LLMPACK / MODEL OPERATIONS SYSTEM

Package intelligence.
Deploy with confidence.

Version prompts, models, agents, and evaluations as deployable systems. LLMpack gives AI teams one control plane for quality, routing, observability, and production release.

Explore platform →
MODEL REGISTRY EVAL GATES AGENT RUNTIME TRACE MONITORING
Prompt Registry Model Router Eval Suite Agent Runtime Deployment Observability LLM
READY PASS 98.4% LATENCY 142ms
$ eval.run
✓ eval.run completed
✓ deployment promoted → production
→ drift monitor active_
FIG. 01 — MODEL CONTROL PLANE

Built for teams shipping intelligence to production.

01 / PLATFORM
One control layer for the entire LLM lifecycle.

From experimentation to production, LLMpack connects every critical system involved in shipping intelligent applications.

02 / WORKFLOW
Move from prototype to production in four controlled steps.
03 / CONTROL PLANE
Everything your models do, visible in one place.
Overview
Packages
Models
Agents
Evaluations
Deployments
Traces
Usage
Settings
Quality drift detected in customer-support-agent
04 / SYSTEMS
05 / DEVELOPERS
Designed for the way AI teams actually build.
$ llmpack init customer-agent
✓ package created
$ llmpack eval run --suite production
✓ accuracy 94.8
✓ safety passed
✓ latency within target
$ llmpack deploy promote production
✓ deployment live
→ tracing enabled
SDKs for TypeScript and Python
REST API and webhook support
GitHub Actions integration
Environment-based deployment
Model provider abstraction
Structured logs and traces

  
06 / EVALUATIONS
Measure intelligence before you ship it.
FIG. 06 — PACKAGE PERFORMANCE ACROSS DEPLOYMENT CANDIDATES
PackageReasoningTool UseSafetyLatencyCostStatus
Pack-A / GPT-compat92.194.3PASS198ms$0.008READY
Pack-B / Open ckpt88.791.0PASS124ms$0.003READY
Pack-C / Fine-tuned95.497.1PASS142ms$0.005PROMOTE
ReasoningTool useRetrievalSafetyStructured output
07 / CONNECT
Fits into your existing AI stack.

Works with tools your team already uses.

08 / ENTERPRISE
Control intelligence with enterprise-grade governance.

Deploy LLMpack in your cloud, connect private model endpoints, and apply organization-wide release controls.

Compliance and certification details available upon request.

09 / TEAMS
Built for teams that cannot afford unreliable AI.
10 / PRICING
Start small. Scale into production.

Usage-based model and compute costs may apply.

FAQ
Frequently asked questions.
READY / DEPLOY
Your models deserve a production system.

Package, evaluate, and deploy intelligent applications through one reliable control layer.