{{ question }}
", "id": "conditionAgentAgentflow_0-input-conditionAgentInput-string", "display": true }, { "label": "Scenarios", "name": "conditionAgentScenarios", "description": "Define the scenarios that will be used as the conditions to split the flow", "type": "array", "array": [ { "label": "Scenario", "name": "scenario", "type": "string", "placeholder": "User is asking for a pizza" } ], "default": [ { "scenario": "" }, { "scenario": "" } ], "id": "conditionAgentAgentflow_0-input-conditionAgentScenarios-array", "display": true }, { "label": "Override System Prompt", "name": "conditionAgentOverrideSystemPrompt", "type": "boolean", "description": "Override initial system prompt for Condition Agent", "optional": true, "id": "conditionAgentAgentflow_0-input-conditionAgentOverrideSystemPrompt-boolean", "display": true }, { "label": "Node System Prompt", "name": "conditionAgentSystemPrompt", "type": "string", "rows": 4, "optional": true, "acceptVariable": true, "default": "You are part of a multi-agent system designed to make agent coordination and execution easy. Your task is to analyze the given input and select one matching scenario from a provided set of scenarios.
\nOutput should be a JSON object that names the selected scenario, like this: {\"output\": \". No explanation is needed.
Input: {\"input\": \"Hello\", \"scenarios\": [\"user is asking about AI\", \"user is not asking about AI\"], \"instruction\": \"Your task is to check if the user is asking about AI.\"}
Output: {\"output\": \"user is not asking about AI\"}
Input: {\"input\": \"What is AIGC?\", \"scenarios\": [\"user is asking about AI\", \"user is asking about the weather\"], \"instruction\": \"Your task is to check and see if the user is asking a topic about AI.\"}
Output: {\"output\": \"user is asking about AI\"}
Input: {\"input\": \"Can you explain deep learning?\", \"scenarios\": [\"user is interested in AI topics\", \"user wants to order food\"], \"instruction\": \"Determine if the user is interested in learning about AI.\"}
Output: {\"output\": \"user is interested in AI topics\"}
You are a customer support agent. Understand and process support tickets by automatically triaging them to the correct departments or individuals, generating immediate responses for common issues, and gathering necessary information for complex queries.
Follow the following routine with the user:
1. First, greet the user and see how you can help the user
2. If question is related to HR query, handoff to HR Agent
3. If question is related to events query, handoff to Event Manager
Note: Transfers between agents are handled seamlessly in the background; do not mention or draw attention to these transfers in your conversation with the user
", "conditionAgentInput": "{{ $form.subject }}
", "conditionAgentScenarios": [ { "scenario": "Query is related to HR" }, { "scenario": "Query is related to events" }, { "scenario": "Query is general query" } ], "conditionAgentOverrideSystemPrompt": "", "conditionAgentSystemPrompt": "You are part of a multi-agent system designed to make agent coordination and execution easy. Your task is to analyze the given input and select one matching scenario from a provided set of scenarios.
\nOutput should be a JSON object that names the selected scenario, like this: {\"output\": \". No explanation is needed.
Input: {\"input\": \"Hello\", \"scenarios\": [\"user is asking about AI\", \"user is not asking about AI\"], \"instruction\": \"Your task is to check if the user is asking about AI.\"}
Output: {\"output\": \"user is not asking about AI\"}
Input: {\"input\": \"What is AIGC?\", \"scenarios\": [\"user is asking about AI\", \"user is asking about the weather\"], \"instruction\": \"Your task is to check and see if the user is asking a topic about AI.\"}
Output: {\"output\": \"user is asking about AI\"}
Input: {\"input\": \"Can you explain deep learning?\", \"scenarios\": [\"user is interested in AI topics\", \"user wants to order food\"], \"instruction\": \"Determine if the user is interested in learning about AI.\"}
Output: {\"output\": \"user is interested in AI topics\"}
You are an HR agent responsible for retrieving and applying internal knowledge sources to answer employee queries about HR policies, procedures, and guidelines.
\nWhen responding to HR-related questions, you must first identify the relevant policy areas, search through available internal knowledge sources, and then provide accurate, comprehensive answers based on official company documentation.
\nAct as an event manager that can determine actions on events such as create, update, get, list and delete.
" } ], "agentTools": [ { "agentSelectedTool": "openAPIToolkit", "agentSelectedToolRequiresHumanInput": "", "agentSelectedToolConfig": { "yamlFile": 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{ "label": "Developer", "name": "developer" }, { "label": "User", "name": "user" } ] }, { "label": "Content", "name": "content", "type": "string", "acceptVariable": true, "generateInstruction": true, "rows": 4 } ], "id": "agentAgentflow_3-input-agentMessages-array", "display": true }, { "label": "Tools", "name": "agentTools", "type": "array", "optional": true, "array": [ { "label": "Tool", "name": "agentSelectedTool", "type": "asyncOptions", "loadMethod": "listTools", "loadConfig": true }, { "label": "Require Human Input", "name": "agentSelectedToolRequiresHumanInput", "type": "boolean", "optional": true } ], "id": "agentAgentflow_3-input-agentTools-array", "display": true }, { "label": "Knowledge (Document Stores)", "name": "agentKnowledgeDocumentStores", "type": "array", "description": "Give your agent context about different document sources. 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