Token Pass 크레딧이 이제 AI Gateway 전역에 자동으로 적용됩니다.
Token Pass 크레딧이 이제 인증 방법에 관계없이 AI Gateway를 통해 모델 사용에 자동으로 적용되며, Token Pass 크레딧이 소진되면 팀 크레딧으로 대체됩니다. 요청은 여전히 제로 데이터 보존 정책의 적용을 받으며, 대체 접근을 위해 표준 키 또는 OIDC 토큰을 권장합니다.
Token Pass 크레딧이 이제 인증 방법에 관계없이 AI Gateway를 통해 모델 사용에 자동으로 적용되며, Token Pass 크레딧이 소진되면 팀 크레딧으로 대체됩니다. 요청은 여전히 제로 데이터 보존 정책의 적용을 받으며, 대체 접근을 위해 표준 키 또는 OIDC 토큰을 권장합니다.
The enterprise and organization repository-level Copilot usage metrics reports now show what happens to Copilot code review feedback. A new copilot_code_review object on each repos-1-day row reports how many Copilot-reviewed… The post Usage metrics API adds code review details and addressed rate appeared first on The GitHub Blog.
Copilot 사용량 메트릭스 API는 이제 클라이언트 텔레메트리가 누락되었거나 IDE 또는 확장 프로그램 버전이 사용량 메트릭스 최소 기준 미만인 사용자를 표시합니다. 새로운 사용자별 필드가 …에 나타납니다. 원문: Usage metrics API flags telemetry and version gaps는 The GitHub Blog에 처음 게시되었습니다.
Data Mining & Modeling
Certinia Inc. is bringing AI into the software firms use to sell projects, assign staff, deliver work and bill clients. AI’s ability to instantaneously draw from a deep well of information and provide guidance in practically any field of expertise has changed the paradigm for professional services. For Certinia Inc., whose business facilitates 7.1 billion […] The post Certinia brings AI into professional services workflows appeared first on SiliconANGLE.
A shared semantic layer is fast becoming the dividing line between lakehouses built for reporting and those built for artificial intelligence. As AI agents join human analysts in querying corporate data, enterprises need platforms that make sense of information scattered across clouds, formats and rival systems. Oracle Corp. has spent the past year rebuilding its […] The post Customers are pulling data back into the Oracle database as agents demand real-time access appeared first on SiliconANGLE.
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore.
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance, helping life sciences organizations scale enterprise data quality.
As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards...
Article URL: https://github.com/AlgoVesta/mcp Comments URL: https://news.ycombinator.com/item?id=50375559 Points: 1 # Comments: 0