AI operations need a shared language.

The vendor-neutral contract for runs, steps, model/tool calls, evaluations, and incidents — the shared vocabulary every tool on this page implements, not an SDK or a runtime itself.

What it defines

• Runs, steps & incidents schema
• Model & tool call vocabulary
• Evaluation & safety signals
• JSON Schema artifacts, v0.1–v0.4

• schema_valid
• semantic_valid
• aligned: true

Conformance check example: schema valid, semantic valid, aligned true.

One shared contract every framework below can validate against.

OpenTelemetry-native observability for production AI: ingest OTLP traces, track cost and latency per run, and surface evidence-backed findings for where to cut waste.

Capabilities

• OTLP trace ingestion
• Cost & token tracking
• Latency (p50/p95) breakdown
• Built-in evaluation engine
• Pass/fail release gates
• Cost-cutting recommendations

Cost per run trending down across five recent runs, from $0.087 to $0.041, alongside six optimization findings.

Cost trending down over five runs after acting on its own findings.

Framework-agnostic scoring for any trace-shaped run — deterministic checks, rubric scorers, and LLM-as-judge evaluators, wired into a pass/fail gate you drop into CI.

Capabilities

• Deterministic scorers (exact/regex/JSON diff)
• 10 built-in LLM-judge rubrics
• Trajectory & tool-call scorers
• One-line Eval() quickstart API
• Declarative TestSuite/TestCase API
• CI release gate + CLI

• trajectory-quality ≥ 0.850.91
• cost-per-run ≤ $0.05$0.031
• hallucination-rate ≤ 2%1.8%

Release gate: trajectory quality 0.91 passes an 0.85 threshold, cost per run $0.031 passes a $0.05 cap, hallucination rate 1.8% sits inside a 2% warning band.

Three thresholds, one CI gate — the merge blocks until every run clears them.

Fault injection and topology-aware drift testing across agent frameworks — provider failures, corrupted outputs, and tool errors, forced before production does it for you.

Capabilities

• Timeout & rate-limit injection
• Silent output corruption
• Tool & memory faults
• Topology-aware drift detection
• LangGraph fault wrapper
• Standalone JSON chaos report

• Recovered · 68%
• Degraded · 22%
• Failed · 10%

Outcome of 120 injected faults: 68% recovered, 22% degraded, 10% failed.

One in ten injected faults broke the agent outright — before a user hit it.

A real-time Decision Gate that watches an agent's next action against its declared intent — catching moves that are technically permitted but contextually wrong, not just disallowed content.

Capabilities

• Real-time Decision Gate
• Policy Advisor + Risk Evaluator
• Intent Guardian (drift detection)
• Allow / Warn / Block outcomes
• Observe mode & Govern mode
• LangGraph adapter

• Allow · 462
• Warn · 29
• Block · 9

Decision Gate outcomes across 500 actions: 462 allowed, 29 warned, 9 blocked as out of scope.

Escalating intervention, not a failure rate — a block is the Sidecar working.

The fleet-wide registry and control plane: which agents exist, what's installed, which framework they run on, and what needs attention right now.

Capabilities today

• In-memory agent registry
• Capability discovery
• Heartbeat-based health
• Optional HTTP API & CLI

• Healthy · 41
• Degraded · 5
• Unhealthy · 2

Fleet status across 48 registered agents: 41 healthy, 5 degraded, 2 unhealthy.

One registry for every agent's runtime, framework, and capability versions.

A unified MCP interface over the shared model — exposing AgenticLens, Agentic Chaos, Agentic Sidecar, and Spec validation as one set of tools any MCP client can call.

Capabilities

• 14 callable tools
• Wraps Lens, Chaos, Sidecar & Spec
• 2 shared resources
• 3 prompt templates
• stdio transport, session state
• One identity for any MCP client

14 tools exposed, 1,284 calls routed today, 4 of 5 sibling adapters connected.

One MCP-native surface over every framework above, degrading honestly when one's missing.