Bases: BaseTool[ToolCall]
A base class for easy use of tools with the Cohere chat client.
CohereTool
internally handles the logic that allows you to use tools with simple
calls such as CohereCallResponse.tool
or CohereTool.fn
, as seen in the
examples below.
Example:
from mirascope.cohere import CohereCall, CohereCallParams
def animal_matcher(fav_food: str, fav_color: str) -> str:
"""Tells you your most likely favorite animal from personality traits.
Args:
fav_food: your favorite food.
fav_color: your favorite color.
Returns:
The animal most likely to be your favorite based on traits.
"""
return "Your favorite animal is the best one, a frog."
class AnimalMatcher(CohereCall):
prompt_template = """
Tell me my favorite animal if my favorite food is {food} and my
favorite color is {color}.
"""
food: str
color: str
call_params = CohereCallParams(tools=[animal_matcher])
response = AnimalMatcher(food="pizza", color="red").call
tool = response.tool
print(tool.fn(**tool.args))
#> Your favorite animal is the best one, a frog.
Source code in mirascope/cohere/tools.py
| class CohereTool(BaseTool[ToolCall]):
'''A base class for easy use of tools with the Cohere chat client.
`CohereTool` internally handles the logic that allows you to use tools with simple
calls such as `CohereCallResponse.tool` or `CohereTool.fn`, as seen in the
examples below.
Example:
```python
from mirascope.cohere import CohereCall, CohereCallParams
def animal_matcher(fav_food: str, fav_color: str) -> str:
"""Tells you your most likely favorite animal from personality traits.
Args:
fav_food: your favorite food.
fav_color: your favorite color.
Returns:
The animal most likely to be your favorite based on traits.
"""
return "Your favorite animal is the best one, a frog."
class AnimalMatcher(CohereCall):
prompt_template = """
Tell me my favorite animal if my favorite food is {food} and my
favorite color is {color}.
"""
food: str
color: str
call_params = CohereCallParams(tools=[animal_matcher])
response = AnimalMatcher(food="pizza", color="red").call
tool = response.tool
print(tool.fn(**tool.args))
#> Your favorite animal is the best one, a frog.
```
'''
tool_call: SkipJsonSchema[SkipValidation[ToolCall]]
@classmethod
def tool_schema(cls) -> Tool:
"""Constructs a tool schema for use with the Cohere chat client.
A Mirascope `CohereTool` is deconstructed into a JSON schema, and relevant keys
are renamed to match the Cohere tool schema used to make function/tool calls in
the Cohere chat API.
Returns:
The constructed tool schema.
"""
tool_schema = super().tool_schema()
parameter_definitions = None
if "parameters" in tool_schema:
if "$defs" in tool_schema["parameters"]:
raise ValueError(
"Unfortunately Cohere's chat API cannot handle nested structures "
"with $defs."
)
parameter_definitions = {
prop: ToolParameterDefinitionsValue(
description=prop_schema["description"]
if "description" in prop_schema
else None,
type=prop_schema["type"],
required="required" in tool_schema["parameters"]
and prop in tool_schema["parameters"]["required"],
)
for prop, prop_schema in tool_schema["parameters"]["properties"].items()
}
return Tool(
name=tool_schema["name"],
description=tool_schema["description"],
parameter_definitions=parameter_definitions,
)
@classmethod
def from_tool_call(cls, tool_call: ToolCall) -> CohereTool:
"""Extracts an instance of the tool constructed from a tool call response.
Given `ToolCall` from an Cohere chat completion response, takes its function
arguments and creates an `CohereTool` instance from it.
Args:
tool_call: The `...` to extract the tool from.
Returns:
An instance of the tool constructed from the tool call.
Raises:
ValidationError: if the tool call doesn't match the tool schema.
"""
model_json = tool_call.parameters
model_json["tool_call"] = tool_call # type: ignore
return cls.model_validate(model_json)
@classmethod
def from_model(cls, model: Type[BaseModel]) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a `BaseModel` type."""
return convert_base_model_to_tool(model, CohereTool)
@classmethod
def from_fn(cls, fn: Callable) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a function."""
return convert_function_to_tool(fn, CohereTool)
@classmethod
def from_base_type(cls, base_type: Type[BaseType]) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a `BaseType` type."""
return convert_base_type_to_tool(base_type, CohereTool)
|
Constructs a CohereTool
type from a BaseType
type.
Source code in mirascope/cohere/tools.py
| @classmethod
def from_base_type(cls, base_type: Type[BaseType]) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a `BaseType` type."""
return convert_base_type_to_tool(base_type, CohereTool)
|
Constructs a CohereTool
type from a function.
Source code in mirascope/cohere/tools.py
| @classmethod
def from_fn(cls, fn: Callable) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a function."""
return convert_function_to_tool(fn, CohereTool)
|
Constructs a CohereTool
type from a BaseModel
type.
Source code in mirascope/cohere/tools.py
| @classmethod
def from_model(cls, model: Type[BaseModel]) -> Type[CohereTool]:
"""Constructs a `CohereTool` type from a `BaseModel` type."""
return convert_base_model_to_tool(model, CohereTool)
|
Extracts an instance of the tool constructed from a tool call response.
Given ToolCall
from an Cohere chat completion response, takes its function
arguments and creates an CohereTool
instance from it.
Parameters:
Name |
Type |
Description |
Default |
tool_call |
ToolCall
|
The ... to extract the tool from.
|
required
|
Returns:
Type |
Description |
CohereTool
|
An instance of the tool constructed from the tool call.
|
Raises:
Type |
Description |
ValidationError
|
if the tool call doesn't match the tool schema.
|
Source code in mirascope/cohere/tools.py
| @classmethod
def from_tool_call(cls, tool_call: ToolCall) -> CohereTool:
"""Extracts an instance of the tool constructed from a tool call response.
Given `ToolCall` from an Cohere chat completion response, takes its function
arguments and creates an `CohereTool` instance from it.
Args:
tool_call: The `...` to extract the tool from.
Returns:
An instance of the tool constructed from the tool call.
Raises:
ValidationError: if the tool call doesn't match the tool schema.
"""
model_json = tool_call.parameters
model_json["tool_call"] = tool_call # type: ignore
return cls.model_validate(model_json)
|
Constructs a tool schema for use with the Cohere chat client.
A Mirascope CohereTool
is deconstructed into a JSON schema, and relevant keys
are renamed to match the Cohere tool schema used to make function/tool calls in
the Cohere chat API.
Returns:
Type |
Description |
Tool
|
The constructed tool schema.
|
Source code in mirascope/cohere/tools.py
| @classmethod
def tool_schema(cls) -> Tool:
"""Constructs a tool schema for use with the Cohere chat client.
A Mirascope `CohereTool` is deconstructed into a JSON schema, and relevant keys
are renamed to match the Cohere tool schema used to make function/tool calls in
the Cohere chat API.
Returns:
The constructed tool schema.
"""
tool_schema = super().tool_schema()
parameter_definitions = None
if "parameters" in tool_schema:
if "$defs" in tool_schema["parameters"]:
raise ValueError(
"Unfortunately Cohere's chat API cannot handle nested structures "
"with $defs."
)
parameter_definitions = {
prop: ToolParameterDefinitionsValue(
description=prop_schema["description"]
if "description" in prop_schema
else None,
type=prop_schema["type"],
required="required" in tool_schema["parameters"]
and prop in tool_schema["parameters"]["required"],
)
for prop, prop_schema in tool_schema["parameters"]["properties"].items()
}
return Tool(
name=tool_schema["name"],
description=tool_schema["description"],
parameter_definitions=parameter_definitions,
)
|