Details

Asset Version: 1.0.0
Last Published: May 28, 2026
By: HCL Volt MX Team
Helicone Integration Application provides observability and monitoring for LLM API interactions within Volt MX applications. It captures and analyses Chat Completions API requests and responses across AI providers such as OpenAI and Anthropic. The platform offers insights into latency, token usage, cost tracking, and error monitoring for each API call. Developers can use these capabilities to optimise performance, debug prompts, and improve reliability of AI-powered applications.
Requirements
- HCL Volt MX Iris
- HCL Volt MX Foundry
Devices
Platforms
Features:
- Multiple Model Access:
Access a wide range of AI models from providers like OpenAI, Anthropic, Google, and open models such as Llama and Mistral through a single unified API gateway. - Unified Text Generation & Chat:
Generate high-quality text, perform chat completions, summarization, and conversational AI interactions using an OpenAI-compatible API format. - Smart Model Routing:
Dynamically route requests to different models or providers based on cost, latency, or performance requirements for optimized results. - AI Request Logging & Observability:
Track and monitor all API requests and responses with detailed logs, enabling debugging, auditing, and performance analysis. - Cost Tracking & Usage Analytics:
Monitor token usage, request counts, and overall costs across multiple providers to optimize budget and usage. - Caching & Performance Optimization:
Improve response time and reduce costs by caching repeated requests and reusing responses when applicable. - Failover & Reliability Handling:
Ensure high availability with automatic retries and fallback to alternative providers if a request fails. - OpenAI-Compatible REST API:
Easily integrate with existing applications using standard HTTP requests and JSON responses without major code changes. - Prompt Testing & Experimentation:
Test and compare prompts across multiple models to evaluate output quality and refine AI responses. - Scalable & Developer-Friendly:
Provides a flexible and scalable infrastructure for building AI-powered applications without managing multiple APIs separately.