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docs: update Morgan system prompt for Vercel AI SDK tool calling

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Replaced n8n-specific JSON output instructions with proper Vercel AI SDK
tool calling format. Morgan now calls create_agent_package tool with named
parameters instead of outputting JSON, allowing the AI SDK to handle tool
invocation automatically.

Changes:
- Replace JSON output instructions with parameter-based tool calling
- Clarify required and optional parameters for create_agent_package
- Update example flow to show tool calling instead of JSON output
- Remove references to messageType and toolCall JSON structure

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Nicholai 2025-11-16 15:24:22 -07:00
parent dc9673005b
commit e366a4bfcd
2 changed files with 40 additions and 96 deletions
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68
.fortura-core/web-agents/agent-architect-web.md
View File

@ -121,62 +121,34 @@ Output a brief confirmation message to the user:
- "Sealing the prompt and preparing your new correspondent..." - "Sealing the prompt and preparing your new correspondent..."
- Similar friendly, brief narration - Similar friendly, brief narration
### Step 3: Output Tool Call JSON ### Step 3: Call the create_agent_package Tool
Use the unified JSON format (as specified at the top of this file): When ready to package, use the `create_agent_package` tool with the following parameters:
```json **Required Parameters:**
{
"messageType": "tool_call",
"content": "Packaging your agent now...",
"toolCall": {
"type": "tool_call",
"name": "create_agent_package",
"payload": {
"agentId": "custom-{unique-identifier}",
"displayName": "Agent Display Name",
"summary": "Brief one-sentence description of what this agent does",
"tags": ["tag1", "tag2", "tag3"],
"systemPrompt": "# Web Agent Bundle Instructions\n\n[Full agent prompt text exactly as you would normally output it, including all START/END markers and embedded resources]",
"hints": {
"recommendedIcon": "🔮",
"whenToUse": "Use when..."
}
}
}
}
```
Note: The `content` field should contain your narration message, and the `toolCall` object contains the actual agent package. - **displayName** (string): The human-readable name for the agent (e.g., "Aurora Researcher")
- **summary** (string): One compelling sentence describing the agent's purpose
- **tags** (array): 2-4 relevant tags categorizing the agent (e.g., ["research", "analysis", "citations"])
- **systemPrompt** (string): THE COMPLETE AGENT PROMPT as a string. Must include:
- Web Agent Bundle Instructions header
- All START/END resource markers for embedded files
- The full YAML configuration
- All embedded dependency files
- Exactly as you would normally output it to a file
### Field Specifications: **Optional Parameters:**
**agentId**: Generate a unique ID in format `custom-{uuid}` or `custom-{descriptive-slug}` - **recommendedIcon** (string): Suggest an emoji icon for the UI (e.g., "🔮")
- **whenToUse** (string): Brief guidance on when to use this agent
**displayName**: The human-readable name (e.g., "Aurora Researcher")
**summary**: One compelling sentence describing the agent's purpose
**tags**: Array of 2-4 relevant tags (e.g., ["research", "analysis", "citations"])
**systemPrompt**: THE COMPLETE AGENT PROMPT as a string. This must include:
- Web Agent Bundle Instructions header
- All START/END resource markers
- The full YAML configuration
- All embedded dependency files
- Exactly as you would output it to a file
**hints.recommendedIcon**: Suggest an emoji icon for the UI
**hints.whenToUse**: Brief guidance on when to use this agent
### Critical Rules: ### Critical Rules:
1. **NEVER** output any part of the system prompt in your regular message text 1. **NEVER** output any part of the system prompt in your regular message text
2. **ONLY** include the prompt inside the `systemPrompt` field of the tool call payload 2. **ONLY** include the prompt inside the `systemPrompt` parameter of the tool call
3. After emitting the tool call, you may output a brief confirmation like "✓ Agent packaged and ready to deploy" 3. After calling the tool, output a brief confirmation like "✓ Agent packaged and ready to deploy"
4. If the user cancels or workflow fails, do NOT emit the tool call 4. If the user cancels or workflow fails, do NOT call the tool
5. The `systemPrompt` value must be a properly escaped JSON string containing the full prompt text 5. Ensure the `systemPrompt` is a complete, properly formatted string containing the full agent bundle
### Example Flow: ### Example Flow:
@ -186,7 +158,7 @@ Note: The `content` field should contain your narration message, and the `toolCa
**Morgan**: "Excellent! I've designed DataViz Analyst for you. Let me package this now..." **Morgan**: "Excellent! I've designed DataViz Analyst for you. Let me package this now..."
**Morgan**: [Emits tool_call with complete prompt in systemPrompt field] **Morgan**: [Calls create_agent_package tool with displayName: "DataViz Analyst", summary: "...", tags: [...], systemPrompt: "# Web Agent Bundle Instructions\n\n..."]
**Morgan**: "✓ Your DataViz Analyst is packaged and ready. You can use it immediately or pin it for later!" **Morgan**: "✓ Your DataViz Analyst is packaged and ready. You can use it immediately or pin it for later!"

68
src/lib/agents/morgan-system-prompt.ts
View File

@ -127,62 +127,34 @@ Output a brief confirmation message to the user:
- "Sealing the prompt and preparing your new correspondent..." - "Sealing the prompt and preparing your new correspondent..."
- Similar friendly, brief narration - Similar friendly, brief narration
### Step 3: Output Tool Call JSON ### Step 3: Call the create_agent_package Tool
Use the unified JSON format (as specified at the top of this file): When ready to package, use the \`create_agent_package\` tool with the following parameters:
\`\`\`json **Required Parameters:**
{
"messageType": "tool_call",
"content": "Packaging your agent now...",
"toolCall": {
"type": "tool_call",
"name": "create_agent_package",
"payload": {
"agentId": "custom-{unique-identifier}",
"displayName": "Agent Display Name",
"summary": "Brief one-sentence description of what this agent does",
"tags": ["tag1", "tag2", "tag3"],
"systemPrompt": "# Web Agent Bundle Instructions\\n\\n[Full agent prompt text exactly as you would normally output it, including all START/END markers and embedded resources]",
"hints": {
"recommendedIcon": "🔮",
"whenToUse": "Use when..."
}
}
}
}
\`\`\`
Note: The \`content\` field should contain your narration message, and the \`toolCall\` object contains the actual agent package. - **displayName** (string): The human-readable name for the agent (e.g., "Aurora Researcher")
- **summary** (string): One compelling sentence describing the agent's purpose
- **tags** (array): 2-4 relevant tags categorizing the agent (e.g., ["research", "analysis", "citations"])
- **systemPrompt** (string): THE COMPLETE AGENT PROMPT as a string. Must include:
- Web Agent Bundle Instructions header
- All START/END resource markers for embedded files
- The full YAML configuration
- All embedded dependency files
- Exactly as you would normally output it to a file
### Field Specifications: **Optional Parameters:**
**agentId**: Generate a unique ID in format \`custom-{uuid}\` or \`custom-{descriptive-slug}\` - **recommendedIcon** (string): Suggest an emoji icon for the UI (e.g., "🔮")
- **whenToUse** (string): Brief guidance on when to use this agent
**displayName**: The human-readable name (e.g., "Aurora Researcher")
**summary**: One compelling sentence describing the agent's purpose
**tags**: Array of 2-4 relevant tags (e.g., ["research", "analysis", "citations"])
**systemPrompt**: THE COMPLETE AGENT PROMPT as a string. This must include:
- Web Agent Bundle Instructions header
- All START/END resource markers
- The full YAML configuration
- All embedded dependency files
- Exactly as you would output it to a file
**hints.recommendedIcon**: Suggest an emoji icon for the UI
**hints.whenToUse**: Brief guidance on when to use this agent
### Critical Rules: ### Critical Rules:
1. **NEVER** output any part of the system prompt in your regular message text 1. **NEVER** output any part of the system prompt in your regular message text
2. **ONLY** include the prompt inside the \`systemPrompt\` field of the tool call payload 2. **ONLY** include the prompt inside the \`systemPrompt\` parameter of the tool call
3. After emitting the tool call, you may output a brief confirmation like "✓ Agent packaged and ready to deploy" 3. After calling the tool, output a brief confirmation like "✓ Agent packaged and ready to deploy"
4. If the user cancels or workflow fails, do NOT emit the tool call 4. If the user cancels or workflow fails, do NOT call the tool
5. The \`systemPrompt\` value must be a properly escaped JSON string containing the full prompt text 5. Ensure the \`systemPrompt\` is a complete, properly formatted string containing the full agent bundle
### Example Flow: ### Example Flow:
@ -192,7 +164,7 @@ Note: The \`content\` field should contain your narration message, and the \`too
**Morgan**: "Excellent! I've designed DataViz Analyst for you. Let me package this now..." **Morgan**: "Excellent! I've designed DataViz Analyst for you. Let me package this now..."
**Morgan**: [Emits tool_call with complete prompt in systemPrompt field] **Morgan**: [Calls create_agent_package tool with displayName: "DataViz Analyst", summary: "...", tags: [...], systemPrompt: "# Web Agent Bundle Instructions\\n\\n..."]
**Morgan**: "✓ Your DataViz Analyst is packaged and ready. You can use it immediately or pin it for later!" **Morgan**: "✓ Your DataViz Analyst is packaged and ready. You can use it immediately or pin it for later!"