> ## Documentation Index
> Fetch the complete documentation index at: https://docs.traceport.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Why Traceport

> Unified API, cost optimization, reliability, and deep observability for your AI stack.

## Why Choose Traceport

Building AI applications today means juggling multiple provider SDKs, managing API keys across services, and stitching together observability from scratch. Traceport solves this by providing a single, unified layer for your entire AI stack.

## The Problem

<AccordionGroup>
  <Accordion title="Provider Lock‑In">
    Switching between OpenAI, Anthropic, and Google requires rewriting integration code, managing separate API keys, and adapting to different response formats.
  </Accordion>

  <Accordion title="No Visibility">
    Most teams have little insight into per-request costs, token usage, or latency distribution across models and providers.
  </Accordion>

  <Accordion title="Reliability Gaps">
    When a provider goes down, your application goes down. Building failover logic from scratch is complex and error‑prone.
  </Accordion>

  <Accordion title="Prompt Drift">
    System prompts hardcoded in application code become unmanageable — no version control, no rollbacks, no ability to update without redeploying.
  </Accordion>
</AccordionGroup>

## The Traceport Solution

### Unified API

Access all AI models through a single, consistent endpoint. No more provider‑specific SDKs.

```python theme={null}
from openai import OpenAI

# Just change the base URL — everything else stays the same
client = OpenAI(
    api_key="<TRACEPORT_API_KEY>",
    base_url="https://api.traceport.ai/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)
```

### Cost Optimization

Traceport tracks every token and every dollar. Use the dashboard to identify expensive models and optimize routing to reduce costs without sacrificing quality.

### Reliability

Built‑in failover and retry mechanisms ensure high availability. [Config Workflows](/config-workflows/overview) let you define automatic fallbacks — if OpenAI is down, route to Anthropic seamlessly.

### Security

Enterprise‑grade key management with encryption at rest. Your provider keys are stored securely and never exposed to your application code.

### Observability

Deep insights into every request and response with real‑time analytics. Track latency, token usage, costs, and error rates across all providers from a [single dashboard](/overview/dashboard).

<Card title="Get Started →" icon="rocket" href="/quickstart" horizontal>
  Integrate Traceport in under 5 minutes.
</Card>