Why Bedrock Users Need AgentGenome
Bedrock offers multiple models through one API. AgentGenome adds unified behavioral profiling—so you can compare, optimize, and migrate across Bedrock models and external providers.
Multi-Model Orchestration Chaos
Bedrock offers Claude, Llama, and proprietary models. Without unified profiling, you can't compare behaviors or know which model to use when.
AWS Lock-In Deepens with Each Model
The more you build on Bedrock, the harder it is to leave AWS. AgentGenome gives you portable behavioral profiles for any exit strategy.
Model Updates Across Providers Are Unpredictable
Bedrock models update independently. When Claude on Bedrock changes, does it affect your agent? AgentGenome tracks drift across all models.
Cost Optimization Across Models Is Guesswork
Which Bedrock model is most cost-effective for your use case? Without behavioral comparison, optimization is trial and error.
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
import boto3
import json
from agentgenome import profile
client = boto3.client('bedrock-runtime')
@profile(genome_id="bedrock-agent")
def invoke_model(prompt: str, model_id: str = "anthropic.claude-3-sonnet"):
response = client.invoke_model(
modelId=model_id,
body=json.dumps({"messages": [{"role": "user", "content": prompt}]})
)
return json.loads(response['body'].read())
# Profile across any Bedrock modelWhat 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.
Unified profiling across Bedrock models. Compare Claude, Llama, and Titan on Bedrock—or migrate to direct provider APIs—with behavioral consistency.
Your Bedrock Agents Deserve Freedom
You've invested months optimizing Bedrock 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 Direct Anthropic API, Direct Meta API, Azure OpenAI, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Compare Bedrock models
from agentgenome import genome
# Profile on Claude via Bedrock
genome.export('bedrock-claude.genome')
# Profile same agent on Llama via Bedrock
genome.export('bedrock-llama.genome')
# Or export for use outside AWS
genome.import_to('bedrock-claude.genome', provider='anthropic')Deploy your Bedrock genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build Bedrock agents Once.
Deploy on Any LLM.
Unified profiling across Bedrock models. Compare Claude, Llama, and Titan on Bedrock—or migrate to direct provider APIs—with behavioral consistency.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your Bedrock agents
Add 3 lines of code. Capture behavioral DNA automatically.
import boto3
import json
from agentgenome import profile
client = boto3.client('bedrock-runtime')
@profile(genome_id="bedrock-agent")
def invoke_model(prompt: str, model_id: str = "anthropic.claude-3-sonnet"):
response = client.invoke_model(
modelId=model_id,
body=json.dumps({"messages": [{"role": "user", "content": prompt}]})
)
return json.loads(response['body'].read())
# Profile across any Bedrock modelYour agents become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How CloudFirst Unified Multi-Model Profiling on Bedrock
The Challenge
CloudFirst used 4 different Bedrock models for different customers. Without unified profiling, they couldn't compare model performance, optimize costs, or prove behavioral consistency across their platform.
The Solution
AgentGenome provided unified profiling across all Bedrock models. Genome comparison identified which model excelled at which tasks, enabling smart routing and cost optimization.
"We finally understand what each Bedrock model does for us. And if we ever need to leave AWS, our genomes come with us."
— Amanda Chen, Chief Architect, CloudFirst
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 Bedrock | 🔓 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
- Bedrock 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 Bedrock."
When Bedrock raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from Bedrock 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 Bedrock?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your Bedrock 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 Bedrock.
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 Bedrock users 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 Bedrock