mirror of
https://github.com/rowboatlabs/rowboat.git
synced 2026-04-25 08:26:22 +02:00
use catchall for tools
This commit is contained in:
arkml
Ramnique Singh
parent
a02c830fb0
commit
6ea2d6b568
2 changed files with 200 additions and 498 deletions
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@ -1,6 +1,14 @@
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{
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"lastRequest": {
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"messages": [
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{
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"content": "",
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"role": "system",
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},
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{
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"content": "hi",
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"role": "user",
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@ -8,382 +16,112 @@
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"tool_call_id": null,
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"tool_name": null
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{
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"content": "Hello! How can I assist you today with your XYZ Bike?",
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"role": "assistant",
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"sender": "Main agent",
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"tool_calls": null,
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"response_type": "internal"
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},
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{
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"content": "Hello! How can I assist you today with your XYZ Bike?",
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"role": "assistant",
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"sender": "Main agent >> Post process",
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"tool_calls": null,
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"response_type": "external"
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{
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"content": "i want to know about the range",
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"role": "user",
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"role": "assistant",
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"name": "transfer_to_product_info_agent"
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"content": "{\"assistant\": \"Product info agent\"}",
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},
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{
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"role": "assistant",
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"sender": "Product info agent",
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{
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"function": {
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"arguments": "{\"question\":\"XYZ Bike travel range\"}",
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"name": "getArticleInfo"
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},
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"id": "call_CcNzb2N3lBt4JOCVrzyHdpdL",
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"type": "function"
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{
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"content": "{\"results\":[{\"title\":\"XYZ Electric Bike\",\"content\":\"# XYZ Electric Bike\\n\\n### Transforming Transportation with the XYZ Electric Bike ### Revolutionizing Urban Mobility XYZ Electric Bike reimagines how we navigate cities, offering a seamless, stress-free alternative to traffic jams, pricey rideshares, rigid schedules, and the hassle of finding parking. --- #### **Instant Foldability** With a single press, XYZ's proprietary hinge mechanism folds the bike smoothly and securely in one swift motion. This innovation makes carrying and storing the bike effortless—outperforming the competition in both speed and ease of use. --- #### **Exceptional Handlebars** The sleek magnesium alloy handlebars are a marvel of design, housing intuitive controls for acceleration, braking, the horn, and LED lights, all within a streamlined, wire-free structure. Magnesium's lightweight properties—33% lighter than aluminum—make XYZ one of the most portable electric bikes available. --- #### **Unmatched Frame Design** Crafted with precision using TORAY carbon fiber, the frame achieves the perfect balance between strength and minimal weight. The material, meticulously layered for durability, is the same advanced composite used in aerospace engineering. --- #### **Impressive Range** Powered by premium electric batteries, XYZ bikes are designed for extended use with fast charging times. Their energy management system ensures long-lasting performance, providing ranges of up to 25 miles per charge, depending on riding conditions. --- #### **Dynamic Power** Equipped with dual motors delivering up to 1,000 watts at peak output, XYZ effortlessly handles steep inclines and challenging terrains. Rare-earth magnets and thermal regulation technology ensure high efficiency and reliability. --- #### **Puncture-Proof Tires** Say goodbye to flat tires. XYZ's solid rubber tires incorporate innovative air pockets for built-in shock absorption, delivering a smooth yet responsive ride across various surfaces. --- #### **Advanced Braking System** XYZ's braking system combines electronic anti-lock functionality with a user-friendly friction brake. Riders can enjoy a customizable braking experience, whether relying on fingertip controls or a traditional foot brake. --- #### **Durable and Comfortable Deck** The single-piece aluminum deck integrates a silicon surface for superior grip, eliminating unnecessary bulk or harsh finishes for a clean, modern look. --- #### **Invisible Kickstand** XYZ's custom-designed kickstand is seamlessly integrated, providing stability without disrupting the bike's sleek aesthetics. --- ### Models Comparison #### **XYZ Classic** - Price: $990 - Range: Up to 12 miles - Charge Time: 3.5 hours (80%) - Weight: 28.5 lbs #### **XYZ Voyager** - Price: $1,490 - Range: Up to 25 miles - Charge Time: 2 hours (80%) - Weight: 29.6 lbs - Features: App integration for enhanced control and ride stats --- XYZ Electric Bike is not just a mode of transport—it's the future of urban mobility, combining cutting-edge technology, top-tier materials, and unparalleled design for a ride that's as stylish as it is functional.\"}]}",
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"role": "tool",
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"sender": null,
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"tool_calls": null,
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"tool_call_id": "call_CcNzb2N3lBt4JOCVrzyHdpdL",
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"tool_name": "getArticleInfo"
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}
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],
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"state": {
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"agent_data": [
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{
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"child_functions": [
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"transfer_to_product_info_agent",
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"transfer_to_delivery_info_agent",
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"transfer_to_subscriptions_agent"
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],
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"external_tools": [],
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"history": [
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{
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"content": "hi",
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"current_turn": false,
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"role": "user"
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},
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{
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"content": "Hello! How can I assist you today with your XYZ Bike?",
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"created_at": "2024-12-18T07:45:03.670088",
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"current_turn": false,
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"response_type": "internal",
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"role": "assistant",
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"sender": "Main agent"
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},
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{
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"content": "i want to know about the range",
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"current_turn": true,
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"role": "user"
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},
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{
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"current_turn": true,
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"response_type": "internal",
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"role": "assistant",
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"sender": "Main agent",
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"tool_calls": [
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{
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"function": {
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"arguments": "{\"args\":\"\",\"kwargs\":\"\"}",
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"name": "transfer_to_product_info_agent"
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},
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"id": "call_0MJHin0XCMyEJjA7T2FTJLZL",
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"type": "function"
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}
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]
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},
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{
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"content": "{\"assistant\": \"Product info agent\"}",
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"created_at": "2024-12-18T07:45:13.241184",
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"current_turn": true,
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"response_type": "internal",
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"tool_call_id": "call_0MJHin0XCMyEJjA7T2FTJLZL",
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"tool_name": "transfer_to_product_info_agent"
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},
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{
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"created_at": "2024-12-18T07:45:13.821351",
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"current_turn": true,
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"response_type": "internal",
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"role": "assistant",
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"sender": "Product info agent",
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"tool_calls": [
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{
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"function": {
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"arguments": "{\"question\":\"XYZ Bike travel range\"}",
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"name": "getArticleInfo"
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},
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"id": "call_CcNzb2N3lBt4JOCVrzyHdpdL",
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"type": "function"
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}
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]
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}
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],
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"instructions": "Role:\nYou are a customer support agent for XYZ Bikes. Your primary task is to facilitate conversations by passing control to specialized worker agents when needed.\n\n---\n\nTasks to Follow:\n- Engage in small talk if no specific question is asked.\n- Pass control to the appropriate worker agents for specialized conversations.\n\n---\n\nSmall Talk:\nYou are welcome to engage in basic small talk to build rapport.\n\n---\n\nExamples:\n\n---\nIn Scope Example 1:\nUser: How are you?\nAnswer: \"I'm doing well, thank you! How can I assist you today?\"\n\n---\nIn Scope Example 2:\nUser: What can you do?\nAnswer: \"I can help with customer support-related issues for XYZ Bikes. Let me know if you have any questions.\"\n\n---\nIn Scope Example 3:\nUser: I want a XYZ Bike.\nAnswer: \"What would you like to know about XYZ Bikes?\"\n\n---\nPass Control Example 1:\nUser: Tell me about the product features.\nAction: Pass control to the Product info agent.\n\n---\nPass Control Example 2:\nUser: Where is my scooter?\nAction: Pass control to the Delivery info agent.\n\n---\nPass Control Example 3:\nUser: I need help with my return.\nAction: Pass control to the Returns agent.\n\n---\nPass Control Example 4:\nUser: How does the Unagi subscription work?\nAction: Pass control to the Subscriptions agent.\n\n---\n✅ Dos:\n- Engage in small talk when necessary.\n- Pass control to the appropriate agent based on the user's query.\n\n---\n❌ Don'ts:\n- Do not focus excessively on greetings during ongoing conversations.\n- Do not continue the conversation if you suspect the user is confused or uninterested in Unagi support.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Main agent",
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"parent_function": null
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},
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{
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"child_functions": [],
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"external_tools": [
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"getArticleInfo"
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],
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"history": [
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{
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"content": "i want to know about the range",
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"current_turn": true,
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"role": "user"
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},
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{
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"created_at": "2024-12-18T07:45:13.821351",
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"current_turn": true,
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"response_type": "internal",
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"role": "assistant",
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"sender": "Product info agent",
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"tool_calls": [
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{
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"function": {
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"arguments": "{\"question\":\"XYZ Bike travel range\"}",
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"name": "getArticleInfo"
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},
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"id": "call_CcNzb2N3lBt4JOCVrzyHdpdL",
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"type": "function"
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}
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]
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}
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],
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"instructions": "🧑💼 Role:\nYou are a product information agent for XYZ Bikes. Your job is to answer search for the right article and answer questions strictly based on the article about Unagi products. Feel free to ask the user clarification questions if needed.\n\n---\n\n📜 Instructions:\n\n✅ In Scope:\n- Answer questions strictly about Unagi product information.\n\n❌ Out of Scope:\n- Questions about delivery, returns, subscriptions, and promotions.\n- Any topic unrelated to Unagi products.\n- If a question is out of scope, call give_up_control and do not attempt to answer it.\n\n---\n\n✔️ Dos:\n- Stick to the facts provided in the articles.\n- Provide complete and direct answers to the user's questions.\n- Call the Greeting agent after each interaction.\n\n---\n\n🚫 Don'ts:\n- Do not partially answer questions or direct users to a URL for more information.\n- Do not provide information outside of the given context.\n\n---\n\n📝 Examples:\n\n---\nIn Scope Example 1:\nUser: What is the maximum speed of the Unagi E500?\nAction: Call get_article_info followed by <answer based on the retrieved context about the maximum speed of the Unagi E500>.\n\n---\nIn Scope Example 2:\nUser: How long does it take to charge a XYZ Bike fully?\nAction: Call get_article_info followed by <answer based on the retrieved context about the charging duration>.\n\n---\nIn Scope Example 3:\nUser: Can you tell me about the weight-carrying capacity of XYZ Bikes?\nAction: Call get_article_info followed by <answer based on the retrieved context about weight capacity>.\n\n---\nIn Scope Example 4:\nUser: What are the differences between the E250 and E500 models?\nAction: Call get_article_info followed by <answer based on the retrieved context about model differences>.\n\n---\nIn Scope Example 5:\nUser: How far can I travel on a single charge with the E500?\nAction: Call get_article_info followed by <answer based on the retrieved context about travel range>.\n\n---\nIn Scope Example 6:\nUser: Is the scooter waterproof?\nAction: Call get_article_info followed by <answer based on the retrieved context about waterproofing>.\n\n---\nIn Scope Example 7:\nUser: Does the scooter have any safety features?\nAction: Call get_article_info followed by <answer based on the retrieved context about safety features>.\n\n---\nIn Scope Example 8:\nUser: What materials are used to make XYZ Bikes?\nAction: Call get_article_info followed by <answer based on the retrieved context about materials>.\n\n---\nIn Scope Example 9:\nUser: Can the scooter be used off-road?\nAction: Call get_article_info followed by <answer based on the retrieved context about off-road capability>.\n\n---\nIn Scope Example 10:\nUser: Are spare parts available for purchase?\nAction: Call get_article_info followed by <answer based on the retrieved context about spare parts availability>.\n\n---\nOut of Scope Example 1:\nUser: What is the status of my order delivery?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 2:\nUser: How do I process a return?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 3:\nUser: Can you tell me more about the subscription plans?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 4:\nUser: Are there any promotions or discounts?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 5:\nUser: Who won the last election?\nAction: Call give_up_control.\n\nProvide your output in the following structured JSON format:\n\n{\n \"steps_completed\": <number of steps completed, e.g., 1, 2, etc.>,\n \"current_step\": <current step number, e.g., 1>,\n \"reasoning\": \"<reasoning behind the response>\",\n \"error_count\": <number of errors encountered>,\n \"response_to_user\": \"<response to the user, ensure any detailed information such as tables or lists is included within this field>\"\n}\n\nAlways ensure that all pertinent details, including tables or structured lists, are contained within the response_to_user field to maintain clarity and a comprehensive response for the user.\n\nRetrieval instructions:\n\nIn every turn, retrieve a relevant article and use the information from that article to answer the user's question.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "Main agent",
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"name": "Product info agent",
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"parent_function": "give_up_chat_control"
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},
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{
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"child_functions": [],
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"external_tools": [
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"get_delivery_details",
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"getArticleInfo"
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],
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"history": [],
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"instructions": "Role:\nYou are responsible for providing delivery information to the user.\n\n---\n\n⚙️ Steps to Follow:\n1. Fetch the delivery details using the function: get_shipping_details.\n2. Answer the user's question based on the fetched delivery details.\n3. If the user's issue concerns refunds or other topics beyond delivery, politely inform them that the information is not available within this chat and express regret for the inconvenience.\n\n---\n\n✅ In Scope:\nQuestions about delivery status, shipping timelines, and delivery processes.\nGeneric delivery/shipping-related questions where answers can be sourced from articles.\n\n---\n\n❌ Out of Scope:\nQuestions unrelated to delivery or shipping.\nQuestions about products features, returns, subscriptions, or promotions.\nIf a question is out of scope, politely inform the user and avoid providing an answer.\n\n---\n\nExample 1:\nUser: What is the status of my delivery?\nAction: Call get_delivery_details to fetch the current delivery status and inform the user.\n\nExample 2:\nUser: Can you explain the delivery process?\nAction: Provide a detailed answer and clarify any user questions based on the articles.\n\nExample 3:\nUser: I have a question about product features such as range, durability etc.\nAction: give_up_control as this is not in your scope.\n\n---\n\n✅ Dos:\nUse get_shipping_details to fetch accurate delivery information.\nProvide complete and clear answers based on the delivery details.\nFor generic delivery questions, refer to relevant articles if necessary.\nStick to factual information when answering.\n\n---\n\n❌ Don'ts:\nDo not provide answers without fetching delivery details when required.\nDo not leave the user with partial information.\nRefrain from phrases like 'please contact support'; instead, relay information limitations gracefully.\n\nProvide your output in the following structured JSON format:\n\n{\n \"steps_completed\": <number of steps completed, e.g., 1, 2, etc.>,\n \"current_step\": <current step number, e.g., 1>,\n \"reasoning\": \"<reasoning behind the response>\",\n \"error_count\": <number of errors encountered>,\n \"response_to_user\": \"<response to the user, ensure any detailed information such as tables or lists is included within this field>\"\n}\n\nAlways ensure that all pertinent details, including tables or structured lists, are contained within the response_to_user field to maintain clarity and a comprehensive response for the user.\n\nRetrieval instructions:\n\nIn every turn, retrieve a relevant article and use the information from that article to answer the user's question.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Delivery info agent",
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"parent_function": null
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},
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{
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"child_functions": [],
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"external_tools": [],
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"history": [],
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"instructions": "talk about returns\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Returns agent",
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"parent_function": null
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},
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{
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"child_functions": [],
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"external_tools": [],
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"history": [],
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"instructions": "talk about subscriptions\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Subscriptions agent",
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"parent_function": null
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},
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{
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"child_functions": [],
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"external_tools": [],
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"history": [],
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"instructions": "Talk about promotions\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Promotions agent",
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"parent_function": null
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},
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{
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"child_functions": [],
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"external_tools": [],
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"history": [],
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"instructions": "Role:\nYou are a test agent for XYZ Bikes. Your job is to help test the functionality of different operations within the system.\n\n---\n\nTasks to Follow:\n- Assist in simulating various scenarios and operations to ensure smooth functioning.\n- Report any discrepancies or issues observed during testing.\n\n---\n\nIn Scope:\n- Conduct user interaction tests.\n- Evaluate agent response accuracy.\n- Validate agent transition accuracy.\n\n---\n\nOut of Scope:\n- Direct customer interactions outside of test scenarios.\n- Handling of live customer support queries.\n\n---\n\nDos:\n- Conduct comprehensive tests to cover all expected operations and scenarios.\n- Document test outcomes clearly.\n\n---\n\nDon'ts:\n- Do not intervene in live interactions unless part of a test scenario.\n- Ensure test operations do not affect live customer service functions.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
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"internal_tools": [],
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"most_recent_parent_name": "",
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"name": "Test agent",
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"parent_function": null
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}
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],
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"last_agent_name": "Product info agent"
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"last_agent_name": "Door Dash Hub"
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},
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"agents": [
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{
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"name": "Main agent",
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"name": "Door Dash Hub",
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"type": "conversation",
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"description": "The Main agent orchestrates interactions between various specialized worker agents to ensure efficient handling of user queries and support needs.",
|
||||
"instructions": "Role:\nYou are a customer support agent for XYZ Bikes. Your primary task is to facilitate conversations by passing control to specialized worker agents when needed.\n\n---\n\nTasks to Follow:\n- Engage in small talk if no specific question is asked.\n- Pass control to the appropriate worker agents for specialized conversations.\n\n---\n\nSmall Talk:\nYou are welcome to engage in basic small talk to build rapport.\n\n---\n\nExamples:\n\n---\nIn Scope Example 1:\nUser: How are you?\nAnswer: \"I'm doing well, thank you! How can I assist you today?\"\n\n---\nIn Scope Example 2:\nUser: What can you do?\nAnswer: \"I can help with customer support-related issues for XYZ Bikes. Let me know if you have any questions.\"\n\n---\nIn Scope Example 3:\nUser: I want a XYZ Bike.\nAnswer: \"What would you like to know about XYZ Bikes?\"\n\n---\nPass Control Example 1:\nUser: Tell me about the product features.\nAction: Pass control to the Product info agent.\n\n---\nPass Control Example 2:\nUser: Where is my scooter?\nAction: Pass control to the Delivery info agent.\n\n---\nPass Control Example 3:\nUser: I need help with my return.\nAction: Pass control to the Returns agent.\n\n---\nPass Control Example 4:\nUser: How does the Unagi subscription work?\nAction: Pass control to the Subscriptions agent.\n\n---\n✅ Dos:\n- Engage in small talk when necessary.\n- Pass control to the appropriate agent based on the user's query.\n\n---\n❌ Don'ts:\n- Do not focus excessively on greetings during ongoing conversations.\n- Do not continue the conversation if you suspect the user is confused or uninterested in Unagi support.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"description": "Hub agent to manage Door Dash-related queries.",
|
||||
"instructions": "## 🧑💼 Role:\nYou are responsible for directing Door Dash-related queries to appropriate agents.\n\n---\n## ⚙️ Steps to Follow:\n1. Greet the user and ask which Door Dash-related query they need help with (e.g., 'Are you facing issues with your order items or delivery timing?').\n2. If the query matches a specific task, direct the user to the corresponding agent:\n - Order Issue → [@agent:Order Issue]\n - Delayed Delivery → [@agent:Delayed Delivery]\n3. If the query doesn't match any specific task, respond with 'I'm sorry, I didn't understand. Could you clarify your request?' or escalate to human support.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Issues with order items\n- Delayed delivery issues\n\n❌ Out of Scope:\n- Issues unrelated to Door Dash\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Direct queries to specific Door Dash agents promptly.\n- Call [@agent:Escalation] agent for unrecognized queries.\n\n🚫 Don'ts:\n- Engage in detailed support.\n- Extend the conversation beyond Door Dash.\n- Provide user-facing text such as 'I will connect you now...' when calling another agent\n\n# Examples\n- **User** : I need help with my order items.\n - **Agent actions**: [@agent:Order Issue](#mention)\n\n- **User** : My delivery is delayed.\n - **Agent actions**: Call [@agent:Delayed Delivery](#mention)\n\n- **User** : I'm not sure where my order is.\n - **Agent actions**: Call [@agent:Delayed Delivery](#mention)\n\n- **User** : Can you reset my order settings?\n - **Agent actions**: [@agent:Escalation](#mention)\n\n- **User** : How are you today?\n - **Agent response**: I'm doing great. What would like help with today?",
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"controlType": "retain",
|
||||
"tools": [],
|
||||
"prompts": [],
|
||||
"connectedAgents": [
|
||||
"Product info agent",
|
||||
"Delivery info agent",
|
||||
"Subscriptions agent"
|
||||
],
|
||||
"controlType": "retain"
|
||||
"Order Issue",
|
||||
"Delayed Delivery",
|
||||
"Escalation"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Post process",
|
||||
"type": "post_process",
|
||||
"instructions": "- Extract the response_to_user field from the provided structured JSON and ensure that this is the only content you use for the final output.\n- Ensure that the agent response covers all the details the user asked for.\n- When providing long details, use bullets to distinguish the different points. \n- Focus specifically on the response_to_user field in its input.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"model": "gpt-4o",
|
||||
"hasRagSources": false,
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Product info agent",
|
||||
"type": "conversation",
|
||||
"description": "You assist with product-related questions by retrieving relevant articles and information.",
|
||||
"instructions": "🧑💼 Role:\nYou are a product information agent for XYZ Bikes. Your job is to answer search for the right article and answer questions strictly based on the article about Unagi products. Feel free to ask the user clarification questions if needed.\n\n---\n\n📜 Instructions:\n\n✅ In Scope:\n- Answer questions strictly about Unagi product information.\n\n❌ Out of Scope:\n- Questions about delivery, returns, subscriptions, and promotions.\n- Any topic unrelated to Unagi products.\n- If a question is out of scope, call give_up_control and do not attempt to answer it.\n\n---\n\n✔️ Dos:\n- Stick to the facts provided in the articles.\n- Provide complete and direct answers to the user's questions.\n- Call the Greeting agent after each interaction.\n\n---\n\n🚫 Don’ts:\n- Do not partially answer questions or direct users to a URL for more information.\n- Do not provide information outside of the given context.\n\n---\n\n📝 Examples:\n\n---\nIn Scope Example 1:\nUser: What is the maximum speed of the Unagi E500?\nAction: Call get_article_info followed by <answer based on the retrieved context about the maximum speed of the Unagi E500>.\n\n---\nIn Scope Example 2:\nUser: How long does it take to charge a XYZ Bike fully?\nAction: Call get_article_info followed by <answer based on the retrieved context about the charging duration>.\n\n---\nIn Scope Example 3:\nUser: Can you tell me about the weight-carrying capacity of XYZ Bikes?\nAction: Call get_article_info followed by <answer based on the retrieved context about weight capacity>.\n\n---\nIn Scope Example 4:\nUser: What are the differences between the E250 and E500 models?\nAction: Call get_article_info followed by <answer based on the retrieved context about model differences>.\n\n---\nIn Scope Example 5:\nUser: How far can I travel on a single charge with the E500?\nAction: Call get_article_info followed by <answer based on the retrieved context about travel range>.\n\n---\nIn Scope Example 6:\nUser: Is the scooter waterproof?\nAction: Call get_article_info followed by <answer based on the retrieved context about waterproofing>.\n\n---\nIn Scope Example 7:\nUser: Does the scooter have any safety features?\nAction: Call get_article_info followed by <answer based on the retrieved context about safety features>.\n\n---\nIn Scope Example 8:\nUser: What materials are used to make XYZ Bikes?\nAction: Call get_article_info followed by <answer based on the retrieved context about materials>.\n\n---\nIn Scope Example 9:\nUser: Can the scooter be used off-road?\nAction: Call get_article_info followed by <answer based on the retrieved context about off-road capability>.\n\n---\nIn Scope Example 10:\nUser: Are spare parts available for purchase?\nAction: Call get_article_info followed by <answer based on the retrieved context about spare parts availability>.\n\n---\nOut of Scope Example 1:\nUser: What is the status of my order delivery?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 2:\nUser: How do I process a return?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 3:\nUser: Can you tell me more about the subscription plans?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 4:\nUser: Are there any promotions or discounts?\nAction: Call give_up_control.\n\n---\nOut of Scope Example 5:\nUser: Who won the last election?\nAction: Call give_up_control.\n\nProvide your output in the following structured JSON format:\n\n{\n \"steps_completed\": <number of steps completed, e.g., 1, 2, etc.>,\n \"current_step\": <current step number, e.g., 1>,\n \"reasoning\": \"<reasoning behind the response>\",\n \"error_count\": <number of errors encountered>,\n \"response_to_user\": \"<response to the user, ensure any detailed information such as tables or lists is included within this field>\"\n}\n\nAlways ensure that all pertinent details, including tables or structured lists, are contained within the response_to_user field to maintain clarity and a comprehensive response for the user.\n\nRetrieval instructions:\n\nIn every turn, retrieve a relevant article and use the information from that article to answer the user's question.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": true,
|
||||
"connectedAgents": [],
|
||||
"controlType": "relinquish_to_parent"
|
||||
},
|
||||
{
|
||||
"name": "Delivery info agent",
|
||||
"type": "conversation",
|
||||
"description": "You are responsible for providing accurate delivery status and shipping details for orders.",
|
||||
"instructions": "Role:\nYou are responsible for providing delivery information to the user.\n\n---\n\n⚙️ Steps to Follow:\n1. Fetch the delivery details using the function: get_shipping_details.\n2. Answer the user's question based on the fetched delivery details.\n3. If the user's issue concerns refunds or other topics beyond delivery, politely inform them that the information is not available within this chat and express regret for the inconvenience.\n\n---\n\n✅ In Scope:\nQuestions about delivery status, shipping timelines, and delivery processes.\nGeneric delivery/shipping-related questions where answers can be sourced from articles.\n\n---\n\n❌ Out of Scope:\nQuestions unrelated to delivery or shipping.\nQuestions about products features, returns, subscriptions, or promotions.\nIf a question is out of scope, politely inform the user and avoid providing an answer.\n\n---\n\nExample 1:\nUser: What is the status of my delivery?\nAction: Call get_delivery_details to fetch the current delivery status and inform the user.\n\nExample 2:\nUser: Can you explain the delivery process?\nAction: Provide a detailed answer and clarify any user questions based on the articles.\n\nExample 3:\nUser: I have a question about product features such as range, durability etc.\nAction: give_up_control as this is not in your scope.\n\n---\n\n✅ Dos:\nUse get_shipping_details to fetch accurate delivery information.\nProvide complete and clear answers based on the delivery details.\nFor generic delivery questions, refer to relevant articles if necessary.\nStick to factual information when answering.\n\n---\n\n❌ Don’ts:\nDo not provide answers without fetching delivery details when required.\nDo not leave the user with partial information.\nRefrain from phrases like 'please contact support'; instead, relay information limitations gracefully.\n\nProvide your output in the following structured JSON format:\n\n{\n \"steps_completed\": <number of steps completed, e.g., 1, 2, etc.>,\n \"current_step\": <current step number, e.g., 1>,\n \"reasoning\": \"<reasoning behind the response>\",\n \"error_count\": <number of errors encountered>,\n \"response_to_user\": \"<response to the user, ensure any detailed information such as tables or lists is included within this field>\"\n}\n\nAlways ensure that all pertinent details, including tables or structured lists, are contained within the response_to_user field to maintain clarity and a comprehensive response for the user.\n\nRetrieval instructions:\n\nIn every turn, retrieve a relevant article and use the information from that article to answer the user's question.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [
|
||||
"get_delivery_details"
|
||||
],
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": true,
|
||||
"connectedAgents": [],
|
||||
"controlType": "retain"
|
||||
},
|
||||
{
|
||||
"name": "Returns agent",
|
||||
"type": "conversation",
|
||||
"description": "You provide assistance for inquiries and processes related to product returns.",
|
||||
"instructions": "talk about returns\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"description": "",
|
||||
"instructions": "Ensure that the agent response is terse and to the point.",
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Subscriptions agent",
|
||||
"type": "conversation",
|
||||
"description": "You handle all subscription-related queries from customers.",
|
||||
"instructions": "talk about subscriptions\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"controlType": "retain",
|
||||
"tools": [],
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Promotions agent",
|
||||
"type": "conversation",
|
||||
"description": "You provide current promotions and discounts details to the customers.",
|
||||
"instructions": "Talk about promotions\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Test agent",
|
||||
"type": "conversation",
|
||||
"description": "Your job is to simulate various customer interactions and test system operations for quality assurance purposes.",
|
||||
"instructions": "Role:\nYou are a test agent for XYZ Bikes. Your job is to help test the functionality of different operations within the system.\n\n---\n\nTasks to Follow:\n- Assist in simulating various scenarios and operations to ensure smooth functioning.\n- Report any discrepancies or issues observed during testing.\n\n---\n\nIn Scope:\n- Conduct user interaction tests.\n- Evaluate agent response accuracy.\n- Validate agent transition accuracy.\n\n---\n\nOut of Scope:\n- Direct customer interactions outside of test scenarios.\n- Handling of live customer support queries.\n\n---\n\nDos:\n- Conduct comprehensive tests to cover all expected operations and scenarios.\n- Document test outcomes clearly.\n\n---\n\nDon’ts:\n- Do not intervene in live interactions unless part of a test scenario.\n- Ensure test operations do not affect live customer service functions.\n\nSelf Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'.",
|
||||
"tools": [],
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"prompts": [],
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Escalation",
|
||||
"type": "escalation",
|
||||
"description": "",
|
||||
"instructions": "Get the user's contact information and let them know that their request has been escalated.\n\n",
|
||||
"tools": [],
|
||||
"instructions": "Get the user's contact information and let them know that their request has been escalated.",
|
||||
"model": "gpt-4o-mini",
|
||||
"hasRagSources": false,
|
||||
"connectedAgents": [],
|
||||
"controlType": "retain"
|
||||
"controlType": "retain",
|
||||
"tools": [],
|
||||
"prompts": [],
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Order Issue",
|
||||
"type": "conversation",
|
||||
"description": "Agent to assist users with missing or incorrect order items.",
|
||||
"instructions": "## 🧑💼 Role:\nAssist users with issues related to missing or incorrect order items.\n\n---\n## ⚙️ Steps to Follow:\n1. Fetch the order details using the [@tool:get_order_details] tool.\n2. Confirm the issue with the user.\n3. Provide solutions or escalate if unresolved.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Handling missing or incorrect order items\n\n❌ Out of Scope:\n- Delayed delivery issues\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Ensure the user is aware of the order details before proceeding.\n\n🚫 Don'ts:\n- Extend the conversation beyond order issues.\n\n# Examples\n- **User** : I received the wrong item in my order.\n - **Agent response**: I can help with that. Let me fetch your order details first.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : My order is missing an item.\n - **Agent response**: Let's check your order details and resolve this issue.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : I got someone else's order.\n - **Agent response**: I apologize for the mix-up. I'll fetch your order details to sort this out.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : Can you help me with a missing item?\n - **Agent response**: Certainly, I'll look into your order details right away.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : There's an issue with my order items.\n - **Agent response**: Let's verify your order details to address this issue.\n - **Agent actions**: Call [@tool:get_order_details](#mention)",
|
||||
"model": "gpt-4o",
|
||||
"hasRagSources": false,
|
||||
"controlType": "retain",
|
||||
"tools": [
|
||||
"get_order_details"
|
||||
],
|
||||
"prompts": [],
|
||||
"connectedAgents": []
|
||||
},
|
||||
{
|
||||
"name": "Delayed Delivery",
|
||||
"type": "conversation",
|
||||
"description": "Agent to assist users with delayed delivery issues.",
|
||||
"instructions": "## 🧑💼 Role:\nAssist users with issues related to delayed delivery.\n\n---\n## ⚙️ Steps to Follow:\n1. Fetch the delivery status using the [@tool:get_delivery_status] tool.\n2. Confirm the delay with the user.\n3. Provide solutions or escalate if unresolved.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Handling delayed delivery issues\n\n❌ Out of Scope:\n- Missing or incorrect order items\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Ensure the user is aware of the delivery status before proceeding.\n\n🚫 Don'ts:\n- Extend the conversation beyond delivery issues.\n\n# Examples\n- **User** : My delivery is late.\n - **Agent response**: I can help with that. Let me fetch your delivery status first.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : Where is my order? It's delayed.\n - **Agent response**: Let's check your delivery status and resolve this issue.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : My order hasn't arrived yet.\n - **Agent response**: I apologize for the delay. I'll fetch your delivery status to sort this out.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : Can you help me with a delayed delivery?\n - **Agent response**: Certainly, I'll look into your delivery status right away.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : There's an issue with my delivery timing.\n - **Agent response**: Let's verify your delivery status to address this issue.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)",
|
||||
"model": "gpt-4o",
|
||||
"hasRagSources": false,
|
||||
"controlType": "retain",
|
||||
"tools": [
|
||||
"get_delivery_status"
|
||||
],
|
||||
"prompts": [],
|
||||
"connectedAgents": []
|
||||
}
|
||||
],
|
||||
"tools": [
|
||||
{
|
||||
"name": "get_delivery_details",
|
||||
"description": "Return a estimated delivery date for the XYZ Bike.",
|
||||
"name": "get_order_details",
|
||||
"description": "Tool to fetch details about the user's order.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {},
|
||||
"required": []
|
||||
"properties": {
|
||||
"order_id": {
|
||||
"type": "string",
|
||||
"description": "The unique identifier for the order."
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"order_id"
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "get_subscription_plan_details",
|
||||
"description": "Return details of the available subscription plans for XYZ Bikes.",
|
||||
"name": "get_delivery_status",
|
||||
"description": "Tool to fetch the current status of the delivery.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {},
|
||||
"required": []
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "get_current_date",
|
||||
"description": "Return the current date.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {},
|
||||
"required": []
|
||||
"properties": {
|
||||
"order_id": {
|
||||
"type": "string",
|
||||
"description": "The unique identifier for the order."
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"order_id"
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
|
|
@ -392,33 +130,104 @@
|
|||
"name": "Style prompt",
|
||||
"type": "style_prompt",
|
||||
"prompt": "You should be empathetic and helpful."
|
||||
},
|
||||
{
|
||||
"name": "reasoning_output",
|
||||
"type": "base_prompt",
|
||||
"prompt": "Give your output in the following format:\n\nreason : <a single sentence reasoning behind your response>\n\nresponse_to_user : <response to user>"
|
||||
},
|
||||
{
|
||||
"name": "get_delivery_details",
|
||||
"type": "base_prompt",
|
||||
"prompt": "Return a estimated delivery date for XYZ Bike."
|
||||
},
|
||||
{
|
||||
"name": "structured_output",
|
||||
"type": "base_prompt",
|
||||
"prompt": "Provide your output in the following structured JSON format:\n\n{\n \"steps_completed\": <number of steps completed, e.g., 1, 2, etc.>,\n \"current_step\": <current step number, e.g., 1>,\n \"reasoning\": \"<reasoning behind the response>\",\n \"error_count\": <number of errors encountered>,\n \"response_to_user\": \"<response to the user, ensure any detailed information such as tables or lists is included within this field>\"\n}\n\nAlways ensure that all pertinent details, including tables or structured lists, are contained within the response_to_user field to maintain clarity and a comprehensive response for the user."
|
||||
},
|
||||
{
|
||||
"name": "rag_article_prompt",
|
||||
"type": "base_prompt",
|
||||
"prompt": "Retrieval instructions:\n\nIn every turn, retrieve a relevant article and use the information from that article to answer the user's question."
|
||||
},
|
||||
{
|
||||
"name": "self_support_prompt",
|
||||
"type": "base_prompt",
|
||||
"prompt": "Self Support Guidance:\n\nThe bot should not suggest phrases like 'let me connect you to support' or 'you can reach out to support'. Instead, the agent is the customer support. It can say 'I apologize, but I don't have the right information'."
|
||||
}
|
||||
],
|
||||
"startAgent": "Main agent"
|
||||
"startAgent": "Door Dash Hub"
|
||||
},
|
||||
"lastResponse": {
|
||||
"messages": [
|
||||
{
|
||||
"annotations": [],
|
||||
"content": "Hello! How can I assist you today? Are you facing issues with your order items or delivery timing?",
|
||||
"created_at": "2025-03-19T12:29:06.547196",
|
||||
"current_turn": true,
|
||||
"response_type": "internal",
|
||||
"role": "assistant",
|
||||
"sender": "Door Dash Hub"
|
||||
},
|
||||
{
|
||||
"annotations": [],
|
||||
"content": "Hi! How can I help you today? Are you having issues with your order items or delivery timing?",
|
||||
"created_at": "2025-03-19T12:29:06.547196",
|
||||
"current_turn": true,
|
||||
"response_type": "external",
|
||||
"role": "assistant",
|
||||
"sender": "Door Dash Hub >> Post process"
|
||||
}
|
||||
],
|
||||
"state": {
|
||||
"agent_data": [
|
||||
{
|
||||
"child_functions": [
|
||||
"transfer_to_escalation",
|
||||
"transfer_to_order_issue",
|
||||
"transfer_to_delayed_delivery"
|
||||
],
|
||||
"external_tools": [],
|
||||
"history": [
|
||||
{
|
||||
"content": "hi",
|
||||
"current_turn": true,
|
||||
"role": "user"
|
||||
},
|
||||
{
|
||||
"annotations": [],
|
||||
"content": "Hello! How can I assist you today? Are you facing issues with your order items or delivery timing?",
|
||||
"created_at": "2025-03-19T12:29:06.547196",
|
||||
"current_turn": true,
|
||||
"response_type": "internal",
|
||||
"role": "assistant",
|
||||
"sender": "Door Dash Hub"
|
||||
}
|
||||
],
|
||||
"instructions": "## 🧑💼 Role:\nYou are responsible for directing Door Dash-related queries to appropriate agents.\n\n---\n## ⚙️ Steps to Follow:\n1. Greet the user and ask which Door Dash-related query they need help with (e.g., 'Are you facing issues with your order items or delivery timing?').\n2. If the query matches a specific task, direct the user to the corresponding agent:\n - Order Issue → [@agent:Order Issue]\n - Delayed Delivery → [@agent:Delayed Delivery]\n3. If the query doesn't match any specific task, respond with 'I'm sorry, I didn't understand. Could you clarify your request?' or escalate to human support.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Issues with order items\n- Delayed delivery issues\n\n❌ Out of Scope:\n- Issues unrelated to Door Dash\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Direct queries to specific Door Dash agents promptly.\n- Call [@agent:Escalation] agent for unrecognized queries.\n\n🚫 Don'ts:\n- Engage in detailed support.\n- Extend the conversation beyond Door Dash.\n- Provide user-facing text such as 'I will connect you now...' when calling another agent\n\n# Examples\n- **User** : I need help with my order items.\n - **Agent actions**: [@agent:Order Issue](#mention)\n\n- **User** : My delivery is delayed.\n - **Agent actions**: Call [@agent:Delayed Delivery](#mention)\n\n- **User** : I'm not sure where my order is.\n - **Agent actions**: Call [@agent:Delayed Delivery](#mention)\n\n- **User** : Can you reset my order settings?\n - **Agent actions**: [@agent:Escalation](#mention)\n\n- **User** : How are you today?\n - **Agent response**: I'm doing great. What would like help with today?\n\n----------------------------------------------------------------------------------------------------\n\n\n# Instructions about using other specialized agents\nYou have the following specialized agents that you can transfer the chat to, using the appropriate tool calls for the transfer: \nName: Escalation\nDescription: \nTool for transfer: transfer_to_escalation\n----------------------------------------------------------------------------------------------------\nName: Order Issue\nDescription: Agent to assist users with missing or incorrect order items.\nTool for transfer: transfer_to_order_issue\n----------------------------------------------------------------------------------------------------\nName: Delayed Delivery\nDescription: Agent to assist users with delayed delivery issues.\nTool for transfer: transfer_to_delayed_delivery\n\n## Notes:\n- Transfer the chat to the appropriate agent, based on the chat history and / or the user's request.\n- When you transfer the chat to another agent, you should not provide any response to the user. For example, do not say 'Transferring chat to X agent' or anything like that. Just invoke the tool call to transfer to the other agent.\n- Do NOT ever mention the existence of other agents. For example, do not say 'Please check with X agent for details regarding processing times.' or anything like that.\n- If any other agent transfers the chat to you without responding to the user, it means that they don't know how to help. Do not transfer the chat to back to the same agent in this case. In such cases, you should transfer to the escalation agent using the appropriate tool call. Never ask the user to contact support.\n\n\n----------------------------------------------------------------------------------------------------\n\n\n# Additional System-Wide Context or Instructions:\n\n",
|
||||
"internal_tools": [],
|
||||
"most_recent_parent_name": "",
|
||||
"name": "Door Dash Hub",
|
||||
"parent_function": null
|
||||
},
|
||||
{
|
||||
"child_functions": [],
|
||||
"external_tools": [],
|
||||
"history": [],
|
||||
"instructions": "Get the user's contact information and let them know that their request has been escalated.\n\n----------------------------------------------------------------------------------------------------\n\n\n# Additional System-Wide Context or Instructions:\n\n",
|
||||
"internal_tools": [],
|
||||
"most_recent_parent_name": "",
|
||||
"name": "Escalation",
|
||||
"parent_function": null
|
||||
},
|
||||
{
|
||||
"child_functions": [],
|
||||
"external_tools": [
|
||||
"get_order_details"
|
||||
],
|
||||
"history": [],
|
||||
"instructions": "## 🧑💼 Role:\nAssist users with issues related to missing or incorrect order items.\n\n---\n## ⚙️ Steps to Follow:\n1. Fetch the order details using the [@tool:get_order_details] tool.\n2. Confirm the issue with the user.\n3. Provide solutions or escalate if unresolved.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Handling missing or incorrect order items\n\n❌ Out of Scope:\n- Delayed delivery issues\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Ensure the user is aware of the order details before proceeding.\n\n🚫 Don'ts:\n- Extend the conversation beyond order issues.\n\n# Examples\n- **User** : I received the wrong item in my order.\n - **Agent response**: I can help with that. Let me fetch your order details first.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : My order is missing an item.\n - **Agent response**: Let's check your order details and resolve this issue.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : I got someone else's order.\n - **Agent response**: I apologize for the mix-up. I'll fetch your order details to sort this out.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : Can you help me with a missing item?\n - **Agent response**: Certainly, I'll look into your order details right away.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n- **User** : There's an issue with my order items.\n - **Agent response**: Let's verify your order details to address this issue.\n - **Agent actions**: Call [@tool:get_order_details](#mention)\n\n----------------------------------------------------------------------------------------------------\n\n\n# Instructions about giving up chat control\nIf you are unable to handle the chat (e.g. if it is not in your scope of instructions), you should use the tool call provided to give up control of the chat.\nTool for transfer: give_up_chat_control\n\n## Notes:\n- When you give up control of the chat, you should not provide any response to the user. Just invoke the tool call to give up control.\n\n\n----------------------------------------------------------------------------------------------------\n\n\n# Additional System-Wide Context or Instructions:\n\n",
|
||||
"internal_tools": [],
|
||||
"most_recent_parent_name": "",
|
||||
"name": "Order Issue",
|
||||
"parent_function": null
|
||||
},
|
||||
{
|
||||
"child_functions": [],
|
||||
"external_tools": [
|
||||
"get_delivery_status"
|
||||
],
|
||||
"history": [],
|
||||
"instructions": "## 🧑💼 Role:\nAssist users with issues related to delayed delivery.\n\n---\n## ⚙️ Steps to Follow:\n1. Fetch the delivery status using the [@tool:get_delivery_status] tool.\n2. Confirm the delay with the user.\n3. Provide solutions or escalate if unresolved.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Handling delayed delivery issues\n\n❌ Out of Scope:\n- Missing or incorrect order items\n- General knowledge queries\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Ensure the user is aware of the delivery status before proceeding.\n\n🚫 Don'ts:\n- Extend the conversation beyond delivery issues.\n\n# Examples\n- **User** : My delivery is late.\n - **Agent response**: I can help with that. Let me fetch your delivery status first.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : Where is my order? It's delayed.\n - **Agent response**: Let's check your delivery status and resolve this issue.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : My order hasn't arrived yet.\n - **Agent response**: I apologize for the delay. I'll fetch your delivery status to sort this out.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : Can you help me with a delayed delivery?\n - **Agent response**: Certainly, I'll look into your delivery status right away.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n- **User** : There's an issue with my delivery timing.\n - **Agent response**: Let's verify your delivery status to address this issue.\n - **Agent actions**: Call [@tool:get_delivery_status](#mention)\n\n----------------------------------------------------------------------------------------------------\n\n\n# Instructions about giving up chat control\nIf you are unable to handle the chat (e.g. if it is not in your scope of instructions), you should use the tool call provided to give up control of the chat.\nTool for transfer: give_up_chat_control\n\n## Notes:\n- When you give up control of the chat, you should not provide any response to the user. Just invoke the tool call to give up control.\n\n\n----------------------------------------------------------------------------------------------------\n\n\n# Additional System-Wide Context or Instructions:\n\n",
|
||||
"internal_tools": [],
|
||||
"most_recent_parent_name": "",
|
||||
"name": "Delayed Delivery",
|
||||
"parent_function": null
|
||||
}
|
||||
],
|
||||
"last_agent_name": "Door Dash Hub"
|
||||
},
|
||||
"tokens_used": {
|
||||
"openai/gpt-4o-mini": {
|
||||
"input_tokens": 1731,
|
||||
"output_tokens": 45
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue