mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-09-17 23:51:19 +00:00
fa249a3e38
- Integrate AnthropicChatModel with new AnthropicAsLLM component - Add component formatters for OpenAI and Anthropic chat models - Implement token counter component with estimated token counting - Create base client component for ReMe service communication - Refactor BaseComponent to remove app_context parameter from _start/_close - Update embedding model base class to remove retry logic and use npz cache - Add job component for sequential step execution with BaseJob - Implement step component base class for LLM workflow execution - Enhance application context with proper type annotations - Update component initialization to pass app_context automatically - Remove asyncio dependency from embedding model cache operations
34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
"""Application context for initializing and managing all configured components."""
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from ..enumeration import ComponentEnum
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from ..schema import ApplicationConfig
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class ApplicationContext:
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"""Application context that initializes and manages all configured components.
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This class is responsible for parsing the application configuration,
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resolving backend implementations for each component via the registry,
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and instantiating services, components, and jobs.
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"""
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def __init__(self, **kwargs):
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"""Initialize the application context from configuration kwargs.
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Args:
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**kwargs: Keyword arguments that form the ApplicationConfig,
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including app_name, service, components, and jobs.
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Raises:
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ValueError: If a required backend is missing for the service, any component, or any job,
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or if a service, component, or job references an unregistered backend type.
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"""
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self.app_config: ApplicationConfig = ApplicationConfig(**kwargs)
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from .base_component import BaseComponent
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from .job import BaseJob
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from .service import BaseService
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self.service: BaseService | None = None
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self.components: dict[ComponentEnum, dict[str, BaseComponent]] = {}
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self.jobs: dict[str, BaseJob] = {}
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