Audit chain for Claude Code workflows — consensus verification, persistent memory, and XRPL provenance for every agent action.
Project description
credex-claudecode
$60 to prove what $500 bought you.
Audit chain for Claude Code workflows — consensus verification, persistent memory, and XRPL provenance for every agent action.
When Claude Code spins up hundreds of parallel agents that run for days, nobody can reconstruct what happened without a verification trail. credex-claudecode is that trail.
What It Does
credex run "Migrate from Express to FastAPI" --verify milestones
- Wraps Claude Code — runs your prompt through
claude -pwith streaming output - Parses every action — tool calls, file writes, bash commands, agent decisions
- Routes through CredEx verification — pre-verification at $0.001/action, full 5-LLM consensus at $0.10/milestone
- Anchors to XRPL — cryptographic provenance at workflow boundaries
- Produces
workflow.audit.json— third-party verifiable record of everything
Cost
For a typical Claude Code "ultracode" workflow ($500 in tokens, ~45,000 actions):
| Tier | What | Cost |
|---|---|---|
| Pre-verification | Every action, cheap model | $0.001 × 45,000 = $45 |
| Full consensus | 5-LLM panel at milestones | $0.10 × 50 = $5 |
| XRPL anchoring | Workflow boundaries | ~$10 |
| Total | ~$60 (12% overhead) |
Install
pip install credex-claudecode
Requires:
- Python 3.10+
- Claude Code CLI (
npm install -g @anthropic-ai/claude-code) - CredEx API key (optional for dry-run mode)
Quick Start
Get a CredEx API key
# Instant anonymous key
curl -X POST https://credexai.live/agent/auth -d '{"type":"anonymous"}'
# Set it
export CREDEX_API_KEY=credex_...
Run a workflow with audit chain
# Full audit (milestones verified + XRPL anchored)
credex run "Migrate the auth module from Express to FastAPI"
# Verify everything (costs more, thorough)
credex run "Security audit of the payment module" --verify all
# Dry run (no CredEx, local audit only)
credex run "Rewrite tests in pytest" --dry-run
# Pass Claude Code options
credex run "Fix the bug in auth.py" --allowed-tools "Read,Edit,Bash" --model claude-sonnet-4-20250514
Inspect an audit
# Pretty-print summary
credex audit workflow.audit.json
# Verify chain integrity
credex audit workflow.audit.json --verify
Lightweight hooks (no wrapper needed)
# Install PostToolUse hooks into your project
credex install-hooks
# Now every Claude Code session automatically logs to CredEx
claude # Use normally — CredEx logging happens in background
workflow.audit.json
The audit file is a self-contained, third-party verifiable record:
{
"version": "1.0.0",
"generator": "credex-claudecode",
"document_hash": "a1b2c3...",
"workflow": {
"session_id": "session_abc123",
"prompt": "Migrate from Express to FastAPI",
"started_at": "2025-05-29T01:00:00Z",
"ended_at": "2025-05-29T01:45:00Z",
"claude_cost_usd": 12.50,
"total_tokens": 2500000,
"total_turns": 47
},
"summary": {
"total_actions": 342,
"total_milestones": 28,
"files_modified": ["src/main.py", "src/routes/auth.py", "..."],
"credex_verification": {
"total_verifications": 28,
"total_cost_usd": 2.85,
"verdicts": {"TRUE": 26, "MIXED": 2},
"anchors": 3
}
},
"action_chain": [
{
"id": "tool-abc123",
"sequence_number": 1,
"action_type": "tool_use",
"tool_name": "Read",
"content_hash": "f4a3...",
"chain_hash": "b7c2...",
"prev_hash": "genesis"
}
],
"chain_proof": {
"genesis_hash": "genesis",
"final_hash": "d8e9...",
"chain_length": 342,
"algorithm": "sha256-linked"
}
}
Verification: Each action's chain_hash = SHA256(prev_hash + content_hash + sequence). Recompute from genesis to verify the entire chain.
Architecture
┌──────────────────────────────────────────────┐
│ credex run "prompt" │
├──────────────────────────────────────────────┤
│ │
│ Claude Code CLI (subprocess) │
│ --output-format stream-json │
│ │ │
│ ▼ │
│ StreamEventParser │
│ ├─ tool_use events → ParsedAction │
│ ├─ tool_result events → ParsedAction │
│ └─ result event → WorkflowSession │
│ │ │
│ ▼ │
│ CredExVerifier │
│ ├─ Pre-verify: $0.001 (cheap, every action) │
│ ├─ Consensus: $0.10 (5-LLM, milestones) │
│ └─ Anchor: XRPL (workflow boundaries) │
│ │ │
│ ▼ │
│ AuditChainGenerator │
│ └─ workflow.audit.json │
│ │
└──────────────────────────────────────────────┘
Integration Paths
1. CLI Wrapper (Full Audit)
Use credex run for complete audit chains. Best for high-stakes workflows: migrations, security audits, rewrites.
2. PostToolUse Hooks (Lightweight)
Use credex install-hooks for background logging. Best for everyday use — zero friction, events stored in CredEx memory.
3. Python SDK (Programmatic)
from credex_claudecode.parser import StreamEventParser
from credex_claudecode.verifier import CredExVerifier
parser = StreamEventParser(prompt="my workflow")
verifier = CredExVerifier(api_key="credex_...", verify_level="milestones")
# Parse events from any source
for line in event_stream:
actions = parser.parse_line(line)
for action in actions:
result = await verifier.process_action(action)
session = parser.finalize()
Why This Matters
Claude Code "ultracode" workflows spin up ~200 parallel agents, execute ~45,000 actions, and run for days. When that $500 workflow completes:
- Without CredEx: You have code changes. You don't know what decisions were made, what was tried and failed, or what was verified vs. guessed.
- With CredEx: You have a cryptographic audit chain. Every action verified, every decision anchored, every workflow reconstructable.
For enterprise teams running Claude Code on production codebases, the audit chain isn't optional — it's the difference between "we think the migration worked" and "here's the proof."
Links
- CredEx AI: credexai.live
- MCP Tools: credexai.live/.well-known/mcp.json
- Connector Docs: credexai.live/docs/universal-connector.html
- API Auth: credexai.live/auth.md
License
MIT
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