Claude 모델을 호출하고, 프롬프트를 관리하고, 사용량을 모니터링하세요 - Neotask이 Neotask을 통해 Anthropic API를 오케스트레이션합니다.
구조화된 프롬프트, 시스템 메시지, 도구 사용으로 Claude 모델 호출
워크스페이스와 API 키 전체의 API 사용량과 비용 추적
보일러플레이트 없이 다중 턴 Claude 워크플로우 프로토타입 제작 및 반복
할 수 있는 것
Claude 모델 호출
Call any Claude model - Claude Opus, Sonnet, or Haiku - with full control over system prompts, temperature, max tokens, and tool definitions. Get structured JSON back or plain prose depending on your task.
Prompt Engineering Workflows
Iterate on system prompts interactively. Neotask can run the same user message against multiple system prompt variants and display results side by side so you can tune without writing test scripts.
Tool Use and Function Calling
Define tool schemas and let Neotask orchestrate multi-step Claude tool-use loops. Extract structured data, call external APIs, and chain results - all described in plain language.
Usage Monitoring
Check token consumption by model, date, and API key. Identify which workspaces are burning through quota and get plain-English summaries of your Anthropic billing.
Batch Processing
Submit large batches of prompts to the Claude API and collect results efficiently. Neotask handles rate limiting, retries, and output aggregation automatically.
이렇게 물어보세요
"Call Claude Sonnet with this system prompt and tell me if the output is valid JSON"
"Compare how Claude Opus and Claude Haiku handle this classification task"
"Run this prompt against 50 inputs from my CSV and return structured results"
"What's our Anthropic API spend this week?"
"Build a tool-use call that extracts name, date, and amount from invoice text"
"Iterate on this system prompt until Claude returns responses under 100 words consistently"
"List all API keys in my Anthropic workspace and when they were last used"
"Stream a long Claude response and save the output to a file"
프로 팁
Use Neotask to A/B test prompt variants against a golden evaluation set before shipping to production
Ask for Haiku first when prototyping - it's faster and cheaper; promote to Opus only when quality requires it
Describe your tool schema in plain English and let Neotask write the JSON definition for you
Combine Anthropic with your vector store: retrieve relevant chunks first, then pass them to Claude in context
Use the batch endpoint for offline jobs - Neotask will poll for completion and surface results when ready