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Documentation Index

Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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ToolFunctionDefinition

Wraps a FunctionSchema inside a ToolFunction. Each tool in deployment.prompt.tools has a definition of this type.

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Import

from adaline_api.models.tool_function_definition import ToolFunctionDefinition

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Fields

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var_schema
FunctionSchema
required
The function schema. Aliased as schema in JSON — use var_schema in Python to avoid collision with the Python reserved word. See FunctionSchema.

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Example

from adaline_api.models.tool_function_definition import ToolFunctionDefinition
from adaline_api.models.function_schema import FunctionSchema

definition = ToolFunctionDefinition(
    var_schema=FunctionSchema(
        name="search_database",
        description="Search internal knowledge base",
        parameters={
            "type": "object",
            "properties": {
                "query": {"type": "string", "description": "Search query"},
                "limit": {"type": "number", "default": 10}
            },
            "required": ["query"]
        }
    )
)

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Accessing from a deployment

from adaline.main import Adaline

adaline = Adaline()
deployment = await adaline.get_latest_deployment(
    prompt_id="prompt_abc123",
    deployment_environment_id="environment_abc123"
)

for tool in deployment.prompt.tools:
    fn = tool.definition.var_schema
    print(f"{fn.name}: {fn.description}")