@@ -10,7 +10,8 @@ class TestChatCompletion(unittest.TestCase):
         system_prompt = "You are a helpful assistant."
         user_prompt = "What is your name?"
         response = APIBackend().build_messages_and_create_chat_completion(
-            system_prompt=system_prompt, user_prompt=user_prompt,
+            system_prompt=system_prompt,
+            user_prompt=user_prompt,
         )
         assert response is not None
         assert isinstance(response, str)
@@ -19,7 +20,9 @@ class TestChatCompletion(unittest.TestCase):
         system_prompt = "You are a helpful assistant. answer in Json format."
         user_prompt = "What is your name?"
         response = APIBackend().build_messages_and_create_chat_completion(
-            system_prompt=system_prompt, user_prompt=user_prompt, json_mode=True,
+            system_prompt=system_prompt,
+            user_prompt=user_prompt,
+            json_mode=True,
         )
         assert response is not None
         assert isinstance(response, str)

test/oai/test_embedding_and_similarity.py

@@ -1,6 +1,9 @@
 import unittest
 
-from rdagent.oai.llm_utils import APIBackend, calculate_embedding_distance_between_str_list
+from rdagent.oai.llm_utils import (
+    APIBackend,
+    calculate_embedding_distance_between_str_list,
+)
 
 
 class TestEmbedding(unittest.TestCase):
@@ -17,5 +20,6 @@ class TestEmbedding(unittest.TestCase):
         min_similarity_threshold = 0.8
         assert similarity >= min_similarity_threshold
 
+
 if __name__ == "__main__":
     unittest.main()