Skip to content

Update fallbacks.mdx #19032

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jan 7, 2025
Merged

Update fallbacks.mdx #19032

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 4 additions & 2 deletions src/content/docs/ai-gateway/configuration/fallbacks.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,11 +7,13 @@ sidebar:

import { Render } from "~/components";

Specify model or provider fallback with your [Universal endpoint](/ai-gateway/providers/universal/) to specify what to do if a request fails.
Specify model or provider fallbacks with your [Universal endpoint](/ai-gateway/providers/universal/) to handle request failures and ensure reliability.

Fallbacks are currently triggered only when a request encounters an error. We are working to expand fallback functionality to include time-based triggers, which will allow requests that exceed a predefined response time to timeout and fallback.

## Example

For example, you could set up a gateway endpoint that:
In the following example, a request first goes to the [Workers AI](/workers-ai/) Inference API. If the request fails, it falls back to OpenAI. The response header `cf-aig-step` indicates which provider successfully processed the request.

1. Sends a request to Workers AI Inference API.
2. If that request fails, proceeds to OpenAI.
Expand Down
Loading