Overview
TealTiger v1.1.0 is a foundational release focused on deterministic AI governance, policy enforcement, and auditability. This version establishes the core contract between TealTiger and its users:- What the system does
- What it guarantees
- What it explicitly does not do
Release Intent
The intent of v1.1.0 is to:- Establish a stable policy evaluation core
- Enable security, cost, and governance enforcement
- Provide enterprise‑grade audit evidence
- Remain SDK‑first and developer‑friendly
In‑Scope Capabilities
v1.1.0 includes the following capabilities.Policy Evaluation
- Deterministic condition → action evaluation
- Logical composition (
AND,OR,NOT) - Policy modes:
monitorenforce
Conditions and Actions
- Input, model, cost, risk, and execution context conditions
- Enforcement actions:
allowrestrictblock
- Transformation actions:
redactmask
- Cost control actions:
- token limits
- model switching
- Observability actions:
- logging
- metric emission
Risk Scoring
- Normalized risk scores (
0–100) - Domain scores:
- security
- cost
- governance
- reliability
- Composite risk evaluation
- Policy‑driven risk thresholds
Reason Codes
- Stable, machine‑readable identifiers
- Multiple reason codes per decision
- Domain‑based taxonomy
- Audit‑safe and automation‑friendly
Cost Metadata
- Token usage (input / output / total)
- Estimated vs actual cost
- Model and provider attribution
- Budget and quota context
- Cost attribution (service, agent, environment)
Audit and Telemetry
- Structured audit events
- Audit event schema v1.1.0
- Policy decision events
- Action execution events
- Correlation identifiers
- Redaction metadata
Logging Behavior
- Structured logging
- Policy‑aware logging
- Safe‑by‑default (metadata‑only)
- Deterministic redaction behavior
Execution Identity (Foundational)
- Actor identity (user / service / agent)
- Environment context
- Deployment metadata
- Attribution for audit and cost events
Explicitly Out of Scope
The following are intentionally excluded from v1.1.0.- Autonomous agent orchestration
- Agent planning or reasoning loops
- Runtime policy mutation or learning
- Advanced model governance (fairness, drift, provenance)
- Deep content logging by default
- Hardened multi‑tenant isolation
- Automated GRC or compliance reporting
- Performance or latency SLAs
Stability Guarantees
Within the v1.1.x line, TealTiger guarantees:- Deterministic policy evaluation
- Stable condition and action semantics
- Stable risk score ranges and meaning
- Stable reason code identifiers
- Backward‑compatible audit schemas
- Non‑breaking SDK behavior
Compatibility Contract
TealTiger follows semantic versioning.-
Patch (v1.1.x)
Bug fixes only, no breaking changes -
Minor (v1.x)
Additive, backward‑compatible changes -
Major (v2.0+)
Breaking changes allowed with migration guidance
Audit Defensibility
v1.1.0 guarantees that:- Policy decisions are reproducible
- Inputs to decisions are traceable
- Enforcement outcomes are explainable
- Risk and cost signals are attributable
- Historical decisions remain defensible
Non‑Goals
v1.1.0 does not attempt to:- Replace application logic
- Act as an AI runtime or agent framework
- Automatically remediate unsafe behavior
- Optimize business outcomes autonomously
Forward Compatibility
v1.1.0 intentionally lays the groundwork for:- v1.2.x — governance expansion
- v1.3.x — advanced cost, reliability, and agent governance
- Runtime and platform layers beyond SDK‑only usage
Release Status
v1.1.0 is frozen. All changes beyond this point must:- Be backward compatible, or
- Target a future version explicitly

