mirror of
https://github.com/tiennm99/DocsGPT.git
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Alex
574f96341e
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
22 lines
773 B
Python
22 lines
773 B
Python
from docsgpt.llm.handlers.anthropic import AnthropicLLMHandler
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from docsgpt.llm.handlers.base import LLMHandler
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from docsgpt.llm.handlers.google import GoogleLLMHandler
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from docsgpt.llm.handlers.openai import OpenAILLMHandler
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class LLMHandlerCreator:
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handlers = {
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"openai": OpenAILLMHandler,
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"google": GoogleLLMHandler,
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"anthropic": AnthropicLLMHandler,
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"novita": OpenAILLMHandler, # Novita uses OpenAI-compatible API
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"default": OpenAILLMHandler,
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}
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@classmethod
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def create_handler(cls, llm_type: str, *args, **kwargs) -> LLMHandler:
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handler_class = cls.handlers.get(llm_type.lower())
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if not handler_class:
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handler_class = OpenAILLMHandler
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return handler_class(*args, **kwargs)
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