The Complete Production SOP: How to Deploy and Run Outlines Fast Regex & Pydantic Guided Decoding in Autonomous AI Agents

---
name: "outlines-structured-regex-generation"
description: "Accelerate structured LLM generation with finite state machine (FSM) guided decoding."
metadata:
  author: "dottxt"
  version: "1.0.0"
  runtime_compatibility:
    - "codex"
    - "claude-code"
    - "cursor"
    - "windsurf"
triggers:
  - "generate json with outlines"
  - "constrain model with regex outlines"
  - "fast structured text generation"
permissions:
  fs_read: true
  fs_write: "workspace"
  shell_exec: false
  net_access: false
---

import outlines
from pydantic import BaseModel, Field
from typing import Literal

# Ensure dependencies and schema compiles correctly
class DatabaseSchema(BaseModel):
    table_name: str = Field(..., pattern=r"^[a-z_]{3,20}$")
    engine: Literal["InnoDB", "RocksDB"]
    primary_key: str

print("Outlines environment and Pydantic definitions successfully verified.")

import outlines
from pydantic import BaseModel, constr
from enum import Enum

class DeploymentStage(str, Enum):
    staging = "staging"
    canary = "canary"
    production = "production"

class DeployCommand(BaseModel):
    cluster_id: constr(pattern=r"^k8s-[a-z]{2}-[0-9]{3}$")
    replicas: int
    stage: DeploymentStage

# Initialize local model with Outlines
model = outlines.models.transformers("mistralai/Mistral-7B-Instruct-v0.2", device="cuda")
generator = outlines.generate.json(model, DeployCommand)

prompt = "Issue canary deployment to European cluster 042 with 5 pods."
result = generator(prompt)
print(f"Validated Structured Output: {result.model_dump_json()}")

import pytest
from pydantic import ValidationError
from generate_guided import DeployCommand

def test_schema_conformance():
    valid_payload = {"cluster_id": "k8s-eu-042", "replicas": 5, "stage": "canary"}
    instance = DeployCommand(**valid_payload)
    assert instance.cluster_id == "k8s-eu-042"

def test_regex_rejection():
    invalid_payload = {"cluster_id": "invalid_k8s_id", "replicas": 5, "stage": "canary"}
    with pytest.raises(ValidationError):
        DeployCommand(**invalid_payload)