README.md updated

README.md

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 ## Overview
 HASHIRU is an agent-based framework designed to dynamically allocate and manage large language models (LLMs) and external APIs through a CEO model. The CEO model acts as a central manager, capable of hiring, firing, and directing multiple specialized agents (employees) over a given budget. It can also create and utilize external APIs as needed, making it highly flexible and scalable.
+
+## Features
+- **Cost-Benefit Matrix**:  
+  Selects the best LLM model (LLaMA, Mixtral, Gemini, DeepSeek, etc.) for any task using Ollama, based on latency, size, cost, quality, and speed.
+## Usage:
+
+```bash
+python tools/cost_benefit.py \
+  --prompt "Best places to visit in Davis" \
+  --latency 4 --size 2 --cost 5 --speed 3
+```
+Each weight is on a scale of **1** (least important) to **5** (most important):
+
+- `--latency`: Prefer faster responses (lower time to answer)
+- `--size`: Prefer smaller models (use less memory/resources)
+- `--cost`: Prefer cheaper responses (fewer tokens, lower token price)
+- `--speed`: Prefer models that generate tokens quickly (tokens/sec)