doc: improved doc

README.md

@@ -226,6 +226,9 @@ export async function POST(request: NextRequest) {
 
 ## More Examples
 
+- [Expose Anthropic Claude as an OpenAI compatible API](tests/test_functional/fastapi_chat_completion_anthropic/README.md)
+- [Use a third party library injector library](tests/test_functional/injector/README.md)
+
 More examples can be found in [`tests/test_functional`](tests/test_functional) directory.
 This project is not limited to OpenAI’s models; some examples demonstrate the use of Anthropic’s language models. Anthropic is just one example, and any LangChain-supported vendor is also supported by this library.
 

tests/test_functional/fastapi_chat_completion_anthropic/README.md

@@ -0,0 +1 @@
+# Expose as an OpenAI API anthropic assistant

tests/test_functional/fastapi_chat_completion_anthropic/server_anthropic.py

@@ -15,7 +15,7 @@
 app = FastAPI(
     title="Langchain Agent OpenAI API Bridge",
     version="1.0",
-    description="OpenAI API exposing langchain agent",
+    description="OpenAI API exposing langchain agent running on Anthropic Claude",
 )
 
 app.add_middleware(

tests/test_functional/injector/README.md

@@ -0,0 +1,48 @@
+# With Injector Example
+
+Usage example using a third party injector library.
+`poetry add injector` https://github.com/python-injector/injector for this example
+
+```python
+from fastapi import FastAPI
+from dotenv import load_dotenv, find_dotenv
+import uvicorn
+from injector import Injector
+
+from langchain_openai_api_bridge.assistant import (
+    ThreadRepository,
+    MessageRepository,
+    RunRepository,
+)
+from langchain_openai_api_bridge.core.agent_factory import AgentFactory
+from langchain_openai_api_bridge.fastapi import (
+    LangchainOpenaiApiBridgeFastAPI,
+)
+from tests.test_functional.injector.app_module import MyAppModule
+
+
+_ = load_dotenv(find_dotenv())
+
+
+app = FastAPI(
+    title="Langchain Agent OpenAI API Bridge",
+    version="1.0",
+    description="OpenAI API exposing langchain agent using injector",
+)
+
+injector = Injector([MyAppModule()])
+
+bridge = LangchainOpenaiApiBridgeFastAPI(
+    app=app, agent_factory_provider=lambda: injector.get(AgentFactory)
+)
+bridge.bind_openai_assistant_api(
+    thread_repository_provider=lambda: injector.get(ThreadRepository),
+    message_repository_provider=lambda: injector.get(MessageRepository),
+    run_repository_provider=lambda: injector.get(RunRepository),
+    prefix="/my-assistant",
+)
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="localhost")
+
+```

tests/test_functional/injector/with_injector_assistant_server_openai.py

@@ -22,7 +22,7 @@
 app = FastAPI(
     title="Langchain Agent OpenAI API Bridge",
     version="1.0",
-    description="OpenAI API exposing langchain agent",
+    description="OpenAI API exposing langchain agent using injector",
 )
 
 app.add_middleware(