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AppRisingofficial publisher

Helicone

App : A product you use directly

Observability proxy: costs, latency and logs of all your LLM requests by changing one URL.

The simplest way to finally see what each AI feature costs.

Overall score
8.7 /10
Security: nothing to flag
Utility
7.5
Reliability
10.0
Security
No caveat on record
Ease
5 min · Comfortable

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

When building an application that calls language models, it is hard to know what each feature actually costs, where slowdowns occur, and what exactly happens during an error. Helicone addresses this by intercepting all LLM requests to log and analyze them.

In practice, you simply replace the base URL of your OpenAI (or Anthropic, Gemini, etc.) client with Helicone's and add your API key. All requests are then automatically logged with their cost, latency, and content, visible in a web dashboard. Helicone also acts as a unified gateway giving access to more than 100 models through a single API key, with intelligent routing and automatic fallback on failure.

Helicone is aimed at developers and teams building LLM-based applications who want to monitor costs, debug agents, or manage prompts in production. It is compatible with LangChain, LlamaIndex, Vercel AI SDK, CrewAI, and many other frameworks.

It is not suited for someone looking for a no-code tool or a consumer-facing interface to interact with models: Helicone is primarily intended for technical profiles who write code.

What it offers

  • ·Automatic logging of all LLM requests (cost, latency, content) via a simple URL change.
  • ·Unified gateway to more than 100 models (OpenAI, Anthropic, Gemini, Groq, AWS Bedrock, etc.) with a single API key.
  • ·Intelligent routing and automatic fallback to a backup model when the primary provider fails.
  • ·Session and agent tracing to debug complex pipelines (chatbots, document processing, multi-step agents).
  • ·Prompt management and versioning in production, deployable without code changes.
  • ·Built-in playground to test and iterate on prompts directly from the interface.
  • ·Metrics export to PostHog to build custom dashboards.
  • ·Self-hosting available via Docker Compose or Helm (the latter reserved for enterprise deployments).

In practice

Price
Freemium
Commercial use
Commercial use: yes
Available on
web, docker
Licence
Apache-2.0

Security and data

Rating
Security: nothing to flag
Your data
Data with the vendor
Maintenance
Active
Last release
21 August 2025

Links and repository checked on 25 October 2026 · added on 1 January 2023

How to install Helicone

1. Create an account at helicone.ai/signup (no credit card required for the free plan). 2. Retrieve your Helicone API key from the dashboard. 3. In your code, replace the base URL of your OpenAI client with https://ai-gateway.helicone.ai and use your Helicone key as the apiKey. 4. Send a test request: logs appear immediately at us.helicone.ai/dashboard. 5. For self-hosting, clone the repository, copy docker/.env.example to .env, then run ./helicone-compose.sh helicone up. Never expose your API key in logs or public repositories.
git clone https://github.com/Helicone/helicone.git && cd docker && cp .env.example .env && ./helicone-compose.sh helicone up

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