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Telara

AI Platforms

Connect your AI platforms

Telara pulls usage and cost data from the AI tools your team already uses — or receives it directly from agents as they run. Once connected, every model call is costed, attributed to a person, and visible in AI Spend Governance.

How it works

Three ways data arrives

Usage pull

Telara calls the platform's admin API on a schedule and pulls usage and cost reports. You paste one API key; Telara does the rest.

Cursor · Anthropic · OpenAI · Copilot · Devin · LangSmith
Agent telemetry push

Agents emit OpenTelemetry spans directly to Telara as they run — giving true per-run data with latency and success, not just buckets.

Claude Code · Cline · LangChain · CrewAI · AutoGen · OpenAI Agents
Shadow-AI discovery

Telara reads IdP audit logs (e.g. Okta sign-in events) to surface AI tools your team is using that aren't formally connected yet.

Okta · Azure AD

Platforms

Supported platforms

Platform
Data granularity
Lane
Cursor
Per-request
Pull
Claude Code
Per-run
Push
GitHub Copilot
Daily per-user
Pull
Anthropic
Hourly buckets
Pull
OpenAI Admin
Daily per-user
Pull
Devin
Per-session
Pull
LangSmith
Per-run
Pull
LangChain & Frameworks
Per-run
Push
GitLab Duo
Daily per-user
Pull
Windsurf
Per-user daily
Pull

Granularity is what the platform's API actually exposes — Telara surfaces it honestly. Per-run is the most useful; daily buckets are useful for trend and cost reporting.

Connect in the dashboard

Go to Governance → Connect to paste API keys and activate each platform. The setup instructions on each page below match the form in the dashboard exactly.