Helicone

Open Source

Evaluation and Monitoring Updated Feb 15, 2026

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Compared with 49 other Evaluation and Monitoring agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Monitoring API calls and responses for LLM-based applications Debugging unexpected model outputs or performance issues Optimizing cost and latency by analyzing usage patterns Auditing model behavior for compliance or ethical considerations Comparing performance across different LLM providers or models

⚖️ Pros & Cons

✅ Pros

Open-source and self-hostable, offering flexibility and control
Provides detailed logging and analytics for LLM interactions
Supports integration with multiple LLM providers

❌ Cons

Requires technical expertise to deploy and maintain
Limited to monitoring and evaluation, not a full LLM management suite
Community-driven support may lack enterprise-grade SLAs

Overview

Helicone is an open-source platform designed to help developers monitor, evaluate, and optimize large language model (LLM) applications. It provides tools for logging, analyzing, and debugging LLM interactions to improve performance and reliability.

Problem It Solves

It simplifies the process of tracking and troubleshooting LLM usage, ensuring better transparency and control over model behavior in production environments.

Target Audience: Developers and teams working with evaluation and monitoring automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are Helicone, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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