Unified Cost Tracking Across OpenAI, Anthropic, and LangChain
One observability layer for the three integration paths almost every production stack uses.
Most production LLM stacks are not single-provider. A typical setup calls OpenAI for chat, Anthropic for long-context reasoning, and routes some workflows through LangChain. Fragmented per-provider dashboards make it hard to answer the basic question: which model is actually costing us money this week?
The AgentCost SDK now instruments all three paths through a single import. No wrappers, no decorators, no proxy URLs — lightweight interception attaches to the provider clients you already use and reports usage, tokens, and cost in a normalized schema.
Once events are flowing in, the dashboard surfaces per-model and per-agent breakdowns side by side, so model-routing decisions become a one-look exercise instead of a multi-tab spreadsheet.