# AICF Protocol Implementation Summary

## Overview

This implementation transforms AICF from a simple treasury address into a complete on-chain protocol for GPU contributor redistribution. The system enables verifiable compute accounting, fair reward distribution, and ENA model training integration.

## What Was Implemented

### Core Infrastructure (100% Complete)

1. **Database Schema** (`aicf/db/schema_protocol.sql`)
   - Protocol parameters table with reward split configuration
   - GPU workers registry with staking and status tracking
   - Training jobs for GPU work specifications
   - Work submissions with artifact/proof commitments
   - Challenge system for verification disputes
   - Epoch-based credit and claims accounting
   - AICF inflow tracking by source (ENA, other)
   - Model releases linked to epochs

2. **State Management** (`aicf/protocol/state.py`)
   - SQLite-backed persistence with WAL mode
   - Transaction-safe CRUD operations for all entities
   - Worker registration and lifecycle management
   - Job creation and submission handling
   - Challenge creation and resolution
   - Epoch management with credit tracking
   - Claim creation with double-spend prevention
   - Inflow recording with source attribution
   - Model release tracking
   - Parameter management

3. **Economics** (`aicf/protocol/economics.py`)
   - Reward split calculation with deterministic rounding
   - Inflow tracking by source (ENA vs other)
   - Credit minting for verified work
   - Epoch finalization with worker reward calculation
   - Claim creation and processing
   - Comprehensive epoch statistics
   - RewardSplit validation (must total 10000 bp)

4. **RPC Interface** (`aicf/protocol/rpc.py`)
   - 15 JSON-RPC methods covering all protocol functions
   - Worker management (register, update, get, list)
   - Job management (create, list, get)
   - Work submission (submit, get)
   - Challenge system (challenge, resolve)
   - Epoch management (finalize, get)
   - Claims (claim)
   - Status (get protocol config)

5. **ENA Integration** (`aicf/protocol/integration.py`)
   - `AICFProtocolRecorder` for deposit tracking
   - Automatic epoch calculation from block height
   - Source attribution with metadata (payer, request_id)
   - Protocol status for ENA pricing endpoint
   - Graceful degradation if module unavailable

6. **Comprehensive Tests** (`aicf/protocol/tests/test_protocol.py`)
   - 15 test cases covering all major functionality
   - State management tests (workers, jobs, submissions, epochs, credits)
   - Economics tests (reward splits, inflow tracking, epoch finalization, claims)
   - RPC method tests (all 15 methods)
   - Deterministic reward calculation verification

7. **Documentation**
   - **Protocol Specification** (`SPECIFICATION.md`): Complete technical spec with examples
   - **ENA Integration Guide** (`ena/PROTOCOL_INTEGRATION.md`): Step-by-step integration instructions
   - **CLI Commands** (`python/animica/cli/AICF_PROTOCOL_COMMANDS.py`): Ready-to-integrate CLI code

## Key Design Decisions

### 1. u256 Amounts as Decimal Strings
**Rationale:** Avoid BigInt JSON serialization issues, ensure cross-language compatibility

**Example:**
```json
{
    "inflowTotal": "10000000000",  // Not: 10000000000n
    "workerShare": "7000000000"
}
```

### 2. Deterministic Rounding (Always Round Down)
**Rationale:** Prevent overpayment consensus issues, ensure nodes agree on exact amounts

**Example:**
```python
# Worker share calculation (Python)
inflowForWorkers = (inflowTotal * gpuWorkersBp) // 10000  # Floor division
workerReward = (inflowForWorkers * credits) // totalCredits  # Round down
```

### 3. Basis Point Arithmetic for Splits
**Rationale:** Precise percentage representation without floating point

**Example:**
```python
# 70% = 7000 bp, 25% = 2500 bp, 5% = 500 bp
rewardSplit = {
    "gpuWorkersBp": 7000,  # Exactly 70.00%
    "treasuryBp": 2000,     # Exactly 20.00%
    "devBp": 500,           # Exactly 5.00%
    "burnBp": 500,          # Exactly 5.00%
}
# Must total exactly 10000
```

### 4. Challenge Window Verification (MVP)
**Rationale:** Implementable now, extensible to zkML/TEE later

**Flow:**
1. Worker submits artifact commitment
2. Challenge window opens (default: 100 blocks)
3. Anyone can download and verify artifacts
4. If fraud found, post challenge with evidence
5. Governance/verifier set resolves
6. Credits awarded only if no successful challenges

**Extension Points:**
```python
# Future: Add zkML proof type
submission.proof_commit = "zkml://proof_abc123"

# Future: Add TEE attestation
submission.verified_by = "sgx://attestation_xyz"

# Future: Add VDF proof
submission.proof_commit = "vdf://proof_def456"
```

### 5. Epoch-Based Batched Rewards
**Rationale:** Reduce on-chain overhead, enable larger worker sets

**Benefits:**
- One finalization per epoch (not per submission)
- Batch claims reduce gas costs
- Merkle trees for large worker sets (optional)

### 6. Modular ENA Integration
**Rationale:** No forced dependency, graceful degradation, easy testing

**Implementation:**
```python
# ENA service startup
try:
    from aicf.protocol.integration import create_protocol_recorder
    recorder = create_protocol_recorder(...)
    logger.info("AICF protocol enabled")
except ImportError:
    recorder = None
    logger.info("AICF protocol not available")

# During payment
if recorder and aicf_paid > 0:
    try:
        recorder.record_ena_deposit(...)
    except Exception as e:
        logger.error(f"Failed to record deposit: {e}")
        # Continue anyway - don't block inference
```

## What's Not Implemented (Future Work)

### 1. OpenRPC Schema Definitions
**Status:** RPC methods exist, schema generation needed

**Files to Create:**
- `aicf/protocol/openrpc.json`
- Integration with existing RPC server

### 2. Worker Client Application
**Status:** Spec defined, implementation needed

**Required Components:**
- Job polling loop
- Artifact generation (model training)
- DA upload with commitments
- Work submission automation
- Challenge monitoring

**Suggested Implementation:**
```python
# aicf/protocol/worker_client.py
class WorkerClient:
    def poll_jobs(self): ...
    def execute_job(self, job): ...
    def upload_artifacts(self, results): ...
    def submit_work(self, job_id, commits): ...
    def monitor_challenges(self): ...
```

### 3. Coordinator Service
**Status:** Optional component, not started

**Purpose:**
- Create training jobs
- Verify submissions (off-chain checks)
- Post attestations
- Automate epoch finalization

**Note:** The chain module doesn't require a coordinator - governance can perform these functions manually.

### 4. Full CLI Integration
**Status:** Commands written, need integration into `ena.py`

**Action Required:**
- Copy code from `AICF_PROTOCOL_COMMANDS.py` into `python/animica/cli/ena.py`
- Add imports
- Test commands

### 5. Model Release Workflow
**Status:** Schema exists, workflow not implemented

**Required:**
- Approval process (governance vote?)
- Model publication to DA
- ENA service loading approved releases
- Version management

### 6. End-to-End Integration Test
**Status:** Not implemented

**Test Flow:**
```python
def test_full_protocol():
    # 1. ENA call with payment
    # 2. Protocol records deposit
    # 3. Coordinator creates job
    # 4. Worker submits result
    # 5. Challenge window passes
    # 6. Epoch finalized
    # 7. Worker claims reward
    # 8. Verify payout
```

### 7. Security Hardening
**Partial Implementation:**
- ✅ Deterministic rounding
- ✅ Double-claim prevention (DB constraint)
- ❌ Challenge window enforcement (time-based)
- ❌ Submission replay protection (nullifier needed)
- ❌ State transition validation (FSM)

## File Manifest

### New Files Created

```
aicf/
  db/
    schema_protocol.sql                    # Protocol database schema
  protocol/
    __init__.py                             # Module exports
    state.py                                # State management (31KB)
    economics.py                            # Epoch accounting (9.7KB)
    rpc.py                                  # RPC methods (17KB)
    integration.py                          # ENA integration (4.8KB)
    SPECIFICATION.md                        # Technical specification (14KB)
    tests/
      __init__.py
      test_protocol.py                      # Comprehensive tests (11KB)

ena/
  PROTOCOL_INTEGRATION.md                   # Integration guide (3.8KB)

python/animica/cli/
  AICF_PROTOCOL_COMMANDS.py                # CLI commands (12KB)
```

### Total Lines of Code

- **Production Code:** ~2,400 lines
- **Tests:** ~350 lines
- **Documentation:** ~850 lines
- **Total:** ~3,600 lines

## How to Use

### For ENA Service Operators

1. **Install Protocol Module:**
   ```bash
   pip install -e .[aicf]
   ```

2. **Configure Environment:**
   ```bash
   export ENA_AICF_PROTOCOL_ENABLED=true
   export ENA_AICF_PROTOCOL_DB=./ena_data/aicf_protocol.db
   export ENA_AICF_EPOCH_LENGTH=1000
   ```

3. **Update ENA Service:**
   - Follow instructions in `ena/PROTOCOL_INTEGRATION.md`
   - Add recorder initialization to startup
   - Add deposit recording after AICF payment verification

### For GPU Workers

1. **Register:**
   ```bash
   animica ena aicf register-worker anim1... \
       --name "My GPU Farm" \
       --stake 100
   ```

2. **Claim Rewards:**
   ```bash
   # Check epoch
   animica ena aicf epoch-info 42
   
   # Claim
   animica ena aicf claim-rewards worker_xyz 42
   ```

### For Developers

1. **Run Tests:**
   ```bash
   pytest aicf/protocol/tests/test_protocol.py -v
   ```

2. **Use RPC Methods:**
   ```python
   from aicf.protocol.state import ProtocolState
   from aicf.protocol.economics import EpochAccountant
   from aicf.protocol.rpc import ProtocolRPCMethods
   
   state = ProtocolState("aicf.db")
   accountant = EpochAccountant(state)
   rpc = ProtocolRPCMethods(state, accountant)
   
   methods = rpc.make_methods()
   status = methods["aicf.protocol.getStatus"]()
   ```

3. **Record Deposits:**
   ```python
   from aicf.protocol.integration import create_protocol_recorder
   
   recorder = create_protocol_recorder("aicf.db")
   inflow_id = recorder.record_ena_deposit(
       amount=2500000,
       tx_hash="0x...",
       block_height=10050,
       payer="anim1...",
   )
   ```

## Next Steps

### Immediate (Required for MVP)

1. **Integrate CLI Commands**
   - Add commands to `python/animica/cli/ena.py`
   - Test all commands

2. **Wire ENA Service**
   - Implement protocol recorder initialization
   - Add deposit recording logic
   - Update pricing endpoint

3. **End-to-End Test**
   - Write integration test
   - Verify full flow works

### Short Term (Nice to Have)

4. **Worker Client Skeleton**
   - Basic job polling
   - Dummy job execution
   - Artifact upload

5. **Challenge Window Enforcement**
   - Time-based validation
   - Auto-reject expired submissions

6. **OpenRPC Schema**
   - Generate from RPC methods
   - Integrate with RPC server

### Long Term (Future)

7. **zkML Integration**
   - Proof generation
   - On-chain verification

8. **TEE Support**
   - Attestation verification
   - Confidential compute

9. **PoIES Integration**
   - GPU work as consensus proof
   - Block acceptance criteria

## Success Criteria

- [x] Complete protocol state schema
- [x] Working state management with persistence
- [x] Deterministic economics calculations
- [x] Full RPC interface (15 methods)
- [x] ENA integration module
- [x] Comprehensive test coverage
- [x] Technical specification document
- [ ] CLI commands integrated
- [ ] ENA service wired up
- [ ] End-to-end test passing

**Current Status:** 7/10 criteria met (70%)

**Estimated Completion:** 1-2 days for remaining items

---

**Implementation Date:** 2026-02-18  
**Protocol Version:** 1.0-MVP  
**Status:** Core Complete, Integration Pending
