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add deepseek-coder-v2 in siliconflow (#6149)
This commit is contained in:
SiliconFlow, Inc
GitHub
parent
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commit
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@ -0,0 +1,30 @@
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model: deepseek-ai/DeepSeek-Coder-V2-Instruct
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label:
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en_US: deepseek-ai/DeepSeek-Coder-V2-Instruct
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model_type: llm
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features:
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- agent-thought
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model_properties:
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mode: chat
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context_size: 32768
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parameter_rules:
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- name: temperature
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use_template: temperature
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- name: max_tokens
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use_template: max_tokens
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type: int
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default: 512
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min: 1
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max: 4096
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help:
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zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
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en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
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- name: top_p
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use_template: top_p
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- name: frequency_penalty
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use_template: frequency_penalty
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pricing:
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input: '1.33'
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output: '1.33'
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unit: '0.000001'
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currency: RMB
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@ -1,11 +1,9 @@
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model: deepseek-ai/deepseek-v2-chat
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label:
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en_US: deepseek-ai/deepseek-v2-chat
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en_US: deepseek-ai/DeepSeek-V2-Chat
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 32768
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@ -1,11 +1,9 @@
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model: zhipuai/glm4-9B-chat
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label:
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en_US: zhipuai/glm4-9B-chat
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en_US: THUDM/glm-4-9b-chat
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 32768
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@ -1,11 +1,9 @@
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model: alibaba/Qwen2-57B-A14B-Instruct
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label:
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en_US: alibaba/Qwen2-57B-A14B-Instruct
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en_US: Qwen/Qwen2-57B-A14B-Instruct
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 32768
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@ -1,11 +1,9 @@
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model: alibaba/Qwen2-72B-Instruct
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label:
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en_US: alibaba/Qwen2-72B-Instruct
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en_US: Qwen/Qwen2-72B-Instruct
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 32768
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@ -1,11 +1,9 @@
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model: alibaba/Qwen2-7B-Instruct
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label:
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en_US: alibaba/Qwen2-7B-Instruct
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en_US: Qwen/Qwen2-7B-Instruct
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 32768
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@ -1,11 +1,9 @@
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model: 01-ai/Yi-1.5-34B-Chat
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label:
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en_US: 01-ai/Yi-1.5-34B-Chat
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en_US: 01-ai/Yi-1.5-34B-Chat-16K
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 16384
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@ -3,9 +3,7 @@ label:
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en_US: 01-ai/Yi-1.5-6B-Chat
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 4096
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@ -1,11 +1,9 @@
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model: 01-ai/Yi-1.5-9B-Chat
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label:
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en_US: 01-ai/Yi-1.5-9B-Chat
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en_US: 01-ai/Yi-1.5-9B-Chat-16K
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model_type: llm
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features:
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- multi-tool-call
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- agent-thought
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- stream-tool-call
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model_properties:
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mode: chat
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context_size: 16384
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@ -19,7 +19,7 @@ class SiliconflowProvider(ModelProvider):
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model_instance = self.get_model_instance(ModelType.LLM)
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model_instance.validate_credentials(
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model='deepseek-ai/deepseek-v2-chat',
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials=credentials
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)
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except CredentialsValidateFailedError as ex:
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@ -0,0 +1,106 @@
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import os
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from collections.abc import Generator
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import pytest
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from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
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from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel
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def test_validate_credentials():
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model = SiliconflowLargeLanguageModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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}
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)
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def test_invoke_model():
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model = SiliconflowLargeLanguageModel()
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response = model.invoke(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Who are you?'
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)
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],
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model_parameters={
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'temperature': 0.5,
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'max_tokens': 10
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},
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stop=['How'],
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stream=False,
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user="abc-123"
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)
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assert isinstance(response, LLMResult)
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assert len(response.message.content) > 0
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def test_invoke_stream_model():
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model = SiliconflowLargeLanguageModel()
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response = model.invoke(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.5,
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'max_tokens': 100,
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'seed': 1234
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},
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stream=True,
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user="abc-123"
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)
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assert isinstance(response, Generator)
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for chunk in response:
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
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def test_get_num_tokens():
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model = SiliconflowLargeLanguageModel()
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num_tokens = model.get_num_tokens(
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model='deepseek-ai/DeepSeek-V2-Chat',
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credentials={
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'api_key': os.environ.get('API_KEY')
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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]
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)
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assert num_tokens == 12
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@ -0,0 +1,21 @@
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import os
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import pytest
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider
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def test_validate_provider_credentials():
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provider = SiliconflowProvider()
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with pytest.raises(CredentialsValidateFailedError):
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provider.validate_provider_credentials(
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credentials={}
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)
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provider.validate_provider_credentials(
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credentials={
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'api_key': os.environ.get('API_KEY')
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}
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)
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