High-assurance in-memory Tree-Sitter AST context firewall and pruning MCP server for coding agents (-72.4% token mass).
OTel-native typed primitives for LLM cost attribution and telemetry — published on PyPI.
PyPI-distributable LLM control plane: gateway choke point, cost attribution, OTel instrumentation, and offline reporting as an inspectable engineering artifact.
FinOps cost attribution for AI code agents: maps Kiro, Cursor, and Claude Code spend to git commits to reveal per-task cost, waste patterns, and agent ROI signals.
Grafana-native LLMOps dashboards for FinOps, agents, quality and AI governance, generated and visually verified.
Per-repo learning layer for AI coding model routers: learns which task classes can safely run on a cheaper tier. Native for Claude Code, Codex, Antigravity · MCP server · zero deps.
Tamper-evident, stranger-verifiable receipts for LLM cost-savings — anyone can recompute your caching/routing savings math offline, no trust in your dashboard required. Pure stdlib, zero-dependency.
Open-source LLM observability, FinOps, and governance platform - normalize token usage, cost, latency, errors, retries, quotas, and billing across OpenAI, Anthropic, Gemini, Azure OpenAI, and AWS Bedrock. OpenTelemetry-native, Prometheus-ready, self-hosted. Apache-2.0.
Data-driven LLM model tiering framework & Streamlit dashboard optimizing LLM cost (4-6x) and latency by routing task complexities
Estimate LLM API costs from token usage and request volume using configurable provider pricing.
Pre-dispatch policy evaluation and cost attribution for LLM inference, built on llmscope.
Claude skill for code-agent execution policy: scope control, credit burn reduction, and cheap context recovery for spec-driven implementation workflows.
Evidence-based quality gate for LLM deployments: evaluates telemetry against latency, cost, and error policies to produce auditable go/no-go release decisions for CI/CD.
Alexandre Beguel: Agentic AI Architect & external CAIO, Paris. Production GenAI, LLMOps, LLM FinOps and evidence-first AI governance (EU AI Act, ISO/IEC 42001). Profile in English, French and Spanish.
Python SDK for pre-call AI budget controls and customer-, feature-, and workflow-level cost attribution.
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