Releasesby GlyphPrioritize requests to the API to balance latency sensitivity and resource allocation across your workloads...
Prioritize requests to the API to balance latency sensitivity and resource allocation across your workloads with the new Service Tiers feature. Learn more in our Service Tiers guide.
Also shipped Jan 14, 2026Cerebras in January 2026 →
Dynamic dashboards in public preview
Last year, we launched Dynamic dashboards as an experimental feature. Today, we’re pleased to announce that it is now in public preview. This change includes new functionality and a revamped user experience. New functionality Tabs Structure your dashboards horizontally, as well as vertically, to organise the content for different contexts and user groups.
Filter predictions by source
Filter the list of predictions API to show only predictions created through the web interface.
Security Center - URL Scanner now supports PDF report downloads
We have expanded the reporting capabilities of the Cloudflare URL Scanner. In addition to existing JSON and HAR exports, users can now generate and download a PDF report directly from the Cloudflare dashboard.
GPT-5.2-Codex Now Available in AI Gateway and Agent Runners
OpenAI's GPT-5.2-Codex model is now available through Netlify's AI Gateway and Agent Runners with zero configuration required. Use the OpenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically.
truss 0.12.5
- feat(weights): add https:// scheme support to WeightsSource fix: exclude weights from build hash to prevent unnecessary rebuilds Rename CLAUDE.md to AGENTS.md, symlink CLAUDE.md Support configurable run-as user ID for custom-server deployments Release 0.12.5
cline 3.50.0
Added Add gpt-5.2-codex OpenAI model support Add create-pull-request skill Fixed Fix the selection of remotely configured providers Fix act_mode_respond to prevent consecutive calls Fix invalid tool call IDs when switching between model formats
More from Cerebras InferenceEvery Cerebras Inference release →
Constrained Decoding Generally Available Constrained decoding has moved to General Availability (GA) with...
Constrained Decoding Generally Available Constrained decoding has moved to General Availability (GA) with expanded capabilities. Supported models Structured Outputs and Tool Calling with strict: true are now available on the following models: gpt-oss-120b llama-3.1-8b qwen-3-235b-a22b-instruct-2507 qwen-3-32b zai-glm-4.6 zai-glm-4.7 New capabilities...
API Version 2 Available for Testing API version 2 is now available for testing via the...
API Version 2 Available for Testing API version 2 is now available for testing via the X-Cerebras-Version-Patch header. This version introduces stricter validation and breaking changes.
Monitor your dedicated inference endpoints with the new Metrics API, providing Prometheus-compatible metrics...
Monitor your dedicated inference endpoints with the new Metrics API, providing Prometheus-compatible metrics for requests, tokens, latency percentiles, and endpoint health. Metrics are aggregated at the minute level and integrate directly with Prometheus. Learn more in our Metrics guide.
Process large-scale inference workloads asynchronously with the new Batch API and Files API
Process large-scale inference workloads asynchronously with the new Batch API and Files API. Submit up to 50,000 requests in a single batch job and get 50% cost savings. Learn more in our Batch guide.
Added support for parallel tool calling, allowing models to request multiple tool invocations simultaneously...
Added support for parallel tool calling, allowing models to request multiple tool invocations simultaneously in a single response. This reduces latency when handling queries that require multiple independent operations. Learn more in our Tool Calling guide.
Streaming Support Streaming is now supported for all models, including with structured output requests...
Streaming Support Streaming is now supported for all models, including with structured output requests (response_format, tools). Reasoning Format Controls Added reasoning_format parameter for reasoning models, giving you control over how reasoning text appears in responses.
Added support for prompt caching, which automatically stores and reuses prompt prefixes to reduce latency and...
Added support for prompt caching, which automatically stores and reuses prompt prefixes to reduce latency and improve time to first token for similar requests. Learn more in our Prompt Caching guide.