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Helicone

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Monitor and enhance LLM app performance and quality.

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Agents Bug Fix Deployment

Overview

Helicone is an all-in-one platform to monitor, debug, and improve production-ready LLM applications.

Key Features:

  • Deep dive into each trace and debug agents easily
  • Prevent regression and improve quality over time
  • Push high-quality prompt changes to production
  • Turn complexity and abstraction into actionable insights

Use Cases:

  • Monitoring and debugging LLM applications
  • Preventing regression and improving quality over time
  • Tuning prompts and justifying iterations with quantifiable data
  • Detecting hallucinations, abuse, and performance issues quickly

Benefits:

  • Visualize multi-step LLM interactions and pinpoint root cause of errors
  • Monitor performance in real-time and catch regressions pre-deployment
  • Quickly detect issues and improve insights across all providers
  • Unified insights for all providers to detect issues quickly

Capabilities

  • Monitors and analyzes LLM application performance
  • Debugs and traces complex AI workflows
  • Manages and versions AI prompts
  • Optimizes AI prompts without disrupting existing workflows
  • Reduces API costs and improves response times using response caching
  • Automates LLM workflows using webhooks
  • Tracks AI usage, costs, and latency
  • Groups and visualizes multi-step LLM interactions
  • Conducts A/B testing on different prompt versions
  • Integrates with OpenAI, Anthropic, and Azure
  • Provides cost analysis and tracks API usage
  • Implements one-line integration for monitoring LLM applications

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