AI features
Token budget and caching layer for your AI feature
Cut your model spend with caching, routing and per-user budgets, without changing what your users experience.
What you get
- Semantic and exact-match caching with a measured hit rate
- Model routing sending easy requests to cheaper models
- Per-user and per-tenant spend caps with graceful degradation
- Cost dashboard broken down by feature and customer
Usually built with
LiteLLM
Redis
Node.js
OpenAI API
A guide, not a requirement — sellers propose what suits your situation.
Nobody offers this yet
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Or publish it yourself if this is your work.
Close to this
Harden your LLM feature against prompt injectionClose the gaps that let a crafted input make your agent leak data, call the wrong tool or ignore its instructions.from €1,800MCP server so agents can use your internal toolsExpose your internal APIs to coding and support agents safely, with scoped permissions and a full audit trail.from €2,000Streaming chat UI with tool calls and real error statesThe front end your AI feature deserves: token streaming, cancellation, retries and messages that survive a refresh.from €2,000Evaluation harness so prompt changes stop regressingA test suite for your AI feature that runs in CI and tells you when a prompt or model change makes things worse.from €2,200Make your RAG bot stop inventing answersDiagnose why retrieval misses, then fix chunking, reranking and prompting until answers are grounded and citable.from €2,200Moderation for user-generated text and imagesAutomatic screening of uploads and posts with tunable thresholds, an appeals path and a queue for the grey area.from €2,400
What will it cost?
Four questions, an instant range. No account, no waiting.
Estimated range
€1,500 – €3,200
4-8
Based on the catalogue guide — nobody has published this service yet, so there is no market price to work from. An estimate, not a quote: a seller prices the real job once they have read it.
Request a quote
Nobody has published this service yet.