An API with
full-vocabulary
logprobs.
Token probabilities for distillation, model comparisons, and evaluation. Full vocabulary on Bielik. Top alternatives on Qwen.
Bielik: full distributions for 1–8 generated positions per request. Guide, Python exporter, and distillation examples included.
Try the actual API.
No account and no mock response. Choose a route, send a prompt, and watch the answer arrive through the same streamed interface available to developers.
One factory, three connected systems.
Inference generates revenue and operational data. Research improves the serving system. CodeSOTA supplies external measurement and model evidence.
Inference API
Use open models through one endpoint with streaming, authentication, usage tracking, and an OpenAI-compatible request shape.
Open the API →02 · LaboratoryLearn from every token
Get full-vocabulary log probabilities from Qwen and Bielik. Build teacher datasets, distill a student, and measure model behavior.
Explore logprobs & distillation →03 · MeasurementCodeSOTA
Independent benchmark evidence answers which model is strongest for a specific capability before it reaches production.
Browse the registry ↗Models available now.
Choose the smallest system that reliably completes the workload, or
let Auto Router choose. Every row maps to an identifier exposed by
/v1/models.
| # | Model | Role | Language / mode | Interface | Status | Action |
|---|---|---|---|---|---|---|
| 00 | Auto Routerauto |
Task-aware model selection | Automatic | STR ROUTE | Live | |
| 01 |
Bielik 11B v3bielik-11b-v3
|
Fast general inference | Polish | STR | Live | |
| 02 | Qwen3.8 27Bqwen3.8-27b |
Agents and tool calling | Direct answer | STR TOOL | Live | |
| 03 |
PLLuM 12Bpllum-12b-instruct-2512
|
Longer Polish context | Polish · 16k | STR | Live | |
| 04 |
Qwen + Bielikqwen-bielik-hybrid
|
Reason, review, edit | Polish synthesis | STR LAB | Live |
Research that returns to production.
The factory loop is deliberately closed: compute produces inference and observations; observations become experiments; verified improvements return to serving.
-
01
Serve
Run real workloads and measure latency, throughput, failures, and cost.
-
02
Evaluate
Compare model behavior on task-relevant evidence rather than generic claims.
-
03
Optimize
Test quantization, batching, routing, prompts, and hardware utilization.
-
04
Ship
Return proven changes to the API and document the operational delta.
Give this to your AI agent.
Paste the instruction into Hermes, Claude Code, Codex, or another coding agent. It tells the agent exactly how to configure Fabryka without exposing your key in source control.
Read the complete Hermes setup guide →Configure this project to use Fabryka AI as an OpenAI-compatible provider. Base URL: https://fabryka.ai/v1 Default model: auto API key environment variable: FABRYKA_API_KEY Requirements: 1. Read the key only from FABRYKA_API_KEY. Never hardcode, print or commit it. 2. Use POST /chat/completions and render streamed SSE deltas incrementally. 3. Preserve OpenAI-format tools, tool_choice, assistant.tool_calls and role: tool messages. 4. Add a connection check using GET /models. 5. Stop and report 401 or 402. Use capped exponential backoff for 429, 502, 503 and 504. 6. Do not send secrets, local files or tool output without explicit user approval. 7. Run one minimal request, then show me the observed result and files changed.
More intelligence
per GPU.
One key. Four open systems.
Generate a test key, inspect the API contract, or connect a background Hermes agent.