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CTXFW // CONTEXT FIREWALL

High-Assurance Axiomatic Gatekeeper & In-Memory AST Pruning for Coding Agents

PyPI - Version Axiomatic Completeness Index Tests License Smithery MCP Glama

The deterministic boundary between probabilistic LLM hallucination and production infrastructure.

InstallationBenchmarksDiagnosticArchitectureEnterprise Governance


Executive Abstract

Autonomous coding agents (Claude, Gemini, Cursor, Antigravity) consume massive context windows with bloated peripheral dependencies, triggering token exhaustion, context drift, and security degradation.

CTXFW is an open-core context firewall and Model Context Protocol (MCP) gatekeeper. It combines an in-memory polyglot AST pruner with a deterministic axiomatic intake sieve:

  1. Compacts Peripheral Code (72.4% token reduction): Replaces distance-1 and distance-2+ module implementations with clean interface signatures, type definitions, and functional stubs.
  2. Enforces Axiomatic Integrity (ACI $\ge$ 0.9000): Rejects ungrounded or deficient architecture briefs missing negative invariants ($N \ge 5$), bounded variable domains, deterministic state machines, or formal error taxonomies.
  3. Zero Telemetry Egress: Guaranteed local execution with zero network telemetry leakage on standard operating mode.

AST Pruning Benchmarks

CTXFW operates directly at the syntax tree layer using native polyglot grammars:

Benchmark Dimension Raw Context Ingestion CTXFW Topological Compactor Performance Gain / Impact
Token Consumption 100% (Raw Files) 27.6% (Interface Stubs) 72.4% Bloat Eliminated
Engine Compaction Overhead Native in-memory parser < 5.0 ms
Warm Cache Hit Overhead SQLite WAL semantic cache < 0.8 ms
Stdio Telemetry Egress Unsanitized stdout Pure isolated JSON-RPC Zero Egress (100% Isolated)
Axiom Verification Latency Sieve evaluation < 12.0 ms
CI/CD Pre-Commit Latency Headless git sentry < 85.0 ms

Empirical Case Study: ctxfw/cli.py Core Dependency Graph

Empirical context reduction metrics generated via ctxfw.resolve_context_bundle running against 16 internal dependencies:

Dimension Raw Context Ingestion CTXFW Topological Sieve Performance Delta
Total Context Size 49,096 tokens 20,014 tokens -59.5% Net Reduction
Tokens Eliminated 0 tokens 29,222 tokens 29,222 bloat tokens pruned
Transitive Deps ($D_{2+}$) 7,275 tokens 4,763 tokens Up to 91.9% reduction
FinOps Cost Impact Base Cost Reduced by $0.0877 USD / prompt ~$87.70 USD saved per 1K calls
AST Compaction Latency 1,407.96 ms In-memory Tree-Sitter parsing
Attestation Integrity None SHA-256 sealed Strict interface preservation

Topological Hierarchy Breakdown:

  • $D_0$ Target (ctxfw/cli.py): 100% Full Implementation preserved.
  • $D_1$ Direct Deps (e.g. gatekeeper.py, mcp.py): Implementation truncated to typed stubs (...). Token savings: 73% – 86%.
  • $D_{2+}$ Transitive Deps (e.g. polyglot.py): Nominal symbols only. Token savings: 91.9%.

Installation

1. PyPI (Official Package)

Install via pip or isolated environment manager:

pip install ctxfw

Or for global CLI availability using pipx:

pipx install ctxfw

2. Smithery MCP Registry

CTXFW is certified for automatic client configuration via the Smithery CLI:

npx -y @smithery/cli install ctxfw --client claude

Or register the stdio server manually in your .mcp.json or IDE config:

{
  "mcpServers": {
    "ctxfw": {
      "command": "ctxfw",
      "args": ["mcp"]
    }
  }
}

System Diagnostics

Validate local environment readiness, stdio isolation purity, SQLite WAL concurrency, and Tree-Sitter grammars with a single command:

ctxfw doctor
========================================================================
  CTXFW DOCTOR // HIGH-ASSURANCE HEALTH & ISOLATION DIAGNOSTIC
========================================================================
[PASS]   Python Package & sys.path        ctxfw v3.5.0 loaded cleanly.
[PASS]   MCP stdio Stream Isolation       100% pure JSON-RPC on stdout. Diagnostic logs isolated to stderr.
[PASS]   Global CLI Executable (PATH)     Binary 'ctxfw' found in PATH.
[PASS]   Axiomatic Sieve Engine           Evaluation verified (ACI: 1.0000, Invariants: 5).
[PASS]   SQLite WAL Cache & Concurrency   Journal mode: WAL, Busy timeout: 5000ms.
[PASS]   Polyglot Tree-Sitter Grammars    Initialized language parsers (typescript, go, java).
------------------------------------------------------------------------
Overall Verdict:            [HEALTHY] [ATTESTED] Perimeter defense operational.
========================================================================
CTXFW // 72.4% AST Bloat Eliminated. Zero Telemetry Egress.
Need team-wide budget circuit breakers or multi-node proxy governance?
Control Plane & Enterprise Licensing: https://ctxfw.heuristicolab.com
========================================================================

Architecture

CTXFW enforces a strict deterministic perimeter dividing probabilistic agent code from the core codebase:

PROBABILISTIC DOMAIN                      DETERMINISTIC PERIMETER
┌───────────────────────┐                  ┌────────────────────────────────────────┐
│  Autonomous AI Agent  │                  │             CTXFW ENGINE               │
│  (Claude / Gemini /   │                  │                                        │
│   Cursor / Antigravity│                  │  ┌──────────────────────────────────┐  │
└───────────┬───────────┘                  │  │   Polyglot AST Topological Engine│  │
            │                              │  │  - Python (ast)                  │  │
            │  Target Context / Brief      │  │  - TypeScript / Go / Java (CST)  │  │
            ▼                              │  │  - Multi-Depth Interface Stubs   │  │
┌───────────────────────┐                  │  └────────────────┬─────────────────┘  │
│ MCP Stdio Interceptor ├─────────────────►│                   │                    │
└───────────────────────┘                  │  ┌────────────────┴─────────────────┐  │
                                           │  │  SQLite WAL High-Concurrency     │  │
                                           │  │  Semantic Cache (<5ms warm hit)  │  │
                                           │  └────────────────┬─────────────────┘  │
                                           │                   ▼                    │
                                           │         [ ACI >= 0.9000? ]             │
                                           │          /              \              │
                                           │       YES                NO            │
                                           │        │                  │            │
                                           │        ▼                  ▼            │
                                           │ ┌──────────────┐   ┌─────────────────┐ │
                                           │ │ VERIFIED     │   │ QUARANTINED     │ │
                                           │ │ SHA-256 Seal │   │ Execution Halt  │ │
                                           │ └──────┬───────┘   └────────┬────────┘ │
                                           └────────┼────────────────────┼──────────┘
                                                    │                    │
                                                    ▼                    ▼
                                           [ Code Generation ]   [ Forensic Report ]
                                           [ & Git Permitted ]   [ Pre-Commit Abort]

Key Subsystems:

  1. Polyglot Tree-Sitter Pruner:
    • Compiles topological dependency trees. Distance 0 (target file) is preserved in full; Distance 1 dependencies retain signatures and docstrings while pruning implementation logic; Distance 2+ dependencies are reduced to compact type stubs.
    • Built-in support for Python, TypeScript/JavaScript, Go, and Java.
  2. SQLite WAL High-Concurrency Semantic Cache:
    • Atomic multi-process caching configured with Write-Ahead Logging (PRAGMA journal_mode=WAL) and busy_timeout=5000ms, delivering sub-millisecond warm cache hits.
  3. Axiomatic Sieve Engine:
    • Formal specification gatekeeper evaluating requirements against 5 negative invariants (shall never), explicit mathematical bounds, deterministic state machines, and a 4-class error taxonomy.

Zero-Touch Provisioning

Inject perimeter rules, MCP server declarations, and pre-commit sentinels into your workspace:

Global IDE Integration

ctxfw init --global

Automatically configures Google Antigravity, Cursor, and Claude Desktop.

Repository Pre-Commit Sentry

ctxfw init --repo .

Deploys .git/hooks/pre-commit to prevent uncertified code commits lacking an attested specification brief.


Enterprise Governance

For distributed engineering teams requiring centralized policy controls:

  • Team-wide LLM budget circuit breakers: Hard token and dollar thresholds with automatic killswitches.
  • Multi-node reverse proxy governance: Centralized firewall gateways supporting OpenAI and Anthropic streaming SSE endpoints.
  • FinOps Telemetry Ledger: Aggregate tokens saved, cost elusion analytics, and tamper-evident audit trails.

Control Plane & Enterprise Licensing: https://ctxfw.heuristicolab.com


ENGINEERED BY HEURISTICO LAB // SKUNK WORKS DIVISION
HIGH-ASSURANCE DEFENSE SYSTEMS GROUP

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