build(agent): new-agents#a6e6ec iteration

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# ExProve SWARM Guidelines
# ExProve Agent Guidelines
Architecture overview
- Canonical primitives form the Covariant IR for cross-venue execution provenance:
- LocalExecutionTask: per-instrument, per-venue planning unit
- SharedMarketContext: privacy-safe, versioned market signals
Architecture
- Core primitives:
- LocalExecutionTask: per-instrument, per-venue execution task
- SharedMarketContext: versioned market signals across venues
- PlanDelta: incremental routing/size/timing decisions with metadata
- Attestation/AuditLog: cryptographic attestations and append-only logs
- Graph-of-Contracts: adapters and data-contract schemas
- Edge-native solver: lightweight optimizer co-located with venue data to produce PlanDelta
- Delta-sync with deterministic replay for offline backtesting and regulatory review
- Governance ledger: cryptographic signing, policy hooks, optional cloud anchoring
- Adapters marketplace: plug-in venue adapters translating venue data into canonical IR
- Attestation/AuditLog: cryptographic attestations and an append-only log
- Graph-of-Contracts: registry for adapters and data contracts
MVP plan (812 weeks)
- Phase 0: Skeleton protocol, 2 starter adapters, toy objective (VWAP-like), deterministic delta-sync
- Phase 1: Governance scaffolding, identity management, secure aggregation for SharedMarketContext
- Phase 2: Cross-venue demo in simulated env; publish ExProve SDK and minimal contract example
- Phase 3: Backtesting harness and deterministic replay; compliance-report generator
Development workflow
- Use Python as the MVP language for the core primitives.
- Tests live under tests/ and are executed via test.sh.
- Packaging uses pyproject.toml with a standard build-system block.
Deliverables
- Core data contracts: LocalExecutionTask, SharedMarketContext, PlanDelta, Attestation, AuditLog, Graph-of-Contracts
- Toy adapters (2 starters) and conformance harness
- Seed DSL for LocalExecutionTask/SharedMarketContext/PlanDelta
- Reference ExProve SDK (Python/C++ bindings) and transport layer
Validation
- Ensure test.sh runs: pytest and python3 -m build (to validate packaging).
- Maintain deterministic behavior for replayability in tests where applicable.
Testing and QA
- Lightweight conformance harness and toy adapters (end-to-end replay tests)
- Deterministic tests for PlanDelta generation
- Audit-ready logs and crypto tagging (signatures stubs for MVP)
Contribution
- Add small, well-scoped changes. Update tests accordingly.
- Document public API in README.md and inline comments where necessary.
Repository rules
- Use Python for core MVP; keep dependencies minimal
- Add test.sh that builds and runs tests; ensure python packaging compiles
- If you add external dependencies, update pyproject.toml and keep tests deterministic
Contributing
- Follow the existing coding style in this repo; keep changes minimal and well-scoped
- Add tests for any bug fixes or new primitives
- Update README with usage notes and contributor guidelines
This file documents the architectural rules and contribution guidelines for ExProve in this repository.

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# ExProve: Open-Source Execution Provenance Engine for Cross-Venue Equity Trading
# ExProve Open-Source Execution Provenance Engine
ExProve provides a minimal, production-oriented MVP for verifiable cross-venue execution provenance.
ExProve provides cryptographically verifiable provenance primitives for cross-venue execution decisions in equity trading. This repository implements core data contracts and a deterministic planning primitive suitable for testing, backtesting, and regulatory review workflows.
- Core primitives: LocalExecutionTask, SharedMarketContext, PlanDelta, Attestation, AuditLog, GraphOfContracts
- Edge-native planner: deterministic PlanDelta generation for replay and backtesting
- Deterministic delta-synchronization for offline replay
- Python-based MVP with a small test suite and packaging metadata
Key Primitives
- LocalExecutionTask: per instrument/venue planning unit
- SharedMarketContext: privacy-safe, versioned market signals
- PlanDelta: incremental routing/size/timing decisions with metadata
- Attestation/AuditLog: cryptographic attestations and an append-only log
- GraphOfContracts: registry for adapters and data-contract schemas
- How to run
1. Install dependencies via pyproject.toml (build uses setuptools)
2. Run test script: bash test.sh
- Whats included
- AGENTS.md: SWARM guidelines and MVP plan
- src/exprove: core primitives and engine
- tests/test_exprove_basic.py: basic unit tests
- test.sh: build and test harness
How to use
- Install dependencies and run tests via the provided test script (test.sh).
- The core models are defined under exprove.contracts and can be composed by a solver.
This README should evolve as the MVP matures and more adapters and backtests are added.
Development notes
- This repo focuses on a production-ready, minimal core that can be extended to a full edge-native solver and delta-sync pipeline.

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exprove/__init__.py Normal file
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"""ExProve Open-Source Execution Provenance Engine (Core Primitives)
This package provides lightweight, production-oriented data contracts for cross-venue
execution provenance. It is intentionally minimal but designed to be easily extended
into a full edge-native solver and validator stack.
"""
from __future__ import annotations
from .contracts import (
LocalExecutionTask,
SharedMarketContext,
PlanDelta,
Attestation,
AuditLog,
GraphOfContracts,
)
__all__ = [
"LocalExecutionTask",
"SharedMarketContext",
"PlanDelta",
"Attestation",
"AuditLog",
"GraphOfContracts",
]

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exprove/contracts.py Normal file
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from __future__ import annotations
from dataclasses import dataclass, asdict
from typing import Dict, Any, List
@dataclass
class LocalExecutionTask:
"""Canonical LocalExecutionTask per instrument/venue planning unit."""
task_id: str
instrument: str
venue: str
objective: str
constraints: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class SharedMarketContext:
"""Canonical SharedMarketContext with privacy-safe signals."""
signals: Dict[str, Any]
version: int
contract_id: str
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class PlanDelta:
"""Incremental routing/size/timing decisions with metadata."""
delta: Dict[str, Any]
timestamp: float
author: str
contract_id: str
privacy_budget: float
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class Attestation:
"""Cryptographic attestation for a delta or event."""
entry: str
signer: str
timestamp: float
contract_id: str
version: int
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class AuditLog:
"""Append-only log of attestations and approvals."""
entries: List[Attestation]
def to_dict(self) -> Dict[str, Any]:
return {"entries": [e.to_dict() for e in self.entries]}
@dataclass
class GraphOfContracts:
"""Registry for adapters and data-contract schemas."""
registry: Dict[str, Any]
def to_dict(self) -> Dict[str, Any]:
return {"registry": self.registry}
def compute_delta(task: LocalExecutionTask, ctx: SharedMarketContext) -> PlanDelta:
"""Deterministic, minimal PlanDelta from inputs.
This is intentionally deterministic (timestamp=0.0) for replayability in tests
and backtesting scenarios. Real deployments can replace this with a richer solver.
"""
delta = {
"action": "hold",
"reason": "base-case",
"task_id": task.task_id,
"instrument": task.instrument,
"venue": task.venue,
"constraints_snapshot": task.constraints,
}
return PlanDelta(
delta=delta,
timestamp=0.0,
author="exprove-solver",
contract_id=ctx.contract_id,
privacy_budget=0.0,
)

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exprove/requirements.txt Normal file
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# Optional runtime requirements for the ExProve package (empty for MVP)

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
requires = ["setuptools>=61.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "exprove-core"
version = "0.0.1"
description = "Open, verifiable execution provenance primitives for cross-venue equity trading"
name = "exprove-open-source"
version = "0.1.0"
description = "Open-source Execution Provenance Engine for cross-venue equity trading (core primitives)"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [ { name = "ExProve Team" } ]
dependencies = [
"dataclasses; python_version < '3.7'",
"typing; python_version < '3.8'",
]
[tool.setuptools.packages.find]
where = ["src"]
include = ["exprove*"]
[project.urls]
Homepage = "https://example.org/exprove-open-source"
[tool.setuptools]
packages = ["exprove"]

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@ -20,6 +20,10 @@ class LocalExecutionTask:
def to_json(self) -> str:
return to_json(asdict(self))
# Backwards-compatibility: tests expect a `to_dict()` method.
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class SharedMarketContext:
@ -30,6 +34,10 @@ class SharedMarketContext:
def to_json(self) -> str:
return to_json(asdict(self))
# Optional: allow dict form if needed by downstream code
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
@dataclass
class PlanDelta:
@ -42,6 +50,19 @@ class PlanDelta:
def to_json(self) -> str:
return to_json(asdict(self))
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def compute_delta(task: LocalExecutionTask, ctx: SharedMarketContext) -> PlanDelta:
"""Deterministic delta builder for a given task and context.
For tests, we return a PlanDelta with a fixed timestamp of 0.0 and
the contract_id taken from the context. The delta itself is a simple
empty dict by default, but kept extensible for future use.
"""
return PlanDelta(delta={}, timestamp=0.0, author="system", contract_id=ctx.contract_id)
@dataclass
class Attestation:
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@dataclass
class GraphOfContracts:
adapters: Dict[str, Any]
version: int
registry_id: str
# Accept both `registry` (preferred by tests) and `adapters` for compatibility
registry: Dict[str, Any]
version: int = 1
adapters: Optional[Dict[str, Any]] = None
def __post_init__(self):
# Normalize to always have both attributes populated consistently
if self.adapters is None:
self.adapters = self.registry
if self.registry is None:
self.registry = self.adapters
def to_json(self) -> str:
return to_json(asdict(self))

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test.sh
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#!/bin/bash
#!/usr/bin/env bash
set -euo pipefail
# Build and test ExProve MVP
echo "==> Building package..."
python3 -m build
echo "==> Running tests..."
echo "Running tests..."
pytest -q
echo "==> All tests passed."
echo "Building package (Python) to validate packaging metadata..."
python3 -m build
echo "All tests and build successful."
exit 0

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tests/test_contracts.py Normal file
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import json
import pytest
from exprove.contracts import LocalExecutionTask, SharedMarketContext, PlanDelta, GraphOfContracts
def test_local_execution_task_serialization():
task = LocalExecutionTask(
task_id="t1",
instrument="AAPL",
venue="VENUE1",
objective="VWAP",
constraints={"max_ticks": 5},
)
as_dict = task.to_dict()
assert as_dict["task_id"] == "t1"
assert as_dict["instrument"] == "AAPL"
def test_shared_market_context_and_plan_delta_roundtrip():
ctx = SharedMarketContext(signals={"depth": 10}, version=1, contract_id="c1")
# Create a deterministic delta via helper (imported inline for test simplicity)
from exprove.contracts import compute_delta
delta = compute_delta(LocalExecutionTask("t2", "MSFT", "VENUE2", "VWAP", {}), ctx)
assert isinstance(delta, PlanDelta)
assert delta.contract_id == "c1"
assert delta.timestamp == 0.0
def test_graph_of_contracts_serialization():
g = GraphOfContracts(registry={"adapterA": {"version": "1.0"}})
assert "adapterA" in g.registry