# tool\_use Published articles for tool\_use. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Claude Fable 5 Restrictions Exposed Availability Risks for AI Developers DevFeed: [Claude Fable 5 Restrictions Exposed Availability Risks for AI Developers]() Original publisher: [Read original article]() Author: RisingStack Engineering Published: 2026-07-06T13:42:50Z Content type: article Language: en Sources: [RisingStack]() Topics: [Claude](), [ai safety](), [Availability](), [API](), [context window](), [long-context]() Tags: [ai](), [ai-safety](), [api](), [availability](), [claude](), [context-window](), [models](), [tool-use]() ### AI overview The article examines how restrictions on Anthropic's Claude Fable 5 and Claude Mythos 5 exposed a new availability risk for software teams. It describes a temporary global suspension of access, Fable 5's return with updated safeguards, and Mythos 5's continued limited availability. The article argues that developers building on frontier APIs must account for government decisions, identity rules, safeguards, and provider policies alongside conventional operational dependencies. ### Source excerpt For years, most AI safety debates focused on model outputs. Could a model generate malware, explain a dangerous process, produce convincing misinformation, or comply with a jailbreak? Claude Fable 5 pushed that discussion toward a harder question: what happens when a model can inspect large codebases, use tools, maintain context across long-running tasks, and work [...] The post Claude Fable 5 Was Restricted for What It Could Do appeared first on RisingStack Engineering. ## Prompts Are Guidelines. Code Is the Config. DevFeed: [Prompts Are Guidelines. Code Is the Config.]() Original publisher: [Read original article]() Author: Brent Leekley Published: 2026-06-08T00:00:00Z Content type: tutorial Language: en Sources: [brent.leekley.me blog]() Topics: [Artificial Intelligence](), [Prompt Engineering](), [Claude](), [API](), [hooks](), [JSON](), [context]() Tags: [agent-reliability](), [agents](), [ai](), [ai-agents](), [api](), [claude](), [hooks](), [schema](), [stateless](), [stop-reason](), [structured-output](), [til](), [tool-use]() ### AI overview A Today I Learned field note about building more reliable AI agents by assigning probabilistic judgment to the model and deterministic guarantees to application code. It discusses using code-enforced gates and hooks for requirements that must always hold, branching on stop_reason rather than model text, handling turns that contain both chat and tool calls, and avoiding the assumption that a valid schema guarantees a correct answer. ### Source excerpt Where the model's judgment ends and your code has to take over -- a Today I Learned field note on building AI agents that hold up in production: stop_reason, forced tool use, hooks, stateless history, and why a valid schema isn't a true answer. ## Using Grok with Hermes Agent: Getting Started DevFeed: [Using Grok with Hermes Agent: Getting Started]() Original publisher: [Read original article]() Author: hi@meedamian.com (Damian Mee) Published: 2026-05-15T00:00:00Z Content type: tutorial Language: en Sources: [Damian Mee | Blog | Portfolio | About]() Topics: [Artificial Intelligence](), [AI Agent](), [Command-line interface](), [configuration](), [coding](), [debugging]() Tags: [ai](), [ai-agent](), [ai-assistant](), [cli](), [coding](), [configuration](), [debugging](), [tool-use]() ### AI overview This tutorial introduces using Grok from xAI with Hermes Agent, a CLI-based AI assistant. It describes the pairing's stated capabilities, including reasoning, tool use, coding, debugging, and real-time knowledge, and begins with basic configuration. ### Source excerpt Disclaimer: This post was generated by Grok 4.3 running inside Hermes Agent. Using Grok in Hermes Hermes Agent is a powerful CLI-based AI assistant, and pairing it with Grok (from xAI) unlocks some unique capabilities thanks to Grok's strong reasoning and tool-use performance. Why Grok? Excellent at following complex instructions Strong coding and debugging abilities Built-in real-time knowledge via tools Great balance of speed and intelligence Basic Setup To use Grok in Hermes: ## GPT-5.5 and GPT Image 2: What Actually Changed DevFeed: [GPT-5.5 and GPT Image 2: What Actually Changed]() Original publisher: [Read original article]() Author: RisingStack Engineering Published: 2026-04-29T20:22:17Z Content type: article Language: en Sources: [RisingStack]() Topics: [OpenAI](), [coding](), [computer-use](), [context](), [API]() Tags: [ai](), [api](), [benchmarks](), [coding](), [computer-use](), [context](), [generation](), [gpt](), [image](), [openai](), [reasoning](), [tool-use]() ### AI overview The article compares OpenAI's GPT-5.5 and GPT Image 2 updates, arguing that both emphasize outputs usable with less post-processing. It discusses GPT-5.5's reasoning, coding, tool use, large context window, workflow integration, and reported efficiency improvements, alongside GPT Image 2's image generation and editing capabilities. ### Source excerpt OpenAI has rolled out two updates that on the surface seem like two separate things, but actually share a common thread. GPT-5.5 makes a big jump in terms of reasoning, coding and tool use, while GPT Image 2 focuses on image generation and editing. At first glance, it's not the individual new features that stand [...] The post GPT-5.5 and GPT Image 2: What Actually Changed appeared first on RisingStack Engineering. ## Coding Agents in Feb 2026 DevFeed: [Coding Agents in Feb 2026]() Original publisher: [Read original article]() Author: Calvin French-Owen Published: 2026-02-17T12:00:00Z Content type: opinion Language: en Sources: [Calvin French-Owen]() Topics: [AI-assisted coding](), [context window](), [context](), [Claude Code](), [codex](), [Language models](), [cursor]() Tags: [2026](), [agents](), [claude-code](), [codex](), [coding-agents](), [context](), [cursor](), [tool-use]() ### AI overview An opinionated February 2026 snapshot of using coding agents, especially Claude Code and Codex. The author explains how available time, desired autonomy, model strengths, context windows, compaction, and filesystem-based planning influence tool choice and workflow. ### Source excerpt My point-in-time snapshot of using Claude Code and Codex together. Opus shines at context management and tool use, Codex writes fewer bugs. Here's how I use both. ## Safe Yolo Mode: Running LLM Agents in VMs with Libvirt and Virsh DevFeed: [Safe Yolo Mode: Running LLM Agents in VMs with Libvirt and Virsh]() Original publisher: [Read original article]() Author: Chris Hager Published: 2026-02-10T00:00:00Z Content type: tutorial Language: en Sources: [Chris Hager]() Topics: [LLMs](), [virtualization](), [Security](), [Linux](), [qemu](), [ssh]() Tags: [linux](), [llm-agents](), [llms](), [security](), [tool-use](), [virtual-machines]() ### AI overview A guide to isolating LLM agents in Linux virtual machines with libvirt and virsh. It explains how VM isolation can reduce risks from destructive operations and unauthorized access when agents receive broad tool-use permissions, and covers setup, cloud-image provisioning, VM creation, and SSH access. ### Source excerpt This is a guide for isolating LLM agents in virtual machines, using libvirt and virsh on Linux servers. Running LLMs in VMs isolates them from the host system, mitigating numerous security risks such as destructive operations or unauthorized file access (i.e. private keys, secrets, credentials for communication tools). This is particularly important when granting LLM agents broad permissions, like auto-approving tool use ("yolo mode"). It's also useful to keep sessions running for extended periods of time, and to interact with agents from the phone / on the go. ## How to Write an Agent DevFeed: [How to Write an Agent]() Original publisher: [Read original article]() Author: Simone Margaritelli Published: 2025-03-13T01:36:08Z Content type: tutorial Language: en Sources: [evilsocket]() Topics: [AI Development](), [function calling](), [LLMs]() Tags: [adk](), [agent](), [agent-development-kit](), [agent-evals](), [ai](), [autonomous-agents](), [blog](), [cybersecurity](), [evals](), [evaluations](), [function-calling](), [how-to](), [howto](), [llm](), [nerve](), [nerve-adk](), [project-release](), [tool-use]() ### AI overview This tutorial explains how software agents use models to select tools in a loop, and how function calling lets language models invoke tools. It introduces Nerve as a project intended to simplify implementing an agent and discusses executing tool calls and returning their outputs to the model. ### Source excerpt Hello friends. This blog post was supposed to be the second part of this re