Why DSPy Developers Need AgentGenome
DSPy makes prompts programmatic and optimizable. AgentGenome profiles your DSPy programs so optimized prompts work consistently—regardless of which LLM runs them.
Programmatic Prompts Lack Metrics
DSPy optimizes prompts automatically. But how well? Without profiling, optimization quality is invisible.
Optimization Is LLM-Specific
Prompts optimized for GPT-4 might not be optimal for Claude. AgentGenome tracks cross-provider effectiveness.
Module Interactions Are Complex
DSPy modules chain together. Understanding module contributions requires behavioral analysis.
Compiled Prompts Need Portability
DSPy compiles prompts for performance. Can compiled programs work on other providers?
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
import dspy
from agentgenome import profile_program
lm = dspy.OpenAI(model="gpt-4")
dspy.settings.configure(lm=lm)
class QA(dspy.Module):
def __init__(self):
super().__init__()
self.generate_answer = dspy.ChainOfThought("question -> answer")
@profile_program(genome_id="qa-program")
def forward(self, question):
return self.generate_answer(question=question)
# Prompt program behaviors capturedWhat You Get
- Behavioral profiling without code changes
- 35% average token savings
- Real-time drift detection
- Substrate-independent genome export
- Multi-provider deployment ready
Profile Once. Deploy Anywhere.
Prompt programs port cross-LLM. Capture how your DSPy programs perform—deploy optimized prompts on any LLM.
Your DSPy Agents Deserve Freedom
You've invested months optimizing DSPy prompts. What happens when costs rise, performance drops, or a better model launches?
✗Without AgentGenome
- •Start over. Rebuild every prompt from scratch.
- •Lose months of behavioral optimization.
- •4-6 weeks of engineering per migration.
- •$47K+ average migration cost.
- •40%+ behavioral drift during migration.
With AgentGenome
- ✓Export your behavioral genome in one click.
- ✓Import to LangChain, Guidance, LMQL, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export DSPy program genome
from agentgenome import genome
# Capture optimized prompt patterns
genome.export('qa-program.genome')
# Deploy on Claude
genome.import_to('qa-program.genome', provider='anthropic')
# Same optimization, new substrateDeploy your DSPy genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build DSPy applications Once.
Deploy on Any LLM.
Prompt programs port cross-LLM. Capture how your DSPy programs perform—deploy optimized prompts on any LLM.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your DSPy applications
Add 3 lines of code. Capture behavioral DNA automatically.
import dspy
from agentgenome import profile_program
lm = dspy.OpenAI(model="gpt-4")
dspy.settings.configure(lm=lm)
class QA(dspy.Module):
def __init__(self):
super().__init__()
self.generate_answer = dspy.ChainOfThought("question -> answer")
@profile_program(genome_id="qa-program")
def forward(self, question):
return self.generate_answer(question=question)
# Prompt program behaviors capturedYour applications become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How PromptLab Made DSPy Programs Portable
The Challenge
PromptLab's DSPy-optimized QA system worked beautifully on GPT-4. When exploring Claude for research, they needed to know if their optimizations would transfer.
The Solution
AgentGenome profiled DSPy program behaviors, module interactions, and optimization effectiveness. The program genome was tested across providers.
"DSPy optimization shouldn't be locked to one LLM. Genome profiling showed us what transfers and what doesn't."
— Dr. Rachel Kim, Research Lead, PromptLab
Without vs With AgentGenome
| Aspect | Without AgentGenome | With AgentGenome |
|---|---|---|
| Debugging Time | 4+ hours per incident | 52 minutes average (-78%) |
| Token Efficiency | Unknown waste | 35% average savings |
| Behavioral Visibility | Black box | Full trait analysis |
| Drift Detection | Discover in production | Catch before deployment |
| Agent Portability | 🔒 Locked to DSPy | 🔓 Deploy on any LLM |
| Migration Time | 4-6 weeks per provider | Hours with genome export |
| Migration Cost | $47K+ engineering | Included in Pro tier |
| Multi-Provider Strategy | Rebuild for each | One genome, all providers |
| Future-Proofing | Start over when models change | Take your genome with you |
| Vendor Negotiation | No leverage (locked in) | Full leverage (can leave) |
The Cost of Waiting
💸 Financial Lock-In
- DSPy pricing has increased multiple times since launch
- Without portable profiles, you pay whatever they charge
- Migration estimate without AgentGenome: $47K and 8 weeks
⚠️ Strategic Lock-In
- Better alternatives might exist—but can you actually switch?
- Your competitors are profiling for portability right now
- When you need to migrate, will you be ready?
🔒 The Vendor Lock-In Tax
- 4-6 weeks of engineering to migrate unprofiled agents
- 40%+ behavioral drift during manual migration
- Zero leverage in pricing negotiations
📉 Competitive Disadvantage
- Competitors with portable profiles ship 80% faster
- They negotiate contracts with leverage—you don't
- They test new models in hours; you take months
"Every day without profiling locks you deeper into DSPy."
When DSPy raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from DSPy users who profiled their agents
Before AgentGenome
- • Debugging: 4+ hours per incident
- • Migration: 4-6 weeks per provider
- • Token waste: Unknown
- • Drift detection: In production
- • Vendor leverage: None
After AgentGenome
- • Debugging: 52 minutes average
- • Migration: Hours with genome export
- • Token savings: 35% average
- • Drift detection: Before deployment
- • Vendor leverage: Full (can leave anytime)
Already Locked Into DSPy?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your DSPy agent's behavioral DNA. No changes to your existing logic.
Export Your Genome
One command exports your substrate-independent genome. It works on any LLM provider, not just DSPy.
Deploy Anywhere
Import your genome to Claude, Gemini, Llama, or any provider. 95%+ behavioral consistency, zero rework.
Zero-Downtime Migration Promise
AgentGenome's migration assistant guides you through the process. Profile your current agent while it's running, export the genome, and deploy to a new provider—all without touching your production system until you're ready.
Start Free. Unlock Portability with Pro.
Most DSPy developers choose Pro for multi-provider genome sync. Start free and upgrade when you need portability.
| Portability Features | Free | Pro | Enterprise |
|---|---|---|---|
| Genome Export | JSON only | JSON + YAML | All formats |
| Multi-Provider Sync | — | ✓ | ✓ + Custom |
| Migration Assistant | — | ✓ | ✓ + SLA |
| Custom Substrate Adapters | — | — | ✓ |
Frequently Asked Questions
Everything you need to know about AgentGenome for DSPy