Document all 5 test fixes for v3.0.0

Fix Issue 1: Make Trajectory None guards thorough (matching SRE patch quality)

Upload build_and_publish.py

Upload run_all_tests.sh

v3.0.0 — update version from 3.0.0a1 to 3.0.0

v3.0.0 — update version from 3.0.0a1 to 3.0.0

SRE: regression test for all 5 vulnerability patches

SRE: auto-apply patches on import (add sre_patches import to __init__)

SRE fixes: 5 critical vulnerability patches (dict snapshot, UNKNOWN reject, token cap, fine-grained lock, None guard)

harden: tests for null safety, timeouts, validation, graceful degradation

harden: defensive core — null safety, timeouts, graceful degradation, domain-agnostic

gradual-adoption: export state_delta, falsification_critic, sandbox_hooks from __init__

gradual-adoption: wire state_delta + falsification_critic into Orchestrator (backward-compat)

first-principles: tests for state-delta, falsification critic, sandbox hooks

first-principles: sandbox_hooks.py — PEP 578 kernel-level audit hooks (unbypassable)

first-principles: falsification_critic.py — Popperian scoring by adversarial assertions

first-principles: state_delta.py — O(1) Markovian critic (no history needed)

Sprint 12: CHANGELOG.md + v3 migration guide

Sprint 11: benchmark_v3.py — robustness + competitor-style benchmark suite

Track D tests: fingerprint, dataset, prompt_pack, shadow_eval, optimizer, distillation

Sprint 10C: lora_plan.py + distill.py — adapter/distillation planning (dry-run, no GPU required)

Sprint 10B: optimizer.py — agentic decision policy (improving/plateau/degrading/rollback)

Sprint 10A: shadow_eval.py — compare candidate vs baseline safely

Sprint 9C: prompt_pack.py — epigenetic optimization (prompts before weights)

Sprint 9B: dataset.py — trace → filtered training dataset builder

Sprint 9A: fingerprint.py — capability fingerprint from execution traces

Sprint 9-10: optimization package init

Sprint 5-7 tests: routing, MAS generator, skills

Sprint 7: skills/ci.py — skill testing, promotion, rollback, immune scan

Sprint 7: skills/schema.py — SkillCard + SkillGenome with versioning

Sprint 7: skills package — SkillCard schema, runtime, CI, export

Sprint 6: mas_generator.py — use-case → generated multi-agent system

Sprint 5: routing.py — LLMCallRouter, ModelSelector, cost homeostasis

Sprint 4+8: protocol and quorum tests

Sprint 8: quorum.py — consensus/disagreement topology switches + critic ensemble

Sprint 4D: AGENTS.md parser

Sprint 4C: AG-UI adapter — PAEvent to frontend stream + SSE helper

Sprint 4B: A2A — AgentCard, A2AClient for agent-to-agent delegation

Sprint 4A: MCP bridge — discover, validate, call remote tools via MCP

Sprint 4: protocols package init

Sprint 3: memory homeostasis tests (T3.1-T3.5)

Sprint 3: memory_homeostasis.py — budget, archive, consolidation, Q-retriever

Sprint 2: update runtime __init__ with checkpoint + state exports

Sprint 2: durable execution tests (T2.1-T2.5)

Sprint 2: checkpoint.py — Checkpointer protocol + InMemory/JSONL/SQLite implementations

Sprint 2: runtime/state.py — typed RunState for durable execution

v3.0.0a1: bump pyproject.toml version

v3.0.0a1: add runtime event system exports, bump version

Sprint 1: event runtime tests (T1.1-T1.7)

Sprint 1: streaming_v3 — AG-UI compatible adapter + legacy bridge