> ## Documentation Index
> Fetch the complete documentation index at: https://www.edgee.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Integrate Edgee to your stack
> Learn how to integrate Edgee to your stack and start using Edgee services in your application.
Edgee can be integrated to your stack in different ways. You can use our SDKs, use our API directly,
or use **our official integrations** with other tools.
## Use our SDKs
```bash theme={"dark"}
npm install edgee
```
```bash theme={"dark"}
pip install edgee
```
```bash theme={"dark"}
go get github.com/edgee-ai/go-sdk
```
```bash theme={"dark"}
cargo install edgee
```
Then, you can start using Edgee in your application. Here is a quick example:
```typescript theme={"dark"}
import Edgee from 'edgee';
const edgee = new Edgee(process.env.EDGEE_API_KEY);
const response = await edgee.send({
model: 'gpt-5.2',
input: 'What is the capital of France?',
});
console.log(response.content);
// "The capital of France is Paris."
if (response.compression) {
console.log(`Tokens saved: ${response.compression.saved_tokens}`);
console.log(`Reduction: ${response.compression.reduction}%`);
console.log(`Cost savings: ${(response.compression.cost_savings / 1_000_000).toFixed(4)}`);
console.log(`Compression time: ${response.compression.time_ms}ms`);
}
// "Tokens saved: 100"
// "Reduction: 50%"
// "Cost savings: $0.0093"
// "Compression time: 100ms"
```
```python theme={"dark"}
from edgee import Edgee
edgee = Edgee(api_key=os.environ["EDGEE_API_KEY"])
response = edgee.send(
model="gpt-5.2",
input="What is the capital of France?"
)
print(response.content)
# "The capital of France is Paris."
if response.compression:
print(f"Tokens saved: {response.compression.saved_tokens}")
print(f"Reduction: {response.compression.reduction}%")
print(f"Cost savings: ${response.compression.cost_savings / 1_000_000:.4f}")
print(f"Compression time: {response.compression.time_ms}ms")
# "Tokens saved: 100"
# "Reduction: 50%"
# "Cost savings: $0.0093"
# "Compression time: 12ms"
```
```go theme={"dark"}
package main
import (
"fmt"
"os"
"github.com/edgee-ai/go-sdk"
)
func main() {
client := edgee.NewClient(os.Getenv("EDGEE_API_KEY"))
response, _ := client.Send(edgee.SendParams{
Model: "gpt-5.2",
Input: "What is the capital of France?",
})
fmt.Println(response.Content)
// "The capital of France is Paris."
if response.Compression != nil {
fmt.Printf("Tokens saved: %d\n", response.Compression.SavedTokens)
fmt.Printf("Reduction: %f%%\n", response.Compression.Reduction)
fmt.Printf("Cost savings: $%.4f\n", float64(response.Compression.CostSavings)/1_000_000)
fmt.Printf("Compression time: %dms\n", response.Compression.TimeMs)
}
// "Tokens saved: 100"
// "Reduction: 50%"
// "Cost savings: $0.0093"
// "Compression time: 12ms"
}
```
```rust theme={"dark"}
use edgee::Edgee;
let api_key = std::env::var("EDGEE_API_KEY").expect("EDGEE_API_KEY not set");
let edgee = Edgee::new(api_key);
let response = edgee.send(edgee::SendRequest {
model: "gpt-5.2".to_string(),
input: "What is the capital of France?".to_string(),
});
println!("{}", response.output_text);
// "The capital of France is Paris."
if response.compression {
println!("Tokens saved: {}", response.compression.saved_tokens);
println!("Reduction: {}", response.compression.reduction);
println!("Cost savings: ${}", response.compression.cost_savings / 1_000_000);
println!("Compression time: {}ms", response.compression.time_ms);
}
// "Tokens saved: 100"
// "Reduction: 50%"
// "Cost savings: $0.0093"
// "Compression time: 12ms"
```
To learn more about the SDKs, see the [individual SDK pages](/sdk).
## Use Edgee in your Framework
You can use Edgee in your preferred Framework by using our official integrations.
Point your existing OpenAI SDK at Edgee, no code changes, just swap the base URL and API key.
Use the Anthropic SDK with Edgee to access Claude and other models through one gateway.
Run chains, agents, and RAG pipelines through Edgee for cost tracking and compression.