Integrations
Uncensored LLM API for Rust
Use reqwest to post chat completions to the abliteration.ai OpenAI-compatible endpoint.
Quick start
Example request
use reqwest::Client;
use serde_json::json;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = Client::new();
let resp = client
.post("https://api.abliteration.ai/v1/chat/completions")
.bearer_auth(std::env::var("ABLIT_KEY")?)
.json(&json!({
"model": "abliterated-model",
"messages": [{ "role": "user", "content": "Hello from Rust." }]
}))
.send()
.await?;
let body = resp.text().await?;
println!("{}", body);
Ok(())
}Service notes
- Pricing model: Usage-based pricing (~$5 per 1M tokens) billed on total tokens (input + output). See the API pricing page for current plans.
- Data retention: No prompt/output retention by default. Operational telemetry (token counts, timestamps, error codes) is retained for billing and reliability.
- Compatibility: OpenAI-style /v1/chat/completions request and response format with a base URL switch.
- Latency: Depends on model size, prompt length, and load. Streaming reduces time-to-first-token.
- Throughput: Team plans include priority throughput. Actual throughput varies with demand.
- Rate limits: Limits vary by plan and load. Handle 429s with backoff and respect any Retry-After header.
Common errors & fixes
- 401 Unauthorized: Check that your API key is set and sent as a Bearer token.
- 404 Not Found: Make sure the base URL ends with /v1 and you call /chat/completions.
- 400 Bad Request: Verify the model id and that messages are an array of { role, content } objects.
- 429 Rate limit: Back off and retry. Use the Retry-After header for pacing.