bump version to 0.2.8

.github/workflows/build.yml

@@ -39,7 +39,7 @@ jobs:
           python -m pip install --upgrade pip wheel
           pip install -e .
           python -c "import autogen"
-          pip install -e. pytest mock
+          pip install pytest mock
       - name: Set AUTOGEN_USE_DOCKER based on OS
         shell: bash
         run: |
@@ -53,8 +53,7 @@ jobs:
       - name: Coverage
         if: matrix.python-version == '3.10'
         run: |
-          pip install -e .[test]
-          pip install -e .[redis]
+          pip install -e .[test,redis]
           coverage run -a -m pytest test --ignore=test/agentchat/contrib --skip-openai
           coverage xml
       - name: Upload coverage to Codecov

autogen/cache/__init__.py

@@ -0,0 +1,3 @@
+from .cache import Cache
+
+__all__ = ["Cache"]

autogen/cache/cache.py

@@ -1,4 +1,3 @@
-import os
 from typing import Dict, Any
 
 from autogen.cache.cache_factory import CacheFactory

autogen/version.py

@@ -1 +1 @@
-__version__ = "0.2.7"
+__version__ = "0.2.8"

test/agentchat/test_cache_agent.py

@@ -5,7 +5,7 @@
 import pytest
 import autogen
 from autogen.agentchat import AssistantAgent, UserProxyAgent
-from autogen.cache.cache import Cache
+from autogen.cache import Cache
 
 sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
 from conftest import skip_openai, skip_redis  # noqa: E402

test/conftest.py

@@ -1,12 +1,14 @@
 import pytest
 
 skip_openai = False
+skip_redis = False
 
 
-# Registers command-line option '--skip-openai' via pytest hook.
+# Registers command-line option '--skip-openai' and '--skip-redis' via pytest hook.
 # When this flag is set, it indicates that tests requiring OpenAI should be skipped.
 def pytest_addoption(parser):
     parser.addoption("--skip-openai", action="store_true", help="Skip all tests that require openai")
+    parser.addoption("--skip-redis", action="store_true", help="Skip all tests that require redis")
 
 
 # pytest hook implementation extracting the '--skip-openai' command line arg and exposing it globally

website/docs/Use-Cases/agent_chat.md

@@ -290,7 +290,7 @@ By adopting the conversation-driven control with both programming language and n
 Since version 0.2.8, a configurable context manager allows you to easily configure LLM cache, using either DiskCache or Redis. All agents inside the context manager will use the same cache.
 
 ```python
-from autogen.cache.cache import Cache
+from autogen.cache import Cache
 
 with Cache.redis(cache_seed=42, redis_url="redis://localhost:6379/0") as cache:
     user.initiate_chat(assistant, message=coding_task, cache=cache)

website/docs/Use-Cases/enhanced_inference.md

@@ -175,7 +175,7 @@ the cache, using either DiskCache or Redis.
 All `OpenAIWrapper` created inside the context manager can use the same cache through the constructor.
 
 ```python
-from autogen.cache.cache import Cache
+from autogen.cache import Cache
 
 with Cache.redis(cache_seed=42, redis_url="redis://localhost:6379/0") as cache:
     client = OpenAIWrapper(..., cache=cache)