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agentThe list of local variable identifiers this agent needs to clarify its context requirements.
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descriptionA markdown description of its functionality and its privacy-relevant requirements, including function call handlers that access some data autonomously.
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functionsThe list of global function identifiers this agent needs to clarify its context requirements.
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idUsed to identify an agent, e.g. when it is requesting language models, etc.
This parameter might be removed in favor of name
. Therefore, it is recommended to set id
to the same value as name
for now.
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languageRequired language models. This includes the purpose and optional language model selector arguments. See #47.
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nameHuman-readable name shown to users to identify the agent. Must be unique.
Use short names without "Agent" or "Chat" (see tags
for adding further properties).
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promptThe prompt templates introduced and used by this agent.
Optional
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tagsA list of tags to filter agents and to display capabilities in the UI
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variablesThe list of global variable identifiers this agent needs to clarify its context requirements. See #39.
Agents represent the main functionality of the AI system. They are responsible for processing user input, collecting information from the environment, invoking and processing LLM responses, and providing the final response to the user while recording their actions in the AI history.
Agents are meant to cover all use cases, from specialized scenarios to general purpose chat bots.
Agents are encouraged to provide a detailed description of their functionality and their processed inputs. They can also declare their used prompt templates, which makes them configurable for the user.