# Examples
## Rust Examples
### Basic Usage
Demonstrates library usage: token counting, generators, latency profiles, and streaming.
```bash
cargo run --example basic_usage
```
### Responses API Usage
Demonstrates the OpenAI Responses API types, structures, and streaming:
```bash
cargo run --example responses_usage
```
## Python Examples
Python examples require the server to be running first:
```bash
# Start server (headless)
cargo run --release -- serve --port 8080
# Or start with TUI dashboard to watch stats in real-time
cargo run --release -- serve --port 8080 --tui
```
### OpenAI SDK (Chat Completions)
Direct usage of the official OpenAI Python library with Chat Completions API:
```bash
uv run examples/openai_client.py
```
### Responses API Client
Using the OpenAI Responses API with httpx:
```bash
uv run examples/responses_client.py
```
### LangChain
Using LangChain's OpenAI-compatible client:
```bash
uv run examples/langchain_client.py
```
## TypeScript Example
Direct usage of the official OpenAI Node.js library:
```bash
npm install openai
npx tsx examples/openai_client.ts
```
### Custom Server URL
```bash
LLMSIM_URL=http://localhost:8080 uv run examples/responses_client.py
LLMSIM_URL=http://localhost:8080/openai uv run examples/openai_client.py
```
## Stats API
You can fetch real-time server statistics:
```bash
Response includes:
- Request counts (total, active, streaming, non-streaming)
- Token usage (prompt, completion, total)
- Error breakdown (rate limits, server errors, timeouts)
- Latency metrics (avg, min, max)
- Requests per second
- Per-model request distribution