OSMP v1.0.1 - Cloudless Sky

[Holberg7]

OSMP (Octid Semantic Mesh Protocol) v1.0.1. Tier 1 developer experience, SALBridge propagation, SAIL binary wire codecs, SEC security envelope, Rule 8 regulatory dependency grammar, package split. Patent pending, priority date March 17, 2026. Apache 2.0 with express patent grant.

Developer Experience

• Tier 1 API across all three SDKs: from osmp import encode, decode (Python), import { encode, decode } (TypeScript), osmp.Encode() / osmp.Decode() (Go). Three lines, zero setup, zero dependencies.
• Package split: pip install osmp is the standalone SDK. pip install osmp-mcp is the MCP server. The SDK has zero dependencies beyond Python stdlib. MCP wraps the SDK, not the other way around.
• PyPI: osmp v2.0.1 (new package), osmp-mcp v1.0.26
• Tier 2 class-based API (from osmp.core import OSMP) for advanced configuration
• KNOWN-ISSUES.md documents platform-specific install notes (Termux, Raspberry Pi, constrained hardware)

SALBridge: Language Propagation by Contact

• SALBridge shipped in all three SDKs. OSMP spreads by contact, not installation.
• FNP state machine extended: IDLE, ADV_SENT, ESTABLISHED, SYNC_NEEDED, FALLBACK (non-OSMP peer), ACQUIRED (peer learned SAL through context exposure)
• Bridge annotates outbound SAL with natural language equivalents, seeding the remote agent's context window with SAL patterns
• Monitors inbound messages for valid SAL fragments. When the remote agent starts producing valid SAL (few-shot acquisition), transitions to ACQUIRED and sends pure SAL
• Regression detection: ACQUIRED peers that stop producing valid SAL drop back to FALLBACK
• Comparison logging: every bridged message records SAL bytes vs NL bytes for side-by-side measurement
• from osmp import bridge -- Python factory function for zero-setup bridge creation

Protocol

• Adaptive Shared Dictionary (ASD) v14: 342 opcodes across 26 namespaces (26 new opcodes in Autonomous Ops MDR extension, runtime-loaded)
• SAIL (Semantic Assembly Isomorphic Language): Binary wire encoding, isomorphic to SAL. Bijective 1:1 mapping. Compose and debug in SAL, deploy in SAIL, decompile back to SAL for inspection. Wire codecs shipped in all three SDKs.
• SEC Security Envelope: Node ID + monotonic sequence counter + AEAD tag + Ed25519 signature. 87 bytes fixed overhead. Mesh authentication with no certificate authority.
• Four-mode wire architecture: SAL/SAIL x Unsigned/SEC. BAEL selects automatically based on channel capacity and consequence class.
• Rule 8 -- Regulatory dependency grammar: REQUIRES rules as SAL expressions, evaluated within the SAL framework. Conjunctive prerequisites supported (A AND B OR C AND D). 27 rules in Autonomous Ops MDR corpus. Shipped in all three SDKs.
• Six-category glyph architecture, Overflow Protocol (OP), BAEL floor guarantee, FNP handshake, ADP dictionary synchronization, R:ESTOP hard exception, SAL Usage Doctrine v2.2 -- all unchanged from v1.0.0.

SDKs

• Python (reference implementation): CONFORMANT. pip install osmp
• TypeScript (npm: osmp-protocol): CONFORMANT. Tier 1 encode/decode added.
• Go (zero filesystem/network dependency): CONFORMANT. Package-level Encode/Decode with sync.Once singleton.
• Cross-SDK wire compatibility verified. SAIL round-trip verified on all 55 canonical test vectors.

MCP Server

• PyPI: pip install osmp-mcp (v1.0.26)
• MCP Registry: io.github.Octid-io/osmp
• 14 tools: encode, decode, compound_decode, lookup, validate, discover, resolve, batch_resolve, benchmark, bridge_register, bridge_send, bridge_receive, bridge_status, bridge_comparison
• All tool descriptions expanded with usage examples and parameter documentation
• Import path updated for package split with legacy fallback

Domain Corpora (Managed Dictionary Registry)

• ICD-10-CM: 74,719 clinical codes (477KB compressed)
• ISO 20022: 47,835 financial definitions (1.2MB compressed)
• MITRE ATT&CK Enterprise v18.1: 1,661 entries (20KB compressed)
• All three resolvable by all three SDKs without network access

Measured Performance (29-vector benchmark)

• 86.8% byte reduction vs minified JSON
• 84.5% byte reduction vs MessagePack
• 70.5% byte reduction vs compiled Protocol Buffers (protoc 3.21.12)
• 76.0% token reduction (GPT-4 cl100k_base)

Behavioral Compliance (cross-model)

• SAL: 88-95% compliance across Claude Sonnet 4, GPT-4o, GPT-4o-mini
• JSON: 85-90% at full wire cost
• Consequence class identification: 100% SAL vs 75% JSON across all models tested

Test Suite

• 212 tests passing (122 existing + 35 DX + 55 SAIL round-trip)
• DX tests cover: Tier 1 API, Tier 2 class API, MCP tool interface, SAIL round-trip on all 55 canonical vectors, consequence class preservation, compound operator preservation
• Bridge tests: FNP state transitions, annotation, acquisition, regression, comparison logging

Whitepaper

• SAL Efficiency Analysis v2.2: docs/SAL-efficiency-analysis.md
• Full methodology, .proto schemas, reproduction scripts in benchmarks/sal-vs-json/

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