litellm-mirror/docs/my-website/docs/realtime.md
Krish Dholakia 1113cb7a2a Litellm dev 10 22 2024 (#6384)
* fix(utils.py): add 'disallowed_special' for token counting on .encode()

Fixes error when '<
endoftext
>' in string

* Revert "(fix) standard logging metadata + add unit testing  (#6366)" (#6381)

This reverts commit 8359cb6fa9.

* add new 35 mode lcard (#6378)

* Add claude 3 5 sonnet 20241022 models for all provides (#6380)

* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.

* added anthropic/claude-3-5-sonnet-20241022

* add new 35 mode lcard

---------

Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>

* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working

* Fix metadata being overwritten in speech() (#6295)

* fix: adding missing redis cluster kwargs (#6318)

Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>

* Add support for `max_completion_tokens` in Azure OpenAI (#6376)

Now that Azure supports `max_completion_tokens`, no need for special handling for this param and let it pass thru. More details: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models?tabs=python-secure#api-support

* build(model_prices_and_context_window.json): add voyage-finance-2 pricing

Closes https://github.com/BerriAI/litellm/issues/6371

* build(model_prices_and_context_window.json): fix llama3.1 pricing model name on map

Closes https://github.com/BerriAI/litellm/issues/6310

* feat(realtime_streaming.py): just log specific events

Closes https://github.com/BerriAI/litellm/issues/6267

* fix(utils.py): more robust checking if unmapped vertex anthropic model belongs to that family of models

Fixes https://github.com/BerriAI/litellm/issues/6383

* Fix Ollama stream handling for tool calls with None content (#6155)

* test(test_max_completions): update test now that azure supports 'max_completion_tokens'

* fix(handler.py): fix linting error

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
2024-10-22 21:18:54 -07:00

2.3 KiB

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Realtime Endpoints

Use this to loadbalance across Azure + OpenAI.

Proxy Usage

Add model to config

model_list:
  - model_name: openai-gpt-4o-realtime-audio
    litellm_params:
      model: openai/gpt-4o-realtime-preview-2024-10-01
      api_key: os.environ/OPENAI_API_KEY
model_list:
  - model_name: gpt-4o
    litellm_params:
      model: azure/gpt-4o-realtime-preview
      api_key: os.environ/AZURE_SWEDEN_API_KEY
      api_base: os.environ/AZURE_SWEDEN_API_BASE

  - model_name: openai-gpt-4o-realtime-audio
    litellm_params:
      model: openai/gpt-4o-realtime-preview-2024-10-01
      api_key: os.environ/OPENAI_API_KEY

Start proxy

litellm --config /path/to/config.yaml 

# RUNNING on http://0.0.0.0:8000

Test

Run this script using node - node test.js

// test.js
const WebSocket = require("ws");

const url = "ws://0.0.0.0:4000/v1/realtime?model=openai-gpt-4o-realtime-audio";
// const url = "wss://my-endpoint-sweden-berri992.openai.azure.com/openai/realtime?api-version=2024-10-01-preview&deployment=gpt-4o-realtime-preview";
const ws = new WebSocket(url, {
    headers: {
        "api-key": `f28ab7b695af4154bc53498e5bdccb07`,
        "OpenAI-Beta": "realtime=v1",
    },
});

ws.on("open", function open() {
    console.log("Connected to server.");
    ws.send(JSON.stringify({
        type: "response.create",
        response: {
            modalities: ["text"],
            instructions: "Please assist the user.",
        }
    }));
});

ws.on("message", function incoming(message) {
    console.log(JSON.parse(message.toString()));
});

ws.on("error", function handleError(error) {
    console.error("Error: ", error);
});

Logging

To prevent requests from being dropped, by default LiteLLM just logs these event types:

  • session.created
  • response.create
  • response.done

You can override this by setting the logged_real_time_event_types parameter in the config. For example:

litellm_settings:
  logged_real_time_event_types: "*" # Log all events
  ## OR ## 
  logged_real_time_event_types: ["session.created", "response.create", "response.done"] # Log only these event types