Found 12 repositories(showing 12)
Develop a simple yet accurate Resume parsing model using pdfminer and web-app using streamlit to match candidate profiles with suitable job offers, and a chatbot to make cost-effective and efficient hiring solutions for Moroccan startups and companies using llm gpt-3.5-turbo.
BonifaceAlexander
Lightweight LLM cost, token, and latency profiler for any Python AI stack — works with OpenAI, Anthropic, Gemini, local LLMs, and custom APIs.
kiku-jw
Profile-based FastAPI router for LLM providers with cost, latency, and fallback-aware model selection.
BuildWithAbid
Track, visualize, and optimize LLM API spending. Monitor OpenAI & Anthropic costs per feature, detect waste, suggest savings. Zero-config Python profiler.
DevelopedBy-Siva
Profile your LLM payloads. Find the waste. Cut the cost. Field-level token attribution, cost leak detection, and payload optimization for any LLM API.
edward-lcl
Side-channel profiler that detects deceptive intent in LLMs by measuring the computational cost of lying.
opscaleindia
In-house LLM smart router for OpenClaw — 14-dimension classifier, 4 routing profiles, sub-millisecond routing, 99% cost savings
Tarunjit45
Token cost is a design problem, not a billing problem. Most LLM cost overruns come from architectural waste, not model pricing. This tool is a token waste profiler that helps you understand where your tokens are going and which ones are useless.
IngCarlosGM
Open-source LLM chat client with features missing from Claude.ai and ChatGPT: projects with shared context, reusable expert profiles, prompt templates, and cost transparency per message. Self-hosted on AWS, pay only for tokens.
qiyanghe1998
llmperf is a lightweight, open-source toolkit for benchmarking and profiling LLM inference. It provides a unified CLI to run prompts across multiple backends, collect token-level metrics, analyze batching strategies, and compare latency vs. cost trade‑offs.
beautifulgownss
MCP Prompt Router: A lightweight FastAPI service that routes LLM requests across providers using policy profiles. Features pre/post safety guards (PII masking, JSON schema validation), cost/latency-aware decisions, and SQLite trace logging. Built to showcase AI engineering and product engineering skills.
anuskaGHS
InSighto is a web-based AI-powered data analysis and reporting tool that allows users to upload CSV/Excel datasets, perform automated dataset profiling, generate AI-assisted insights using a local LLM (llama3:8b via Ollama), and export structured analysis reports as PDF, all with a focus on privacy and cost-effectiveness.
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