#llm-tools
The latest AI and developer news about #llm-tools, with the original source and a short summary.
The latest AI and developer news about #llm-tools, with the original source and a short summary.
The update allows running Row-Bot in the browser via Railway, adds 12 new API providers, and optimizes Claude Code to use prompt caching for full 1M context on Opus, Sonnet, and Haiku 5.5.
The tool claims 80x faster startup than Docker for single containers and supports Python/Node SDKs for sandboxing LLM-generated code.
LLMxRay is a new open-source tool that provides detailed observability for local Ollama models, including prompt caching analysis, token-level streaming visualization, and protocol comparison.
The update also includes various other improvements and fixes.
The update includes 79 PRs and 8 direct commits from 97 contributors, focusing on fixing blocked updates and preventing data loss during repairs.
The update includes 80 PRs and 12 direct commits from 107 contributors, addressing critical bugs in upgrades, message delivery, and long conversation stability.
Codemode allows LLMs to execute JavaScript within a sandboxed harness to compose tool calls, manage state, and access internal APIs without consuming context tokens.
Graphene is a data analytics framework designed for coding agents, featuring a semantic SQL layer and dashboard file type to enable accurate, consistent data visualizations.
Jevper, an open-source library that performs Jev classification on OpenAI-compatible APIs, has been released, offering automatic logprobs detection and reasoning model support.
A tool named 'stuntd' for Claude Code has been released, which determines command permissions locally without API calls.
The new suite achieves a 92.5% task success rate across five LLMs, significantly outperforming standard libraries and Anthropic's office skills.
The open-source framework CerebrumKit for AI agent development has been released, managing skills and tools via a database.
A confirmed issue in Claude Code Auto Mode prevents nested CLAUDE.md files from loading due to Bash-first instructions.
UiPath measured Claude Code skill activation rates and improved them from a baseline of 46.3% to 67.3% using unique marker-based descriptions.
MathKernel, a multi-engine math kernel that specifies mathematical evidence and verification levels, has been released to address the arithmetic weaknesses of LLMs.
Basis and Braintrust have released Agent Behavior, an open standard defining criteria for reviewing and evaluating agent traces.
A Goal-Driven prompt has been released, where a master agent verifies completion criteria to re-run sub-agents.
The open-source proxy 'Vessel' has been released, allowing users to log Ollama requests and compare them with other models.
36 open-source Agent Skills for Claude that automatically load data engineering context have been released.
A pure Go wrapper library has been released, enabling Go agents to safely execute LLM-generated Python code without containers.
Introduced a Harness Engineering framework combining context management, architectural constraints, and regular cleanup to prevent the degradation of AI-generated code quality.
Vibe-Research, an open-source investment research dashboard that provides data for AI to make judgments, has been released.
Row-Bot v4.8.0 has been released with model-specific reasoning controls and improved context processing stability.
The ultra-lightweight coding agent 'fx', written in Zig, has been released as open source with a 6.39MB binary and fast boot speeds.