Results for llm_cost_estimation

A Python library for estimating the cost of LLM API calls

Universal LLM context compressor — pipe anything, get token-optimized output

Pre-flight USD cost gate for LLM calls. Estimate input plus output cost from token counts and reject calls that would exceed a configured cap.

Data models and types for OxiFY workflows, execution, and configuration

Multi-channel agentic AI runtime with tool-calling, memory, and scheduling

CLI to estimate the USD cost of an AI-agent transcript (Claude Code, Codex, Pi).

Workflow execution engine for OxiFY - DAG orchestration, scheduling, and state management

High performance code analysis tool — stats, health scores, hotspots, and trends

Core library for codelens - high performance code analysis tool

Rust SDK for BenchGecko -- compare LLM benchmarks, estimate inference costs, and explore AI model performance data across hundreds of providers.

AXON — the formal cognitive language: a deterministic, proof-carrying AI runtime. Native Rust lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the runtime: typed channels (π-calculus mobility, capability extrusion), algebraic effects via Free Monad CPS handlers, lease kernel + reconcile loop, the Epistemic Security Kernel, Trust Types, Proof-Carrying Code (independently verifiable proof objects), and the closed-catalog extension mechanism. Crate publishes as `axon-lang`; library import is `use axon::*` so existing call sites keep working unchanged.

Senior SysAdmin, Network Admin, Data Analyst, and Software Engineer living in your terminal. A high-precision local AI agent harness for LM Studio, Ollama, and other local OpenAI-compatible runtimes that runs 100% on your own silicon. Reads repos, edits files, runs builds, inspects full network state and workstation telemetry, and runs real Python/JS for data analysis.

A highly parallel Perl 5 interpreter written in Rust