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add deepseek-coder-v2 in siliconflow (#6149)
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api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml
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model: deepseek-ai/DeepSeek-Coder-V2-Instruct | ||
label: | ||
en_US: deepseek-ai/DeepSeek-Coder-V2-Instruct | ||
model_type: llm | ||
features: | ||
- agent-thought | ||
model_properties: | ||
mode: chat | ||
context_size: 32768 | ||
parameter_rules: | ||
- name: temperature | ||
use_template: temperature | ||
- name: max_tokens | ||
use_template: max_tokens | ||
type: int | ||
default: 512 | ||
min: 1 | ||
max: 4096 | ||
help: | ||
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。 | ||
en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. | ||
- name: top_p | ||
use_template: top_p | ||
- name: frequency_penalty | ||
use_template: frequency_penalty | ||
pricing: | ||
input: '1.33' | ||
output: '1.33' | ||
unit: '0.000001' | ||
currency: RMB |
4 changes: 1 addition & 3 deletions
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api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml
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4 changes: 1 addition & 3 deletions
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api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml
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4 changes: 1 addition & 3 deletions
4
api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml
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4 changes: 1 addition & 3 deletions
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api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml
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api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml
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api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml
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4 changes: 1 addition & 3 deletions
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api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml
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api/tests/integration_tests/model_runtime/siliconflow/test_llm.py
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import os | ||
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 | ||
from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage | ||
from core.model_runtime.errors.validate import CredentialsValidateFailedError | ||
from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel | ||
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def test_validate_credentials(): | ||
model = SiliconflowLargeLanguageModel() | ||
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with pytest.raises(CredentialsValidateFailedError): | ||
model.validate_credentials( | ||
model='deepseek-ai/DeepSeek-V2-Chat', | ||
credentials={ | ||
'api_key': 'invalid_key' | ||
} | ||
) | ||
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model.validate_credentials( | ||
model='deepseek-ai/DeepSeek-V2-Chat', | ||
credentials={ | ||
'api_key': os.environ.get('API_KEY') | ||
} | ||
) | ||
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def test_invoke_model(): | ||
model = SiliconflowLargeLanguageModel() | ||
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response = model.invoke( | ||
model='deepseek-ai/DeepSeek-V2-Chat', | ||
credentials={ | ||
'api_key': os.environ.get('API_KEY') | ||
}, | ||
prompt_messages=[ | ||
UserPromptMessage( | ||
content='Who are you?' | ||
) | ||
], | ||
model_parameters={ | ||
'temperature': 0.5, | ||
'max_tokens': 10 | ||
}, | ||
stop=['How'], | ||
stream=False, | ||
user="abc-123" | ||
) | ||
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assert isinstance(response, LLMResult) | ||
assert len(response.message.content) > 0 | ||
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def test_invoke_stream_model(): | ||
model = SiliconflowLargeLanguageModel() | ||
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response = model.invoke( | ||
model='deepseek-ai/DeepSeek-V2-Chat', | ||
credentials={ | ||
'api_key': os.environ.get('API_KEY') | ||
}, | ||
prompt_messages=[ | ||
UserPromptMessage( | ||
content='Hello World!' | ||
) | ||
], | ||
model_parameters={ | ||
'temperature': 0.5, | ||
'max_tokens': 100, | ||
'seed': 1234 | ||
}, | ||
stream=True, | ||
user="abc-123" | ||
) | ||
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assert isinstance(response, Generator) | ||
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for chunk in response: | ||
assert isinstance(chunk, LLMResultChunk) | ||
assert isinstance(chunk.delta, LLMResultChunkDelta) | ||
assert isinstance(chunk.delta.message, AssistantPromptMessage) | ||
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(): | ||
model = SiliconflowLargeLanguageModel() | ||
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num_tokens = model.get_num_tokens( | ||
model='deepseek-ai/DeepSeek-V2-Chat', | ||
credentials={ | ||
'api_key': os.environ.get('API_KEY') | ||
}, | ||
prompt_messages=[ | ||
SystemPromptMessage( | ||
content='You are a helpful AI assistant.', | ||
), | ||
UserPromptMessage( | ||
content='Hello World!' | ||
) | ||
] | ||
) | ||
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assert num_tokens == 12 |
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api/tests/integration_tests/model_runtime/siliconflow/test_provider.py
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import os | ||
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import pytest | ||
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from core.model_runtime.errors.validate import CredentialsValidateFailedError | ||
from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider | ||
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def test_validate_provider_credentials(): | ||
provider = SiliconflowProvider() | ||
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with pytest.raises(CredentialsValidateFailedError): | ||
provider.validate_provider_credentials( | ||
credentials={} | ||
) | ||
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provider.validate_provider_credentials( | ||
credentials={ | ||
'api_key': os.environ.get('API_KEY') | ||
} | ||
) |