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TuringPulse

The control plane for AI agents

and more+

Four pillars of agent operations

Everything you need to run AI agents in production, with confidence.

Install the SDKAdd a decoratorYou're live

Evaluate

Understand every decision your agents make

Trace workflows, analyze quality, and understand why agents behave the way they do. From individual span-level inspection to workflow-wide comparisons.

TuringPulse — Trace Explorer
Evaluate — Trace Explorer

Trace Explorer

Replay every step of every agent execution

Full DAG visualization of agent workflows. Inspect every LLM call, tool invocation, and retriever query. Compare inputs, outputs, latency, and cost at every node.

Evaluations

Score agent outputs for quality and consistency

Run automated quality checks against custom rubrics. Track accuracy, relevance, factual grounding, and safety across thousands of runs. Compare scores across versions.

Metrics Explorer

Build custom KPI queries

Flexible query builder for any metric: latency p50/p95/p99, token usage, cost, error rates, custom business KPIs. Slice by workflow, agent, time range, or custom attributes.

Root Cause Analysis

Explain regressions and failures

Automatic correlation between config changes, prompt updates, and performance shifts. Identify the exact commit, parameter, or data change that caused a regression.

Govern

Enforce policies before damage is done

Set guardrails, enforce thresholds, and apply governance rules across your agent fleet. Compliance built into your operations, not bolted on.

TuringPulse — Policy Engine
Govern — Policy Engine

Policy Engine

Define rules agents must follow

Declarative policy rules evaluated at runtime via SDK integration. Block, flag, or route agent actions for human review when they violate governance policies. Supports 30+ condition types with tenant-level overrides.

Thresholds & Baselines

Set hard limits for acceptable behavior

Define static thresholds (cost > $X) and dynamic baselines (drift > 2 standard deviations). Rolling baseline computation from historical data with configurable warning and critical thresholds.

Pipeline Controls

Manage data flow into the platform

Rate limiting, tenant-scoped security enforcement, and format adapters for SDK, generic, and OpenTelemetry inputs. Quota management controls monthly trace limits per tenant.

Compliance Packs

Audit-ready governance templates

Pre-built compliance packs for HIPAA and GDPR with policy definitions and regulatory references. Apply packs to tenants to enforce compliance-aligned governance rules with enforcement logging.

Monitor

Catch problems before they escalate

Track KPIs, detect drift, catch anomalies, and alert the right people at the right time. See the pulse of every agent in your fleet.

TuringPulse — KPI Dashboards
Monitor — KPI Dashboards

KPI Dashboards

Real-time agent performance visibility

Configurable dashboards showing success rates, latency, cost, and custom business metrics. Historical trends, comparisons, and drill-downs. Per-workflow and per-agent views.

Drift Detection

Detect behavior shifts from baselines

Statistical monitoring of agent performance metrics. Detect performance drift and cost drift using z-score, percentage, and IQR methods. Configurable sensitivity with automatic baseline recalibration.

Anomaly Rules

Catch unexpected patterns early

Define custom anomaly rules using statistical thresholds, pattern matching, or composite multi-metric conditions. Automatic anomaly classification and severity scoring.

Alert Channels

Route alerts to the right people

Slack, PagerDuty, email, Microsoft Teams, and custom webhook integrations. Severity-based filtering and rate limiting per channel. Rich notifications with alert context and metrics.

Coordinate

Humans and agents, working together

Enable human review, track approvals, and maintain oversight across your organization. When automation meets accountability.

TuringPulse — Review Queue
Coordinate — Review Queue

Review Queue

Surface flagged decisions for approval

Priority-ranked queue of agent decisions requiring human review. Full context: trace, inputs, outputs, confidence scores, risk factors. Approve, reject, or modify with one click.

Policy Triggers

Automate when human review is required

Policy-based triggers that automatically route flagged decisions to reviewers. Configure conditions using 30+ rule types to determine when human oversight is needed. Role-based access controls for review permissions.

Governance Insights

Track approval patterns at scale

Dashboards showing approval rates, average review time, reviews by workflow, and enforcement statistics. Track policy enforcement outcomes and review patterns across your fleet.

Audit History

Track human and policy decisions

Timestamped record of human review decisions and policy enforcement outcomes. Track who reviewed what, when, and what action was taken. Audit logs for RBAC changes and system administration.

Works with your stack

LangChainLlamaIndexCrewAIOpenAI AgentsAutoGenSemantic KernelHaystackDSPyAnthropic SDKAny Python agent
LangChainLlamaIndexCrewAIOpenAI AgentsAutoGenSemantic KernelHaystackDSPyAnthropic SDKAny Python agent

See the heartbeat of every agent.

Ready to take control?

Integrate in under five minutes. No changes to your business logic.