Open-Source Ecosystem Roadmap

Engineering roadmap for our open-source developer tooling: LLM Context Forge and Velox GTM.

1. LLM Context Forge (Context & Token Infrastructure)

Deterministic, zero-telemetry context budgeting, chunking, and cost estimation across LLM providers.

Exact Multi-Backend Tokenization: Pure deterministic encoding with cl100k_base, o200k_base, and HuggingFace models.
Intelligent Document Chunking: 5 chunking strategies (Sentence, Paragraph, Semantic/Heuristic, Code, Fixed) with strict parameter validation.
Priority Context Packing: ContextWindow algorithm mimicking system-level queues with overflow dropping.
Multimodal Vision Token Sizing: VisionTokenCounter calculating exact pixel-tile token costs for OpenAI (GPT-4o detail tiers), Anthropic (Claude 3.5 1568px bounds), and Google Gemini (768px patches).
Live Dynamic Pricing Index: Integrated APIPriceIndexProvider consuming API Price Index (600+ models with CC BY 4.0 attribution) and Cheapest LLM API fallback with 1-hour disk TTL caching (~/.cache/llm_context_forge/).
CLI & API Server: llm-context-forge count, chunk, assemble, pricing lookup, and FastAPI /docs service.

Streaming Context Window: Async generator packing (stream_context_window()) enabling dynamic client-side token delivery.
KV-Cache State Tracking: Tracking prompt prefixes against Anthropic Prompt Caching and OpenAI prefix caching to predict cache-hit vs. cache-miss costs.
Framework Integrations: Pinned optional dependency extras for LangChain (ContextForgeTextSplitter) and LlamaIndex (ContextForgeNodeParser).

Rust FFI Core (forge-core): Native Rust core via PyO3 (Python) and napi-rs (TypeScript) for >2,000,000 tokens/sec chunking and packing.
Multi-Modal Native Audio & Video: Native token estimations for audio spectrograms and video frames.
WASM Edge Compilation: Edge-ready builds (wasm32-unknown-unknown) for Cloudflare Workers and Vercel Edge.

Lightweight GTM orchestration, offline lead scoring, and automated sales-to-ops handoff.

Architecture Modernization: Modular src/velox_gtm/ layout with clean packaging configuration in pyproject.toml.
Zero-Setup Offline ICP Engine: 3-axis lead scoring matrix (LinkedInGTMLeadEngine) running with sub-millisecond local latency and velox --demo.
Automated Notion ERP Provisioning: Dual relational database deployment (Pipeline Tracker ↔ Client Vault & Project Delivery).
Google Docs Proposal Compiler: Markdown AST parser and formatter compiling blueprints into styled Google Docs.
Comprehensive Mock Test Suite & CI: 100% offline pytest test harness with Notion and Google API mocks; GitHub Actions multi-version CI across Python 3.10, 3.11, and 3.12.

FastAPI Webhook Listener: Background daemon (velox listen --port 8000) to directly ingest incoming webhooks from n8n, Stripe, and HubSpot.
Pluggable Local CRM Adapters: SQLite and PostgreSQL backends for sovereign, self-hosted operational tracking without Notion dependencies.

Dynamic Scoring Rule Engine: Configurable YAML/JSON rule schema (icp_rules.yaml) replacing hardcoded scoring parameters.
Distributed RevOps Processing: Async worker queue (Redis / Celery) for high-throughput batch CSV lead qualification.
Audit & PII Compliance: Data sanitation engine and audit logging for SOC2/GDPR compliance across CRM handoffs.