Releasesby GlyphAdded preview support for Z.ai GLM 4.7: zai-glm-4.7
Added preview support for Z.ai GLM 4.7: zai-glm-4.7
Also shipped Jan 6, 2026Cerebras in January 2026 →
Tailscale v1.92.5
Linux Changed: State file encryption and hardware attestation keys are no longer enabled by default. Fixed: Failure to load hardware attestation keys no longer prevents the client from starting. This could happen when the TPM device is reset or replaced. Windows Changed: State file encryption and hardware attestation keys are no longer enabled by default.
Tailscale container image v1.92.5
A new release of the Tailscale container image is available. You can download it from Docker Hub or from our GitHub packages repository . Fixed: Hardware attestation keys are no longer added to Kubernetes state Secrets , making it possible to change the Kubernetes node the Tailscale containers are deployed on.
Tailscale Kubernetes Operator v1.92.5
A new release of the Tailscale Kubernetes Operator is available. For guidance on installing and updating, refer to our installation instructions . Changed: Certificate renewal is no longer done as an ARI order by default to avoid renewal failure if ACME account keys are recreated.
Tailscale tsrecorder v1.92.5
A new release of the Tailscale tsrecorder is available. You can download it from Docker Hub . Note : This version contains no changes except for library updates.
cline 3.47.0
Added Added experimental support for Background Edits (allows editing files in background without opening the diff view) Updated free model to MiniMax M2.1 (replacing MiniMax M2) Added support for Azure based identity authentication in OpenAI Compatible provider and Azure OpenAI Add supportsReasoning property to Baseten models Fixed Prevent expired token...
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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...
Prioritize 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.
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.