AI features
您的AI功能的Token预算和缓存层
通过缓存、路由和按用户预算，削减模型开支，同时不改变用户体验。
What you get
- 具有测量命中率的语义和精确匹配缓存
- 模型路由将简单请求发送到更便宜的模型
- 按用户和按租户的支出上限，并带有优雅降级
- 按功能和客户细分的成本仪表板
Usually built with
LiteLLM
Redis
Node.js
OpenAI API
A guide, not a requirement — sellers propose what suits your situation.
Nobody offers this yet
No seller has published this service yet. Ask anyway — the request goes to the marketplace and sellers who do this kind of work can answer it.
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.