Move your AI applications from OpenAI, Google Vertex AI, or Azure OpenAI to Amazon Bedrock — without rebuilding from scratch. Intelligent translation. Zero vendor lock-in.
System prompts, message roles, JSON mode, function calling — every provider has its own schema. Porting a prompt library isn't copy-paste. It's a rewrite.
GPT-4 to Claude — which Bedrock model is closest? What are the quality tradeoffs? Without benchmarking, migration is guesswork and risk.
Current migrations take 3–6 months of engineering effort. Each prompt needs manual testing. Each API call needs refactoring. That's millions in opportunity cost.
Paste or upload your existing prompt library, API configs, and model settings from any provider.
Our engine detects format, features used (JSON mode, function calling), and migration complexity.
Auto-convert to Bedrock-compatible format. Structure, tone, and intent preserved exactly.
Execute source and translated prompts side-by-side. Capture latency, tokens, and quality scores.
Receive a full report: quality delta, cost savings, latency comparison, and a go/no-go recommendation.
SYSTEM LAYERS
Converts provider-specific schemas into Bedrock-ready templates. Handles JSON mode, function calling, and structured output.
Recommends the closest Bedrock equivalent based on task type and capability. Maps GPT-4 → Claude 3.5, Gemini → Titan.
Invokes both source and Bedrock APIs simultaneously. Captures responses, latency, and token usage for fair comparison.
Scores outputs using semantic similarity, structure correctness, and LLM-as-judge quality. Produces a confidence rating.
| SOURCE MODEL | PROVIDER | BEDROCK EQUIVALENT | TASK TYPE | EST. COST SAVING |
|---|---|---|---|---|
| GPT-4o | OpenAI | Claude 3.5 Sonnet | General Reasoning | ↓ 42% |
| GPT-4o-mini | OpenAI | Claude 3 Haiku | Fast Completion | ↓ 61% |
| Gemini 1.5 Pro | Google Vertex | Claude 3 Sonnet | Long Context | ↓ 38% |
| GPT-3.5 Turbo | OpenAI | Amazon Titan | Text Generation | ↓ 55% |
| Azure GPT-4 | Azure OpenAI | Claude 3 Opus | Complex Analysis | ↓ 29% |
Select a pre-built migration scenario and hit Execute. Watch the Translation Layer process your payload in real-time — complete with streaming output and live metrics.
Paste a single prompt or upload your entire prompt library. Supports JSON, YAML, and raw text.
→ Drag & drop readyOne button triggers the entire pipeline — analysis, translation, model mapping, and execution.
→ ~30 secondsSee the translated Bedrock format side-by-side with your original. Edit and re-run anytime.
→ Full diff viewQuality score, latency delta, token usage, cost estimate, and a confidence rating for migration.
→ Exportable PDFWhat used to take a 6-person engineering team 3 months now happens in days. Automated translation eliminates the manual rework bottleneck entirely.
Run both providers simultaneously before committing. See exactly how Bedrock performs on your specific workloads — not synthetic benchmarks.
When you can migrate in days rather than months, vendors know it. Multi-provider flexibility gives enterprises real leverage in contract negotiations.
Every migration produces a detailed report with quality metrics, cost analysis, and a signed-off recommendation — perfect for enterprise governance.
LLM Migrator turns AI vendor lock-in from a 6-month engineering project into a 30-second automated workflow. This is enterprise AI portability — made practical.