<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: How to Intext Reference in Code</title><link>http://www.bing.com:80/search?q=How+to+Intext+Reference+in+Code</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>How to Intext Reference in Code</title><link>http://www.bing.com:80/search?q=How+to+Intext+Reference+in+Code</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Tool Contract - Amplifier</title><link>https://microsoft.github.io/amplifier-docs/developer/contracts/tool/</link><description>Purpose Tools extend agent capabilities beyond pure conversation: - Filesystem operations - Read, write, edit files - Command execution - Run shell commands - Web access - Fetch URLs, search - Task delegation - Spawn sub-agents - Custom capabilities - Domain-specific operations</description><pubDate>Sun, 12 Apr 2026 04:58:00 GMT</pubDate></item><item><title>How to Implement Tool Execution - oneuptime.com</title><link>https://oneuptime.com/blog/post/2026-01-30-tool-execution/view</link><description>Tool execution is the bridge between an AI agent's reasoning capabilities and real-world actions. While Large Language Models (LLMs) excel at understanding and generating text, they need a robust execution layer to interact with external systems, run code, query databases, and perform meaningful tasks. This guide walks you through building a production-ready tool execution system for AI agents ...</description><pubDate>Tue, 14 Apr 2026 10:11:00 GMT</pubDate></item><item><title>Tool Execution Pipeline | openai/codex | DeepWiki</title><link>https://deepwiki.com/openai/codex/6.2-tool-execution-pipeline</link><description>The Tool Execution Pipeline handles the registration, invocation, and result processing of tools that AI models can call during conversation turns. This pipeline bridges the gap between model tool call requests (formatted as JSON function calls) and actual tool execution (Rust handler functions), ensuring consistent tool availability, proper ...</description><pubDate>Fri, 07 Nov 2025 06:37:00 GMT</pubDate></item><item><title>Tool Execution Architecture - Shannon</title><link>https://docs.shannon.run/en/architecture/tool-execution</link><description>Overview Shannon’s tool execution system provides a secure, extensible framework for integrating external capabilities into AI agents. The architecture supports three tool types with unified execution semantics.</description><pubDate>Fri, 10 Apr 2026 20:45:00 GMT</pubDate></item><item><title>Agentic AI: Schema-Validated Tool Execution and Deterministic Caching</title><link>https://dev.to/sudarshangouda/agentic-ai-schema-validated-tool-execution-and-deterministic-caching-2d14</link><description>Agentic AI systems do not fail because models cannot reason.They fail because tool execution is unmanaged. Once agents are allowed to plan, retry, self-criticize, or collaborate, tool calls multiply rapidly. Without strict controls, this leads to infrastructure failures, unpredictable cost growth, and non-deterministic behavior.</description><pubDate>Wed, 22 Apr 2026 22:04:00 GMT</pubDate></item><item><title>helix/docs/tool-contract.md at main · jeffrichley/helix · GitHub</title><link>https://github.com/jeffrichley/helix/blob/main/docs/tool-contract.md</link><description>Tools are the environment interface for Helix. If skills teach the agent how to think, tools determine how the agent can act and measure. The tool contract should be stable across domains so the agent can reason about tool use generically. This mirrors the lesson from tool design for LLMs generally ...</description><pubDate>Wed, 25 Mar 2026 16:18:00 GMT</pubDate></item><item><title>ToolGate: Contract-Grounded and Verified Tool Execution for LLMs</title><link>https://arxiv.org/pdf/2601.04688</link><description>By combin-ing Retrieval with embedding semantic search for efficient tool retrieval and hoare contract logical checks for safe tool execution, ToolGate ensures that the symbolic state evolves only through veri-fied tool executions, preventing invalid or halluci-nated results from corrupting the world representa-tion. Our Contributions.</description><pubDate>Sat, 24 Jan 2026 15:13:00 GMT</pubDate></item><item><title>Code execution tool - Claude API Docs</title><link>https://platform.claude.com/docs/en/agents-and-tools/tool-use/code-execution-tool</link><description>Code execution is a core primitive for building high-performance agents. It enables dynamic filtering in web search and web fetch tools, allowing Claude to process results before they reach the context window, improving accuracy while reducing token consumption. Reach out through the feedback form to share your feedback on this feature.</description><pubDate>Fri, 24 Apr 2026 12:08:00 GMT</pubDate></item><item><title>REQ-011: Tool Execution Node — Architecture Design</title><link>https://techlabsglobal.atlassian.net/wiki/spaces/KAP1/pages/1020624955/REQ-011+Tool+Execution+Node+Architecture+Design</link><description>This document describes the architecture for REQ-011: Tool Execution Node — a new workflow node type that executes external tools (API, MCP, Database Connectors, Vector RAGs, Graph RAGs, Executable Functions) directly as a workflow step, without invoking an LLM or agent.</description><pubDate>Sun, 12 Apr 2026 17:58:00 GMT</pubDate></item><item><title>Code execution with MCP: Building more efficient agents</title><link>https://www.anthropic.com/engineering/code-execution-with-mcp</link><description>Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.</description><pubDate>Thu, 23 Apr 2026 22:10:00 GMT</pubDate></item></channel></rss>