PRODUCT CAPABILITY

AI Cost Intelligence for Agents and LLM Workflows

Attribute token and model costs to agents, users, workflows, tools, teams, and outcomes before spend becomes a surprise.
OpenAIAnthropicClaude CodeCustom providers
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Cost Attribution
Cost AttributionToken and model spend attributed to agents, workflows, sessions, and outcomes
spend +38% · traffic +20%
$3,412spend today
$0.19per session
31%of spend from 8% of sessions
retriestop cost driver
checkout-agent$1,412
support-agent$806
retrieval$514
eval runs$310
checkout-agent spike traced to a tool retry loop — affected sessions also complete 9% fewer tasks
Pain

What breaks without it

LLM spend is hard to control when costs are only visible by provider, not by workflow, customer, tool, team, or business outcome.

AnoSys Answer

Operational intelligence with evidence

AnoSys connects token usage, model calls, retries, escalations, latency, and business context so teams can see which behavior changed spend before changing prompts, models, or routing logic.

How It Works

Move cost analysis from provider invoices to the agent, tool, workflow, user, and outcome that created the spend.

01

Measure

Capture token usage, model calls, retries, cache behavior, latency, and provider cost.

02

Attribute

Tie spend to agents, workflows, tools, customers, teams, releases, and business outcomes.

03

Detect

Find escalation loops, expensive prompts, inefficient tools, and model choices that changed spend.

04

Optimize

Prioritize changes that reduce cost while preserving quality, latency, and conversion outcomes.

Key Capabilities

What teams can do

  • Attribute cost to sessions, agents, models, tools, users, workflows, and teams
  • Detect retry loops, escalations, high-latency calls, and inefficient prompts
  • Compare cost against quality, customer value, and business KPIs
  • Route cost anomalies to the owners who can fix them
Relevant Docs

Build from here

Cost Intelligence Custom Dashboards Alerts Agent Tracing
Related reading
How to attribute LLM cost to agents, users, and workflows How to reduce LLM costs with end-to-end observability
FAQ

Can AnoSys show which workflow is driving spend?

Yes. AnoSys can attribute model and token costs to workflows, agents, tools, teams, users, and outcomes.

Can cost be linked to quality?

Yes. Cost signals can be correlated with eval scores, latency, user behavior, and business KPIs.

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