edges: - id: botdojo/node/start_bec49-text_input-botdojo/node/language_model_agent_423ab-text_input label: text_input source: botdojo/node/start_bec49 target: botdojo/node/language_model_agent_423ab sourceName: text_input targetName: text_input - id: botdojo/node/buffer_memory_4f94b-memory-botdojo/node/language_model_agent_423ab-memory label: memory source: botdojo/node/buffer_memory_4f94b target: botdojo/node/language_model_agent_423ab sourceName: memory targetName: memory - id: botdojo/node/code_tool_7d705-tool-botdojo/node/language_model_agent_423ab-tools label: tool source: botdojo/node/code_tool_7d705 target: botdojo/node/language_model_agent_423ab sourceName: tool targetName: tools - id: botdojo/node/language_model_agent_423ab-text_output-botdojo/node/code_node_29e99-text_input label: text_output source: botdojo/node/language_model_agent_423ab target: botdojo/node/code_node_29e99 sourceName: text_output targetName: text_input - id: botdojo/node/code_node_29e99-text_output-botdojo/node/end_203dd-text_output label: text_output source: botdojo/node/code_node_29e99 target: botdojo/node/end_203dd sourceName: text_output targetName: text_output - id: botdojo/node/code_node_29e99-escalate_to_agent-botdojo/node/end_203dd-escalate_to_agent label: escalate_to_agent source: botdojo/node/code_node_29e99 target: botdojo/node/end_203dd sourceName: escalate_to_agent targetName: escalate_to_agent nodes: - id: botdojo/node/start_bec49 icon: "@mui/icons-material/Start" label: Start version: "1.0" position: x: 53.04103905130961 y: 116.43224381010845 properties: inputSchema: schemaId: custom jsonSchema: type: object title: Text Input required: - text_input properties: text_input: type: string botdojo_order: 0 definitionId: botdojo/node/start outputOptions: {} - id: botdojo/node/end_203dd icon: "@mui/icons-material/Output" label: End version: "1.0" position: x: 1402.5293922651936 y: 268.8645303867403 properties: inputSchema: schemaId: custom jsonSchema: type: object title: Text Output required: - text_output properties: text_output: type: string botdojo_order: 0 escalate_to_agent: type: string outputSchema: schemaId: custom jsonSchema: type: object title: Text Input schema: https://botdojo.ai/schemas/text_input required: - text_output - escalate_to_agent properties: text_output: type: string botdojo_order: 0 escalate_to_agent: type: boolean botdojo_order: 1 definitionId: botdojo/node/end outputOptions: {} - id: botdojo/node/language_model_agent_423ab icon: /integrations/openai-white.svg label: AI Agent version: "" position: x: 720 y: 41.5 properties: maxIterations: 10 functionConfig: inputSchema: schemaId: custom jsonSchema: type: object title: Text Input required: - text_input properties: text_input: type: string botdojo_order: 0 outputSchema: schemaId: custom jsonSchema: type: object title: Text Output required: - text_output properties: text_output: type: string botdojo_order: 0 languageModel: model_id: gpt-4-turbo provider_id: botdojo/integration/provider/openai promptTemplate: messages: - id: 41e957c0-9cc0-11ef-aff7-85458ec1a3c6 role: system template: > You are a helpful agent with access to various tools to assist users effectively. Today's date is: {{now}} If you need to escalate to an agent, use the escalate_to_agent tool. When using tools (if they were available): 1. Select the most appropriate tool for the task. 2. Format your response exactly as shown in the JSON examples provided. 3. Replace the placeholder values with relevant information based on the user's request. 4. Ensure all required fields are filled correctly. Your task is to process the user's input: {{text_input}} Remember to maintain a friendly and professional tone in all interactions, and always strive to provide the most accurate and relevant information to the user. If you're unsure about how to proceed, ask the user for clarification. - id: 4e8704a0-9cc0-11ef-aff7-85458ec1a3c6 role: chat_history_placeholder historyKey: chat_history - id: 41e957c1-9cc0-11ef-aff7-85458ec1a3c6 role: user template: "{{text_input}}" languageModelOptions: modelId: gpt-4-turbo streamToChat: always providerSpecificConfig: {} hideStepDetails: false showStepsToUser: true finalOutputPromptTries: 3 useParallelToolCalling: true warningThresholdMessage: null customFinalOutputMessage: null disableFinalOutputMessage: false warningThresholdIteration: null definitionId: botdojo/node/language_model_agent outputOptions: {} - id: botdojo/node/buffer_memory_4f94b icon: "@mui/icons-material/Memory" label: Buffer Memory version: "1.0" position: x: 358.41443238438717 y: -192.2567028468385 properties: memoryKey: buffer_memory numberOfMessages: 25 userMessageBehavior: default definitionId: botdojo/node/buffer_memory outputOptions: {} - id: botdojo/node/code_tool_7d705 icon: "@mui/icons-material/Code" label: escalate_to_agent (Code Node) version: "1.0" position: x: 355.97679558011055 y: -7.242489762379805 properties: functionConfig: allowEnv: true testInput: {} inputSchema: schemaId: custom jsonSchema: type: object title: Text Input required: - text_input properties: text_input: type: string botdojo_order: 0 outputSchema: schemaId: custom jsonSchema: type: object title: Text Input schema: https://botdojo.ai/schemas/text_input required: - success properties: logs: type: array items: type: string botdojo_order: 1 success: type: boolean botdojo_order: 0 allowCallback: true sandboxFunction: code: >+ async function execute( input: InputSchema, node:INode, context: IFlowContext): Promise { const sessionState = await context.sessionState.get("default"); await sessionState.setVariable('escalate_to_agent', true); return { success: true, logs: [JSON.stringify(sessionState), JSON.stringify(await sessionState.getVariable('escalate_to_agent'))] } } options: {} language: typescript toolNameOverride: escalate_to_agent toolInstructionsOverride: If the user ever asks to talk to our agent, you can use this tool to escalate to an agent definitionId: botdojo/node/code_tool outputOptions: {} - id: botdojo/node/code_node_29e99 icon: "@mui/icons-material/Code" label: Code version: "1.0" position: x: 1012.7253223191785 y: 224.93618784530378 properties: functionConfig: allowEnv: true testInput: {} inputSchema: schemaId: custom jsonSchema: type: object title: Text Input required: - text_input properties: text_input: type: string botdojo_order: 0 outputSchema: schemaId: custom jsonSchema: type: object title: Text Input schema: https://botdojo.ai/schemas/text_input required: - text_output properties: logs: type: array items: type: string botdojo_order: 2 text_output: type: string botdojo_order: 0 escalate_to_agent: type: boolean botdojo_order: 1 allowCallback: true sandboxFunction: code: >+ async function execute( input: InputSchema, node:INode, context: IFlowContext): Promise { const ss = await context.sessionState.get("default"); const escalate_to_agent = (await ss.getVariable("escalate_to_agent")) || false; return { text_output: input.text_input, escalate_to_agent: escalate_to_agent, logs: [JSON.stringify(ss)] } } options: {} language: typescript definitionId: botdojo/node/code_node outputOptions: {} definition: name: L1 Agent Example categories: - Featured chatConfig: welcomeMessage: >+ I'm an agent that can search the web to answer questions. Try asking me "What's the weather today in Austin?" or "What's today's news?" If you want to change this welcome message, go to ⚙️ > Chat > Chat Settings > Welcome Message. properties: [] description: A helpful chatbot that can have a typical conversation and use the Internet to get the latest news and information readmeMarkdown: >+ An agent that can search the web to answer questions. Try asking me "What's the weather today in Austin?" or "What's today's news?" packageExportTypes: [] propertyOverrides: []