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Helicone

What Helicone does

Helicone is (was) an open-source LLM observability platform and AI gateway designed to help AI developers and teams debug, evaluate, and operate language-model applications in production. Its core product approach is “one integration” for model usage and tracing: teams can send LLM traffic through Helicone (cloud or self-hosted) to gain request/session traces, cost and latency analytics, and workflow-level debugging, while also using Helicone’s gateway/routing layer to manage multi-provider usage and reliability concerns.

On March 3, 2026, Mintlify announced it acquired Helicone. Helicone subsequently moved into maintenance mode, continuing security updates, bug/performance fixes, and support for existing customers, while new signups were disabled. Mintlify positions the combined direction as a knowledge infrastructure layer for the agentic future, incorporating Helicone’s routing/observability with Mintlify’s AI knowledge products.

News

Company record

Mar 03, 2026 · Official · MintlifyMintlify acquires Helicone to redefine AI knowledge infrastructure

Mintlify announced it acquired Helicone (open source LLM observability platform and AI gateway). Mintlify stated Helicone’s team, including founders Justin Torre and Cole Gottdank, would join Mintlify and that Helicone would continue in maintenance mode while customers migrate.

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Mar 03, 2026 · Official · HeliconeHelicone is joining Mintlify (maintenance mode; services remain live)

Helicone’s team announced the acquisition by Mintlify and explained that Helicone’s services would remain live in maintenance mode (security updates, bug/performance fixes, new models), while it shared metrics accumulated during its operation.

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Jan 14, 2026 · Official · HeliconeMCPs: What, Why, and How

Helicone published a guide explaining Model Context Protocol (MCP) and how it standardizes model-to-tool/service interactions, with code examples for building agents around MCP.

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Nov 13, 2025 · Official · HeliconeOpenRouter Alternatives in 2025

Helicone published a comparative guide evaluating OpenRouter alternatives in 2025 and positioning Helicone AI Gateway as a multi-provider option with observability and 0% markup pricing claims.

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Sep 10, 2025 · Official · HeliconeThe Helicone AI Gateway, Now On The Cloud!

Helicone announced an AI Gateway “now on the cloud” update, describing an OpenAI-compatible gateway that routes to 100+ models and embeds observability by default.

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Jul 21, 2025 · Official · HeliconeWhat to Do When OpenRouter is Down?

Helicone published a migration-focused post arguing for running/controlling an AI gateway to handle provider outage and failover scenarios, with guidance for routing configuration and cost control via direct provider keys.

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Jun 24, 2025 · Official · HeliconeIntroducing the Helicone AI Gateway

Helicone announced the AI Gateway beta, describing a Rust-built gateway intended to switch between 100+ AI models and handle operational concerns like failovers, rate limiting, caching, and observability.

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May 05, 2025 · Official · HeliconeIntroducing Helicone Self-Hosting: All the LLM Observability You Love, Now Behind Your Firewall

Helicone announced simplified self-hosting for its observability platform using a Docker-based workflow intended to support security/compliance-oriented deployments.

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Show 3 earlier updates
Feb 19, 2025 · Official · HeliconeIntroducing Helicone V2: A Complete Development Lifecycle for LLM Applications

Helicone introduced a “development lifecycle” workflow for LLM apps (logging → evaluation → experiments → review → release) and described architectural changes meant to support high-scale ingestion and fast queries.

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Feb 19, 2025 · Official · HeliconeIntroducing Helicone V2: A Complete Development Lifecycle for LLM Applications (V2 workflow details)

Helicone detailed how Sessions, Experiments, and Evaluators fit into a feedback loop that uses production/history to reduce regressions when improving prompts.

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Sep 17, 2024 · Official · HeliconeWhat We've Shipped in the Past 6 Months

Helicone’s recap described new and improved features including Sessions, Prompt Management, Prompt Experiments, and Slack Alerts.

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Source map · 2 recurring channels · 60 references
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Still resolving: Newsroom · Official X

What it builds

Helicone AI Gateway

An OpenAI-compatible AI gateway that routes requests across 100+ models/providers and embeds observability by default, handling operational needs like failovers, rate limiting, caching, and traces.

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Helicone OSS (self-hosted LLM observability)

An Apache-licensed, self-hostable observability platform that logs and traces LLM interactions so teams can inspect sessions, track cost/latency, and debug production issues behind their own firewall.

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Sessions (request/workflow tracing)

A feature for capturing and grouping comprehensive LLM application context so teams can trace multi-step interactions and understand what happened in production.

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Prompt Management

A UI/workflow capability to manage and version prompts using production data, supporting collaboration and controlled prompt iteration.

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Experiments (prompt/evaluation workflow)

A workflow for tuning prompts by testing variations against historical conversations/datasets using evaluators, intended to reduce regression risk before deploying prompt changes.

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OpenTelemetry/export and integrations

Helicone integrates observability/export workflows (including OpenTelemetry concepts and integrations) so teams can connect Helicone’s traces/metrics to their broader observability stack.

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Milestones & partnerships