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Glossary

This glossary defines common terms relevant for the PHP AI Client and related projects.

  • Agent: An autonomous system that can perceive its environment, make decisions, and take actions to achieve specific goals, often leveraging AI models.
  • Candidate Count: The number of different response options an LLM generates internally.
  • Capability: A specific skill, function, or type of task that an AI model can perform, e.g. text generation or image generation.
  • Extender API: The API used by developers that want to enable the use of additional Providers or Models.
  • Generative AI: Overarching term describing AI models that generate content as requested in a prompt.
  • Implementer API: The API used by people that want to implement AI features in their own software/products.
  • MCP: The "Model Context Protocol", a proposed standard for connecting AI assistants to the systems where data lives.
  • Message: A single message, either a user prompt, a model response, or a system prompt—optionally consisting of multiple message parts.
  • Message part: A part of a message, such as a piece of text, a URL, a file, or a function call.
  • Modality: The type or format of input provided to, or output received from, an AI model. Examples include text, image, audio, and video.
  • Model: A specific AI model that supports arbitrary AI features and modalities. Examples include content generation, classification, embedding.
  • Option: AI configuration and output options for a model, e.g. temperature or output schema.
  • Prompt: The input that a generative AI model uses to generate content—often text, but it can also be of other modalities.
  • Provider: An entity (company, organization, or platform) that offers access to one or more AI models or services via an API (e.g., Anthropic, Google, OpenAI, a locally hosted service).
  • Provider Registry: Manages the available AI Providers and Models. Provides a mechanism to find models that match criteria for a given AI interaction.