Claude models for secure, high-performance AI integrations.
Anthropic builds the Claude models, valued for their reliability and pronounced focus on safety. They handle long context carefully, hold the thread across many pages and follow instructions precisely instead of wandering off. Tool use lets them reach into your systems, and features like prompt caching noticeably cut the cost of recurring calls. We use them for demanding integrations where results you can follow matter more than a quick effect.
More in the documentationWe use Claude when a task needs a lot of context, such as summarising long documents, reviewing contracts or an assistant that stays cleanly within bounds. With prompt caching we keep recurring system prompts cheap, even at thousands of requests a day. It fits anywhere you genuinely need to trust the output.
const msg = await client.messages.create({
model: "claude-sonnet-4-5",
max_tokens: 1024,
system: [
{ type: "text", text: longHandbook, cache_control: { type: "ephemeral" } },
],
messages: [{ role: "user", content: "summarise section 3" }],
});Good to know
Mark the stable part of your prompt, namely the system instruction and large background knowledge, with cache_control. On the next call it is read from cache, which markedly cuts latency and cost, as long as you do not change that block.
More tools we work with in the same area.
OpenAI
GPT models for text, analysis and intelligent features.
RAG
Retrieval-augmented generation for AI answers based on your own data.
Vector Databases
Semantic search and knowledge bases for AI applications.
LangChain
A framework for orchestrating LLM workflows, agents and tools.
Hugging Face
Open-source models and inference for AI that fits you exactly.
MCP
Model Context Protocol for a clean connection between AI and your tools.
You don't have to decide that, it's our job. Tell us about your plans.