mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-14 06:17:23 +00:00
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.
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import Optional
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from docsgpt.llm.openai import OpenAILLM
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from docsgpt.llm.providers.base import Provider
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class OpenAIProvider(Provider):
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name = "openai"
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llm_class = OpenAILLM
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def get_api_key(self, settings) -> Optional[str]:
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if settings.OPENAI_API_KEY:
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return settings.OPENAI_API_KEY
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if settings.LLM_PROVIDER == self.name and settings.API_KEY:
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return settings.API_KEY
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return None
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def is_enabled(self, settings) -> bool:
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# When the deployment is pointed at a custom OpenAI-compatible
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# endpoint (Ollama, LM Studio, ...), the cloud-OpenAI catalog is
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# suppressed but ``is_enabled`` stays True — necessary so the
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# filter below still gets to drop the catalog (rather than the
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# registry skipping the provider entirely and missing the rule).
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if settings.OPENAI_BASE_URL:
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return True
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return bool(self.get_api_key(settings))
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def filter_yaml_models(self, settings, models):
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# Legacy local-endpoint mode hides the cloud catalog. The
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# corresponding dynamic models live in OpenAICompatibleProvider.
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if settings.OPENAI_BASE_URL:
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return []
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if not settings.OPENAI_API_KEY:
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return []
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return models
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