Yachtsy Models
Survey Agent
Professional boat surveys with AI-powered vision analysis, condition assessment, and detailed inspection reports.
Overview
The Survey Agent is a tool-based model with vision capabilities that provides comprehensive boat condition analysis, integrating image processing, database lookups, and expert assessment for detailed survey reports.
Vision Analysis: GPT-4o vision processing for boat photos, condition assessment, and visual inspection capabilities
Key Features
- Vision Processing: Analyzes boat photos with GPT-4o vision
- Condition Assessment: Detailed hull, rigging, engine, and systems evaluation
- Real-time Streaming: See analysis appear as inspection progresses
- Web Search Integration: Cross-references data with online sources
- Professional Reports: Structured survey format with findings and recommendations
When to Use
Choose yachtsy-survey-agent when you need:
- Pre-purchase boat inspections
- Condition assessments for insurance
- Maintenance planning and prioritization
- Professional survey reports
- Visual analysis of boat photos
Survey Capabilities
Inspection Areas
- Hull & Structure
- Gelcoat condition and crazing
- Through-hull fittings
- Keel and rudder attachment
- Deck and cabin structure
- Rigging & Sails
- Standing rigging condition
- Running rigging wear
- Sail condition and age
- Winch and hardware inspection
- Engine & Mechanical
- Engine condition and maintenance
- Fuel and water systems
- Propeller and shaft
- Steering system
- Electrical & Electronics
- Wiring condition and safety
- Battery and charging systems
- Navigation electronics
- Lighting and instruments
- Interior & Comfort
- Cabin condition and wear
- Plumbing and head systems
- Ventilation and insulation
- Storage and layout
Usage Examples
Basic Survey Request
from openai import OpenAI
client = OpenAI(
base_url="https://api.yachtsy.ai/v1",
api_key="your-api-key"
)
# Comprehensive boat survey with streaming
response = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "user",
"content": "Survey this 1987 Catalina 34. Focus on hull condition, rigging, and engine. Check for common issues with this model year."
}],
stream=True
)
for chunk in response:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
Listing URL Analysis
const surveyStream = await client.chat.completions.create({
model: 'yachtsy-survey-agent',
messages: [{
role: 'user',
content: 'Survey this boat listing: https://sailboatlistings.com/view/123456. Analyze the photos and description for potential issues.'
}],
stream: true
});
for await (const chunk of surveyStream) {
if (chunk.choices[0]?.delta?.content) {
process.stdout.write(chunk.choices[0].delta.content);
}
}
Focused Inspection
curl -N -X POST https://api.yachtsy.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "yachtsy-survey-agent",
"messages": [{
"role": "user",
"content": "Focus on electrical systems and engine condition for this 1995 Hunter 40. What should I look for during inspection?"
}],
"stream": true
}'
Survey Report Structure
Professional Format
## Survey Report - [Year] [Make] [Model]
### Executive Summary
- Overall condition assessment
- Key findings and concerns
- Estimated repair costs
- Purchase recommendation
### Hull & Deck Inspection
- Gelcoat condition: [Assessment]
- Through-hulls: [Condition]
- Deck hardware: [Status]
- **Findings**: [Specific issues noted]
### Rigging Assessment
- Standing rigging: [Condition]
- Running rigging: [Wear assessment]
- Sails: [Age and condition]
- **Recommendations**: [Immediate needs]
### Mechanical Systems
- Engine: [Hours, condition, maintenance]
- Fuel system: [Tank, lines, filters]
- Water system: [Tanks, pumps, plumbing]
- **Priority Items**: [Critical repairs needed]
### Electrical & Electronics
- Wiring: [Safety and condition]
- Battery system: [Capacity and age]
- Electronics: [Functionality and age]
- **Safety Concerns**: [Electrical hazards]
### Interior Condition
- Cabin: [Wear, damage, modifications]
- Head/Galley: [Plumbing, appliances]
- Storage: [Access, condition]
- **Comfort Factors**: [Livability assessment]
### Recommendations
1. **Immediate**: [Critical repairs needed before use]
2. **Short-term**: [Address within 6 months]
3. **Long-term**: [Future upgrades and maintenance]
4. **Budget**: [Estimated costs for repairs/upgrades]
Vision Analysis
Photo Analysis Capabilities
# Analyze specific boat photos
response = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "user",
"content": """
Analyze these aspects from the boat photos:
1. Hull condition - look for crazing, blisters, repairs
2. Rigging condition - check for corrosion, wear, proper tension
3. Deck condition - soft spots, hardware condition, non-skid wear
4. Interior condition - signs of water damage, wear patterns
Provide specific observations and risk assessments.
"""
}],
stream=True
)
Common Issues Detection
The agent is trained to identify:
- Hull Issues: Osmotic blisters, gelcoat crazing, impact damage
- Rigging Problems: Corrosion, fatigue, improper installation
- Deck Concerns: Soft spots, hardware leaks, non-skid wear
- Engine Issues: Oil leaks, corrosion, maintenance neglect
- Electrical Problems: Unsafe wiring, corrosion, outdated systems
Integration with Other Agents
Complete Boat Evaluation Workflow
# 1. Research the model first
research = client.chat.completions.create(
model="yachtsy-deep-research-agent",
messages=[{"role": "user", "content": "Research Catalina 34 common issues and market value"}]
)
# 2. Find available boats
listings = client.chat.completions.create(
model="yachtsy-listings-agent",
messages=[{"role": "user", "content": "Find Catalina 34 boats under $50k"}]
)
# 3. Survey specific boats of interest
survey = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "user",
"content": "Survey this specific Catalina 34 listing. Focus on the common issues identified in the research phase."
}],
stream=True
)
Survey Types
Pre-Purchase Survey
"Complete pre-purchase survey for this [year] [make] [model]. Include condition assessment, repair estimates, and purchase recommendation."
Insurance Survey
"Insurance survey for [boat details]. Focus on safety systems, structural integrity, and compliance with insurance requirements."
Condition Assessment
"Assess current condition of [boat] for maintenance planning. Prioritize repairs and estimate costs."
Targeted Inspection
"Focus on [specific systems] for this [boat]. I'm concerned about [specific issues]."
Performance Optimization
Query Optimization
- Be Specific: Include boat details (year, make, model)
- Focus Areas: Specify systems of concern
- Include Context: Mention intended use or concerns
- Request Structure: Ask for organized reports
Streaming Benefits
import time
start_time = time.time()
survey_text = ""
stream = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "user",
"content": "Survey 1985 Catalina 34 for offshore cruising suitability"
}],
stream=True
)
print("Survey starting...")
for chunk in stream:
if chunk.choices[0].delta.content:
token = chunk.choices[0].delta.content
survey_text += token
print(token, end="", flush=True)
print(f"\n\nSurvey completed in {time.time() - start_time:.1f} seconds")
Professional Applications
Yacht Brokers
# Quick condition assessment for listings
assessment = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "system",
"content": "You are providing a preliminary condition assessment for a yacht broker. Focus on marketability and disclosure items."
}, {
"role": "user",
"content": "Assess this boat's condition and identify any issues that should be disclosed to potential buyers."
}]
)
Marine Surveyors
# Detailed technical inspection
technical_survey = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "system",
"content": "You are conducting a detailed marine survey. Provide technical assessments with specific recommendations and cost estimates."
}, {
"role": "user",
"content": "Complete structural and systems survey for insurance purposes. Include all safety-critical items."
}],
stream=True
)
Boat Buyers
# Pre-purchase evaluation
buyer_survey = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{
"role": "user",
"content": "I'm considering buying this boat for coastal cruising. What should I look for during inspection? What are the deal-breakers vs fixable issues?"
}],
stream=True
)
Error Handling & Limitations
Common Issues
try:
response = client.chat.completions.create(
model="yachtsy-survey-agent",
messages=[{"role": "user", "content": "survey request"}],
stream=True
)
except Exception as e:
if "invalid url" in str(e).lower():
print("Listing URL not accessible. Try with boat description instead.")
elif "no images" in str(e).lower():
print("No photos available for visual analysis. Provide boat details for assessment.")
else:
print(f"Survey failed: {str(e)}")
Limitations
- Photo Quality: Analysis quality depends on image clarity
- Remote Assessment: Cannot replace physical inspection
- Regional Variations: Some local issues may not be covered
- Age Factors: Very old boats may have limited data
Next Steps
- Learn about Deep Research Agent for market analysis
- Use Listings Agent to find boats to survey
- Explore API Reference for technical details
- See Integration Guides for application examples
Important: AI surveys supplement but do not replace professional marine surveys. Always hire a qualified surveyor for major purchases or insurance requirements.