feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1
Selecting the Ollama provider pre-fills the model field with the suggested qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -5,6 +5,12 @@ All notable changes to RigDoctor are recorded here. Format follows
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(`MAJOR.MINOR.PATCH`, pre-1.0). `__version__` and `pyproject.toml` must match the git
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(`MAJOR.MINOR.PATCH`, pre-1.0). `__version__` and `pyproject.toml` must match the git
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release tag (so the auto-updater, D18, can compare versions).
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release tag (so the auto-updater, D18, can compare versions).
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## [0.27.1] - 2026-05-22
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### Changed
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- AI assistant: selecting **Ollama** now pre-fills the model field with **`qwen2.5:7b`** (a
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strong 7B that fits an 8 GB GPU; our grounding makes a 7B sufficient). It won't overwrite a
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model you've already entered, and you can change it freely.
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## [0.27.0] - 2026-05-22
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## [0.27.0] - 2026-05-22
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### Added
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### Added
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- **AI assistant (M14, D24)** — optional, **strictly opt-in, never automatic**. Explains your
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- **AI assistant (M14, D24)** — optional, **strictly opt-in, never automatic**. Explains your
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+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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[project]
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name = "rigdoctor"
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name = "rigdoctor"
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version = "0.27.0"
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version = "0.27.1"
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description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
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description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
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readme = "README.md"
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readme = "README.md"
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requires-python = ">=3.11"
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requires-python = ">=3.11"
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@@ -1,3 +1,3 @@
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"""RigDoctor — modular hardware monitoring & crash diagnostics for Linux gamers."""
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"""RigDoctor — modular hardware monitoring & crash diagnostics for Linux gamers."""
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__version__ = "0.27.0"
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__version__ = "0.27.1"
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@@ -24,6 +24,9 @@ from . import ai_knowledge
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PROVIDERS = ("ollama", "claude")
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PROVIDERS = ("ollama", "claude")
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OLLAMA_DEFAULT_ENDPOINT = "http://localhost:11434"
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OLLAMA_DEFAULT_ENDPOINT = "http://localhost:11434"
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# Suggested Ollama model — strong instruction-following that fits an 8 GB GPU at Q4. Because we
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# ground the prompt with reference facts, a 7B model is sufficient here.
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OLLAMA_SUGGESTED_MODEL = "qwen2.5:7b"
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CLAUDE_ENDPOINT = "https://api.anthropic.com/v1/messages"
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CLAUDE_ENDPOINT = "https://api.anthropic.com/v1/messages"
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CLAUDE_DEFAULT_MODEL = "claude-opus-4-7"
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CLAUDE_DEFAULT_MODEL = "claude-opus-4-7"
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CLAUDE_MAX_TOKENS = 2000
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CLAUDE_MAX_TOKENS = 2000
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@@ -27,7 +27,7 @@ from PySide6.QtWidgets import (
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)
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)
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from .. import config
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from .. import config
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from ..core import alerts, installer, service, sysenv, uninstall, updates
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from ..core import ai, alerts, installer, service, sysenv, uninstall, updates
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from .theme import GOOD, MUTED, WARN
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from .theme import GOOD, MUTED, WARN
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@@ -188,7 +188,8 @@ class SetupPage(QWidget):
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ai_layout.addLayout(prov_row)
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ai_layout.addLayout(prov_row)
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self._ai_model = QLineEdit()
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self._ai_model = QLineEdit()
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self._ai_model.setPlaceholderText("Model (e.g. llama3.1 for Ollama; blank = Claude default)")
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self._ai_model.setPlaceholderText(
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f"Model (e.g. {ai.OLLAMA_SUGGESTED_MODEL} for Ollama; blank = Claude default)")
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ai_layout.addWidget(self._ai_model)
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ai_layout.addWidget(self._ai_model)
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self._ai_endpoint = QLineEdit()
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self._ai_endpoint = QLineEdit()
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self._ai_endpoint.setPlaceholderText("Ollama server URL (default http://localhost:11434)")
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self._ai_endpoint.setPlaceholderText("Ollama server URL (default http://localhost:11434)")
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@@ -286,6 +287,8 @@ class SetupPage(QWidget):
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self._ai_endpoint.setVisible(prov == "ollama")
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self._ai_endpoint.setVisible(prov == "ollama")
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self._ai_key.setVisible(prov == "claude")
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self._ai_key.setVisible(prov == "claude")
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self._ai_test_btn.setEnabled(prov != "")
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self._ai_test_btn.setEnabled(prov != "")
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if prov == "ollama" and not self._ai_model.text().strip():
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self._ai_model.setText(ai.OLLAMA_SUGGESTED_MODEL) # suggested default; user can change
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def _save_ai(self) -> None:
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def _save_ai(self) -> None:
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prov = self._ai_provider()
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prov = self._ai_provider()
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