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refactor: rename the application package to docsgpt
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.
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from docsgpt.agents.tools.base import Tool
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THINK_TOOL_ID = "think"
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THINK_TOOL_ENTRY = {
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"name": "think",
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"actions": [
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{
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"name": "reason",
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"description": (
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"Use this tool to think through your reasoning step by step "
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"before deciding on your next action. Always reason before "
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"searching or answering."
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),
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"active": True,
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"parameters": {
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"properties": {
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"reasoning": {
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"type": "string",
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"description": "Your step-by-step reasoning and analysis",
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"filled_by_llm": True,
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"required": True,
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}
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}
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},
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}
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],
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}
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class ThinkTool(Tool):
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"""Pseudo-tool that captures chain-of-thought reasoning.
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Returns a short acknowledgment so the LLM can continue.
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The reasoning content is captured in tool_call data for transparency.
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"""
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internal = True
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def __init__(self, config=None):
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pass
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def execute_action(self, action_name: str, **kwargs):
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return "Continue."
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def get_actions_metadata(self):
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return [
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{
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"name": "reason",
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"description": (
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"Use this tool to think through a complex step — analyze "
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"tool results, weigh options, or plan multi-step work — "
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"before taking your next action."
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),
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"parameters": {
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"properties": {
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"reasoning": {
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"type": "string",
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"description": "Your step-by-step reasoning and analysis",
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"filled_by_llm": True,
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"required": True,
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}
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}
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},
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}
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]
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def get_config_requirements(self):
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return {}
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