… Example of a cog.yaml file: build: python version: "3.13" python requirements: requirements.txt predict: "predict.py:Predictor" Example of a predict.py file, which has a function to set up the model and a function that runs when you receive an inference request a prediction : from cog import BasePr… …
… You just add a binding to your Worker’s config file : // wrangler.jsonc file { "hyperdrive": { "binding": "DATABASE", "id": } } And start running SQL queries via your Worker with your Postgres client of choice: import { Client } from "pg"; export default { async fetch request, env, ctx { const clie… …
… The anomaly: 999 state transitions with zero loss We instrumented quiche's qlog output with packet loss events and built visualizations to understand what was happening inside the congestion controller: Connection overview of a failing test. …
… Users can override the default model, add their own agents, or adjust project and user scoped permissions without affecting anyone else. …
… Agent inboxes The integration also comes with built-in support for email with the send email , email read , and email list tools. You can also kick off new sessions via email, or configure the agent to send emails using any domain and address configured with the Cloudflare Email Service . …
… Although we will try to minimize how often we make breaking changes, we still reserve the right to add, remove, or change components such as request and response filters as the library evolves, especially during this pre-1.0 period. …
… This feature allows analysts to self-serve and explore incidents through customizable filters, enabling them to identify patterns and respond effectively. By providing access to real-time threat data, we empower organizations to make informed decisions about their security strategies. …
… That lack of visibility adds even more complications when teams need to address tickets from their users to answer questions like “why was I blocked?”, “why did that request fail?”, or “shouldn’t that have been blocked?”. …
… For example, you can build a powerful chat agent with the AIChatAgent class: // src/index.ts export class Chat extends AIChatAgent { / Handles incoming chat messages and manages the response stream @param onFinish - Callback function executed when streaming completes / async onChatMessage onFinish:… …
… The results were exactly as noisy as you might expect, with a flood of vague suggestions, hallucinated syntax errors, and helpful advice to "consider adding error handling" on functions that already had it. …