Machine Intelligence Runtime Implementation Guides
A guide map for building lifecycle, adapters, tools, context, recovery, evidence, testing, teleodynamic extensions, and operations around model proposals.
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Machine Intelligence Runtime Quickstart
A coherent conceptual C# quickstart for a reversible dependency-update run with lifecycle state, policy, checkpoint, tool execution, tests, and evidence.
Open resultRun Lifecycle State Machine
Explicit run states, transition actors, invariants, optimistic concurrency, idempotency, stale-worker handling, and provider-independent persistence.
Open resultModel Adapters for Machine Intelligence Runtime
A provider-neutral model boundary for capabilities, streaming, usage, placement, safe retries, normalized errors, and deterministic fake adapters.
Open resultTool Connectors and Runtime Policy
Stable tool identity, action envelopes, policy outcomes, credential isolation, MCP boundaries, approvals, and conceptual C# ports.
Open resultMemory, Context, and Lineage for MIR
Attributable context packages, governed memory records, assembly sequence, contamination controls, lineage, and provider-neutral C# ports.
Open resultDurable Execution and Recovery for MIR
Durable workflow styles, event resumption, retries, checkpoints, rerouting, compensation, idempotency, and conceptual recovery ports.
Open resultObservability and Evidence for AI Runtimes
Distinguish operational telemetry from reviewer-facing evidence, define correlation identities and event requirements, redact sensitive data, and map to OpenTelemetry.
Open resultTesting Machine Intelligence Runtimes
A testing model for deterministic contracts, stochastic behavior, security, recovery, evidence, load, deployment, repeated trials, and fault injection.
Open resultTeleodynamic Runtime Profile
An optional research-only extension profile for bounded goal systems, viability metrics, reflection policy, structural-edit proposals, and immutable constraints.
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