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Fix model resolution bug for non-Ollama models in easy API (v3.0.1)
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v3.0.0 Production Release: Hardened framework, strict tool validation, test suite robustification
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Fix Issue 1: Make Trajectory None guards thorough (matching SRE patch quality)
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v3.0.0 — update version from 3.0.0a1 to 3.0.0
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SRE: auto-apply patches on import (add sre_patches import to __init__)
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SRE fixes: 5 critical vulnerability patches (dict snapshot, UNKNOWN reject, token cap, fine-grained lock, None guard)
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harden: defensive core — null safety, timeouts, graceful degradation, domain-agnostic
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gradual-adoption: export state_delta, falsification_critic, sandbox_hooks from __init__
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gradual-adoption: wire state_delta + falsification_critic into Orchestrator (backward-compat)
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first-principles: sandbox_hooks.py — PEP 578 kernel-level audit hooks (unbypassable)
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first-principles: falsification_critic.py — Popperian scoring by adversarial assertions
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first-principles: state_delta.py — O(1) Markovian critic (no history needed)
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Sprint 11: benchmark_v3.py — robustness + competitor-style benchmark suite
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Sprint 10C: lora_plan.py + distill.py — adapter/distillation planning (dry-run, no GPU required)
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Sprint 10B: optimizer.py — agentic decision policy (improving/plateau/degrading/rollback)
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Sprint 10A: shadow_eval.py — compare candidate vs baseline safely
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Sprint 9C: prompt_pack.py — epigenetic optimization (prompts before weights)
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Sprint 9B: dataset.py — trace → filtered training dataset builder
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Sprint 9A: fingerprint.py — capability fingerprint from execution traces
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Sprint 9-10: optimization package init
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Sprint 7: skills/ci.py — skill testing, promotion, rollback, immune scan
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Sprint 7: skills/schema.py — SkillCard + SkillGenome with versioning
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Sprint 7: skills package — SkillCard schema, runtime, CI, export
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Sprint 6: mas_generator.py — use-case → generated multi-agent system
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Sprint 5: routing.py — LLMCallRouter, ModelSelector, cost homeostasis
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Sprint 8: quorum.py — consensus/disagreement topology switches + critic ensemble
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Sprint 4D: AGENTS.md parser
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Sprint 4C: AG-UI adapter — PAEvent to frontend stream + SSE helper
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Sprint 4B: A2A — AgentCard, A2AClient for agent-to-agent delegation
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Sprint 4A: MCP bridge — discover, validate, call remote tools via MCP
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Sprint 4: protocols package init
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Sprint 3: memory_homeostasis.py — budget, archive, consolidation, Q-retriever
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Sprint 2: update runtime __init__ with checkpoint + state exports
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Sprint 2: checkpoint.py — Checkpointer protocol + InMemory/JSONL/SQLite implementations
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Sprint 2: runtime/state.py — typed RunState for durable execution
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v3.0.0a1: add runtime event system exports, bump version
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Sprint 1: streaming_v3 — AG-UI compatible adapter + legacy bridge
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Sprint 1: EventBus — async pub/sub with backpressure, replay, lane isolation
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Sprint 1: canonical event schema (PAEvent, EventKind, Visibility)
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Sprint 1: runtime package init
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v2.1.1: sync version with PyPI
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v2.1.0: creative names (Spark/Flow/swarm/Council/Vault) + prod test 19/19 pass
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v2.1.0: creative names (Spark/Flow/swarm/Council/Vault) + prod test 19/19 pass
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Track 4: breakthroughs + TOML prompts — purpose_agent/breakthroughs.py
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Track 3: TOML prompts + PURPOSE_LEARNING.md whitepaper — purpose_agent/purpose_function.py
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Track 3: TOML prompts + PURPOSE_LEARNING.md whitepaper — purpose_agent/actor.py
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Track 3: TOML prompts + PURPOSE_LEARNING.md whitepaper — purpose_agent/robust_parser.py
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fix: universal parsing + OpenRouter + state bug — purpose_agent/orchestrator.py
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fix: universal parsing + OpenRouter + state bug — purpose_agent/optimizer.py
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fix: universal parsing + OpenRouter + state bug — purpose_agent/purpose_function.py
