AI features
ツール呼び出しと実際の状態エラーを備えたストリーミングチャットUI
AI機能にふさわしいフロントエンド：トークンストリーミング、キャンセル、再試行、リフレッシュ後も残るメッセージ。
What you get
- 停止、再生成、編集・再送信機能を備えたストリーミングインターフェース
- モデルの実行中に何をしているかを示すツール呼び出しレンダリング
- リロードや再接続後も保持される会話履歴
- 生の例外として残すのではなく、設計されたエラーおよびレート制限状態
Usually built with
Vercel AI SDK
Next.js
TypeScript
Redis
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
MCP 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 €2,000Harden 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 €1,800Evaluation 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 €2,400Token budget and caching layer for your AI featureCut your model spend with caching, routing and per-user budgets, without changing what your users experience.from €1,500
What will it cost?
Four questions, an instant range. No account, no waiting.
Estimated range
€2,000 – €4,000
6-10
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.