feat: Add DeepSeek Model component (#5443)

* feat: Add DeepSeek component

* Adiciona DeepseekModelComponent ao __init__.py

* [autofix.ci] apply automated fixes

* Add DeepSeek icon and update component files

* Add DeepSeek icon and update all related files

* [autofix.ci] apply automated fixes

* Change DeepSeek icon color to blue (#080c34)

* [autofix.ci] apply automated fixes

* Revert DeepSeek icon color to black

* [autofix.ci] apply automated fixes

* remove: name parameter from DeepSeekModel to avoid backwards compatibility issues

* test: add unit tests for DeepSeek model component with mocks

* fix: correct formatting issues in DeepSeek model tests

* feat: update DeepSeek icon color to #4c6cfc

* fix: make DeepSeek API key field required

* fix: format SecretStrInput to comply with line length limit in DeepSeekModelComponent

* feat: add dark mode support for component icon

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
This commit is contained in:
Raphael Valdetaro 2025-01-17 14:45:39 -03:00 committed by GitHub
commit 656f9f30db
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7 changed files with 339 additions and 0 deletions

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@ -4,6 +4,7 @@ from .anthropic import AnthropicModelComponent
from .azure_openai import AzureChatOpenAIComponent
from .baidu_qianfan_chat import QianfanChatEndpointComponent
from .cohere import CohereComponent
from .deepseek import DeepSeekModelComponent
from .google_generative_ai import GoogleGenerativeAIComponent
from .groq import GroqModel
from .huggingface import HuggingFaceEndpointsComponent
@ -26,6 +27,7 @@ __all__ = [
"ChatOllamaComponent",
"ChatVertexAIComponent",
"CohereComponent",
"DeepSeekModelComponent",
"GoogleGenerativeAIComponent",
"GroqModel",
"HuggingFaceEndpointsComponent",

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@ -0,0 +1,135 @@
import requests
from pydantic.v1 import SecretStr
from typing_extensions import override
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import LanguageModel
from langflow.field_typing.range_spec import RangeSpec
from langflow.inputs import BoolInput, DictInput, DropdownInput, IntInput, SecretStrInput, SliderInput, StrInput
DEEPSEEK_MODELS = ["deepseek-chat"]
class DeepSeekModelComponent(LCModelComponent):
display_name = "DeepSeek"
description = "Generate text using DeepSeek LLMs."
icon = "DeepSeek"
inputs = [
*LCModelComponent._base_inputs,
IntInput(
name="max_tokens",
display_name="Max Tokens",
advanced=True,
info="Maximum number of tokens to generate. Set to 0 for unlimited.",
range_spec=RangeSpec(min=0, max=128000),
),
DictInput(
name="model_kwargs",
display_name="Model Kwargs",
advanced=True,
info="Additional keyword arguments to pass to the model.",
),
BoolInput(
name="json_mode",
display_name="JSON Mode",
advanced=True,
info="If True, it will output JSON regardless of passing a schema.",
),
DropdownInput(
name="model_name",
display_name="Model Name",
info="DeepSeek model to use",
options=DEEPSEEK_MODELS,
value="deepseek-chat",
refresh_button=True,
),
StrInput(
name="api_base",
display_name="DeepSeek API Base",
advanced=True,
info="Base URL for API requests. Defaults to https://api.deepseek.com",
value="https://api.deepseek.com",
),
SecretStrInput(
name="api_key",
display_name="DeepSeek API Key",
info="The DeepSeek API Key",
advanced=False,
required=True,
),
SliderInput(
name="temperature",
display_name="Temperature",
info="Controls randomness in responses",
value=1.0,
range_spec=RangeSpec(min=0, max=2, step=0.01),
),
IntInput(
name="seed",
display_name="Seed",
info="The seed controls the reproducibility of the job.",
advanced=True,
value=1,
),
]
def get_models(self) -> list[str]:
if not self.api_key:
return DEEPSEEK_MODELS
url = f"{self.api_base}/models"
headers = {"Authorization": f"Bearer {self.api_key}", "Accept": "application/json"}
try:
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
model_list = response.json()
return [model["id"] for model in model_list.get("data", [])]
except requests.RequestException as e:
self.status = f"Error fetching models: {e}"
return DEEPSEEK_MODELS
@override
def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
if field_name in {"api_key", "api_base", "model_name"}:
models = self.get_models()
build_config["model_name"]["options"] = models
return build_config
def build_model(self) -> LanguageModel:
try:
from langchain_openai import ChatOpenAI
except ImportError as e:
msg = "langchain-openai not installed. Please install with `pip install langchain-openai`"
raise ImportError(msg) from e
api_key = SecretStr(self.api_key).get_secret_value() if self.api_key else None
output = ChatOpenAI(
model=self.model_name,
temperature=self.temperature if self.temperature is not None else 0.1,
max_tokens=self.max_tokens or None,
model_kwargs=self.model_kwargs or {},
base_url=self.api_base,
api_key=api_key,
streaming=self.stream if hasattr(self, "stream") else False,
seed=self.seed,
)
if self.json_mode:
output = output.bind(response_format={"type": "json_object"})
return output
def _get_exception_message(self, e: Exception):
"""Get message from DeepSeek API exception."""
try:
from openai import BadRequestError
if isinstance(e, BadRequestError):
message = e.body.get("message")
if message:
return message
except ImportError:
pass
return None

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@ -0,0 +1,112 @@
from unittest.mock import MagicMock
import pytest
from langflow.components.models import DeepSeekModelComponent
from langflow.custom import Component
from langflow.custom.utils import build_custom_component_template
def test_deepseek_initialization():
component = DeepSeekModelComponent()
assert component.display_name == "DeepSeek"
assert component.description == "Generate text using DeepSeek LLMs."
assert component.icon == "DeepSeek"
def test_deepseek_template():
deepseek = DeepSeekModelComponent()
component = Component(_code=deepseek._code)
frontend_node, _ = build_custom_component_template(component)
# Verify basic structure
assert isinstance(frontend_node, dict)
# Verify inputs
assert "template" in frontend_node
input_names = [input_["name"] for input_ in frontend_node["template"].values() if isinstance(input_, dict)]
expected_inputs = [
"max_tokens",
"model_kwargs",
"json_mode",
"model_name",
"api_base",
"api_key",
"temperature",
"seed",
]
for input_name in expected_inputs:
assert input_name in input_names
@pytest.mark.parametrize(
("temperature", "max_tokens"),
[
(0.5, 100),
(1.0, 500),
(1.5, 1000),
],
)
@pytest.fixture
def mock_chat_openai(mocker):
return mocker.patch("langchain_openai.ChatOpenAI")
def test_deepseek_build_model(mock_chat_openai):
component = DeepSeekModelComponent()
component.temperature = 0.7
component.max_tokens = 100
component.api_key = "test-key"
# Mock the ChatOpenAI instance
mock_instance = MagicMock()
mock_chat_openai.return_value = mock_instance
model = component.build_model()
# Verify ChatOpenAI was called with correct params
mock_chat_openai.assert_called_once_with(
max_tokens=100,
model_kwargs={},
model="deepseek-chat",
base_url="https://api.deepseek.com",
api_key="test-key",
temperature=0.7,
seed=1,
streaming=False,
)
assert model == mock_instance
def test_deepseek_get_models(mocker):
component = DeepSeekModelComponent()
# Mock requests.get
mock_get = mocker.patch("requests.get")
mock_response = MagicMock()
mock_response.json.return_value = {"data": [{"id": "deepseek-chat"}, {"id": "deepseek-coder"}]}
mock_get.return_value = mock_response
# Test with API key
component.api_key = "test-key"
models = component.get_models()
assert models == ["deepseek-chat", "deepseek-coder"]
# Verify API call
mock_get.assert_called_once_with(
"https://api.deepseek.com/models",
headers={"Authorization": "Bearer test-key", "Accept": "application/json"},
timeout=10,
)
def test_deepseek_error_handling(mock_chat_openai):
component = DeepSeekModelComponent()
component.api_key = "invalid-key"
# Mock ChatOpenAI to raise exception
mock_chat_openai.side_effect = Exception("Invalid API key")
with pytest.raises(Exception, match="Invalid API key"):
component.build_model()

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@ -0,0 +1,44 @@
import { stringToBool } from "@/utils/utils";
const DeepSeekSVG = (props) => (
<svg
version="1.0"
xmlns="http://www.w3.org/2000/svg"
width="225.000000pt"
height="225.000000pt"
viewBox="0 0 225.000000 225.000000"
preserveAspectRatio="xMidYMid meet"
{...props}
>
<g
transform="translate(0.000000,225.000000) scale(0.100000,-0.100000)"
fill={stringToBool(props.isdark) ? "#1f3a94" : "#4c6cfc"}
stroke="none"
>
<path
d="M1527 1893 c-18 -39 -22 -66 -22 -143 0 -84 3 -102 29 -158 20 -43
47 -80 88 -118 58 -53 59 -56 53 -93 -3 -22 -13 -47 -20 -58 -25 -33 -110 23
-266 174 -76 72 -162 148 -192 168 -90 60 -101 115 -35 177 35 32 40 41 28 49
-27 18 -169 3 -250 -27 -71 -25 -86 -27 -255 -28 -169 -1 -185 -3 -258 -29
-170 -59 -286 -166 -362 -332 -49 -106 -60 -164 -59 -305 1 -94 7 -145 23
-205 76 -283 304 -521 591 -617 92 -31 100 -32 265 -32 133 0 184 3 235 18 84
23 174 66 233 111 l47 36 47 -17 c29 -9 85 -16 138 -17 143 -3 195 15 195 68
0 19 -11 29 -53 48 -30 13 -71 30 -93 37 -69 22 -69 26 -6 99 32 36 73 88 91
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-2 -40 -26 -2 -14 8 -49 22 -77 30 -58 26 -76 -18 -91 -100 -33 -312 102 -429
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m943 -79 c50 -25 130 -115 166 -186 25 -50 27 -57 13 -71 -9 -8 -36 -18 -61
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-46 30 3 8 12 15 19 15 8 0 20 -7 27 -15z"
/>
</g>
</svg>
);
export default DeepSeekSVG;

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@ -0,0 +1,33 @@
<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 20010904//EN"
"http://www.w3.org/TR/2001/REC-SVG-20010904/DTD/svg10.dtd">
<svg version="1.0" xmlns="http://www.w3.org/2000/svg"
width="225.000000pt" height="225.000000pt" viewBox="0 0 225.000000 225.000000"
preserveAspectRatio="xMidYMid meet">
<metadata>
Created by potrace 1.10, written by Peter Selinger 2001-2011
</metadata>
<g transform="translate(0.000000,225.000000) scale(0.100000,-0.100000)"
fill="#000000" stroke="none">
<path d="M1527 1893 c-18 -39 -22 -66 -22 -143 0 -84 3 -102 29 -158 20 -43
47 -80 88 -118 58 -53 59 -56 53 -93 -3 -22 -13 -47 -20 -58 -25 -33 -110 23
-266 174 -76 72 -162 148 -192 168 -90 60 -101 115 -35 177 35 32 40 41 28 49
-27 18 -169 3 -250 -27 -71 -25 -86 -27 -255 -28 -169 -1 -185 -3 -258 -29
-170 -59 -286 -166 -362 -332 -49 -106 -60 -164 -59 -305 1 -94 7 -145 23
-205 76 -283 304 -521 591 -617 92 -31 100 -32 265 -32 133 0 184 3 235 18 84
23 174 66 233 111 l47 36 47 -17 c29 -9 85 -16 138 -17 143 -3 195 15 195 68
0 19 -11 29 -53 48 -30 13 -71 30 -93 37 -69 22 -69 26 -6 99 32 36 73 88 91
114 84 123 156 333 168 488 l6 76 56 13 c75 17 124 43 182 97 60 56 95 125
111 220 10 58 9 74 -1 87 -19 23 -34 20 -67 -15 -41 -44 -99 -68 -164 -69 -57
0 -125 -25 -149 -53 -19 -23 -28 -21 -35 7 -10 39 -55 85 -110 113 -70 35 -93
58 -111 114 -22 66 -48 67 -78 2z m-1161 -544 c190 -33 365 -129 501 -273 38
-39 113 -136 168 -215 105 -151 216 -278 284 -326 23 -15 41 -32 41 -38 0 -14
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-2 -40 -26 -2 -14 8 -49 22 -77 30 -58 26 -76 -18 -91 -100 -33 -312 102 -429
272 -44 64 -103 193 -127 278 -28 100 -37 221 -19 237 28 23 116 28 205 12z
m943 -79 c50 -25 130 -115 166 -186 25 -50 27 -57 13 -71 -9 -8 -36 -18 -61
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</g>
</svg>

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Width:  |  Height:  |  Size: 1.9 KiB

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@ -0,0 +1,11 @@
import { useDarkStore } from "@/stores/darkStore";
import React, { forwardRef } from "react";
import DeepSeekSVG from "./DeepSeekIcon";
export const DeepSeekIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
const isdark = useDarkStore((state) => state.dark).toString();
return <DeepSeekSVG ref={ref} isdark={isdark} {...props} />;
});

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@ -252,6 +252,7 @@ import { ComposioIcon } from "../icons/Composio";
import { ConfluenceIcon } from "../icons/Confluence";
import { CouchbaseIcon } from "../icons/Couchbase";
import { CrewAiIcon } from "../icons/CrewAI";
import { DeepSeekIcon } from "../icons/DeepSeek";
import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
import { EvernoteIcon } from "../icons/Evernote";
import { FBIcon } from "../icons/FacebookMessenger";
@ -670,6 +671,7 @@ export const nodeIconsLucide: iconsType = {
AzureChatOpenAI: OpenAiIcon,
OpenAI: OpenAiIcon,
OpenRouter: OpenRouterIcon,
DeepSeek: DeepSeekIcon,
OpenAIEmbeddings: OpenAiIcon,
Pinecone: PineconeIcon,
Qdrant: QDrantIcon,