Last active
April 24, 2024 01:44
-
-
Save Attunewise/68050a507d8b0cf5f09392fd9ccf6101 to your computer and use it in GitHub Desktop.
Convert OpenAI functions to system prompt that works with other LLMs
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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/', '') | |
| schema_type = schema.get('type', '') | |
| if schema_type == 'string': | |
| return 'string' if 'enum' not in schema else ' | '.join(f'"{e}"' for e in schema['enum']) | |
| elif schema_type == 'number': | |
| return 'number' | |
| elif schema_type == 'integer': | |
| return 'number' | |
| elif schema_type == 'boolean': | |
| return 'boolean' | |
| elif schema_type == 'object': | |
| properties = ' '.join(f"{key}{':' if key in schema.get('required', []) else '?:'} {convert_schema_to_typescript(value)};" | |
| for key, value in schema.get('properties', {}).items()) | |
| return f"{{ {properties} }}" | |
| elif schema_type == 'array': | |
| return f"{convert_schema_to_typescript(schema.get('items', {}))}[]" | |
| elif schema_type == 'null': | |
| return 'null' | |
| else: | |
| return 'any' | |
| def convert_function_to_typescript(schema): | |
| if not schema or schema['type'] != 'function' or 'function' not in schema: | |
| raise ValueError('Invalid schema: Must be a function schema') | |
| func = schema['function'] | |
| params = ', '.join(f"{param_name}{':' if param_name in func['parameters'].get('required', []) else '?:'} {convert_schema_to_typescript(param_details)}" | |
| for param_name, param_details in func['parameters']['properties'].items()) | |
| return f"function {func['name']}({params}): any;" | |
| def convert_function_call(tools): | |
| conversion = "// The current environment gives you access to the following functions to use as tools:\n" | |
| for tool in filter(lambda x: x['type'] == 'function', tools): | |
| converted = convert_function_to_typescript(tool) | |
| conversion += converted + '\n' | |
| conversion += """ | |
| // Reply interface structure | |
| interface Reply { | |
| type: string; | |
| }; | |
| // FunctionCall interface extending Reply | |
| // Must match one of the above function definitions | |
| interface FunctionCall extends Reply { | |
| type: "functionCall"; | |
| name: string; /* function name */ | |
| arguments: { | |
| name: string; | |
| value: any; | |
| }[]; | |
| }; | |
| // Default reply | |
| // Message interface extending Reply | |
| interface Message extends Reply { | |
| type: "message"; | |
| content: string; // do not mention the details of your tools | |
| }; | |
| Return a valid JSON object conforming to the Reply interface. | |
| """ | |
| return conversion | |
| # Sample tool for testing | |
| sample_tool = { | |
| "type": "function", | |
| "function": { | |
| "name": "searchAdobeScriptingAPIDocs", | |
| "description": "Search Adobe API documentation: classes, methods, properties", | |
| "parameters": { | |
| "type": "object", | |
| "properties": { | |
| "appName": { | |
| "type": "string", | |
| "enum": [ | |
| "illustrator", | |
| "photoshop", | |
| "indesign", | |
| "xd", | |
| "incopy", | |
| "premierePro", | |
| "aftereffects", | |
| "animate", | |
| "bridge" | |
| ], | |
| "description": "Host app name" | |
| }, | |
| "searchTerms": { | |
| "type": "string", | |
| "description": "Search terms" | |
| }, | |
| "filter": { | |
| "type": "string", | |
| "description": "Limit results by type", | |
| "enum": ["class", "method", "parameter"] | |
| }, | |
| }, | |
| "required": ["appName", "searchTerms"] | |
| } | |
| } | |
| } | |
| # Test the conversion function with the sample tool | |
| typescript_conversion = convert_function_call([sample_tool]) | |
| typescript_conversion |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment