Overview
Research summary
Helicone combines LLM observability with an AI gateway that routes model requests and records their behavior. Teams can inspect request logs, agent traces, token usage, latency and cost, then use datasets and experiments to investigate changes. Gateway capabilities include provider routing and automatic fallbacks, while integrations offer alternatives for applications that already call providers directly.
The main TypeScript repository is Apache-2.0 licensed and supports self-hosting; Helicone also offers a managed service. Its combination of traffic routing and request analytics distinguishes it from evaluation libraries that only run offline test suites.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Helicone.
Implementation details
TypeScript gateway and web platform with SDK and proxy integrations.
- Languages
- TypeScript
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://www.helicone.ai Project page · Research reference
- https://github.com/Helicone/helicone Linked repository · Research reference
- https://github.com/Helicone/helicone/blob/main/docs/docs.json Research reference
- https://www.helicone.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06
Community & social 3 channels
Communities
- Discorddiscord.com/invite/zsSTcH2qhGOfficialDiscussionSupport
Social & updates
- Xx.com/helicone_aiOfficial
- LinkedInwww.linkedin.com/company/heliconeOfficial