Highlights Known Issues DSA models, including GLM-5.2, may produce incorrect output when using an NVFP4 KV cache. Kimi K3 DSpark with MegaMoE CuTe DSL TEP and CUDA graphs may hang
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模型、智能体与 AI 产品动态 · 13 条
Highlights Known Issues DSA models, including GLM-5.2, may produce incorrect output when using an NVFP4 KV cache. Kimi K3 DSpark with MegaMoE CuTe DSL TEP and CUDA graphs may hang
Features api: add error code for ramp limit errors api: add error codes for External Key validation failures api: add support for signing organization members out everywhere Bug Fi
Features api: add error details types and new error type values api: add ids filter to list workspaces client: add error classes for HTTP statuses and API error codes, and error_co
Features api: add GA methods for analytics, spend limits and RBAC api: add named beta types for unified metrics and RBAC delete responses api: add shared analytics order and increa
Python package version The Python wheels for this release are published as 1.4.0rc2.post1 . Container images and documentation remain at 1.4.0rc2 . Use 1.4.0rc2.post1 when installi
Features api: add support for message threads api: add usage and cost reports by dimension, mark older reports legacy Bug Fixes client: stop suggesting math.inf in the max_retries
Features api: add enforcement status, actions and filter to user profiles
⚠ BREAKING CHANGES api: add support for new API version 2026-10-21 Features api: add a workspace_id filter and the usage_tier scope type to list spend limits api: add support for n
Features api: add org webhook endpoints and user profile enforcement events api: add RBAC Group owner-access error codes to the Admin API api: document the unsupported_charset erro
Features api: add data_refreshed_at and has_more to analytics report pages api: add workspace rate-limit updates to the Admin API api: make User Profiles generally available client
Features api: add between_tools to thinking types in model capabilities api: add the speed parameter and usage.speed to Messages api: return a Console organization's usage-tier spe
麦当劳 MCP 聚会/团餐组织助手 — 基于 Model Context Protocol 的派对预订与团餐规划 CLI/Skill
Features api: add execution_identity to Managed Agents agents api: add organization_type_not_supported error to spend limit lists api: add telemetry destination test endpoint api: