Anyscale

Obiguard’s suite of features - AI gateway, observability, prompt management, and continuous fine-tuning are all enabled for the OSS models (Llama2, Mistral, Zephyr, and more) available on Anyscale endpoints.

Provider Slug. anyscale

Obiguard SDK Integration with Anyscale

1. Install the Obiguard SDK

Python SDK

pip install obiguard

2. Initialize Obiguard with an access key

To use Anyscale with Obiguard, get your Anyscale API key from here. Add it to Obiguard as a provider credential, then create an access key for the agent or project that will call it.

Python SDK

from obiguard import Obiguard

client = Obiguard(
  obiguard_api_key="ak***",  # Your Obiguard access key
)

3. Invoke Chat Completions with Anyscale

Python SDK

completion = client.chat.completions.create(
  messages= [{ "role": 'user', "content": 'Say this is a test' }],
  model= 'mistralai/Mistral-7B-Instruct-v0.1'
)

Directly Using Obiguard’s REST API

Alternatively, you can also directly call Anyscale models through Obiguard’s REST API - it works exactly the same as OpenAI API, with 2 differences:

You send your requests to Obiguard’s complete Gateway URL https://gateway.obiguard.ai/v1/chat/completions
You have to add Obiguard specific headers.
- x-obiguard-api-key for sending your Obiguard access key

cURL

curl https://gateway.obiguard.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ANYSCALE_API_KEY" \
  -H "x-obiguard-api-key: $OBIGUARD_API_KEY" \
  -H "x-obiguard-provider: anyscale" \
  -d '{
    "model": "mistralai/Mistral-7B-Instruct-v0.1",
    "messages": [{"role": "user","content": "Hello!"}]
  }'

List of all possible Obiguard headers.

Using the OpenAI Python or Node SDKs for Anyscale

You can also use the baseURL param in the standard OpenAI SDKs and make calls to Obiguard + Anyscale directly from there. Like the Rest API example, you are only required to change the baseURL and add defaultHeaders to your instance. You can use the Obiguard SDK to make it simpler:

OpenAI Python SDK

from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders

anyscale = OpenAI(
  api_key="ANYSCALE_API_KEY", # defaults to os.environ.get("OPENAI_API_KEY")
  base_url=OBIGUARD_GATEWAY_URL,
  default_headers=createHeaders(
    provider="anyscale",
    obiguard_api_key="ak***",  # Your Obiguard access key
  )
)

chat_complete = anyscale.chat.completions.create(
  model="mistralai/Mistral-7B-Instruct-v0.1",
  messages=[{"role": "user", "content": "Say this is a test"}],
)

This request will be automatically logged by Obiguard. You can view this in your logs dashboard. Obiguard logs the tokens utilized, execution time, and cost for each request. Additionally, you can delve into the details to review the precise request and response data.

Advanced Use Cases

Streaming Responses

Obiguard supports streaming responses using Server Sent Events (SSE).

OpenAI Python SDK

from openai import OpenAI
from obiguard import OBIGUARD_GATEWAY_URL, createHeaders

anyscale = OpenAI(
    api_key="ANYSCALE-API-KEY",  # defaults to os.environ.get("OPENAI_API_KEY")
    base_url=OBIGUARD_GATEWAY_URL,
    default_headers=createHeaders(
        provider="anyscale",
        obiguard_api_key="ak***",  # Your Obiguard access key
    )
)

chat_complete = anyscale.chat.completions.create(
    model="mistralai/Mistral-7B-Instruct-v0.1",
    messages=[{"role": "user", "content": "Say this is a test"}],
    stream=True
)

for chunk in chat_complete:
    print(chunk.choices[0].delta.content, end="", flush=True)

Obiguard Features

Obiguard supports the complete host of it’s functionality via the OpenAI SDK so you don’t need to migrate away from it.

Ecosystem

AI Apps

Agents

LLMs

Vector Databases

Obiguard SDK Integration with Anyscale

1. Install the Obiguard SDK

2. Initialize Obiguard with an access key

3. Invoke Chat Completions with Anyscale

Directly Using Obiguard’s REST API

Using the OpenAI Python or Node SDKs for Anyscale

Advanced Use Cases

Streaming Responses

Obiguard Features