cohere¶
A module for interacting with Cohere chat models.
CohereCall
¶
Bases: BaseCall[CohereCallResponse, CohereCallResponseChunk, CohereTool]
A base class for calling Cohere's chat models.
Example:
from mirascope.cohere import CohereCall
class BookRecommender(CohereCall):
prompt_template = "Please recommend a {genre} book"
genre: str
response = BookRecommender(genre="fantasy").call()
print(response.content)
#> There are many great books to read, it ultimately depends...
Source code in mirascope/cohere/calls.py
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|
call(retries=1, **kwargs)
¶
Makes a call to the model using this CohereCall
instance.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Returns:
Type | Description |
---|---|
CohereCallResponse
|
A |
Source code in mirascope/cohere/calls.py
call_async(retries=1, **kwargs)
async
¶
Makes an asynchronous call to the model using this CohereCall
.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Returns:
Type | Description |
---|---|
CohereCallResponse
|
An |
Source code in mirascope/cohere/calls.py
messages()
¶
Returns the template as a formatted list of messages.
Source code in mirascope/cohere/calls.py
stream(retries=1, **kwargs)
¶
Streams the response for a call using this CohereCall
.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Yields:
Type | Description |
---|---|
CohereCallResponseChunk
|
A |
Source code in mirascope/cohere/calls.py
stream_async(retries=1, **kwargs)
async
¶
Streams the response for an asynchronous call using this CohereCall
.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Yields:
Type | Description |
---|---|
AsyncGenerator[CohereCallResponseChunk, None]
|
A |
Source code in mirascope/cohere/calls.py
CohereCallParams
¶
Bases: BaseCallParams[CohereTool]
The parameters to use when calling the Cohere chat API.
Source code in mirascope/cohere/types.py
kwargs(tool_type=CohereTool, exclude=None)
¶
Returns the keyword argument call parameters.
Source code in mirascope/cohere/types.py
CohereCallResponse
¶
Bases: BaseCallResponse[NonStreamedChatResponse, CohereTool]
A convenience wrapper around the Cohere NonStreamedChatResponse
response.
When using Mirascope's convenience wrappers to interact with Cohere chat models via
CohereCall
, responses using CohereCall.call()
will return a CohereCallResponse
whereby the implemented properties allow for simpler syntax and a convenient
developer experience.
Example:
from mirascope.cohere import CohereCall
class BookRecommender(CohereCall):
prompt_template = "Please recommend a {genre} book"
genre: str
response = Bookrecommender(genre="fantasy").call()
print(response.content)
#> The Name of the Wind
print(response.message)
#> ...
print(response.choices)
#> ...
Source code in mirascope/cohere/types.py
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|
citations: Optional[list[ChatCitation]]
property
¶
Returns the citations for the 0th choice message.
content: str
property
¶
Returns the content of the chat completion for the 0th choice.
documents: Optional[list[ChatDocument]]
property
¶
Returns the documents for the 0th choice message.
search_queries: Optional[list[ChatSearchQuery]]
property
¶
Returns the search queries for the 0th choice message.
search_results: Optional[list[ChatSearchResult]]
property
¶
Returns the search results for the 0th choice message.
tool: Optional[CohereTool]
property
¶
Returns the 0th tool for the 0th choice message.
Raises:
Type | Description |
---|---|
ValidationError
|
if the tool call doesn't match the tool's schema. |
tool_calls: Optional[list[ToolCall]]
property
¶
Returns the tool calls for the 0th choice message.
tools: Optional[list[CohereTool]]
property
¶
Returns the tools for the 0th choice message.
Raises:
Type | Description |
---|---|
ValidationError
|
if a tool call doesn't match the tool's schema. |
dump()
¶
Dumps the response to a dictionary.
CohereCallResponseChunk
¶
Bases: BaseCallResponseChunk[StreamedChatResponse, CohereTool]
Convenience wrapper around chat completion streaming chunks.
When using Mirascope's convenience wrappers to interact with Cohere models via
CohereCall.stream
, responses will return an CohereCallResponseChunk
, whereby
the implemented properties allow for simpler syntax and a convenient developer
experience.
Example:
```python from mirascope.cohere import CohereCall
class Math(CohereCall): prompt_template = "What is 1 + 2?"
for chunk in CohereCall().stream(): print(chunk.content)
> 1¶
+¶
2¶
equals¶
¶
3¶
.¶
Source code in mirascope/cohere/types.py
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|
citations: Optional[list[ChatCitation]]
property
¶
Returns the citations for citation-generation event type else None.
content: str
property
¶
Returns the content for the 0th choice delta.
documents: Optional[list[ChatDocument]]
property
¶
Returns the documents for citation-generation event type else None.
event_type: Literal['stream-start', 'search-queries-generation', 'search-results', 'text-generation', 'citation-generation', 'tool-calls-generation', 'stream-end']
property
¶
Returns the type of the chunk.
response: Optional[NonStreamedChatResponse]
property
¶
Returns the response for text-generation event type else None.
search_queries: Optional[list[ChatSearchQuery]]
property
¶
Returns the search queries for search-query event type else None.
search_results: Optional[list[ChatSearchResult]]
property
¶
Returns the search results for search-results event type else None.
tool_calls: Optional[list[ToolCall]]
property
¶
Returns the partial tool calls for the 0th choice message.
CohereEmbedder
¶
Bases: BaseEmbedder[CohereEmbeddingResponse]
Cohere Embedder
model max_dimensions embed-english-v3.0 1024 embed-multilingual-v3.0 1024 embed-english-light-v3.0 384 embed-multilingual-light-v3.0 384 embed-english-v2.0 4096 embed-english-light-v2.0 1024 embed-multilingual-v2.0 768
Example:
import os
from mirascope.cohere import CohereEmbedder
os.environ["CO_API_KEY"] = "YOUR_COHERE_API_KEY"
cohere_embedder = CohereEmbedder()
response = cohere_embedder.embed(["your text to embed"])
print(response)
Source code in mirascope/cohere/embedders.py
__call__(input)
¶
Call the embedder with a input
Chroma expects parameter to be input
.
Source code in mirascope/cohere/embedders.py
embed(inputs)
¶
Call the embedder with multiple inputs
Source code in mirascope/cohere/embedders.py
embed_async(inputs)
async
¶
Asynchronously call the embedder with multiple inputs
Source code in mirascope/cohere/embedders.py
CohereExtractor
¶
Bases: BaseExtractor[CohereCall, CohereTool, Any, T]
, Generic[T]
A class for extracting structured information using Cohere chat models.
Example:
from typing import Literal, Type
from mirascope.cohere import CohereExtractor
from pydantic import BaseModel
class TaskDetails(BaseModel):
title: str
priority: Literal["low", "normal", "high"]
due_date: str
class TaskExtractor(CohereExtractor[TaskDetails]):
extract_schema: Type[TaskDetails] = TaskDetails
prompt_template = """
Please extract the task details:
{task}
"""
task: str
task_description = "Submit quarterly report by next Friday. Task is high priority."
task = TaskExtractor(task=task_description).extract(retries=3)
assert isinstance(task, TaskDetails)
print(task)
#> title='Submit quarterly report' priority='high' due_date='next Friday'
Source code in mirascope/cohere/extractors.py
extract(retries=0, **kwargs)
¶
Extracts extract_schema
from the Cohere call response.
The extract_schema
is converted into an CohereTool
, complete with a
description of the tool, all of the fields, and their types. This allows us to
take advantage of Cohere's tool/function calling functionality to extract
information from a prompt according to the context provided by the BaseModel
schema.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
retries |
Union[int, Retrying]
|
The maximum number of times to retry the query on validation error. |
0
|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Returns:
Type | Description |
---|---|
T
|
The |
Raises:
Type | Description |
---|---|
AttributeError
|
if there is no tool in the call creation. |
ValidationError
|
if the schema cannot be instantiated from the completion. |
Source code in mirascope/cohere/extractors.py
extract_async(retries=0, **kwargs)
async
¶
Asynchronously extracts extract_schema
from the Cohere call response.
The extract_schema
is converted into an CohereTool
, complete with a
description of the tool, all of the fields, and their types. This allows us to
take advantage of Cohere's tool/function calling functionality to extract
information from a prompt according to the context provided by the BaseModel
schema.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
retries |
Union[int, AsyncRetrying]
|
The maximum number of times to retry the query on validation error. |
0
|
**kwargs |
Any
|
Additional keyword arguments parameters to pass to the call. These
will override any existing arguments in |
{}
|
Returns:
Type | Description |
---|---|
T
|
The |
Raises:
Type | Description |
---|---|
AttributeError
|
if there is no tool in the call creation. |
ValidationError
|
if the schema cannot be instantiated from the completion. |
Source code in mirascope/cohere/extractors.py
CohereTool
¶
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
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|
from_base_type(base_type)
classmethod
¶
Constructs a CohereTool
type from a BaseType
type.
from_fn(fn)
classmethod
¶
from_model(model)
classmethod
¶
Constructs a CohereTool
type from a BaseModel
type.
from_tool_call(tool_call)
classmethod
¶
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 |
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
tool_schema()
classmethod
¶
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
cohere_api_calculate_cost(usage, model='command-r')
¶
Calculate the cost of a completion using the Cohere API.
https://cohere.com/pricing
Model Input Output command-r $0.5 / 1M tokens $1.5 / 1M tokens command-r-plus $3 / 1M tokens $15 / 1M tokens