Integrations
Uncensored LLM for Ruby on Rails
Use any Ruby HTTP client in Rails to call abliteration.ai by switching the base URL.
Quick start
Example request
require "net/http"
require "json"
uri = URI("https://api.abliteration.ai/v1/chat/completions")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{ENV.fetch("ABLIT_KEY")}"
req["Content-Type"] = "application/json"
req.body = {
model: "abliterated-model",
messages: [{ role: "user", content: "Hello from Rails." }],
}.to_json
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: true) { |http| http.request(req) }
puts res.bodyService 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.