Update the version to 0.1.24 (#347)

Signed-off-by: SimFG <[email protected]>

docs/release_note.md

@@ -5,6 +5,42 @@ To read the following content, you need to understand the basic use of GPTCache,
 - [Readme doc](https://github.com/zilliztech/GPTCache)
 - [Usage doc](https://github.com/zilliztech/GPTCache/blob/main/docs/usage.md)
 
+## v0.1.24 (2023.5.15)
+
+1. Support the langchain embedding
+
+```python
+from gptcache.embedding import LangChain
+from langchain.embeddings.openai import OpenAIEmbeddings
+
+test_sentence = 'Hello, world.'
+embeddings = OpenAIEmbeddings(model="your-embeddings-deployment-name")
+encoder = LangChain(embeddings=embeddings)
+embed = encoder.to_embeddings(test_sentence)
+```
+
+2. Add gptcache client
+
+```python
+from gptcache import Client
+
+client = Client()
+client.put("Hi", "Hi back")
+ans = client.get("Hi")
+```
+
+3. Support pgvector as vector store
+
+```python
+from gptcache.manager import manager_factory
+
+data_manager = manager_factory("sqlite,pgvector", vector_params={"dimension": 10})
+```
+
+4. Add the GPTCache server doc
+
+reference: https://github.com/zilliztech/GPTCache/blob/main/docs/usage.md#Build-GPTCache-server
+
 ## v0.1.23 (2023.5.11)
 
 1. Support the session for the `LangChainLLMs`

gptcache/adapter/openai.py

@@ -1,16 +1,13 @@
-import time
-from typing import Iterator, Any
-
-import os
-import openai
-
 import base64
+import os
+import time
 from io import BytesIO
+from typing import Iterator, Any
 
-from gptcache.utils import import_pillow
-from gptcache.utils.error import CacheError
 from gptcache.adapter.adapter import adapt
 from gptcache.manager.scalar_data.base import Answer, DataType
+from gptcache.utils import import_openai, import_pillow
+from gptcache.utils.error import CacheError
 from gptcache.utils.response import (
     get_stream_message_from_openai_answer,
     get_message_from_openai_answer,
@@ -20,6 +17,10 @@
     get_audio_text_from_openai_answer,
 )
 
+import_openai()
+
+import openai  # pylint: disable=C0413
+
 
 class ChatCompletion(openai.ChatCompletion):
     """Openai ChatCompletion Wrapper

gptcache/core.py

@@ -2,8 +2,6 @@
 import os
 from typing import Optional, List, Any
 
-import openai
-
 from gptcache.config import Config
 from gptcache.embedding.string import to_embeddings as string_embedding
 from gptcache.manager import get_data_manager
@@ -13,6 +11,7 @@
 from gptcache.report import Report
 from gptcache.similarity_evaluation import ExactMatchEvaluation
 from gptcache.similarity_evaluation import SimilarityEvaluation
+from gptcache.utils import import_openai
 from gptcache.utils.cache_func import cache_all
 from gptcache.utils.log import gptcache_log
 
@@ -109,6 +108,9 @@ def flush(self):
 
     @staticmethod
     def set_openai_key():
+        import_openai()
+        import openai  # pylint: disable=C0415
+
         openai.api_key = os.getenv("OPENAI_API_KEY")
 
 

gptcache/embedding/__init__.py

@@ -1,4 +1,4 @@
-__all__ = ["OpenAI", "Huggingface", "SBERT", "Cohere", "Onnx", "FastText", "Data2VecAudio", "Timm", "ViT"]
+__all__ = ["OpenAI", "Huggingface", "SBERT", "Cohere", "Onnx", "FastText", "Data2VecAudio", "Timm", "ViT", "LangChain"]
 
 
 from gptcache.utils.lazy_import import LazyImport

gptcache/embedding/openai.py

@@ -1,9 +1,13 @@
-import numpy as np
-import openai
 import os
 
+import numpy as np
+
 from gptcache.embedding.base import BaseEmbedding
+from gptcache.utils import import_openai
+
+import_openai()
 
+import openai  # pylint: disable=C0413
 
 class OpenAI(BaseEmbedding):
     """Generate text embedding for given text using OpenAI.

gptcache/manager/vector_data/manager.py

@@ -115,11 +115,11 @@ def get(name, **kwargs):
             collection_name = kwargs.get("collection_name", COLLECTION_NAME)
             index_params = kwargs.get("index_params", PGVECTOR_INDEX_PARAMS)
             vector_base = PGVector(
-                dimension = dimension,
-                top_k = top_k,
-                url = url,
-                collection_name = collection_name,
-                index_params = index_params
+                dimension=dimension,
+                top_k=top_k,
+                url=url,
+                collection_name=collection_name,
+                index_params=index_params
             )
         else:
             raise NotFoundError("vector store", name)

gptcache/utils/__init__.py

@@ -28,6 +28,7 @@
     "import_ruamel",
     "import_selective_context",
     "import_httpx",
+    "import_openai",
     ]
 
 import importlib.util
@@ -194,5 +195,10 @@ def import_ruamel():
 def import_selective_context():
     _check_library("selective_context")
 
+
 def import_httpx():
     _check_library("httpx")
+
+
+def import_openai():
+    _check_library("openai")

requirements.txt

@@ -1,4 +1,3 @@
-openai
 numpy
 cachetools
 requests

setup.py

@@ -18,7 +18,7 @@ def parse_requirements(file_name: str) -> List[str]:
 setuptools.setup(
     name="gptcache",
     packages=find_packages(),
-    version="0.1.23",
+    version="0.1.24",
     author="SimFG",
     author_email="[email protected]",
     description="GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat "