Glossary
All concepts that appear in the help documentation, arranged in alphabetical order. Click a "See" link to jump to the corresponding document.
A
| Term | One-Sentence Description | See |
|---|---|---|
| Agent | The umbrella term for AI applications built on the platform, divided into Chatflow (conversational) and Workflow (batch-processing) types | Platform Overview |
| Agent Marketplace | Where you browse, use, and fork Agents published by others; marketplace content is for learning and exchange only and does not constitute a recommendation | Region-Specific Service Notes |
| Agent node | An autonomous execution node on the canvas: the LLM loops through tool calls on its own until the task is complete (Function Calling mode) | Agent Node |
| Agentic Chat | Lightweight creation mode: configure a prompt and attach tools to run, no canvas orchestration needed — a lightweight version of Chatflow | Tip 1 |
| Answer node | The node in a Chatflow that outputs the reply to the user | Answer Node |
B
| Term | One-Sentence Description | See |
|---|---|---|
| Benefit Card | A time-limited higher-tier experience card: it does not change your subscription, and during its validity it upgrades feature entitlements and stacks extra usage | HKSG Benefit Card |
| Branch Aggregator | A node that merges same-type variables from multiple branches into a single variable (e.g. array[string]) | Branch Aggregator Node |
C
| Term | One-Sentence Description | See |
|---|---|---|
| Charged By | The attribution rule that determines which Workspace a run's usage is billed to | Who Pays for Usage |
| Chatflow | Canvas-orchestrated multi-turn conversational Agents (e.g. intelligent customer service) | Platform Overview |
| Code node (Code Execution) | A node that runs Python3 / JavaScript code in a sandbox; the code must implement a main function and return a dictionary | Code Node |
| Context compression | Automatic compression of history in long conversations to avoid exceeding the context limit | Context and Memory Management |
D
| Term | One-Sentence Description | See |
|---|---|---|
| DSL | The import/export file (YAML) for application orchestration; model availability is validated automatically on import | Debugging and Observability |
E
| Term | One-Sentence Description | See |
|---|---|---|
| Editor | A Workspace member role: can create and edit resources within the space; the number is limited by plan | Member Roles |
| Embedding | Vectorization of knowledge base documents; one of the billing units | What Consumes Usage |
| End node | The end node of a Workflow, defining the final output | End Node |
| Error handling / retry on failure | Node-level fault-tolerance configuration: automatic retry on failure, handling exceptions by policy | Tool Node |
F
| Term | One-Sentence Description | See |
|---|---|---|
| Function Calling | The Agent node's tool-calling mode: the model uses tools via function calls, looping until the task is complete | Agent Node |
G
| Term | One-Sentence Description | See |
|---|---|---|
| Guardrail | Two-way compliance interception on input/output: PII masking, blocking of harmful content and financial violations | Guardrail |
H
| Term | One-Sentence Description | See |
|---|---|---|
| Http Request node | A node that calls external HTTP APIs to fetch data; supports importing cURL | Http Request Node |
| Human in the Loop (HITL) | A mode that proactively pauses at key nodes during execution and waits for human confirmation | Planning and Execution |
I
| Term | One-Sentence Description | See |
|---|---|---|
| IF Else node (Conditional Branch) | A routing node with IF / ELIF / ELSE multi-condition branching | IF Else Node |
| item variable | The variable that nodes inside an iteration use to reference "the element being processed in the current round" | Iteration Node |
| Iteration node | A container node that processes a list item by item, with parallel mode and error handling support | Iteration Node |
J
| Term | One-Sentence Description | See |
|---|---|---|
| Jinja2 | The template language used by the Variables Transformer node (variables, filters, control structures) | Variables Transformer Node |
K
| Term | One-Sentence Description | See |
|---|---|---|
| Knowledge Base | Upload private documents for the Agent to retrieve and answer from; capacity depends on plan | Knowledge Base |
L
| Term | One-Sentence Description | See |
|---|---|---|
| Langfuse | The third-party tracing platform supported by Trace App Performance, used for debugging and performance analysis | Debugging and Observability |
| LLM node | The core node that calls a large language model (prompt, model, memory, structured output) | LLM Node |
| Logs (Run Logs) | View each run's inputs and outputs, execution path, and failure reasons | Debugging and Observability |
| LongbridgeAI Chatbot (chat client) | The official conversational product, which shares the same usage quota as the Agent platform | Chat Experience |
| Long-term / Short-term memory | Cross-session / in-session memory capabilities, configured via switches in nodes such as LLM | Context and Memory Management |
| Loop node | A container node that repeatedly executes the same logic until an exit condition or maximum count is reached | Loop Node |
M
| Term | One-Sentence Description | See |
|---|---|---|
| MCP (third-party MCP Server) | An external tool integration protocol, available on the Premium plan | Plan Benefits Quick Reference |
| Memory window | The number of context turns retained in a multi-turn conversation; setting the smallest sufficient value helps control usage | Context and Memory Management |
| Model tiers (Mainstream / SOTA) | Models are divided into two consumption tiers, with SOTA consuming more per unit; node-level model configuration is supported | Model Tiers and Usage |
O
| Term | One-Sentence Description | See |
|---|---|---|
| OpenAPI tools | External API tools configured by users themselves; calls are not billed | Tool Node |
| Owner | The single highest-privilege member of a Workspace, the only one who can perform commercial operations such as subscription purchases/upgrades | Member Roles |
P
| Term | One-Sentence Description | See |
|---|---|---|
| Parameter Extractor | A node that uses an LLM to extract structured parameters from natural language, commonly used to feed tool inputs | Parameter Extractor Node |
| Plan | The commercial object that determines a Workspace's feature scope and usage quota | Plan |
| Pro / Premium | Paid plan tiers (auto-renewing monthly subscription) | Plan |
| Prompt | The instruction text that directs model behavior, split into System / User layers | Prompt Writing Tips |
Q
| Term | One-Sentence Description | See |
|---|---|---|
| Question Classifier | A routing node that classifies user questions by intent and routes them to different branches accordingly | Question Classifier Node |
R
| Term | One-Sentence Description | See |
|---|---|---|
| RAG (Retrieval-Augmented Generation) | A Q&A paradigm that first retrieves from a knowledge base / search, then answers based on the retrieved results | RAG Retrieval Patterns |
| Rerank | Reordering of retrieval results; one of the billing units | What Consumes Usage |
S
| Term | One-Sentence Description | See |
|---|---|---|
| Security review | The platform's review of an Agent's name, avatar, description, and Prompt before publishing / marketplace listing | Security Review |
| Skill | An on-demand capability/methodology package that can be attached to an Agent; the maximum number depends on plan | Skill System |
| Start node | The entry node of a flow, defining the input fields | Start Node |
| Starter | The free plan, activated automatically upon registration | Plan |
| Statistics | The Agent analytics dashboard: trends in conversation count, active users, latency, satisfaction, etc. | Debugging and Observability |
| Structured output | The ability to make an LLM output reliably in a defined structure (e.g. JSON) | LLM Node |
| System Prompt | The stable part of a prompt: role definition, behavioral rules, output format, compliance red lines | Prompt Writing Tips |
T
| Term | One-Sentence Description | See |
|---|---|---|
| Test run (trial run) | Run a single node or the entire flow to validate results without publishing the application | Debugging and Observability |
| Tool node | A node that calls the platform's built-in tools or OpenAPI tools to fetch data or perform actions | Tool Node |
| Trace App Performance | Sends the application's execution context to a third-party tracing platform (Langfuse) for debugging and analysis | Debugging and Observability |
U
| Term | One-Sentence Description | See |
|---|---|---|
| Usage | The metering system for AI consumption: LLM calls, Embedding, sandbox runs, etc. are all converted into USD | Usage |
V
| Term | One-Sentence Description | See |
|---|---|---|
| Variable | The carrier for passing data between nodes, including input and output variables | Variables and Data Flow |
| Variables Transformer | A node that formats/transforms variables using Jinja2 templates | Variables Transformer Node |
| Viewer | A Workspace member role: read-only viewing and use of resources; the number is limited by plan | Member Roles |
W
| Term | One-Sentence Description | See |
|---|---|---|
| Weekly rolling release | The monthly quota is released on a rolling 7-day basis; weekly availability ≈ monthly total ÷ 4 | How Quota Is Released |
| Workflow | Automated batch-processing Agents (one input, one output — e.g. research report generation) | Platform Overview |
| Workflow triggers | Scheduled / Webhook triggers that run Workflows automatically, unattended | Workflow Triggers |
| Workspace | The basic unit that hosts Agents, knowledge bases, and usage — the boundary within which a plan takes effect | Workspace and Plans |