Glossary
Quick reference for AgentFlow terminology.A
AgentA configured AI assistant with specific behavior, personality, and capabilities. API
Application Programming Interface - allows external applications to interact with AgentFlow programmatically.
C
Context WindowThe amount of conversation history an AI model can remember at once. Conversation
A thread of messages between a user and an agent.
D
DistributionDeploying an agent to multiple organizations while maintaining data isolation.
M
Model The underlying AI technology (e.g., GPT-4, Claude) that powers an agent. Model Configuration A complete set of settings for an AI model including endpoint, headers, request schema, and message formatting rules. Model Export Downloading a model configuration as a YAML file for backup or sharing. Header values and API keys are excluded for security. Model Import Uploading a YAML configuration file to create or update a model. Requires manually adding API keys and header values after import.O
OrganizationA workspace containing agents, team members, and conversations with complete data isolation.
R
RolePermission level assigned to team members (Owner, Admin, Member, Guest).
S
System PromptInstructions that define an agent’s behavior, personality, and capabilities.
T
Temperature Setting that controls how creative vs. consistent an agent’s responses are (0.0-1.0). Token Unit of text processed by AI models. Roughly 0.75 words per token.Y
YAML A human-readable data format used for model configuration files. Allows easy sharing and version control of model settings.Need More Help?
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