logstash
elastic/logstash/AGENTS.md
Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and sends it to various destinations. It's part of the Elastic Stack and is a…
How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.
elastic/logstash/AGENTS.md
Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and sends it to various destinations. It's part of the Elastic Stack and is a…
elastic/logstash/qa/AGENTS.md
Guidance for coding agents working with the QA test infrastructure. See also the root AGENTS.md for general project conventions. The qa/ directory contains three independent test suites: Each suite has…
elastic/logstash/x-pack/AGENTS.md
Guidance for coding agents working with X-Pack (Elastic-licensed) features. See also the root AGENTS.md for general project conventions. X-Pack provides commercial features that extend the Logstash core. Most features integrate…
microsoft/RD-Agent/rdagent/scenarios/rl/autorl_bench/agents/claude/AGENTS.md
You MUST maintain a file called summary.md in the workspace root. Update it after every training attempt and every submission, not just at the end.
NVIDIA/TensorRT-LLM/agent-flow/AGENTS.md
No summary in the file. Open it to read it.
NVIDIA/TensorRT-LLM/AGENTS.md
TensorRT-LLM: open-source library for optimized LLM inference on NVIDIA GPUs. Python and C++ codebase with a PyTorch execution path. If a CLAUDE.local.md file exists alongside this file, read and respect…
NVIDIA/TensorRT-LLM/.codex/AGENTS.md
No summary in the file. Open it to read it.
NVIDIA/TensorRT-LLM/cpp/tensorrt_llm/batch_manager/kv_cache_manager_v2/AGENTS.md
This directory contains the C++ implementation of KVCacheManagerV2: allocation, prefix reuse, eviction, GPU/host/disk movement, page locking, and KV-cache event generation. Python accesses it through the nanobind bindings in cpp/tensorrtllm/nanobind/batchmanager/kvCacheManagerV2.cpp. This…
NVIDIA/TensorRT-LLM/tensorrt_llm/runtime/kv_cache_manager_v2/AGENTS.md
This file provides guidance to coding agents when working with code in this directory. KVCacheManagerV2 is the KV cache management subsystem for TensorRT-LLM. It manages GPU/host/disk memory for key-value caches…
NVIDIA/TensorRT-LLM/tests/AGENTS.md
Scope: this directory and everything under it. Supplements the repo-root AGENTS.md. This is a reminder for whoever adds a test, not a hard gate. Not every test runs in CI…
NVIDIA/TensorRT-LLM/tests/integration/defs/visual_gen/AGENTS.md
Scope: this directory (tests/integration/defs/visual_gen/). Supplements the repo-root AGENTS.md. A VisualGen test that cannot run because a resource CI is expected to provide is missing must fail loudly, not pytest.skip —…
NVIDIA/TensorRT-LLM/tests/unittest/_torch/visual_gen/AGENTS.md
Scope: this directory and everything under it (tests/unittest/torch/visualgen/, including multigpu/, kernels/, sparseattention/). Supplements the repo-root AGENTS.md. A VisualGen test that cannot run because a resource CI is expected to provide…
microsoft/agent-framework/dotnet/AGENTS.md
Instructions for AI coding agents working in the .NET codebase. See ./.github/skills/build-and-test/SKILL.md for detailed instructions on building, testing, and linting projects. See ./.github/skills/project-structure/SKILL.md for an overview of the project structure. See ./.github/skills/pull-requests/SKILL.md for guidance on writing PR descriptions and handling/resolving PR review comments. The framework integrates with Microsoft.Extensions.AI and Microsoft.Extensions.AI.Abstractions (external NuGet packages) using types like IChatClient, FunctionInvokingChatClient, AITool, AIFunction, ChatMessage, and AIContent. When developing or reviewing code, verify adherence to these key design principles: Samples (in ./samples/ folder) should…
microsoft/agent-framework/dotnet/samples/AGENTS.md
This file documents the structure and conventions of the .NET samples so that agents (AI or human) can maintain them without rediscovering decisions. 1. Progressive complexity: Sections 01→05 build from "hello world" to production. Within 01-get-started, projects are numbered 01–05 and each step adds exactly one concept.
microsoft/agent-framework/python/AGENTS.md
Instructions for AI coding agents working in the Python codebase. Key Documentation: - DEVSETUP.md - Development environment setup and available poe tasks - CODINGSTANDARD.md - Coding standards, docstring format, and performance guidelines - samples/SAMPLE_GUIDELINES.md - Sample structure and guidelines - Python function-calling loop specification - Required behavior, scenario-to-test mapping, coverage gaps, and extra validation for function-loop changes Agent Skills (.github/skills/) — detailed, task-specific instructions loaded on demand: - python-development — coding standards, type annotations, docstrings, logging, performance - python-testing —…
microsoft/agent-framework/python/packages/a2a/AGENTS.md
Agent-to-Agent (A2A) protocol support for inter-agent communication.
microsoft/agent-framework/python/packages/ag-ui/AGENTS.md
AG-UI protocol integration for building agent UIs with the AG-UI standard. - AgentFrameworkAgent - Wraps agents for AG-UI compatibility - AgentFrameworkWorkflow - Wraps native Workflow objects, or accepts workflowfactory(threadid) for thread-scoped workflow instances without subclassing - AGUIChatClient - Chat client that speaks AG-UI protocol - AGUIHttpService - HTTP service for AG-UI endpoints - **agentframeworkmessagestoaguihosthistory()* - Converts persisted Agent Framework messages to bounded AG-UI Host history while retaining MCP widget payloads and model replay metadata - *AGUIEventConverter* - Converts between Agent…
microsoft/agent-framework/python/packages/anthropic/AGENTS.md
Integration with Anthropic's Claude API.
microsoft/agent-framework/python/packages/azure-ai-search/AGENTS.md
Integration with Azure AI Search for RAG (Retrieval-Augmented Generation) and vector storage. The package depends on azure-search-documents>=12.0.0,<13, which spans both channels, and auto-detects which build is installed — there is no api_version parameter: The provider never pins an api-version; the installed build picks its own default, so newer releases work without code changes (single source of truth = the install). Capability gating keys off previewagenticfeaturesavailable — whether the preview build's agentic symbols (KnowledgeRetrieval{Low,Medium}ReasoningEffort, KnowledgeRetrievalOutputMode) can be imported. Agentic output mode…
microsoft/agent-framework/python/packages/azure-contentunderstanding/AGENTS.md
agent-framework-azure-contentunderstanding integrates Azure Content Understanding (CU) into the Agent Framework as a context provider. It automatically analyzes file attachments (documents, images, audio, video) and injects structured results into the LLM context. - **contextprovider.py** — Main provider implementation. Overrides before_run() to detect file attachments, call the CU API, manage session state with multi-document tracking, and auto-register retrieval tools for follow-up turns. - Analyzer auto-detection — When analyzer_id=None (default), resolveanalyzer_id() selects the CU analyzer based on media type prefix: audio/ → prebuilt-audioSearch,…
An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
Setup and test commands, code style, and the rules a new contributor would need to know.
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.