structure saas with tools

.venv/lib/python3.10/site-packages/litellm/proxy/README.md

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+# litellm-proxy
+
+A local, fast, and lightweight **OpenAI-compatible server** to call 100+ LLM APIs.
+
+## usage 
+
+```shell 
+$ pip install litellm
+```
+```shell
+$ litellm --model ollama/codellama 
+
+#INFO: Ollama running on http://0.0.0.0:8000
+```
+
+## replace openai base
+```python 
+import openai # openai v1.0.0+
+client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:8000") # set proxy to base_url
+# request sent to model set on litellm proxy, `litellm --model`
+response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
+    {
+        "role": "user",
+        "content": "this is a test request, write a short poem"
+    }
+])
+
+print(response)
+``` 
+
+[**See how to call Huggingface,Bedrock,TogetherAI,Anthropic, etc.**](https://docs.litellm.ai/docs/simple_proxy)
+
+
+---
+
+### Folder Structure
+
+**Routes**
+- `proxy_server.py` - all openai-compatible routes - `/v1/chat/completion`, `/v1/embedding` + model info routes - `/v1/models`, `/v1/model/info`, `/v1/model_group_info` routes.
+- `health_endpoints/` - `/health`, `/health/liveliness`, `/health/readiness`
+- `management_endpoints/key_management_endpoints.py` - all `/key/*` routes
+- `management_endpoints/team_endpoints.py` - all `/team/*` routes
+- `management_endpoints/internal_user_endpoints.py` - all `/user/*` routes
+- `management_endpoints/ui_sso.py` - all `/sso/*` routes