feat: implement full production subnet build (all 13 phases)#1
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Upgrade MVP to production-ready Bittensor subnet with real miner/validator neurons, formal verification, embedding plagiarism detection, persistent state, API gateway, monitoring, security hardening, Docker deployment, and CI/CD pipelines. All 191 tests passing. Phase 1: Bittensor protocol layer (Synapse definitions, BaseNeuron, config) Phase 2: Real miner neuron with 4 LLM backends (OpenAI, Anthropic, local, agent) Phase 3: Real validator neuron with scoring pipeline and on-chain weight setting Phase 4: Formal verification backends (Lean4, code sandbox, SymPy, fact checker) Phase 5: Embedding-based plagiarism detection (sentence-transformer cosine similarity) Phase 6: Benchmark database with 90+ tasks across 6 domains Phase 7: SQLite persistent state with checkpoints and migrations Phase 8: FastAPI gateway with auth, billing, and rate limiting Phase 9: Prometheus metrics, structured logging, Grafana dashboards Phase 10: Security hardening (input sanitizer, rate guard, anomaly detection) Phase 11: Docker deployment (4 Dockerfiles, 3 compose files, deployment scripts) Phase 12: CI/CD (GitHub Actions for test, lint, Docker build) Phase 13: Configuration files (.env.example, min_compute.yml, requirements)
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- Fix 8 ruff errors: unused variables, unused imports (noqa for availability checks) - Fix 30 mypy errors across 13 files: - Add Optional[] for parameters with None defaults (PEP 484 no_implicit_optional) - Restructure protocol.py SynapseBase shim to avoid no-redef errors - Use typing.Callable instead of builtin callable in health.py - Add type annotations for untyped variables (billing.py, task_manager.py, reasoning.py) - Use Any typing for lazy-loaded model attributes (local_backend.py, agent_backend.py) - Fix variable reuse across different types in task_generator.py - All 191 tests passing, ruff clean, mypy clean
…rations)
The state module was referenced by tests/test_state.py but never committed
due to a .gitignore rule ('state/') matching 'reasonforge/state/'.
Creates:
- reasonforge/state/database.py: SQLite-backed StateDatabase for epoch data,
task results, submissions, checkpoints, and API keys
- reasonforge/state/checkpoint.py: CheckpointManager for save/restore
- reasonforge/state/migrations.py: Versioned MigrationManager
- reasonforge/state/__init__.py: Package exports
Also fixes .gitignore to only ignore top-level state/ directory.
All 191 tests pass, ruff clean, mypy clean.
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Upgrade MVP to production-ready Bittensor subnet with real miner/validator neurons, formal verification, embedding plagiarism detection, persistent state, API gateway, monitoring, security hardening, Docker deployment, and CI/CD pipelines. All 191 tests passing.
Phase 1: Bittensor protocol layer (Synapse definitions, BaseNeuron, config)
Phase 2: Real miner neuron with 4 LLM backends (OpenAI, Anthropic, local, agent)
Phase 3: Real validator neuron with scoring pipeline and on-chain weight setting
Phase 4: Formal verification backends (Lean4, code sandbox, SymPy, fact checker)
Phase 5: Embedding-based plagiarism detection (sentence-transformer cosine similarity)
Phase 6: Benchmark database with 90+ tasks across 6 domains
Phase 7: SQLite persistent state with checkpoints and migrations
Phase 8: FastAPI gateway with auth, billing, and rate limiting
Phase 9: Prometheus metrics, structured logging, Grafana dashboards
Phase 10: Security hardening (input sanitizer, rate guard, anomaly detection)
Phase 11: Docker deployment (4 Dockerfiles, 3 compose files, deployment scripts)
Phase 12: CI/CD (GitHub Actions for test, lint, Docker build)
Phase 13: Configuration files (.env.example, min_compute.yml, requirements)