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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.

Related links

  • See API Pricing
  • View Uncensored Models
  • Rate limits
  • Privacy policy
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