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Anthropic Opens Message Threads Beta in the Messages API

Anthropic has launched the message threads beta on its Messages API. The API caches conversations server-side, so subsequent requests only need to send the new message and the previous message ID, allowing Claude to start responding faster. The company says the feature is already integrated in Claude Code, with median time to first token for 500K to 1M token requests reduced by about 35%, and median request size for long conversations dropping from about 800 KB to 1.8 KB. To use it, add the thread parameter and beta header to requests. The feature is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Claude Code integrates message threads, reducing first-token latency for long requests by about 35%

After Claude Code integrated message threads, on requests of 500K to 1M tokens, the median first-token latency dropped by about 35%; in long conversations, the median size of a single request fell from about 800 KB to 1.8 KB. Message threads have entered public beta in the Messages API. The server caches the conversation between turns, so callers only need to send the new message and the ID of the previous message, and must add the thread parameter and beta header. It is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Anthropic Opens Public Beta of Message Threads in the Messages API

Anthropic has opened the public beta of message threads on the Messages API. The API caches conversations on the server side, so developers only need to send the new message and the previous message ID, without resending the full conversation. The feature has been integrated into Claude Code; on requests of 500K to 1M tokens, median time to first token dropped by about 35%, and in long conversations the median request size fell from about 800 KB to 1.8 KB. To use it, add the thread parameter and beta header to requests. The feature is available on Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude on Google Cloud, and is billed at standard token prices.

Microsoft Opens Copilot Agent Harness Public Preview via Foundry

Microsoft has opened the GitHub Copilot agent harness public preview through the Foundry Agent Service in Microsoft Foundry, offering built-in sandboxes, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not supported. The service is free until December 1, 2026, after which it is billed at $0.0994 per vCPU hour and $0.0118 per GiB hour, with model inference and some tools billed separately.

NVIDIA RTX Spark Laptop Update: Adds Nemotron 3.5 Transcribe and Local Agent Tools

NVIDIA announced multiple updates for RTX Spark thin-and-light laptops, including the open-weight voice model Nemotron 3.5 Transcribe, support for Liquid AI's LFM3 model family, and a control in the NVIDIA App that can allocate GPU resources between foreground applications and background agents. Nemotron 3.5 Transcribe supports transcription, speaker labeling, and translation in 40 languages, has approximately 4.3 billion active parameters, and is now available on Hugging Face. RTX Spark laptops are now shipping from ASUS, Dell, HP, Lenovo, Microsoft, and MSI, with a starting price of $2,599.

Replit Cloud Agents are now available to Pro and Enterprise users…

Replit announced that Cloud Agents are now available to all Pro and Enterprise customers. Non-engineers can describe changes in natural language, and the agent locates the code, runs the application in a cloud sandbox to verify it, and submits a PR or MR with screenshots and video to GitHub or GitLab. Teams can configure a shared environment once, and review feedback can be turned into skill updates that require engineer approval; the feature is in early access. The Slack integration is now available to all customers, and Microsoft Teams support is coming soon.

Microsoft Launches AI Diagnostic System MAI-DxO, Achieving 83% Accuracy on Complex Cases

Microsoft announced the launch of its AI diagnostic system, Microsoft AI Diagnostic Orchestrator (MAI-DxO), which simulates a multidisciplinary expert consultation by orchestrating multiple AI agents. In an evaluation based on common cases from U.S. emergency departments using the MIMIC-IV-ED dataset, its diagnostic accuracy was 1.7 times that of human physicians; in a simulated evaluation based on complex cases from The New England Journal of Medicine, it achieved 83% accuracy, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials, while specialists were not included in the comparison. Officials said the system's cost is only half or even one-third that of physicians, and the research findings have been published in the journal Science.

Microsoft launches AI medical diagnostic system MAI-DxO, achieving 83% accuracy on complex cases

Microsoft announced the launch of the AI diagnostic system MAI-DxO (Microsoft AI Diagnostic Orchestrator), which simulates a multidisciplinary expert consultation of physicians by uniformly orchestrating multiple AI agents. In a simulated evaluation based on complex NEJM cases, its diagnostic accuracy reached 83%, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials; in an evaluation of common U.S. emergency department visit cases based on the MIMIC-IV-ED dataset, its accuracy was 1.7 times that of human physicians. Officials said the system costs only half or even one-third of what physicians cost, and the research results have been published in the journal Science.

Cohere Model Vault Launches Confidential Computing Public Beta

Cohere announced that the confidential computing feature of Model Vault has entered public beta, providing hardware-level isolation for hosted model inference based on the NVIDIA H100 GPU confidential computing capability on Microsoft Azure. This feature extends the scope of encryption from data at rest and in transit to prompts, documents, responses, and model execution during inference; after end-to-end encryption on the application workload side, decryption can only occur in a confidential environment that has passed remote attestation. Customers can cryptographically verify the hardware, firmware, and software configuration before sending sensitive data; if it does not comply with the security policy, the client will refuse to send the request. The existing Model Vault API and request format remain unchanged.

Cohere Model Vault Launches Verifiable Confidential AI Inference

Cohere has launched confidential computing capabilities on Model Vault, currently in public beta, running on NVIDIA GPUs on Microsoft Azure. The feature combines confidential CPU and GPU execution, OHTTP end-to-end encryption of request content, and remote attestation, allowing customers to verify the target environment before releasing sensitive data. Cohere plans to open-source the confidential inference stack and advance support for NVIDIA Blackwell and B200 GPUs.