refactor(gui): streamline preset manager and improve tool bias ui

This commit is contained in:
2026-03-10 22:29:43 -04:00
parent fa5ead2c69
commit ca8e33837b
4 changed files with 103 additions and 72 deletions

View File

@@ -16,7 +16,7 @@ paths = [
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_liveexecutionsim.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_project.toml",
]
active = "C:\\projects\\manual_slop\\tests\\artifacts\\live_gui_workspace\\manual_slop.toml"
active = "C:/projects/gencpp/gencpp_sloppy.toml"
[gui]
separate_message_panel = false
@@ -24,7 +24,7 @@ separate_response_panel = false
separate_tool_calls_panel = false
bg_shader_enabled = true
crt_filter_enabled = false
separate_task_dag = true
separate_task_dag = false
separate_usage_analytics = true
separate_tier1 = false
separate_tier2 = false
@@ -36,7 +36,7 @@ separate_tier4 = false
"Files & Media" = true
"AI Settings" = true
"MMA Dashboard" = true
"Task DAG" = true
"Task DAG" = false
"Usage Analytics" = false
"Tier 1" = false
"Tier 2" = false
@@ -53,7 +53,7 @@ Response = false
"Tool Calls" = false
Theme = true
"Log Management" = true
Diagnostics = true
Diagnostics = false
[theme]
palette = "Nord Dark"

View File

@@ -1859,20 +1859,13 @@ class AppController:
else:
self.ui_project_system_prompt = preset.system_prompt
self.ui_project_preset_name = name
if preset.temperature is not None:
self.temperature = preset.temperature
if preset.max_output_tokens is not None:
self.max_tokens = preset.max_output_tokens
def _cb_save_preset(self, name, content, temp, top_p, max_tok, scope):
def _cb_save_preset(self, name, content, scope):
if not name or not name.strip():
raise ValueError("Preset name cannot be empty or whitespace.")
preset = models.Preset(
name=name,
system_prompt=content,
temperature=temp,
top_p=top_p,
max_output_tokens=max_tok
system_prompt=content
)
self.preset_manager.save_preset(preset, scope)
self.presets = self.preset_manager.load_all()

View File

@@ -117,17 +117,16 @@ class App:
self._persona_editor_opened = False
self._personas_list: dict[str, dict] = {}
self._editing_bias_profile_name = ""
self._editing_bias_profile_tool_weights = "" # JSON
self._editing_bias_profile_cat_mults = "" # JSON
self._editing_bias_profile_tool_weights: dict[str, int] = {}
self._editing_bias_profile_category_multipliers: dict[str, float] = {}
self._editing_bias_profile_scope = "project"
self._editing_tool_preset_name = ''
self._editing_tool_preset_categories = {}
self._editing_tool_preset_scope = 'project'
self._selected_tool_preset_idx = -1
self._editing_bias_profile_name = ""
self._editing_bias_profile_tool_weights = "{}"
self._editing_bias_profile_category_multipliers = "{}"
self._selected_bias_profile_idx = -1
self._new_bias_tool_name = "run_powershell"
self._new_bias_category_name = "General"
self._editing_preset_name = ""
self._editing_preset_content = ""
self._editing_preset_temperature = 0.0
@@ -937,9 +936,6 @@ class App:
if imgui.button("New Preset", imgui.ImVec2(-1, 0)):
self._editing_preset_name = ""
self._editing_preset_content = ""
self._editing_preset_temperature = 0.0
self._editing_preset_top_p = 1.0
self._editing_preset_max_output_tokens = 4096
self._editing_preset_scope = "project"
self._editing_preset_is_new = True
imgui.separator()
@@ -949,9 +945,6 @@ class App:
if imgui.selectable(name, is_sel)[0]:
self._editing_preset_name = name
self._editing_preset_content = p.system_prompt
self._editing_preset_temperature = p.temperature if p.temperature is not None else 0.0
self._editing_preset_top_p = p.top_p if p.top_p is not None else 1.0
self._editing_preset_max_output_tokens = p.max_output_tokens if p.max_output_tokens is not None else 4096
self._editing_preset_is_new = False
finally:
imgui.end_child()
@@ -970,23 +963,13 @@ class App:
if imgui.radio_button("Project", self._editing_preset_scope == "project"):
self._editing_preset_scope = "project"
imgui.text("Content:")
_, self._editing_preset_content = imgui.input_text_multiline("##edit_content", self._editing_preset_content, imgui.ImVec2(-1, 280))
imgui.text("Temperature:")
_, self._editing_preset_temperature = imgui.input_float("##edit_temp", self._editing_preset_temperature, 0.1, 1.0, "%.2f")
imgui.text("Top P:")
_, self._editing_preset_top_p = imgui.input_float("##edit_top_p", self._editing_preset_top_p, 0.1, 1.0, "%.2f")
imgui.text("Max Output Tokens:")
_, self._editing_preset_max_output_tokens = imgui.input_int("##edit_max_tokens", self._editing_preset_max_output_tokens)
_, self._editing_preset_content = imgui.input_text_multiline("##edit_content", self._editing_preset_content, imgui.ImVec2(-1, -40))
if imgui.button("Save", imgui.ImVec2(120, 0)):
if self._editing_preset_name.strip():
self.controller._cb_save_preset(
self._editing_preset_name.strip(),
self._editing_preset_content,
self._editing_preset_temperature,
self._editing_preset_top_p,
self._editing_preset_max_output_tokens,
self._editing_preset_scope
)
self.ai_status = f"Preset '{self._editing_preset_name.strip()}' saved to {self._editing_preset_scope}"
@@ -1115,14 +1098,14 @@ class App:
imgui.separator()
imgui.text_colored(C_SUB, "Bias Profiles")
imgui.begin_child("bias_profiles_area", imgui.ImVec2(0, 200), True)
imgui.begin_child("bias_profiles_area", imgui.ImVec2(0, 300), True)
try:
avail_bias = imgui.get_content_region_avail()
imgui.begin_child("bias_list", imgui.ImVec2(200, avail_bias.y), False)
if imgui.button("New Profile", imgui.ImVec2(-1, 0)):
self._editing_bias_profile_name = ""
self._editing_bias_profile_tool_weights = "{}"
self._editing_bias_profile_category_multipliers = "{}"
self._editing_bias_profile_tool_weights = {}
self._editing_bias_profile_category_multipliers = {}
self._selected_bias_profile_idx = -1
imgui.separator()
bnames = sorted(self.bias_profiles.keys())
@@ -1132,23 +1115,74 @@ class App:
self._selected_bias_profile_idx = i
self._editing_bias_profile_name = bname
profile = self.bias_profiles[bname]
self._editing_bias_profile_tool_weights = json.dumps(profile.tool_weights, indent=1)
self._editing_bias_profile_category_multipliers = json.dumps(profile.category_multipliers, indent=1)
self._editing_bias_profile_tool_weights = copy.deepcopy(profile.tool_weights)
self._editing_bias_profile_category_multipliers = copy.deepcopy(profile.category_multipliers)
imgui.end_child()
imgui.same_line()
imgui.begin_child("bias_edit", imgui.ImVec2(0, avail_bias.y), False)
imgui.text("Name:")
_, self._editing_bias_profile_name = imgui.input_text("##b_name", self._editing_bias_profile_name)
imgui.text("Tool Weights (JSON):")
_, self._editing_bias_profile_tool_weights = imgui.input_text_multiline("##b_tw", self._editing_bias_profile_tool_weights, imgui.ImVec2(-1, 60))
imgui.text("Category Multipliers (JSON):")
_, self._editing_bias_profile_category_multipliers = imgui.input_text_multiline("##b_cm", self._editing_bias_profile_category_multipliers, imgui.ImVec2(-1, 60))
imgui.text_colored(C_KEY, "Tool Weights:")
to_remove_tw = []
for tw_name, tw_val in list(self._editing_bias_profile_tool_weights.items()):
imgui.text(f" {tw_name}:")
imgui.same_line(150)
imgui.set_next_item_width(100)
changed, new_val = imgui.slider_int(f"##tw_{tw_name}", tw_val, 1, 10)
if changed: self._editing_bias_profile_tool_weights[tw_name] = new_val
imgui.same_line()
if imgui.button(f"x##rem_tw_{tw_name}"):
to_remove_tw.append(tw_name)
for r in to_remove_tw: del self._editing_bias_profile_tool_weights[r]
# Add Tool Override
imgui.set_next_item_width(150)
if imgui.begin_combo("##add_tw_combo", self._new_bias_tool_name):
for tn in models.AGENT_TOOL_NAMES:
if tn not in self._editing_bias_profile_tool_weights:
if imgui.selectable(tn, tn == self._new_bias_tool_name)[0]:
self._new_bias_tool_name = tn
imgui.end_combo()
imgui.same_line()
if imgui.button("Add Tool Override"):
self._editing_bias_profile_tool_weights[self._new_bias_tool_name] = 5
imgui.dummy(imgui.ImVec2(0, 4))
imgui.text_colored(C_KEY, "Category Multipliers:")
to_remove_cm = []
for cm_name, cm_val in list(self._editing_bias_profile_category_multipliers.items()):
imgui.text(f" {cm_name}:")
imgui.same_line(150)
imgui.set_next_item_width(100)
changed, new_val = imgui.slider_float(f"##cm_{cm_name}", cm_val, 0.1, 5.0, "%.1fx")
if changed: self._editing_bias_profile_category_multipliers[cm_name] = new_val
imgui.same_line()
if imgui.button(f"x##rem_cm_{cm_name}"):
to_remove_cm.append(cm_name)
for r in to_remove_cm: del self._editing_bias_profile_category_multipliers[r]
# Add Category Override
imgui.set_next_item_width(150)
cat_names = sorted(list(models.DEFAULT_TOOL_CATEGORIES.keys()))
if imgui.begin_combo("##add_cm_combo", self._new_bias_category_name):
for cn in cat_names:
if cn not in self._editing_bias_profile_category_multipliers:
if imgui.selectable(cn, cn == self._new_bias_category_name)[0]:
self._new_bias_category_name = cn
imgui.end_combo()
imgui.same_line()
if imgui.button("Add Category Override"):
self._editing_bias_profile_category_multipliers[self._new_bias_category_name] = 1.0
imgui.dummy(imgui.ImVec2(0, 8))
if imgui.button("Save Profile"):
try:
tw = json.loads(self._editing_bias_profile_tool_weights)
cm = json.loads(self._editing_bias_profile_category_multipliers)
prof = models.BiasProfile(name=self._editing_bias_profile_name, tool_weights=tw, category_multipliers=cm)
prof = models.BiasProfile(
name=self._editing_bias_profile_name,
tool_weights=self._editing_bias_profile_tool_weights,
category_multipliers=self._editing_bias_profile_category_multipliers
)
self.controller._cb_save_bias_profile(prof, self._editing_tool_preset_scope)
self.ai_status = f"Bias profile '{prof.name}' saved"
except Exception as e:
@@ -1209,14 +1243,16 @@ class App:
imgui.pop_item_width()
imgui.text("Provider:")
imgui.same_line()
providers = ["gemini", "anthropic", "deepseek"]
providers = self.controller.PROVIDERS
p_idx = providers.index(self._editing_persona_provider) + 1 if self._editing_persona_provider in providers else 0
imgui.push_item_width(120)
_, p_idx = imgui.combo("##pprov", p_idx, ["None"] + providers)
self._editing_persona_provider = providers[p_idx - 1] if p_idx > 0 else ""
imgui.pop_item_width()
imgui.text("Model:")
all_models = ["gemini-2.5-flash", "gemini-3.1-pro-preview", "claude-3-5-sonnet", "deepseek-v3"]
all_models = self.controller.all_available_models.get(self._editing_persona_provider, [])
if not all_models and self._editing_persona_model:
all_models = [self._editing_persona_model]
m_idx = all_models.index(self._editing_persona_model) + 1 if self._editing_persona_model in all_models else 0
imgui.push_item_width(150)
_, m_idx = imgui.combo("##pmodel", m_idx, ["None"] + all_models)
@@ -1238,6 +1274,9 @@ class App:
_, t_idx = imgui.combo("##ptoolpreset", t_idx, preset_names)
self._editing_persona_tool_preset_id = preset_names[t_idx] if t_idx > 0 else None
imgui.pop_item_width()
imgui.same_line()
if imgui.button("Manage Tools##pm"):
self.show_tool_preset_manager_modal = True
# Bias Profile
imgui.text("Bias Profile:")
@@ -1249,22 +1288,34 @@ class App:
self._editing_persona_bias_profile_id = bias_names[b_idx] if b_idx > 0 else None
imgui.pop_item_width()
imgui.text("Pref Models (JSON):")
imgui.text("Pref Models (comma-separated):")
_, self._editing_persona_preferred_models = imgui.input_text("##pprefmodels", self._editing_persona_preferred_models, 256)
imgui.text("Load Prompt Preset:")
imgui.same_line()
prompt_presets = ["None"] + sorted(self.controller.presets.keys())
imgui.push_item_width(150)
changed_pr, pr_idx = imgui.combo("##load_prompt_preset", 0, prompt_presets)
imgui.pop_item_width()
if changed_pr and pr_idx > 0:
pname = prompt_presets[pr_idx]
if pname in self.controller.presets:
p = self.controller.presets[pname]
self._editing_persona_system_prompt = p.system_prompt
if p.temperature is not None: self._editing_persona_temperature = p.temperature
if p.max_output_tokens is not None: self._editing_persona_max_tokens = p.max_output_tokens
imgui.same_line()
if imgui.button("Manage Prompts##pm"):
self.show_preset_manager_modal = True
imgui.text("Prompt:")
_, self._editing_persona_system_prompt = imgui.input_text_multiline("##pprompt", self._editing_persona_system_prompt, imgui.ImVec2(350, 50))
if imgui.button("Save##p", imgui.ImVec2(80, 0)):
if self._editing_persona_name.strip():
try:
import json
pref_models = [m.strip() for m in self._editing_persona_preferred_models.split(",") if m.strip()]
if self._editing_persona_preferred_models.strip() == "[]":
pref_models = []
try:
pref_models = json.loads(self._editing_persona_preferred_models)
if not isinstance(pref_models, list):
pref_models = []
except:
pass
persona = models.Persona(
name=self._editing_persona_name.strip(),
provider=self._editing_persona_provider or None,

View File

@@ -349,30 +349,17 @@ class FileItem:
class Preset:
name: str
system_prompt: str
temperature: Optional[float] = None
top_p: Optional[float] = None
max_output_tokens: Optional[int] = None
def to_dict(self) -> Dict[str, Any]:
res = {
return {
"system_prompt": self.system_prompt,
}
if self.temperature is not None:
res["temperature"] = self.temperature
if self.top_p is not None:
res["top_p"] = self.top_p
if self.max_output_tokens is not None:
res["max_output_tokens"] = self.max_output_tokens
return res
@classmethod
def from_dict(cls, name: str, data: Dict[str, Any]) -> "Preset":
return cls(
name=name,
system_prompt=data.get("system_prompt", ""),
temperature=data.get("temperature"),
top_p=data.get("top_p"),
max_output_tokens=data.get("max_output_tokens"),
)
@dataclass