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.
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
TypeScript
Python
Go
Rust
go get github.com/edgee-ai/go-sdk
TypeScript
Python
Go
Rust
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"
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"
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"
}
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"
Use Edgee in your Framework
You can use Edgee in your preferred Framework by using our official integrations.
OpenAI SDK
Point your existing OpenAI SDK at Edgee, no code changes, just swap the base URL and API key.
Anthropic SDK
Use the Anthropic SDK with Edgee to access Claude and other models through one gateway.
LangChain
Run chains, agents, and RAG pipelines through Edgee for cost tracking and compression.
