Parse and validate tool calls

Problem

An agent sends tool schemas to a model and gets tool calls back. The arguments in a reply can have the wrong types, missing fields or extra keys. Before the agent runs a tool, it must parse each call and validate its arguments. Errors with exact paths let the model fix the call in one more turn.

Task

Write three functions. Use the standard library json module only.

1. parse_tool_calls(reply_text) parses the raw JSON body of a chat completion reply. The calls are in body["choices"][0]["message"]["tool_calls"]. Each call has an id and a function with a name and an arguments field. The arguments field is a JSON string, not an object. Return one dict {"id": ..., "name": ..., "arguments": ...} for each call, in reply order, where arguments is the decoded dict.

- If tool_calls is missing or null, return [].

- If arguments is an empty or blank string, the arguments are {}.

- If arguments is not valid JSON, or does not decode to a JSON object, raise ValueError.

2. validate_args(schema, args) checks a value against a JSON Schema subset and returns a list of error strings. An empty list means the value is valid.
3. check_reply(reply_text, schemas) parses the reply and returns one pair (id, errors) for each call, in reply order. schemas maps a tool name to its schema. For a name that is not in schemas, the errors are ["/: unknown tool <name>"].

The schema subset has these keywords: type, properties, required, enum, additionalProperties and items. A type is one of object, array, string, integer, number, boolean and null. The JSON type of a Python value is:

The type integer matches the JSON type integer only, so 1.0 does not match. The type number matches integer and number. A boolean never matches integer or number.

Check one value at a path with these steps, in this order:

1. If the schema has type and the value does not match it, add <path>: expected <type>, got <json type>. Stop. Do not check the children.
2. If the schema has enum and the value is not in the list (Python ==), add <path>: value <json.dumps(value)> is not in <json.dumps(enum)>. Stop.
3. If the type is object:

1. For each name in required, in list order, that is not a key of the value, add <path>/<name>: missing required property.

2. Then for each key of the value, in its input order: if the key is in properties, check the child value at <path>/<key>. Else, if additionalProperties is false, add <path>/<key>: unexpected property. Without additionalProperties: false, extra keys are allowed.

4. If the type is array and the schema has items, check each element at <path>/<index>, in index order.

A path is a JSON pointer. The root value has the path /. A child path is the parent path, a slash and the segment. The child of the root / with key city is /city. In a segment, replace ~ with ~0 first, then replace / with ~1.

Input and output

• parse_tool_calls returns a list of dict.
• validate_args returns a list of str.
• check_reply returns a list of (str, list of str) tuples.

Constraints

• Schemas nest at most 5 levels deep.
• Do not change the schema or the arguments.
• Use the standard library only.

Examples

pythonCopyREPLY = '{"choices": [{"message": {"role": "assistant", "content": null, "tool_calls": [{"id": "call_abc123", "type": "function", "function": {"name": "get_weather", "arguments": "{\\"city\\":\\"Bengaluru\\",\\"units\\":\\"celsius\\"}"}}, {"id": "call_def456", "type": "function", "function": {"name": "get_weather", "arguments": "{\\"city\\":42,\\"units\\":\\"kelvin\\",\\"days\\":3}"}}]}, "finish_reason": "tool_calls"}]}'
WEATHER = {
    "type": "object",
    "properties": {
        "city": {"type": "string"},
        "units": {"type": "string", "enum": ["celsius", "fahrenheit"]},
    },
    "required": ["city", "units"],
    "additionalProperties": False,
}
parse_tool_calls(REPLY)

textCopy[{'id': 'call_abc123', 'name': 'get_weather', 'arguments': {'city': 'Bengaluru', 'units': 'celsius'}}, {'id': 'call_def456', 'name': 'get_weather', 'arguments': {'city': 42, 'units': 'kelvin', 'days': 3}}]

pythonCopycheck_reply(REPLY, {"get_weather": WEATHER})

textCopy[('call_abc123', []), ('call_def456', ['/city: expected string, got integer', '/units: value "kelvin" is not in ["celsius", "fahrenheit"]', '/days: unexpected property'])]

pythonCopyUSER = {
    "type": "object",
    "required": ["id", "tags"],
    "properties": {
        "id": {"type": "integer"},
        "tags": {"type": "array", "items": {"type": "string", "enum": ["a", "b"]}},
        "score": {"type": "number"},
        "active": {"type": "boolean"},
    },
    "additionalProperties": False,
}
validate_args(USER, {"id": True, "tags": ["a", "c", 3], "score": 1, "extra/x": 1, "active": 1})

textCopy['/id: expected integer, got boolean', '/tags/1: value "c" is not in ["a", "b"]', '/tags/2: expected string, got integer', '/extra~1x: unexpected property', '/active: expected boolean, got integer']