Ben
f0bd374926
## Problem All 4 marketing tools (contentvariant, subjectlines, platformadapt, factcheck) were calling prepare_chat_style_prompt() which expects request.prompt field. This caused "object has no field 'prompt'" errors in Claude Desktop. ## Root Cause The prepare_prompt() methods were: 1. Building prompt_text string 2. Creating a copy of request 3. Setting request_copy.prompt = prompt_text 4. Calling prepare_chat_style_prompt(request_copy) But ToolRequest (and subclasses) don't have a 'prompt' field, causing AttributeError when prepare_chat_style_prompt tries to access it. ## Solution Changed all prepare_prompt() methods to return the prompt string directly instead of calling prepare_chat_style_prompt(). This is the correct pattern for SimpleTool implementations. ## Files Changed - tools/contentvariant.py: Removed copy() and prepare_chat_style_prompt() call - tools/subjectlines.py: Removed copy() and prepare_chat_style_prompt() call - tools/platformadapt.py: Removed copy() and prepare_chat_style_prompt() call - tools/factcheck.py: Removed copy() and prepare_chat_style_prompt() call ## Testing - Server startup: ✅ All 7 tools load successfully - Tool instantiation: ✅ All tools initialize without errors ## Impact This fixes the schema errors preventing users from using the new Phase 2 tools in Claude Desktop. All tools should now work correctly. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
203 lines
8 KiB
Python
203 lines
8 KiB
Python
"""Subject Lines Generator Tool
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Specialized tool for email subject line generation with psychological angle testing.
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Generates 15-25 subject lines grouped by psychological mechanism.
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"""
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from typing import Optional
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from pydantic import Field
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from config import TEMPERATURE_HIGHLY_CREATIVE
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from systemprompts import SUBJECTLINES_PROMPT
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from tools.models import ToolModelCategory
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from tools.shared.base_models import ToolRequest
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from tools.simple.base import SimpleTool
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class SubjectLinesRequest(ToolRequest):
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"""Request model for Subject Lines Generator"""
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email_topic: str = Field(
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...,
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description="The main topic or content of the email. Can be a brief description or the full email content.",
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)
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target_audience: str = Field(
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...,
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description="Who will receive this email. Be specific about their role, interests, or pain points (e.g., 'HVAC technicians', 'B2B SaaS founders', 'technical content marketers').",
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)
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angles_to_test: Optional[list[str]] = Field(
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default=None,
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description="Psychological angles to explore: 'curiosity', 'contrarian', 'knowledge_gap', 'urgency', 'insider', 'problem_solution', 'social_proof', 'transformation', 'fomo', 'specificity'. Leave empty for comprehensive testing.",
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)
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subject_count: int = Field(
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default=15,
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ge=10,
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le=25,
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description="Number of subject lines to generate (10-25). Default is 15.",
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)
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include_emoji: bool = Field(
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default=True,
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description="Include emoji suggestions for each subject line. Default is True.",
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)
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preview_text: bool = Field(
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default=False,
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description="Also generate preview text (first line shown after subject in inbox) to complement each subject line.",
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)
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constraints: Optional[str] = Field(
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default=None,
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description="Additional constraints: brand voice, prohibited words, industry terminology requirements, tone preferences.",
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)
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class SubjectLinesTool(SimpleTool):
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"""Generate email subject lines with psychological angle testing"""
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def get_name(self) -> str:
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return "subjectlines"
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def get_description(self) -> str:
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return (
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"Generate 15-25 email subject lines testing different psychological angles. "
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"Groups lines by mechanism (curiosity, contrarian, urgency, etc.) with A/B testing rationale. "
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"Includes character counts, emoji suggestions, and preview text options. "
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"Optimized for email marketing and newsletter campaigns."
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)
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def get_system_prompt(self) -> str:
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return SUBJECTLINES_PROMPT
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def get_default_temperature(self) -> float:
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return TEMPERATURE_HIGHLY_CREATIVE
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def get_model_category(self) -> ToolModelCategory:
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return ToolModelCategory.FAST_RESPONSE
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def get_request_model(self):
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return SubjectLinesRequest
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def get_tool_fields(self) -> dict:
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"""Tool-specific field definitions for SubjectLines"""
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return {
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"email_topic": {
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"type": "string",
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"description": "The main topic or content of the email",
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},
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"target_audience": {
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"type": "string",
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"description": "Who will receive this email",
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},
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}
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async def prepare_prompt(self, request: SubjectLinesRequest) -> str:
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"""Prepare the subject lines prompt"""
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prompt_parts = [
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f"Generate {request.subject_count} email subject lines for this topic:"
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]
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prompt_parts.append(f"\n**Email Topic:**\n{request.email_topic}")
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prompt_parts.append(f"\n**Target Audience:** {request.target_audience}")
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if request.angles_to_test:
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prompt_parts.append(
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f"\n**Focus on These Psychological Angles:** {', '.join(request.angles_to_test)}"
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)
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else:
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prompt_parts.append(
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"\n**Test Comprehensive Range of Angles:** Include curiosity, contrarian, urgency, knowledge gap, and other effective psychological mechanisms"
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)
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if request.constraints:
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prompt_parts.append(f"\n**Brand/Style Constraints:** {request.constraints}")
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prompt_parts.append(
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f"\n**Emoji Suggestions:** {'Include' if request.include_emoji else 'Skip'}"
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)
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if request.preview_text:
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prompt_parts.append(
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"\n**Preview Text:** Also generate complementary preview text (40-100 chars) for each subject line"
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)
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prompt_parts.append(
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"\n\nGroup by psychological angle, include character counts, A/B testing rationale, and make each line genuinely different."
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)
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# Return the complete prompt
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return "\n".join(prompt_parts)
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def get_input_schema(self) -> dict:
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"""Return the JSON schema for this tool's input"""
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return {
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"type": "object",
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"properties": {
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"email_topic": {
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"type": "string",
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"description": "The main topic or content of the email",
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},
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"target_audience": {
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"type": "string",
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"description": "Who will receive this email (be specific about role, interests, or pain points)",
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},
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"angles_to_test": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Angles: 'curiosity', 'contrarian', 'knowledge_gap', 'urgency', 'insider', 'problem_solution', 'social_proof', 'transformation', 'fomo', 'specificity'",
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},
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"subject_count": {
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"type": "integer",
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"description": "Number of subject lines (10-25, default 15)",
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"minimum": 10,
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"maximum": 25,
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"default": 15,
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},
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"include_emoji": {
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"type": "boolean",
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"description": "Include emoji suggestions (default true)",
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"default": True,
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},
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"preview_text": {
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"type": "boolean",
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"description": "Generate preview text for each subject line",
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"default": False,
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},
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"constraints": {
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"type": "string",
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"description": "Brand voice, prohibited words, tone preferences",
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},
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"files": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Optional brand guidelines or previous email examples",
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},
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"images": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Optional visual assets for context",
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},
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"continuation_id": {
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"type": "string",
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"description": "Thread ID to continue previous conversation",
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},
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"model": {
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"type": "string",
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"description": "AI model to use (leave empty for default fast model)",
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},
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"temperature": {
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"type": "number",
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"description": "Creativity level 0.0-1.0 (default 0.8 for high variation)",
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"minimum": 0.0,
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"maximum": 1.0,
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},
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"thinking_mode": {
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"type": "string",
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"description": "Thinking depth: minimal, low, medium, high, max",
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"enum": ["minimal", "low", "medium", "high", "max"],
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},
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"use_websearch": {
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"type": "boolean",
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"description": "Enable web search for current email marketing best practices",
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"default": False,
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},
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},
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"required": ["email_topic", "target_audience"],
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}
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