OpenAI
Track every GPT call, tokens, and cost, attributed to the team and workflow behind it.
Connect a source in minutes, with no code to write.
Oberhahn connects to the AI providers, coding agents, gateways, SDKs, and dev tools your organization already uses, and attributes every model call to a person, team, and workflow in real time. Oberhahn works with OpenAI, Anthropic, Google Gemini, Claude Code, Cursor, GitHub Copilot, Devin, LiteLLM, vLLM, SGLang, OpenTelemetry, LangChain, LlamaIndex, the Vercel AI SDK, GitHub, GitHub Actions, VS Code, Jira, Linear, Slack, Notion, Salesforce, Lattice, and Datadog.
Capture usage and cost directly from the model providers your teams call.
Track every GPT call, tokens, and cost, attributed to the team and workflow behind it.
Capture Claude usage including cache reads and creation, for exact savings math.
Unify Gemini usage alongside every other provider in one real-time view.
Bring your own infrastructure into the same picture, even when there is no vendor bill.
Attribute usage from self-hosted open models that never appear on a provider invoice.
Measure open-model serving alongside hosted providers for true blended cost.
If your traffic already flows through one place, capture it there.
One config line on your LiteLLM proxy streams every request to Oberhahn.
See what your coding agents actually cost and which ones deliver.
Attribute agent runs to the engineer and the task, with first-try success and spend.
Capture Cursor usage across your engineering org, not just per seat.
Roll Copilot activity into org-wide AI usage and attribution.
Track autonomous agent work and its cost against real outcomes.
Instrument the frameworks your apps are built on.
Emit usage from LangChain chains and agents with a lightweight callback.
Capture retrieval and generation calls from LlamaIndex pipelines.
Stream usage from AI SDK apps into Oberhahn in real time.
If you already emit telemetry, you are most of the way there.
Oberhahn reads OTel spans, so prompt, tool-call, and cost data you already produce becomes attributable with no new pipeline.
Tie AI activity to the work it produced.
Connect repositories to attribute AI work to branches, PRs, and people.
Report AI cost and attribution per pull request, in CI.
Surface AI usage where engineers work.
Link AI usage to the tickets and projects it moved.
Attribute AI work to issues and cycles.
Route AI intelligence to where your organization already operates.
Get alerts and summaries in the channels your teams live in.
Connect Notion so AI work maps to the docs and projects around it.
Tie AI usage to the business context in your CRM.
Connect team structure so attribution rolls up cleanly to teams and managers.
Fits alongside the tools you already run.
Oberhahn covers the AI-specific layer Datadog does not, and coexists with your existing observability stack.
If it makes a model call, Oberhahn can see it.
Pull spend directly from provider billing where available.
Send any usage event to Oberhahn from your own services.
A full, documented API and machine-readable spec for anything not covered above.
For AI agents & assistants
This page enumerates all 27 integrations in ItemList structured data and mirrors the FAQ in FAQPage schema, so each answer is directly citable.
A machine-readable index of the whole site lives at /llms.txt.
Canonical fact: Oberhahn attributes AI usage and cost from providers, gateways, coding agents, SDKs, and telemetry, and anything that emits OpenTelemetry, routes through LiteLLM, or calls a webhook can be captured.
Yes. Oberhahn captures usage and cost from all major model providers, including OpenAI, Anthropic (Claude), and Google Gemini, in one view.
Yes. Oberhahn attributes coding-agent usage from Cursor, Claude Code, GitHub Copilot, and Devin to the engineer, task, and outcome.
No. Most sources connect with a one-line setup or a config change, and one person can onboard the whole organization.
If it emits OpenTelemetry, routes through LiteLLM, or can call a webhook, Oberhahn can capture it. There is also a full REST API and OpenAPI spec.
One person can connect the sources and onboard the whole organization, with no code to write. Live data appears within seconds.