Leptonai integrate (#4079)

api/core/model_runtime/model_providers/leptonai/leptonai.py

@@ -0,0 +1,29 @@
+import logging
+
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.__base.model_provider import ModelProvider
+
+logger = logging.getLogger(__name__)
+
+class LeptonAIProvider(ModelProvider):
+
+    def validate_provider_credentials(self, credentials: dict) -> None:
+        """
+        Validate provider credentials
+        if validate failed, raise exception
+
+        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
+        """
+        try:
+            model_instance = self.get_model_instance(ModelType.LLM)
+
+            model_instance.validate_credentials(
+                model='llama2-7b',
+                credentials=credentials
+            )
+        except CredentialsValidateFailedError as ex:
+            raise ex
+        except Exception as ex:
+            logger.exception(f'{self.get_provider_schema().provider} credentials validate failed')
+            raise ex

api/core/model_runtime/model_providers/leptonai/leptonai.yaml

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+provider: leptonai
+label:
+  zh_Hans: Lepton AI
+  en_US: Lepton AI
+icon_small:
+  en_US: icon_s_en.png
+icon_large:
+  en_US: icon_l_en.png
+background: "#F5F5F4"
+help:
+  title:
+    en_US: Get your API Key from Lepton AI
+    zh_Hans: 从 Lepton AI 获取 API Key
+  url:
+    en_US: https://dashboard.lepton.ai
+supported_model_types:
+  - llm
+configurate_methods:
+  - predefined-model
+provider_credential_schema:
+  credential_form_schemas:
+    - variable: api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key

api/core/model_runtime/model_providers/leptonai/llm/_position.yaml

@@ -0,0 +1,6 @@
+- gemma-7b
+- mistral-7b
+- mixtral-8x7b
+- llama2-7b
+- llama2-13b
+- llama3-70b

api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml

@@ -0,0 +1,20 @@
+model: gemma-7b
+label:
+  zh_Hans: gemma-7b
+  en_US: gemma-7b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024

api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml

@@ -0,0 +1,20 @@
+model: llama2-13b
+label:
+  zh_Hans: llama2-13b
+  en_US: llama2-13b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024

api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml

@@ -0,0 +1,20 @@
+model: llama2-7b
+label:
+  zh_Hans: llama2-7b
+  en_US: llama2-7b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024

api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml

@@ -0,0 +1,20 @@
+model: llama3-70b
+label:
+  zh_Hans: llama3-70b
+  en_US: llama3-70b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024

api/core/model_runtime/model_providers/leptonai/llm/llm.py

@@ -0,0 +1,34 @@
+from collections.abc import Generator
+from typing import Optional, Union
+
+from core.model_runtime.entities.llm_entities import LLMResult
+from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool
+from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel
+
+
+class LeptonAILargeLanguageModel(OAIAPICompatLargeLanguageModel):
+    MODEL_PREFIX_MAP = {
+        'llama2-7b': 'llama2-7b',
+        'gemma-7b': 'gemma-7b',
+        'mistral-7b': 'mistral-7b',
+        'mixtral-8x7b': 'mixtral-8x7b',
+        'llama3-70b': 'llama3-70b',
+        'llama2-13b': 'llama2-13b',
+    } 
+    def _invoke(self, model: str, credentials: dict,
+                prompt_messages: list[PromptMessage], model_parameters: dict,
+                tools: Optional[list[PromptMessageTool]] = None, stop: Optional[list[str]] = None,
+                stream: bool = True, user: Optional[str] = None) \
+            -> Union[LLMResult, Generator]:
+        self._add_custom_parameters(credentials, model)
+        return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream)
+
+    def validate_credentials(self, model: str, credentials: dict) -> None:
+        self._add_custom_parameters(credentials, model)
+        super().validate_credentials(model, credentials)
+
+    @classmethod
+    def _add_custom_parameters(cls, credentials: dict, model: str) -> None:
+        credentials['mode'] = 'chat'
+        credentials['endpoint_url'] = f'https://{cls.MODEL_PREFIX_MAP[model]}.lepton.run/api/v1'
+        

api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml

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+model: mistral-7b
+label:
+  zh_Hans: mistral-7b
+  en_US: mistral-7b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024

api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml

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+model: mixtral-8x7b
+label:
+  zh_Hans: mixtral-8x7b
+  en_US: mixtral-8x7b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 1024