llms.txt Content
# fault
> Helping Engineers and AI-agents cooperate to build reliable applications
Build Like You Have a Full Team: Get AI-powered review hints on reliability, performance and best practices.
Ground Your Deliveries: Automate SLO-validated scenarios with zero config - preview your feature under fault in seconds.
Replay Incidents with Ease: Swiftly understand how your application reacts by exploring production flakiness locally.
**Examples**
Scramble a LLM prompt by injecting a system prompt:
```bash
fault run llm openai --case prompt-scramble --instruction "Respond as a pirate. Arr"
```
Introduce latency to all calls made through the fault proxy to any hosts:
```bash
fault run --with-latency --latency-mean 300 --upstream '*'
```
Generate a test scenario for a given, OpenAPI specification:
```bash
fault scenario generate --scenario scenario.yaml --spec-url http://example.com/openapi.json
```
Run a scenario:
```bash
fault scenario run --scenario scenario.yaml
```
Generate a deep analysis of scenario results with a SRE feel:
```bash
fault agent scenario-review --results results.json
```
Run fault as a MCP server:
```bash
fault agent tool
```
## Explanations
- [Understanding Fault Injection - Purpose and Use in Reliability Engineering - fault](https://fault-project.com/explanations/fault-injection-basics/): Understanding Fault Injection - Purpose and Use in Reliability Engineering
- [My Technical Journey Through fault - fault](https://fault-project.com/explanations/technical-journey/): My Technical Journey Through fault
- [Understanding eBPF and its Context In Reliability Engineering - fault](https://fault-project.com/explanations/understanding-ebpf/): Understanding eBPF and its Context In Reliability Engineering
- [Why fault? - fault](https://fault-project.com/explanations/why-fault/): Why fault?
## How-to
- [Install the fault CLI - fault](https://fault-project.com/how-to/install/): Install the fault CLI
- [Run with Chaos Toolkit - fault](https://fault-proj