added "minimal" reasoning option (better for coding)
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@@ -93,7 +93,7 @@ curl http://127.0.0.1:8000/v1/chat/completions \
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### Thinking effort
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- `--reasoning-effort` (choice of low,medium,high)<br>
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- `--reasoning-effort` (choice of minimal,low,medium,high)<br>
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GPT-5 has a configurable amount of "effort" it can put into thinking, which may cause it to take more time for a response to return, but may overall give a smarter answer. Applying this parameter after `serve` forces the server to use this reasoning effort by default, unless overrided by the API request with a different effort set. The default reasoning effort without setting this parameter is `medium`.
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### Thinking summaries
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@@ -85,7 +85,7 @@ def main() -> None:
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)
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p_serve.add_argument(
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"--reasoning-effort",
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choices=["low", "medium", "high", "none"],
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choices=["minimal", "low", "medium", "high"],
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default=os.getenv("CHATGPT_LOCAL_REASONING_EFFORT", "medium").lower(),
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help="Reasoning effort level for Responses API (default: medium)",
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)
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@@ -9,7 +9,7 @@ def build_reasoning_param(
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effort = (base_effort or "").strip().lower()
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summary = (base_summary or "").strip().lower()
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valid_efforts = {"low", "medium", "high", "none"}
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valid_efforts = {"minimal", "low", "medium", "high"}
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valid_summaries = {"auto", "concise", "detailed", "none"}
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if isinstance(overrides, dict):
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@@ -58,7 +58,7 @@ def start_upstream_request(
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return None, resp
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include: List[str] = []
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if isinstance(reasoning_param, dict) and reasoning_param.get("effort") != "none":
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if isinstance(reasoning_param, dict):
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include.append("reasoning.encrypted_content")
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client_session_id = None
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2
gui.py
2
gui.py
@@ -298,7 +298,7 @@ class MainWindow(QtWidgets.QMainWindow):
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opts.setVerticalSpacing(8)
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opts.addWidget(QtWidgets.QLabel("Reasoning Effort"), 0, 0)
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self.effort = QtWidgets.QComboBox()
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self.effort.addItems(["low", "medium", "high", "none"]) # default medium
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self.effort.addItems(["minimal", "low", "medium", "high"]) # default medium
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self.effort.setCurrentText("medium")
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self.effort.setSizeAdjustPolicy(QtWidgets.QComboBox.AdjustToContents)
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self.effort.setMinimumContentsLength(7)
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