You can now access Anthropic's latest model, Claude Haiku 4.5 using Vercel's AI Gateway with no other provider accounts required. Haiku 4.5 matches Sonnet 4's performance on coding, computer use, and agent tasks at substantially lower cost and faster speeds.

AI Gateway lets you call the model with a consistent unified API and just a single string update, track usage and cost, and configure performance optimizations, retries, and failover for higher than provider-average uptime.

To use it with the AI SDK v5, set the model to anthropic/claude-haiku-4.5:

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import { streamText } from 'ai'
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const result = streamText({
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  model: "anthropic/claude-haiku-4.5",
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  prompt: "Write me a haiku about Claude Haiku 4.5." 
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})

Includes built-in observability, Bring Your Own Key support, and intelligent provider routing with automatic retries.

To deliver high performance and reliability to Claude Haiku 4.5, AI Gateway leverages multiple model providers under the hood, including Anthropic, Bedrock and Vertex AI.

Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground.

Teams using Observability Plus can now receive alerts when anomalies are detected in their applications to help quickly identify, investigate and resolve unexpected behavior.

Alerts help monitor your app in real-time by surfacing unexpected changes in usage or error patterns:

• Usage anomalies: unusual patterns in your application metrics, such as edge requests or function duration.

• Error anomalies: abnormal error patterns, such as sudden spikes in 5XX responses on a specific route

View alerts directly in your dashboard, or subscribe via email, Slack, or webhooks to get notified wherever your team works.

Alerts are available public beta for Pro and Enterprise customers with Observability Plus.

Try it out or learn more about Alerts.

Flask, one of the most popular Python web application frameworks, can now be deployed instantly on Vercel with no configuration changes needed.

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from flask import Flask
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app = Flask(__name__)
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@app.route("/")
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def hello_world(): 
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    return "<p>Hello, World!</p>"

Vercel's framework-defined infrastructure now recognizes and deeply understands Flask applications. This update removes the need for redirects in vercel.json or using the /api folder.

Backends on Vercel use Fluid compute with Active CPU pricing by default. This means your Flask app will automatically scale up and down based on traffic, and you only pay for time where your code is actively using CPU.

Deploy Flask on Vercel or visit the Flask on Vercel documentation.