Attunewise

-- Generated Lang model program.
-- Source architecture: qwen2
-- Layers: 24
-- Plan operations: 508
-- The model constants below are generated from GGUF metadata. The function
-- composition is ordinary Lang; kernel launches are supplied by typeclass
-- evidence and can be replaced one family at a time.

import Lang.Prelude
import Lang.Prelude.Open

Attunewise

const { GPT4Tokenizer } = require('gpt4-tokenizer')
const json = require('./conversations.json')
const tokenizer = new GPT4Tokenizer({type:'gpt-3'})
const nodes = []
for (const row of json) {
  let id = row.current_node
  const { mapping } = row
  while (id) {
    const node = mapping[id]
    if (node.message) {

Attunewise

# Converts OpenAI compatible function calling JSON schema to a prompt that instructs the LLM to return
# a JSON object that is a choice of a function call conforming to one of the functions or a message reply

def convert_schema_to_typescript(schema):
    if not schema:
        return 'any'

    if '$ref' in schema:
        return schema['$ref'].replace('#/definitions/', '')