v3.0Build Reliable AI Agents
ThinkHive is the observability and quality platform for AI agents. Capture traces, detect failures, and continuously improve your agents with automated analysis.
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Why ThinkHive?
Complete Observability
OpenTelemetry-based tracing captures every LLM call, retrieval, and tool use. Support for ThinkHive, LangSmith, OpenInference, and Weave formats.
Quality Evaluation
RAG evaluation metrics, 9 types of hallucination detection, groundedness scoring, and drift monitoring to ensure consistent quality.
Business Intelligence
Connect AI performance to business outcomes with ROI analytics, customer context linking, and revenue impact analysis.
Automated Fixes
AI-powered failure clustering, fix generation, and shadow testing to validate improvements before deploying to production.
Enterprise Security
Auth0 SSO, HIPAA/GDPR compliance, PII redaction, audit logs, and credit-based billing with Stripe integration.
Real-time Monitoring
Live dashboards, webhook notifications, Slack/email alerts, and customizable SLA monitoring for production workloads.
Get Started in Minutes
Install the SDK
npm install @thinkhive/sdkInitialize ThinkHive
import { init } from '@thinkhive/sdk';
init({
apiKey: process.env.THINKHIVE_API_KEY,
serviceName: 'my-ai-agent',
});Trace Your LLM Calls
import { traceLLM } from '@thinkhive/sdk';
const response = await traceLLM({
name: 'customer-support',
modelName: 'gpt-4',
provider: 'openai',
}, async () => {
return await openai.chat.completions.create({
model: 'gpt-4',
messages: [{ role: 'user', content: userMessage }],
});
});View in Dashboard
Open app.thinkhive.ai to see your traces, run evaluations, and analyze quality metrics.
SDKs & Integrations
Full-featured SDK with auto-instrumentation for OpenAI, LangChain, Vercel AI.
JavaScript/TypeScriptDecorator-based tracing for Python applications and ML frameworks.
PythonModel Context Protocol server for Claude Code CLI integration.
MCP ServerAPI Overview
ThinkHive provides a comprehensive REST API with 71 endpoints across these categories:
| Category | Description |
|---|---|
| Agents | Manage AI agents and configurations |
| Traces | Capture and query agent traces |
| Explainability | RAG evaluation, hallucination detection |
| Cases | Failure clustering and fix management |
| Evaluation | Run evaluations against golden datasets |
| Webhooks | Real-time notifications |
View the complete API Reference for detailed endpoint documentation.