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docs(simple_proxy.md): adding NeMO Guardrails tutorial to docs

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Krrish Dholakia 2023-10-28 12:17:16 -07:00
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docs/my-website/docs/simple_proxy.md
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@ -121,6 +121,72 @@ $ docker run -e PORT=8000 -e COHERE_API_KEY=<your-api-key> -p 8000:8000 ghcr.io/
</Tabs> </Tabs>
## Tutorials (Chat-UI, NeMO-Guardrails, etc.)
<Tabs>
<TabItem value="chat-ui" label="Chat UI">
Here's the `docker-compose.yml` for running LiteLLM Server with Mckay Wrigley's Chat-UI:
```yaml
version: '3'
services:
container1:
image: ghcr.io/berriai/litellm:latest
ports:
- '8000:8000'
environment:
- PORT=8000
- OPENAI_API_KEY=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
container2:
image: ghcr.io/mckaywrigley/chatbot-ui:main
ports:
- '3000:3000'
environment:
- OPENAI_API_KEY=my-fake-key
- OPENAI_API_HOST=http://container1:8000
```
Run this via:
```shell
docker-compose up
```
</TabItem>
<TabItem value="nemo-guardrails" label="NeMO-Guardrails">
#### Adding NeMO-Guardrails to Bedrock
1. Start server
```shell
`docker run -e PORT=8000 -e AWS_ACCESS_KEY_ID=<your-aws-access-key> -e AWS_SECRET_ACCESS_KEY=<your-aws-secret-key> -p 8000:8000 ghcr.io/berriai/litellm:latest`
```
2. Install dependencies
```shell
pip install nemoguardrails langchain
```
3. Run script
```python
import openai
from langchain.chat_models import ChatOpenAI
llm = ChatOpenAI(model_name="bedrock/anthropic.claude-v2", openai_api_base="http://0.0.0.0:8000", openai_api_key="my-fake-key")
from nemoguardrails import LLMRails, RailsConfig
config = RailsConfig.from_path("./config.yml")
app = LLMRails(config, llm=llm)
new_message = app.generate(messages=[{
"role": "user",
"content": "Hello! What can you do for me?"
}])
```
</TabItem>
</Tabs>
## Endpoints: ## Endpoints:
- `/chat/completions` - chat completions endpoint to call 100+ LLMs - `/chat/completions` - chat completions endpoint to call 100+ LLMs
- `/embeddings` - embedding endpoint for Azure, OpenAI, Huggingface endpoints - `/embeddings` - embedding endpoint for Azure, OpenAI, Huggingface endpoints
@ -193,38 +259,6 @@ Docker command:
docker run -e LANGFUSE_PUBLIC_KEY=<your-public-key> -e LANGFUSE_SECRET_KEY=<your-secret-key> -e LANGFUSE_HOST=<your-langfuse-host> -e PORT=8000 -p 8000:8000 ghcr.io/berriai/litellm:latest docker run -e LANGFUSE_PUBLIC_KEY=<your-public-key> -e LANGFUSE_SECRET_KEY=<your-secret-key> -e LANGFUSE_HOST=<your-langfuse-host> -e PORT=8000 -p 8000:8000 ghcr.io/berriai/litellm:latest
``` ```
## Tutorials
<Tabs>
<TabItem value="chat-ui" label="Chat UI">
Here's the `docker-compose.yml` for running LiteLLM Server with Mckay Wrigley's Chat-UI:
```yaml
version: '3'
services:
container1:
image: ghcr.io/berriai/litellm:latest
ports:
- '8000:8000'
environment:
- PORT=8000
- OPENAI_API_KEY=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
container2:
image: ghcr.io/mckaywrigley/chatbot-ui:main
ports:
- '3000:3000'
environment:
- OPENAI_API_KEY=my-fake-key
- OPENAI_API_HOST=http://container1:8000
```
Run this via:
```shell
docker-compose up
```
</TabItem>
</Tabs>
## Local Usage ## Local Usage
```shell ```shell