SANDBASE · AGENT RUN MONITORING

Trace, debug, and improvereliable Agents.

Agent observability for real business operations. Inspect triggers, model and tool calls, delivery results, failures, and cost in one place.

Inspect the latest runsandbase runs inspect --latest

Complete run evidence for Agents delivering real work

RUN STATUSRunning, queued, completed, and failed
EXECUTION TRACEModels, tools, retries, and latency
DELIVERY PROOFResult, destination, and delivery state
OPERATING LOOPMove from evidence back to configuration

01 · THREE CORE CAPABILITIES

Turn every runinto inspectable execution evidence.

Follow models, tools, and actions across the timeline. Select any event to inspect its inputs, outputs, latency, cost, and failures.

Session replay
ToolErrorModelAction
ToolResearch Agent
Input

Web Search

Search 24 market-intelligence sources.

Timing
19.4s – 22.8s
Duration
3.38 sec
Cost
$0.00011

NATIVE FRAMEWORK INTEGRATIONS

One SDK. Many Agent frameworks.

Keep your existing Agents. Add the SandBase SDK once to collect run traces, evaluation results, and monitoring data in one place.

OpenAIAgents SDK
AutoGenMicrosoft
CAMEL-AIMulti-Agent Framework
C
CrewAIAgent Platform
L
LlamaIndexAgent Workflows
LangChainAgent Framework
SandBase
Analytics
Evals
Monitoring

CROSS-AGENT COST VISIBILITY

Track spendingacross every Agent and model.

Align tokens, model pricing, and Agent ownership for every call to reveal cost growth and optimization opportunities.

Current AgentSupport Triage
This week$1.44
GPT-5.6 Sol$0.79Total cost
Input cost
$0.59
Output cost
$0.20
Support Triage
Base version$1.44
Optimized version$0.39
Token usage

Inspect input and output tokens by Agent, model, and run.

$
Cost attribution

Attribute live model prices to the exact Agent, task, and run.

Optimization opportunities

Compare base and optimized versions to find savings without sacrificing delivery quality.

03 · RUN & IMPROVENEXT BEST STEP

Feed run evidence into the next Agent version.

Use real outcomes to refine models, services, instructions, policies, or schedules, then validate again.