AI Agent Glossary
50+ essential terms — from agent orchestration to vector stores — explained for developers and teams building with Paperclip.
A
- Agent
- An autonomous software process that perceives inputs, reasons about them, and takes actions to accomplish a goal — often by calling tools, APIs, or other agents. Unlike a simple chatbot, an agent can plan multi-step tasks and adapt based on intermediate results.
- Agent Orchestration
- The coordination of multiple AI agents so they collaborate on a shared objective. An orchestrator routes subtasks to specialized agents, aggregates their outputs, and handles retries or failures. Paperclip's multi-agent runtime is built around this model. See Features.
- API Gateway
- A managed entry point that exposes your agent as an HTTP endpoint with built-in authentication, rate limiting, and request logging. Every agent deployed on HostAgentes gets a unique API gateway URL automatically. See API Gateway.
- Auto-Scaling
- The ability of a hosting platform to automatically increase or decrease compute resources based on current demand. HostAgentes scales your Paperclip agents up during traffic spikes and down during quiet periods, so you only pay for what you use. See Auto-Scaling.
- Autonomous Agent
- An agent that operates without continuous human oversight, making decisions and taking actions end-to-end. Autonomous agents typically combine an LLM for reasoning, a set of tools, and a memory layer to persist state across steps.
B
- Bearer Token
- A type of HTTP authentication credential sent in the
Authorization: Bearer <token>header. HostAgentes issues bearer tokens for API gateway access so callers can authenticate without managing cookies or sessions. - BYOK (Bring Your Own Key)
- A model where you supply your own API keys for model providers (e.g., OpenAI, Anthropic) instead of the platform managing them. OpenClaw is HostAgentes's BYOK product — you keep full control of your keys while we handle the hosting infrastructure. See OpenClaw.
C
- Chain of Thought
- A prompting technique that instructs a model to show its step-by-step reasoning before producing a final answer. Chain-of-thought prompting generally improves accuracy on complex tasks by forcing the model to decompose problems.
- Claude
- A family of large language models developed by Anthropic, known for strong instruction-following, long context windows, and safety-focused training. Claude models (including Claude 3 Haiku, Sonnet, and Opus) are supported natively on HostAgentes.
- Context Window
- The maximum number of tokens an LLM can process in a single inference call — encompassing the system prompt, conversation history, retrieved documents, and the output. Larger context windows enable agents to reason over more information at once but increase inference cost and latency.
- Cold Start
- The latency incurred when a serverless function or container must be initialized from scratch before handling a request. HostAgentes minimizes cold starts for Paperclip agents through pre-warmed instances in every deployment region.
D
- Deployment Region
- The geographic data-center location where your agent runs. Choosing a region close to your users reduces network latency. HostAgentes supports multi-region deployment. See Global Infrastructure.
- Docker
- An open-source containerization platform that packages an application and its dependencies into a portable image. Paperclip agents run inside Docker containers on HostAgentes, ensuring consistent behavior across development and production.
E
- Embedding
- A dense numeric vector that represents the semantic meaning of text, images, or other data. Embeddings are the foundation of semantic search and RAG: similar inputs produce vectors that are close together in high-dimensional space.
- Endpoint
- A URL that accepts HTTP requests and returns responses. Each HostAgentes agent is exposed as a managed HTTPS endpoint with automatic TLS, routing, and monitoring.
- Environment Variable
- A key-value pair injected into a running process to supply configuration (API keys, database URLs, feature flags) without hardcoding values in source code. HostAgentes lets you manage environment variables securely from the dashboard.
F
- Fine-Tuning
- Further training a pre-trained model on a domain-specific dataset to improve its performance on targeted tasks. Fine-tuned models can be deployed on HostAgentes just like any other model provider endpoint.
- Function Calling
- A feature of many LLM APIs (OpenAI, Anthropic, Gemini) that allows the model to request execution of a named function with structured arguments. Agents use function calling to interact with external services, databases, and tools in a type-safe way.
G
- GPT
- Generative Pre-trained Transformer — OpenAI's flagship series of large language models (GPT-3.5, GPT-4, GPT-4o). GPT models are supported on HostAgentes alongside Claude, Gemini, and open-source alternatives.
- Grounding
- The practice of supplying an LLM with factual, up-to-date context (via RAG, tool calls, or injected documents) so its responses are anchored in real data rather than relying solely on training knowledge.
- Guardrails
- Constraints applied to an agent's inputs or outputs to enforce safety, compliance, or quality policies. Guardrails can be implemented as prompt instructions, output validators, or external classifiers that intercept the agent's responses.
H
- Hallucination
- When a language model generates plausible-sounding but factually incorrect or fabricated information. Reducing hallucination is a key goal of Grounding and RAG-based architectures.
- Hosting — Managed vs. Self-Hosted
- Managed hosting (like HostAgentes) means the provider handles infrastructure, scaling, security, and updates. Self-hosted means you run the agent on your own servers. Managed hosting trades some flexibility for dramatically lower operational overhead. See Managed vs Self-Hosted comparison.
I
- Inference
- The process of running a trained model on new input to produce an output (prediction, completion, or action). Inference is the core compute cost of running an AI agent; latency and cost per inference call are key metrics to monitor.
- Integration
- A pre-built connector that links your agent to an external service (Slack, GitHub, Notion, Stripe, etc.). HostAgentes provides a growing library of one-click integrations so agents can interact with your existing tools without custom code. See Integrations.
J
- JSON-LD
- JSON for Linking Data — a W3C standard for embedding structured data in web pages using the
<script type='application/ld+json'>tag. Search engines and AI crawlers use JSON-LD schemas (e.g.,FAQPage,BreadcrumbList) to understand page content.
K
- Key-Value Store
- A simple database that maps unique keys to arbitrary values, optimized for fast reads and writes. Paperclip's built-in key-value store lets agents persist small pieces of state (user preferences, session data) without spinning up a separate database. See Persistent Memory.
- Kubernetes
- An open-source system for automating deployment, scaling, and management of containerized applications. HostAgentes runs its agent infrastructure on Kubernetes internally, abstracting away cluster management from developers.
L
- LLM (Large Language Model)
- A deep learning model trained on massive text corpora to understand and generate human language. LLMs such as GPT-4, Claude, and Gemini serve as the reasoning engine inside most modern AI agents.
- Latency
- The time elapsed between sending a request to an agent and receiving the first byte of a response. High latency degrades user experience; HostAgentes targets sub-200 ms median latency via regional deployments and pre-warmed instances.
- Load Balancing
- The distribution of incoming requests across multiple agent instances to prevent any single instance from becoming a bottleneck. HostAgentes handles load balancing automatically as part of its managed infrastructure.
M
- Memory (Persistent)
- Storage that survives beyond a single conversation or session, allowing an agent to recall facts, preferences, and past interactions. HostAgentes provides a built-in vector store and key-value store for persistent memory without any database setup. See Persistent Memory.
- Model Provider
- A company or service that exposes an LLM via API — for example, OpenAI (GPT), Anthropic (Claude), Google (Gemini), or Mistral. HostAgentes is model-agnostic; you can switch providers without redeploying your agent.
- Multi-Agent
- An architecture in which several specialized agents collaborate to complete a task too complex for a single agent. Paperclip's orchestration layer is purpose-built for multi-agent workflows, with built-in message routing, state sharing, and fault tolerance. See Features.
- Monitoring
- The continuous observation of an agent's behavior, performance, and resource usage in production. HostAgentes provides a real-time dashboard with per-agent metrics: request count, latency percentiles, token usage, error rates, and cost. See Monitoring.
O
- OpenClaw
- HostAgentes's BYOK (Bring Your Own Key) agent hosting product, starting from $3.99/mo. OpenClaw is designed for developers who want lightweight, cost-efficient hosting while retaining direct control over their model provider API keys. See OpenClaw.
- Orchestration
- See Agent Orchestration. In the context of Paperclip, orchestration refers to the runtime that coordinates agent lifecycles, routes messages between agents, and manages shared state across a multi-agent pipeline.
P
- Paperclip
- An open-source multi-agent orchestration framework — and the primary product hosted by HostAgentes. Paperclip provides the runtime, APIs, and tooling to build, connect, and manage AI agents. HostAgentes is the managed cloud for Paperclip. See Features.
- Persistent Memory
- See Memory (Persistent).
- Prompt Engineering
- The craft of writing and structuring instructions, examples, and context to elicit optimal outputs from an LLM. Effective prompt engineering reduces hallucination, improves task completion, and keeps agents on-task within their context window.
- PaaS (Platform as a Service)
- A cloud delivery model where the provider manages the underlying infrastructure (servers, networking, OS) and developers focus solely on their application code. HostAgentes is a PaaS specifically designed for AI agents, abstracting away all DevOps concerns.
R
- Rate Limiting
- Enforcing a maximum number of requests a caller can make within a time window. HostAgentes applies configurable rate limits at the API gateway level to protect your agents from abuse and control costs.
- RAG (Retrieval-Augmented Generation)
- An architecture in which an agent first retrieves relevant documents from a vector store or search index, then passes them as context to an LLM to generate a grounded response. RAG dramatically reduces hallucination for knowledge-intensive tasks.
- Region
- See Deployment Region.
S
- Scaling
- Increasing (scaling up/out) or decreasing (scaling down/in) compute resources in response to demand. Horizontal scaling adds more agent instances; vertical scaling increases the resources of existing instances. HostAgentes handles both automatically. See Auto-Scaling.
- Schema Markup
- Structured data annotations (typically JSON-LD) added to web pages to help search engines and AI systems understand page content. HostAgentes's marketing site uses extensive schema markup including
SoftwareApplication,FAQPage, andBreadcrumbList. - SSL (Secure Sockets Layer)
- A cryptographic protocol (now superseded by TLS but the term persists) that establishes encrypted connections between clients and servers. Every agent endpoint on HostAgentes is served over HTTPS with auto-renewed TLS certificates.
- Streaming (SSE)
- Server-Sent Events — a mechanism for pushing data from server to client over a persistent HTTP connection. LLM APIs commonly stream token-by-token output via SSE, enabling agents to display partial responses as they're generated rather than waiting for the full completion.
- SLA (Service Level Agreement)
- A contractual commitment from a provider about uptime, latency, and support response times. HostAgentes publishes SLAs for each plan tier; higher tiers include stricter uptime guarantees and priority support.
T
- Token
- The basic unit of text processed by an LLM — roughly 3-4 characters or 0.75 words in English. Model providers charge per token; agents should be designed to minimize unnecessary token consumption to keep inference costs low.
- Tool Use
- The ability of an LLM-powered agent to call external functions, APIs, or services as part of its reasoning loop. Tool use (also called function calling) is what transforms a passive chatbot into an active agent capable of taking real-world actions.
V
- Vector Store
- A specialized database optimized for storing and querying high-dimensional embedding vectors. Vector stores power semantic search and RAG pipelines. Paperclip includes a managed vector store so agents can retrieve relevant context without a separate database. See Persistent Memory.
- VPS (Virtual Private Server)
- A virtualized server sold as a service, giving the user root access to a dedicated slice of a physical machine. Unlike a VPS, HostAgentes's managed environment handles OS updates, security patches, and scaling for you — you only manage your agent code.
W
- Webhook
- An HTTP callback that sends a POST request to a specified URL when a specific event occurs. Agents on HostAgentes can both consume webhooks (to react to external events) and emit them (to notify downstream systems when tasks complete).
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