Generator

iso8583sim.llm.generator

`MessageGenerator`

MessageGenerator(provider: LLMProvider | str | None = None)

Generates ISO 8583 messages from natural language descriptions. This class uses an LLM to interpret natural language descriptions and generate valid ISO 8583 messages. Example

generator = MessageGenerator()
message = generator.generate("$100 VISA purchase at a gas station")
print(message.mti)  # "0100"
print(message.fields[4])  # "000000010000"

# Generate without validation
message = generator.generate("refund $50", validate=False)

Initialize the MessageGenerator. Parameters

LLMProvider | str | None

default:"None"

LLM provider to use. Can be:

LLMProvider instance: Use directly
str: Provider name (‘anthropic’, ‘openai’, ‘google’, ‘ollama’)
None: Auto-detect available provider

`provider`

Return the LLM provider being used.

`generate()`

def generate(description: str, validate: bool = True) -> ISO8583Message

Generate an ISO 8583 message from a natural language description. Parameters

str

required

Natural language description of the desired message (e.g., “$100 VISA purchase at a gas station in NYC”)

bool

default:"True"

Whether to validate the generated message

ISO8583Message

Valid ISO8583Message object

Raises

GenerationError: If the message cannot be generated or validated

`suggest_fields()`

def suggest_fields(partial_message: ISO8583Message) -> dict[int, str]

Suggest missing fields for a partial message. Parameters

ISO8583Message

required

Partial ISO8583Message with some fields populated

dict[int, str]

Dictionary of suggested field values

Core

Security

Wire formats

Networking

LLM

Servers

Demo

`MessageGenerator`

`provider`

`generate()`

`suggest_fields()`

​MessageGenerator

​provider

​generate()

​suggest_fields()

`MessageGenerator`

`provider`

`generate()`

`suggest_fields()`