TruLayer
tracing, evals, and a control loop for production LLMs
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What is TruLayer?
TruLayer is a reliability platform for production AI agents that gives AI engineering teams real-time tracing, eval-rule-backed failure detection, and a closed control loop that retries, gates on human approval, and auto-rolls back when failures are detected. The platform ingests traces and spans that applications emit via their SDK, providing observability and remediation capabilities in one unified system.
Key features include real-time tracing of AI agent execution, 25 inline evaluators running on every span (checking faithfulness, hallucination, tool-call correctness), configurable retry budgets, HITL (human-in-the-loop) approval gates, auto-rollback capabilities when eval rules fire, tamper-evident audit logs with Ed25519 signatures, and an MCP server for querying traces and anomalies directly from Claude or IDEs. The platform follows an Observe → Eval → Remediate workflow in one closed loop.
TruLayer is designed for AI engineering teams building production AI agents, particularly those working with LLMs in high-stakes environments like fintech, customer service, and financial reporting. It serves companies that need to prevent AI-generated errors, hallucinations, and confident-but-wrong outputs that could cost jobs or damage business outcomes.
The platform helps teams detect when AI output drifts from grounding data, provides traces showing exactly where eval scores dropped, and enables remediation diffs to be tracked. It is especially valuable for teams shipping AI analyst agents, customer service bots, and any production AI system where errors have real business consequences.
TruLayer pricing
Pricing model: Freemium
TruLayer offers simple, usage-aligned pricing with a free tier included. The Starter (Free) plan includes up to 3 seats (raised from 1 to 3) and a monthly eval quota for experimentation. Paid plans are usage-based with an interactive cost calculator available on the pricing page to estimate monthly costs. Pricing scales with usage volume for teams deploying AI agents in production.
TruLayer pros
- Real-time tracing of AI agent execution spans
- 25 inline evaluators running on every span automatically
- Closed control loop with automatic remediation actions
- Auto-rollback capability when eval rules detect failures
- Configurable retry budgets for failed operations
- HITL (human-in-the-loop) approval gates for critical actions
- Eval-rule-backed failure detection with customizable thresholds
- Tamper-evident audit logs with Ed25519 cryptographic signatures
- Daily head-hash anchors stored in S3 Object Lock (WORM)
- MCP server for querying traces directly from Claude Code
- Python SDK for instrumenting AI applications easily
- Third-party auditor verification without pulling S3 artifacts
- Free tier available with starter plan for small teams
- Seat cap raised from 1 to 3 on free tier
- Monthly eval quota on free tier for experimentation
- Interactive monthly cost calculator for pricing estimation
- Trace visualization showing exactly where eval scores dropped
- Remediation diff tracking for failed operations
TruLayer cons
- Requires instrumenting applications with custom SDK
- Free tier limited to 3 seats maximum
- Monthly eval quota restricts production usage on free tier
- Primary SDK available for Python (limited language support)
- MCP server requires Claude Code setup for IDE integration
- Complex setup for audit log verification with third-party auditors
- Usage-based pricing may scale quickly for high-volume agents
- Focused specifically on AI agent reliability (narrow use case)
Frequently asked questions about TruLayer
What is TruLayer?
TruLayer is a reliability platform for production AI agents that provides real-time tracing, eval-rule-backed failure detection, and a closed control loop that retries, gates on human approval, and auto-rolls back when failures are detected. It helps AI engineering teams observe, evaluate, and remediate AI agent issues in one unified system.
How does the closed control loop work?
The Control Loop v0.1 ships a complete remediation cycle where eval-rule triggers detect failures, configurable retry budgets attempt automatic recovery, HITL approval gates route critical decisions to humans when needed, and auto-rollback actions revert problematic changes. ThisObserve → Eval → Remediate cycle happens automatically as traces arrive.
What evaluators does TruLayer run?
TruLayer runs 25 evaluators inline on every span, checking for faithfulness to source data, hallucination detection, and tool-call correctness. When a rule fires on a span where output drifts from grounding data, the control loop acts on the next run with retry, fallback, or human review.
Is there a free tier?
Yes, TruLayer offers a free Starter plan with up to 3 seats and a monthly eval quota. This allows teams to experiment with the platform before committing to paid usage-based pricing for production deployments.
How do I integrate TruLayer with my AI application?
You instrument your AI application using the Python SDK for sending traces to TruLayer AI. The SDK emits traces and spans that the platform ingests for real-time tracing, eval-rule processing, and closed loop remediation.
What is the MCP server feature?
The TruLayer MCP Server enables LLM observability in Claude and AI Agents. You can install the MCP server and Claude Code Skills to query traces, evals, and anomalies directly from your AI agent or IDE without leaving your development environment.
How are audit logs verified?
TruLayer writes a daily head-hash anchor for every tenant's audit log. The manifest is stored in S3 Object Lock (WORM) and signed with an Ed25519 key. The GET /v1/audit/verify endpoint returns a Postgres mirror of that anchor so third-party auditors can cross-check without pulling the S3 artifact on every query.
What happens when an eval rule detects a failure?
When an eval rule fires indicating output drift from grounding data, the control loop acts on the next run by retrying with corrected context, falling back to a stricter prompt, or routing to a human review queue. You get a trace showing exactly where the eval score dropped and what the remediation diff looked like.
Who is TruLayer designed for?
TruLayer is designed for AI engineering teams building production AI agents, particularly those working in high-stakes environments like fintech, customer service, and financial reporting where AI errors have real business consequences. It serves teams shipping AI analyst agents, customer service bots, and production AI systems.
How is pricing calculated?
TruLayer uses simple, usage-aligned pricing. The free tier includes 3 seats with monthly eval quota. Paid plans scale based on usage volume. An interactive cost calculator is available on the pricing page to estimate your monthly cost based expected usage patterns.