# Neo4j Sweden AB [https://neo4j.com]
# #
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# #
# https://www.apache.org/licenses/LICENSE-2.0
# #
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from typing import Any, Optional
from neo4j_graphrag.exceptions import LLMGenerationError
from neo4j_graphrag.llm.base import LLMInterface
from neo4j_graphrag.llm.types import LLMResponse
[docs]
class AnthropicLLM(LLMInterface):
"""Interface for large language models on Anthropic
Args:
model_name (str, optional): Name of the LLM to use. Defaults to "gemini-1.5-flash-001".
model_params (Optional[dict], optional): Additional parameters passed to the model when text is sent to it. Defaults to None.
**kwargs (Any): Arguments passed to the model when for the class is initialised. Defaults to None.
Raises:
LLMGenerationError: If there's an error generating the response from the model.
Example:
.. code-block:: python
from neo4j_graphrag.llm import AnthropicLLM
llm = AnthropicLLM(
model_name="claude-3-opus-20240229",
model_params={"max_tokens": 1000},
api_key="sk...", # can also be read from env vars
)
llm.invoke("Who is the mother of Paul Atreides?")
"""
def __init__(
self,
model_name: str,
model_params: Optional[dict[str, Any]] = None,
**kwargs: Any,
):
try:
import anthropic
except ImportError:
raise ImportError(
"Could not import Anthropic Python client. "
"Please install it with `pip install anthropic`."
)
super().__init__(model_name, model_params)
self.anthropic = anthropic
self.client = anthropic.Anthropic(**kwargs)
self.async_client = anthropic.AsyncAnthropic(**kwargs)
[docs]
def invoke(self, input: str) -> LLMResponse:
"""Sends text to the LLM and returns a response.
Args:
input (str): The text to send to the LLM.
Returns:
LLMResponse: The response from the LLM.
"""
try:
response = self.client.messages.create(
model=self.model_name,
messages=[
{
"role": "user",
"content": input,
}
],
**self.model_params,
)
return LLMResponse(content=response.content)
except self.anthropic.APIError as e:
raise LLMGenerationError(e)
[docs]
async def ainvoke(self, input: str) -> LLMResponse:
"""Asynchronously sends text to the LLM and returns a response.
Args:
input (str): The text to send to the LLM.
Returns:
LLMResponse: The response from the LLM.
"""
try:
response = await self.async_client.messages.create(
model=self.model_name,
messages=[
{
"role": "user",
"content": input,
}
],
**self.model_params,
)
return LLMResponse(content=response.content)
except self.anthropic.APIError as e:
raise LLMGenerationError(e)