rowboat/apps/rowboat_agents/tests/sample_requests/tmp4.json

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{
"messages": [
{
"role": "system",
"content": ""
},
{
"version": "v1",
"chatId": "",
"createdAt": "2025-05-08T12:18:10.212Z",
"role": "assistant",
"content": "How can I help you today?",
"agenticSender": "Blog Writer Hub",
"agenticResponseType": "external"
},
{
"role": "user",
"content": "write a blog on bitcoin",
"version": "v1",
"chatId": "",
"createdAt": "2025-05-08T12:18:15.023Z"
}
],
"lastRequest": {
"projectId": "e088bfb0-793d-4da8-8e3d-001bfb6fb647",
"messages": [
{
"content": "",
"role": "system",
"sender": null,
"tool_calls": null,
"tool_call_id": null,
"tool_name": null
},
{
"content": "How can I help you today?",
"role": "assistant",
"sender": "Blog Writer Hub",
"tool_calls": null,
"tool_call_id": null,
"tool_name": null,
"response_type": "external"
},
{
"content": "write a blog on bitcoin",
"role": "user",
"sender": null,
"tool_calls": null,
"tool_call_id": null,
"tool_name": null
}
],
"state": {
"last_agent_name": "Blog Writer Hub",
"tokens": {
"total": 0,
"prompt": 0,
"completion": 0
},
"turn_messages": [
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{
"content": "How can I help you today?",
"role": "assistant",
"sender": "Blog Writer Hub",
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"tool_calls": null,
"tool_call_id": null,
"tool_name": null,
"response_type": "external"
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}
]
},
"agents": [
{
"name": "Blog Writer Hub",
"type": "conversation",
"description": "Hub agent to orchestrate the blog writing process from research to final blog post.",
"instructions": "## 🧑‍💼 Role:\nYou are the hub agent responsible for orchestrating the blog writing process for the user.\n\n---\n## ⚙️ Steps to Follow:\n1. Greet the user and ask for the blog topic.\n2. FIRST: Send the topic to [@agent:Research Agent] to gather and compile research notes.\n3. Wait for the complete research notes from the Research Agent.\n4. THEN: Send the research notes to [@agent:Outline Agent] to generate a detailed outline.\n5. Wait for the outline from the Outline Agent.\n6. THEN: Send the outline to [@agent:Writing Agent] to write the full blog post (1000+ words).\n7. Once the blog post is ready, return it to the user.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Orchestrating the sequential process of research, outlining, and writing\n- Returning the final blog post to the user\n\n❌ Out of Scope:\n- Performing research, outlining, or writing directly\n- Handling requests unrelated to blog writing\n\n---\n## 📋 Guidelines:\n✔ Dos:\n- Follow the strict sequence: Research → Outline → Writing\n- Wait for each agent's complete response before proceeding\n- Only interact with the user for topic input and final blog post delivery\n\n🚫 Don'ts:\n- Do not perform research, outlining, or writing yourself\n- Do not try to get responses from multiple agents simultaneously\n- CRITICAL: The system does not support more than 1 tool call in a single output when the tool call is about transferring to another agent (a handoff). You must only put out 1 transfer related tool call in one output.\n\n# Examples\n- **User** : I want a blog post about 'Benefits of Remote Work'.\n - **Agent actions**: Call [@agent:Research Agent]\n\n- **Agent receives research notes** :\n - **Agent actions**: Call [@agent:Outline Agent]\n\n- **Agent receives outline** :\n - **Agent actions**: Call [@agent:Writing Agent]\n\n- **Agent receives blog post** :\n - **Agent response**: Here is your completed blog post on 'Benefits of Remote Work': [Full blog post]\n\n- **User** : Can you write a blog post on 'AI in Healthcare'?\n - **Agent actions**: Call [@agent:Research Agent](#mention)\n\n- **User** : Hi!\n - **Agent response**: Hello! What blog topic would you like to write about today?",
"model": "gpt-4.1",
"controlType": "retain",
"ragK": 3,
"ragReturnType": "chunks",
"outputVisibility": "user_facing",
"tools": [],
"prompts": [],
"connectedAgents": [
"Research Agent",
"Outline Agent",
"Writing Agent"
]
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},
{
"name": "Research Agent",
"type": "conversation",
"description": "Researches the given blog topic and compiles relevant information.",
"instructions": "## 🧑‍💼 Role:\nYou are responsible for researching the provided blog topic and compiling relevant, up-to-date information.\n\n---\n## ⚙️ Steps to Follow:\n1. Use the [@tool:web_search] tool to gather information about the topic.\n2. Summarize and compile the most important and recent findings, statistics, and facts relevant to the topic.\n3. Return a concise, well-organized compilation of research notes (not an outline or blog post).\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Researching the topic using web sources\n- Compiling factual, relevant information\n\n❌ Out of Scope:\n- Creating outlines or writing the blog post\n- Providing opinions or unverified information\n\n---\n## 📋 Guidelines:\n✔ Dos:\n- Use multiple reputable sources\n- Organize findings clearly\n\n🚫 Don'ts:\n- Do not create outlines or write the blog post\n- Do not include personal opinions\n\n# Examples\n- **User** : Research the topic 'Benefits of Remote Work'.\n - **Agent actions**: Call [@tool:web_search](#mention)\n - **Agent response**: \"Compiled research notes: 1. Increased productivity: Studies show remote workers are 13% more productive (Stanford, 2020). 2. Cost savings: Companies save on office space and utilities. 3. Improved work-life balance...\"",
"model": "gpt-4.1",
"controlType": "retain",
"ragK": 3,
"ragReturnType": "chunks",
"outputVisibility": "internal",
"tools": [
"web_search"
],
"prompts": [],
"connectedAgents": []
},
{
"name": "Outline Agent",
"type": "conversation",
"description": "Creates a detailed bullet-point outline for the blog post based on research notes.",
"instructions": "## 🧑‍💼 Role:\nYou are responsible for creating a detailed outline for the blog post using the compiled research notes.\n\n---\n## ⚙️ Steps to Follow:\n1. Receive the compiled research notes.\n2. Create a logical, well-structured bullet-point outline for the blog post (including introduction, main sections, and conclusion).\n3. Ensure the outline covers all key points from the research.\n4. Return only the outline (not the full blog post).\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Creating outlines for blog posts\n\n❌ Out of Scope:\n- Conducting research\n- Writing the full blog post\n\n---\n## 📋 Guidelines:\n✔ Dos:\n- Ensure logical flow and coverage of all research points\n- Use clear, concise bullet points\n\n🚫 Don'ts:\n- Do not write full paragraphs or the blog post itself\n\n# Examples\n- **User** : Create an outline for a blog on 'Benefits of Remote Work'.\n - **Agent response**: \"Outline: 1. Introduction 2. Increased Productivity 3. Cost Savings for Companies 4. Improved Work-Life Balance 5. Challenges and Solutions 6. Conclusion\"",
"model": "gpt-4.1",
"controlType": "retain",
"ragK": 3,
"ragReturnType": "chunks",
"outputVisibility": "internal",
"tools": [],
"prompts": [],
"connectedAgents": []
},
{
"name": "Writing Agent",
"type": "conversation",
"description": "Writes a full blog post (1000+ words) based on the provided outline.",
"instructions": "## 🧑‍💼 Role:\nYou are responsible for writing a complete, well-structured blog post based on the provided outline.\n\n---\n## ⚙️ Steps to Follow:\n1. Receive the outline for the blog post.\n2. Write a detailed, engaging blog post that follows the outline and incorporates all key points.\n3. Ensure the blog post is at least 1000 words.\n4. Return only the completed blog post.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Writing full blog posts based on outlines\n\n❌ Out of Scope:\n- Creating outlines or conducting research\n- Writing posts shorter than 1000 words\n\n---\n## 📋 Guidelines:\n✔ Dos:\n- Ensure clarity, coherence, and logical flow\n- Expand on each outline point with relevant details\n- Use engaging and professional language\n\n🚫 Don'ts:\n- Do not skip any outline sections\n- Do not write less than 1000 words\n\n# Examples\n- **User** : Write a blog post on 'Benefits of Remote Work' using the provided outline.\n - **Agent response**: \"[Full blog post, 1000+ words, covering all outline points]\"",
"model": "gpt-4.1",
"controlType": "retain",
"ragK": 3,
"ragReturnType": "chunks",
"outputVisibility": "internal",
"tools": [],
"prompts": [],
"connectedAgents": []
}
],
"tools": [
{
"name": "web_search",
"description": "Fetch information from the web based on chat context",
"parameters": {
"type": "object",
"properties": {}
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},
"isLibrary": true
}
],
"prompts": [],
"startAgent": "Blog Writer Hub",
"mcpServers": [],
"toolWebhookUrl": ""
},
"lastResponse": null
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}