Step-by-step guide

How to Migrate from Anthropic API to Multi-Model

Expand beyond Claude without abandoning it. Translate your Anthropic integration to an OpenAI-style messages format and unlock nine models through one endpoint.

You only pay credits per request. No monthly subscription. Paid credits never expire.

Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.

Why teams start here first
No monthly subscription
Pay-as-you-go credits
Start with trial credits, then buy only what you consume.
Failover safety
Production-ready routing
Auto fallback across providers when latency, quality, or reliability changes.
Data control
Your policy, your choice
BYOK and zero-retention mode keep training and storage scope explicit.
Single API experience
One key, multi-provider access
Use Chat/Compare/Blend/Judge/Failover from one dashboard.
1

Audit your Claude usage patterns

Review your Anthropic dashboard for model versions in use, average prompt and completion token counts, monthly spend, and which features you rely on (long context, vision, system prompts). Note any Anthropic-specific parameters like top_k or metadata so you can map them to their equivalents during migration.

2

Translate requests to OpenAI-style messages

LLMWise uses an OpenAI-style messages format as its universal contract. Convert Anthropic's messages array (with its role and content block structure) to role/content messages. In most cases this means flattening content blocks into a single string and moving the system prompt into a system-role message. LLMWise handles the reverse translation when routing to Claude on the backend.

3

Configure BYOK for direct Anthropic routing

Add your Anthropic API key in the LLMWise dashboard to enable Bring Your Own Key routing. When you request Claude Sonnet 4.5 or Claude Haiku 4.5, LLMWise routes directly to Anthropic using your key, so you keep your existing rate limits and pricing tier. BYOK requests are billed to your Anthropic account instead of LLMWise wallet credits while still benefiting from failover and logging.

4

Enable cross-provider failover

Set up a fallback chain so that if Claude is unavailable, requests automatically route to GPT-5.2 or Gemini 3 Flash. This eliminates the single-provider risk that comes with an Anthropic-only integration. LLMWise Mesh mode handles circuit breaking and failover transparently, so your application code does not need retry logic.

5

Expand to multi-model workflows

Once migrated, explore LLMWise modes that were not possible with a single-provider setup. Use Compare mode to benchmark Claude against GPT on your prompts, Blend mode to synthesize responses from multiple models, or Judge mode to have one model evaluate another's output. These workflows help you discover which model is genuinely best for each task.

Evidence snapshot

How to Migrate from Anthropic API to Multi-Model execution map

Operational checklist coverage for teams implementing this workflow in production.

Steps
5
ordered implementation actions
Takeaways
3
core principles to retain
FAQs
4
execution concerns answered
Read time
10 min
estimated skim time
Key takeaways
The main migration task is translating Anthropic's message format to the OpenAI-style messages format that LLMWise uses.
BYOK lets you keep your Anthropic API key and pricing while gaining multi-model access and failover.
Cross-provider failover and advanced orchestration modes are the biggest upgrades over a single-provider Anthropic integration.

Common questions

Can I keep using Claude after migrating to LLMWise?
Absolutely. LLMWise supports Claude Sonnet 4.5 and Claude Haiku 4.5. You can set Claude as your primary model and add other models as fallbacks, or use Compare mode to run prompts on Claude alongside GPT and Gemini.
Does LLMWise support Anthropic-specific features like long context?
Yes. LLMWise passes your full context window to Claude when routing to Anthropic. Features like 200K-token context and vision are fully supported. The platform translates between the OpenAI format and Anthropic's native format automatically.
What happens to my Anthropic rate limits with BYOK?
Your rate limits stay the same because BYOK requests go directly to Anthropic using your key. LLMWise acts as a transparent proxy for BYOK traffic, adding failover and logging without affecting your provider-side quotas.
How long does it take to migrate from Anthropic to LLMWise?
The main work is translating Anthropic's message format to the OpenAI-style messages schema, which typically takes an hour or two. Once migrated, you keep full access to Claude models while gaining cross-provider failover and access to eight additional models through the same endpoint.

One wallet, enterprise AI controls built in

You only pay credits per request. No monthly subscription. Paid credits never expire.

Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.

Chat, Compare, Blend, Judge, MeshPolicy routing + replay labFailover without extra subscriptions