How Preply combines AI and human tutors to personalize learning
Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.
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Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises.
AI Gateway logs now capture the user agent of the client that made each request, making it easier to identify which SDK, library, or application sent the traffic flowing through your gateway. For example, you can tell apart requests coming from openai-python versus a custom application or a Cloudflare Worker. The user agent appears alongside the other details in each log entry, and you can filter logs by user agent (equals, does not equal, or contains) in the dashboard. For more information, ref
You can now filter the Metrics tab for a Durable Objects namespace by an individual Durable Object's ID or name in the Cloudflare dashboard. Previously, metrics charts only showed aggregate, namespace-level data, making it difficult to isolate the behavior of a specific object. Go to Durable Objects Start typing an ID or name into the filter and select a match from the autocomplete dropdown. Every chart on the page updates to reflect only the selected object. This makes it easier to identify
@cf/moonshotai/kimi-k2.7-code is now available on Workers AI. Kimi K2.7 Code is a code-optimized variant of the Kimi K2 family, built on a Mixture-of-Experts architecture with 1T total parameters and 32B active per token. Improved coding and agent performance K2.7 Code delivers meaningful gains over K2.6 on coding and agentic benchmarks: +21.8% on Kimi Code Bench v2 +11.0% on Program Bench +31.5% on MLS Bench Lite Reasoning efficiency K2.7 Code uses 30% fewer reasoning tokens compared to K2.6, r
Elastic’s Anthropic integration ingests Claude Compliance API events into Elastic Security, enabling teams to monitor activity via dashboards, detect risks with automated rules, and investigate threats alongside existing telemetry.
Kimi K2.7 Code from Moonshot AI is now available on .AI Gateway K2.7 Code is a coding model built for long-horizon programming tasks, generalizing across scenarios including frontend development, DevOps, and performance optimization. The model has a native multimodal architecture that supports text and vision input, and always runs in thinking mode. To use K2.7 Code, set model to in the :moonshotai/kimi-k2.7-codeAI SDK Pass an image alongside a prompt to use the model's multimodal input: AI Gat
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