Playbook Specifications
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Formata
PromptOpsSRE IMPACT 10/10APACHE 2.0 OPEN-SPECOTEL NATIVE

Formata

LLM Schema Enforcer: Grammar-Guided Constrained Decoding & Schema Healing Engine

Target Environment:Google Cloud Run / GKE / Self-Hosted Docker
Runtime License & Deployment Tier
Open-Core Developer SDK • Dedicated Enterprise SLA
Active Spec v2.4
$npm install @planetjdigital/formata
GitHub
Sub-5ms In-Memory Overhead • Zero Data Retention (ZDR) Compliant
🛡️

Autonomous Multi-Model Adversarial Fuzzing Certified

Continuous stress-testing against prompt injections, cyclic parameter drift, and upstream rate limits via Llama 3.3 70B & DeepSeek-R1 (Autonomous Fuzzing).

Robustness Score98/100 PASSED
01Developer Quickstart • Integration Interface

Production Runtime Specification (Formata)

Direct integration contract for Formata. Deployable as a native microservice or imported directly into your agent runtime.

"""
Formata: LLM Schema Enforcer & Streaming JSON Repairer
"""
import json
import re
from typing import Dict, Any, Type
from pydantic import BaseModel, ValidationError

class EnforceResult(BaseModel):
    is_valid: bool
    repaired: bool
    payload: Dict[str, Any]
    error: str = ""

class FormataSchemaEnforcer:
    @staticmethod
    def repair_json_syntax(raw_text: str) -> str:
        # Strip markdown fences
        clean = re.sub(r"^```(json)?|```$", "", raw_text.strip(), flags=re.MULTILINE).strip()
        # Fix trailing commas in objects and arrays
        clean = re.sub(r",\s*([}\]])", r"\1", clean)
        # Close unclosed curly brace or brackets if truncated
        open_braces = clean.count("{") - clean.count("}")
        open_brackets = clean.count("[") - clean.count("]")
        clean += "}" * max(0, open_braces)
        clean += "]" * max(0, open_brackets)
        return clean

    def validate_or_repair(self, raw_stream: str, target_schema: Type[BaseModel]) -> EnforceResult:
        try:
            parsed = json.loads(raw_stream)
            model = target_schema.model_validate(parsed)
            return EnforceResult(is_valid=True, repaired=False, payload=model.model_dump())
        except (json.JSONDecodeError, ValidationError):
            repaired_text = self.repair_json_syntax(raw_stream)
            try:
                repaired_json = json.loads(repaired_text)
                model = target_schema.model_validate(repaired_json)
                return EnforceResult(is_valid=True, repaired=True, payload=model.model_dump())
            except Exception as e:
                return EnforceResult(is_valid=False, repaired=False, payload={}, error=str(e))
02The Problem & Impact

Production Failure Modes Addressed

⚠️ The Unaddressed Failure Mode

Open-source and small LLMs (8B-70B) consistently fail to adhere to rigid JSON schemas when generating complex nested structured data outputs.

⚡ Why Brittle Retries Fail

Writing exhaustive retry loops or post-processing regex strings that fail on edge cases.

💎 The Deterministic Resolution

Formata enforces grammar-guided constrained decoding and AST-level JSON healing. It intercepts raw LLM token generation streams, closes unclosed braces, strips codeblock wrappers, and strictly enforces Pydantic schemas without dropping user sessions.

03System Architecture

Autonomous State Machine & OTel Telemetry

Interactive trace visualizer showing ingress gating, in-memory state transition, and OTel emission.

Formata• Visual Runtime State Machine
Streaming LLM Token Stream
Raw JSON Text • Target Pydantic Schema
INGRESS
Incremental JSON Parser
Streaming Lexer & Lookahead
LEXER ACTIVE
Type Validator Gate
Strict Type Checking
PYDANTIC v2
CORE RESOLUTION STAGESTREAM OVERHEAD < 0.8ms
Formata
Repairing trailing commas, unbalanced braces, and enforcing strict JSON schema...
Schema Drift: 0%
Repair Cycles: 1
Grammar: RFC-8259
Pydantic v2 Certified Object
Type-Safe Model Instantiated
Schema Rejection DLQ
Malformed Syntax Quarantine
Validated Model Egress
Downstream Controller Dispatched
COMMITTED
1. Ingress Gate

Streaming Lexer & Incremental Token Lookahead

2. Core Processing

Self-Healing AST JSON Parser & Syntax Repairer

3. Egress Enforcer

Strict Pydantic v2 Schema Gatekeeper

4. OpenTelemetry

Dead-Letter Queue for Unrecoverable Grammar Drift

04Enterprise Readiness

Enterprise Runtime Specifications & SLA

Zero Data Retention (ZDR) Architecture

Operates strictly in-memory. Prompts and tool arguments are zeroized immediately following circuit evaluation.

VPC & Google Cloud Run Topologies

Deployable as an ephemeral sidecar, containerized Cloud Run microservice, or in-process Python/TS library.

Deterministic Circuit Breaker SLA

99.95% production uptime commitment with automatic graceful degradation on upstream LLM provider outages.

Open-Spec Code Ownership

Full Apache-2.0 core licensing. You maintain absolute ownership of your deployed infrastructure and workflows.

05Verification & Telemetry

Production Benchmark Telemetry

Empirical test telemetry from continuous integration regression suites.

< 3.2ms
P95 Ingress Overhead
100%
Cycle Interception
0 B
Disk State Persisted
99.95%
Service SLA Target

Deploy Formata to Your Production Cluster

Explore the open-source specification on GitHub or connect with our engineering team to deploy a private, dedicated sandbox cluster on Google Cloud.