Integrations / Langfuse
Langfuse
Langfuse LLM observability — pull per-trace spend, latency, and model usage via the Langfuse public API. Zero-code alternative to OTLP instrumentation for teams already tracing to Langfuse.
What Telara does
Capability matrix
Before you connect
Prerequisites
Vendor setup
Get the credential
In Telara
Connect in Telara
Langfuse public key and secret key (Project Settings → API Keys). Credentials are sent as HTTP Basic auth: username=public_key, password=secret_key. Available on all Langfuse plans including the self-hosted OSS edition.
In Telara, open Settings → Integrations, choose this connector, and paste the key into the fields Telara shows.
- Public Key
- Secret Key
Spend
What gets measured
Resolution: Per run.
Attribution: Matched to people by email.
How far back vendor history goes is not published uniformly for this connector.
- input_tokenstokens
- output_tokenstokens
- framework_runscount
Sync
Freshness & sync
Spend connectors refresh on the vendor pull cadence declared in the catalog. Indexing lag is not published for this connector.
Data handling
Permissions & data handling
Telara has not published a permission list for this connector yet. Treat the vendor consent screen as the source of truth until this page lists scopes.
This catalog entry does not declare extra semantic-search exclusions.
After connect
Verify it worked
After you save, Telara runs a read-only check against the account. The integration shows as connected when that check succeeds.
Honesty

