Observability & traceability
Apache-2.0 gateway and observability service that proxies LLM requests and logs them for inspection, with model routing across many providers. Capture is request/response oriented rather than agent-span oriented, and the pages reviewed document no RBAC, retention or redaction controls despite claiming SOC 2 and GDPR compliance.
hybrid · generally available · Research snapshot 2026-09-06
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Useful conversation with: AI engineer, Platform engineer.
Show me the logged request and response for a specific model call routed through the gateway, and what data I can export via the API.
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Documented by provider
Helicone's AI Gateway automatically logs LLM requests, which appear in the Requests tab within seconds, and provides access to 100+ models across providers including OpenAI, Anthropic, Google Vertex and Groq through an OpenAI-compatible endpoint.
Limit: The quickstart documents no LLM spans, tool calls, multi-agent handoffs, dataset scoring or evaluation features.
Vendor claim
The repository states Helicone is an open-source LLM observability platform licensed under Apache v2.0, references SOC 2 and GDPR compliance, and documents data export via API and access via an MCP server.
Limit: Compliance is asserted on the repository page without linked attestations; no RBAC, SSO, retention or PII redaction features are stated.
Listing does not imply partnership, supplier status, a working DutyGraph integration, or a compliance certification.
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