Context Engineering
Context Engineering on the APIs.io network is a curated area collecting 5 resources — specifications, tools, and documentation — for this subject.
24 providers on the network work in this area, including Cognee, Dust, Vectara, Amazon Bedrock, PydanticAI, Letta, and 18 more — each links out to that provider’s APIs, schemas, and governance artifacts.
About this area
Context engineering is the practice of curating the information that large language models receive at inference time so that the model can perform a task reliably and cost-effectively. It treats the context window as a finite attention budget and looks for the smallest set of high-signal tokens that maximize the likelihood of the desired outcome. Context engineering subsumes and extends prompt engineering, system prompts, tool design, retrieval, agent loops, structured note taking, compaction, and multi-agent decomposition. It is a foundational discipline for building production AI agents and assistants.
Curated resources (5)
Effective Context Engineering for AI Agents
Anthropic's engineering guide to context engineering, framing context as a finite attention budget and walking through system prompts, tool design, few-shot examples, just-in-time retrieval, compaction, structured not...
Retrieval-Augmented Generation (RAG)
RAG is a context engineering pattern that augments LLM prompts with passages retrieved at inference time from a vector store, search index, or knowledge base. RAG keeps facts outside the model and is one of the most w...
Prompt Engineering
Prompt engineering is the discipline of crafting model instructions and examples to guide model behavior. Prompt engineering remains a sub-discipline of context engineering and includes techniques like role prompting,...
Agentic Loops and Tool Use
Agentic loops are iterative reasoning patterns in which an LLM plans, calls tools, observes results, and refines its plan. Tool design is a central context engineering concern: tools must be token-efficient, have mini...
Long-Horizon Context Strategies
Long-horizon strategies handle conversations and tasks that exceed the context window. Techniques include compaction (summarizing history into a smaller representation), structured note taking (persistent external mem...
Related providers (534)
Top 24 of 534 network providers tagged for this area — search the full set on apis.io.
| Provider | Description | APIs | Rating |
|---|---|---|---|
| Cognee | Cognee is an open-source AI memory and knowledge graph platform that enables developers to build persistent, structured memory for AI agents and LLM applications. The platform p... | 1 | thin |
| Dust | Dust is a Paris-based enterprise AI platform for building, deploying, and operating teams of AI agents that have shared context across a company's knowledge and tools. Dust posi... | 9 | strong |
| Vectara | Vectara is a Retrieval Augmented Generation (RAG) as a service platform that provides grounded generative AI for enterprises. The API-first platform exposes a unified REST API v... | 7 | developing |
| Amazon Bedrock | Amazon Bedrock is a fully managed AWS service that makes high-performing foundation models from leading AI companies available through a unified API for building generative AI a... | 4 | developing |
| PydanticAI | PydanticAI is an open-source, model-agnostic Python agent framework built by the Pydantic team, designed to bring the ergonomic, type-safe design philosophy of FastAPI to produc... | 2 | developing |
| Letta | Letta (formerly MemGPT) is a stateful AI agents platform built around long-term memory, tool execution, and multi-agent coordination. The Letta REST API exposes 239 endpoints ac... | 3 | thin |
| Langbase | Langbase is a serverless AI developer platform for building, deploying, and scaling AI agents and applications. Its composable primitives - Pipes (agents), Memory (managed RAG),... | 9 | thin |
| Letta | Letta (formerly MemGPT) builds stateful AI agents with persistent memory that runs as a service. The Letta REST API creates, configures, and messages agents whose memory - core ... | 13 | thin |
| AI21 Labs | AI21 Labs is an enterprise foundation-model company best known for the Jamba family of open-weight hybrid Mamba/Transformer models and AI21 Maestro, a dynamic planning system th... | 8 | thin |
| Vapi | Vapi is a San Francisco-based voice AI platform that lets developers build real-time, low-latency voice agents over phone, web, and SIP. It orchestrates three modular components... | 15 | strong |
| Exa | Exa is a web search API and AI research platform built specifically for LLMs and agents — semantic and keyword search across the open web with token-efficient highlights, struct... | 7 | developing |
| Plandex | Plandex is an open-source, terminal-based AI coding agent designed to take on large, multi-step software development tasks across many files in real world codebases. Written in ... | 1 | developing |
| Unify | Unify is an LLM routing and model gateway platform that enables developers to access 100+ large language model providers through a single unified REST API and API key. The platf... | 1 | developing |
| Chroma | Chroma (Chroma DB) is an open-source AI-native embedding database designed to make it easy to build LLM applications by providing storage, retrieval, and management for vector e... | 4 | developing |
| Smithery | Smithery is an MCP server registry and hosting platform that lets developers discover, publish, and connect to Model Context Protocol servers from any AI agent. The platform com... | 2 | developing |
| LlamaParse | LlamaParse is an enterprise document parsing and AI pipeline platform from LlamaIndex that converts complex PDFs, Office files, and 130+ document formats into LLM-ready structur... | 4 | developing |
| Opik | Opik is an open-source LLM evaluation, testing, and tracing platform developed by Comet ML that enables developers to debug, evaluate, and monitor LLM applications, RAG systems,... | 1 | developing |
| Unstructured | Unstructured is a document parsing and pre-processing platform that provides a REST API for ingesting PDFs, HTML, DOCX, images, and more than 50 other file formats, transforming... | 2 | developing |
| Glean | Glean is an AI-powered work assistant and enterprise search platform that connects to a company's apps and data sources to provide unified search, generative answers, and autono... | 8 | thin |
| Langflow | Langflow is an open-source low-code visual builder for AI agents, RAG pipelines, and LangChain-based workflows. It pairs a drag-and-drop React Flow frontend with a FastAPI backe... | 13 | thin |
| osmAPI | osmAPI is a unified AI gateway that routes requests to OpenAI, Anthropic, Google, and 14+ LLM providers through a single API. Drop-in compatible with the OpenAI SDK, it provides... | 4 | thin |
| Inkeep | Inkeep is an AI support and agent platform for documentation and products. Its developer platform exposes an OpenAI-compatible RAG / chat completions API over your own content, ... | 3 | thin |
| Linkup | Linkup is a production-grade web search and answer API for AI agents and LLMs. Its /search endpoint grounds model responses in real-time web context, returning ranked results, s... | 4 | thin |
| PromptLayer | PromptLayer is a prompt engineering, prompt management, and LLM observability platform. Its REST API logs and tracks LLM requests, manages a versioned prompt registry with relea... | 4 | thin |
Tags: Agents, AI, Anthropic, Compaction, Context Window, LLM, Memory, Prompt Engineering, RAG, Tools.
Sourced from the api-evangelist/context-engineering topic repo.