Polish Backyard AI experience with Codex
Browse files- README.md +9 -0
- app.py +55 -15
- assets/style.css +68 -0
- test_contextforge.py +7 -0
README.md
CHANGED
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@@ -19,6 +19,15 @@ ContextForge compiles messy software, app, and agent ideas into executable promp
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**Backup Gradio Space:** https://huggingface.co/spaces/RthItalia/ContextForge
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The backend always executes seven isolated modules sequentially:
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1. intake analysis
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**Backup Gradio Space:** https://huggingface.co/spaces/RthItalia/ContextForge
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**Tagline:** From fuzzy brief to build-ready agent blueprint.
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## Backyard AI Fit
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- Built for real builders using AI coding agents.
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- Real problem: vague briefs make Codex and other agents produce wrong code, generic UI, or incomplete workflows.
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- Real use evidence: this architecture was used to coordinate Trollsona development, including UI refactor, model cascade, QA, packaging, and video automation.
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- Small-model fit: ContextForge decomposes a hard prompt-writing task into seven smaller calls so a small model can handle it.
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The backend always executes seven isolated modules sequentially:
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1. intake analysis
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app.py
CHANGED
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@@ -10,7 +10,7 @@ from typing import Any, Callable
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APP_TITLE = "ContextForge"
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-
APP_SUBTITLE = "
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DEFAULT_MODEL_ID = "Qwen/Qwen2.5-0.5B-Instruct"
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DEFAULT_MID_MODEL_ID = "RthItalia/nano_compact_3b_qkvfp16"
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DEFAULT_HIGH_MODEL_ID = "Qwen/Qwen3-32B"
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@@ -93,8 +93,8 @@ class StageResult:
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"stage": stage,
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"source": self.source,
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"model_id": self.model_id,
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"
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"
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}
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@@ -856,6 +856,12 @@ def compile_context(
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def render_metrics(metrics: dict[str, Any]) -> str:
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cards = []
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for label in ["Prompt Integrity", "Context Coverage", "Agent Readiness", "Risk Control"]:
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try:
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score = max(0, min(100, int(metrics.get(label, 0))))
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except (TypeError, ValueError):
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@@ -886,14 +892,14 @@ def render_qa(checks: Any, repair_protocol: Any) -> str:
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def render_runtime(trace: list[dict[str, Any]]) -> str:
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lines = [
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"| Stage | Source |
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"|---|---|---|---:|
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]
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for row in trace:
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lines.append(
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f"| `{row.get('stage')}` | `{row.get('source')}` |
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f"{row.get('
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)
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fallback_stages = [row["stage"] for row in trace if row.get("source") == "deterministic_fallback"]
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lines.append(
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@@ -903,6 +909,13 @@ def render_runtime(trace: list[dict[str, Any]]) -> str:
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return "\n".join(lines)
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def load_example() -> tuple[Any, ...]:
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return (
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"Build a privacy-first issue triage agent that turns raw bug reports into prioritized engineering tickets.",
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@@ -938,15 +951,32 @@ def build_demo() -> Any:
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<section class="forge-hero">
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<div class="hero-kicker">Multi-call small-model pipeline</div>
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<h1>{APP_TITLE}</h1>
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<p>{APP_SUBTITLE}
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<div class="hero-badges"><span>7 isolated calls</span><span>Stage-level fallback</span><span>Private reasoning</span><span>Compiler, not generator</span></div>
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</section>
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"""
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)
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with gr.Row(elem_classes=["forge-layout"]):
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with gr.Column(scale=1, elem_classes=["config-panel"]):
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gr.HTML('<div class="panel-title">Compiler Input</div>')
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-
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with gr.Row():
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target_user = gr.Textbox(label="Target user")
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build_target = gr.Textbox(label="Build target")
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@@ -954,26 +984,31 @@ def build_demo() -> Any:
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topology_choice = gr.Dropdown(TOPOLOGIES, value="Auto", label="Topology")
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risk_level = gr.Dropdown(["Low", "Medium", "High", "Critical"], value="Medium", label="Risk level")
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output_language = gr.Textbox(value="English", label="Output language")
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selected_layers = gr.CheckboxGroup(REASONING_LAYERS, value=["CRAFT", "Pareto 80/20", "Private CoT", "Self-Correction", "Sentinel Recovery"], label="
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with gr.Accordion("Context inputs", open=False):
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user_context = gr.Textbox(label="User context", lines=3)
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project_context = gr.Textbox(label="Project context", lines=3)
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technical_context = gr.Textbox(label="Technical context", lines=3)
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constraints = gr.Textbox(label="Constraints", lines=3)
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inputs_files = gr.Textbox(label="Inputs / files", lines=3)
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with gr.Accordion("Contracts and controls", open=
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output_contract = gr.Textbox(label="Output contract", lines=3)
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failure_modes = gr.Textbox(label="Failure modes", lines=3)
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verification_criteria = gr.Textbox(label="Verification criteria", lines=3)
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with gr.Row():
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compile_button = gr.Button("Compile Architecture", variant="primary")
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example_button = gr.Button("Load Example", variant="secondary")
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with gr.Column(scale=1, elem_classes=["output-panel"]):
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metrics = gr.HTML(value=render_metrics({}))
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gr.HTML('<div class="panel-title">Compiled Output</div>')
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with gr.Accordion("Prompt Pack", open=True):
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prompt_output = gr.Code(
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with gr.Accordion("Architecture Analysis", open=False):
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architecture_output = gr.Markdown()
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with gr.Accordion("Execution Plan", open=False):
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inputs=inputs,
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outputs=[metrics, architecture_output, prompt_output, execution_output, qa_output, runtime_output],
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)
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example_button.click(fn=load_example, inputs=[], outputs=inputs)
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return demo
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APP_TITLE = "ContextForge"
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APP_SUBTITLE = "From fuzzy brief to build-ready agent blueprint."
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DEFAULT_MODEL_ID = "Qwen/Qwen2.5-0.5B-Instruct"
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DEFAULT_MID_MODEL_ID = "RthItalia/nano_compact_3b_qkvfp16"
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DEFAULT_HIGH_MODEL_ID = "Qwen/Qwen3-32B"
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"stage": stage,
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"source": self.source,
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"model_id": self.model_id,
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"fallback_reason": self.note if self.source == "deterministic_fallback" else "",
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"duration_ms": self.elapsed_ms,
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}
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def render_metrics(metrics: dict[str, Any]) -> str:
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cards = []
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for label in ["Prompt Integrity", "Context Coverage", "Agent Readiness", "Risk Control"]:
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if label not in metrics:
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cards.append(
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f'<div class="metric-card metric-pending"><span>{label}</span><strong>—</strong>'
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'<div class="metric-track"><i style="width:0%"></i></div><small>pending</small></div>'
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)
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continue
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try:
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score = max(0, min(100, int(metrics.get(label, 0))))
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except (TypeError, ValueError):
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def render_runtime(trace: list[dict[str, Any]]) -> str:
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lines = [
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"| Stage | Source | Fallback reason | Duration ms |",
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"|---|---|---|---:|",
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]
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for row in trace:
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fallback_reason = clean_text(row.get("fallback_reason"), 240).replace("|", "/") or "—"
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lines.append(
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f"| `{row.get('stage')}` | `{row.get('source')}` | {fallback_reason} | "
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f"{row.get('duration_ms')} |"
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)
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fallback_stages = [row["stage"] for row in trace if row.get("source") == "deterministic_fallback"]
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lines.append(
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return "\n".join(lines)
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def update_mode(mode: str) -> tuple[Any, Any]:
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import gradio as gr
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show_full_control = mode == "Full Control"
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return gr.update(visible=show_full_control), gr.update(visible=show_full_control)
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def load_example() -> tuple[Any, ...]:
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return (
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"Build a privacy-first issue triage agent that turns raw bug reports into prioritized engineering tickets.",
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<section class="forge-hero">
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<div class="hero-kicker">Multi-call small-model pipeline</div>
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<h1>{APP_TITLE}</h1>
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<p class="hero-tagline">{APP_SUBTITLE}</p>
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<p class="hero-description">ContextForge turns messy software, app, and agent ideas into executable prompt architectures.</p>
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<div class="hero-badges"><span>7 isolated calls</span><span>Stage-level fallback</span><span>Private reasoning</span><span>Compiler, not generator</span></div>
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</section>
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<section class="pipeline-strip" aria-label="ContextForge seven-stage pipeline">
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<span>Intake</span><b>→</b><span>Topology</span><b>→</b><span>Vital Structure</span><b>→</b><span>Reasoning</span><b>→</b><span>Prompt Pack</span><b>→</b><span>QA Repair</span><b>→</b><span>Assembly</span>
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</section>
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"""
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)
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with gr.Row(elem_classes=["forge-layout"]):
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with gr.Column(scale=1, elem_classes=["config-panel"]):
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gr.HTML('<div class="panel-title">Compiler Input</div>')
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mode = gr.Radio(
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["Fast Compile", "Full Control"],
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value="Fast Compile",
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label="Compile mode",
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elem_classes=["mode-toggle"],
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)
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gr.HTML(
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'<p class="project-helper">Paste a rough app, agent or workflow idea. ContextForge compiles it into a staged prompt pack for Codex or another coding agent.</p>'
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)
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project_idea = gr.Textbox(
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label="Project idea",
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lines=4,
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placeholder="Example: I want to build a Gradio app that helps students prepare oral exams from a syllabus.",
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)
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with gr.Row():
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target_user = gr.Textbox(label="Target user")
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build_target = gr.Textbox(label="Build target")
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topology_choice = gr.Dropdown(TOPOLOGIES, value="Auto", label="Topology")
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risk_level = gr.Dropdown(["Low", "Medium", "High", "Critical"], value="Medium", label="Risk level")
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output_language = gr.Textbox(value="English", label="Output language")
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selected_layers = gr.CheckboxGroup(REASONING_LAYERS, value=["CRAFT", "Pareto 80/20", "Private CoT", "Self-Correction", "Sentinel Recovery"], label="Cognitive modules")
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with gr.Accordion("Context inputs", open=False, visible=False) as context_inputs_accordion:
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user_context = gr.Textbox(label="User context", lines=3)
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project_context = gr.Textbox(label="Project context", lines=3)
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technical_context = gr.Textbox(label="Technical context", lines=3)
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constraints = gr.Textbox(label="Constraints", lines=3)
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inputs_files = gr.Textbox(label="Inputs / files", lines=3)
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with gr.Accordion("Contracts and controls", open=False, visible=False) as contracts_accordion:
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output_contract = gr.Textbox(label="Output contract", lines=3)
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failure_modes = gr.Textbox(label="Failure modes", lines=3)
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verification_criteria = gr.Textbox(label="Verification criteria", lines=3)
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with gr.Row():
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compile_button = gr.Button("Compile Prompt Architecture", variant="primary")
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example_button = gr.Button("Load Example", variant="secondary")
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with gr.Column(scale=1, elem_classes=["output-panel"]):
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metrics = gr.HTML(value=render_metrics({}))
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gr.HTML('<div class="panel-title">Compiled Output</div>')
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with gr.Accordion("Prompt Pack", open=True):
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prompt_output = gr.Code(
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value="No architecture compiled yet. Fill the project idea and run Compile Prompt Architecture.",
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label="Copyable compiled prompt pack",
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language="markdown",
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lines=28,
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)
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with gr.Accordion("Architecture Analysis", open=False):
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architecture_output = gr.Markdown()
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with gr.Accordion("Execution Plan", open=False):
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inputs=inputs,
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outputs=[metrics, architecture_output, prompt_output, execution_output, qa_output, runtime_output],
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)
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mode.change(
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fn=update_mode,
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inputs=[mode],
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outputs=[context_inputs_accordion, contracts_accordion],
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)
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example_button.click(fn=load_example, inputs=[], outputs=inputs)
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return demo
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assets/style.css
CHANGED
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max-width: 760px;
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}
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.hero-badges {
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display: flex;
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flex-wrap: wrap;
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@@ -86,6 +98,35 @@ body,
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font-size: 0.8rem;
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}
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.forge-layout {
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display: grid !important;
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grid-template-columns: minmax(420px, 0.88fr) minmax(520px, 1.12fr);
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@@ -112,6 +153,21 @@ body,
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margin: 2px 0 12px;
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}
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.gradio-container .block,
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.gradio-container .form,
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.gradio-container .wrap,
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@@ -183,6 +239,18 @@ body,
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margin: 4px 0 7px;
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}
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.metric-track {
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border-radius: 999px;
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background: #182231;
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max-width: 760px;
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| 71 |
}
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+
.forge-hero .hero-tagline {
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color: var(--text);
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font-size: 1.24rem;
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font-weight: 750;
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margin-bottom: 5px;
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}
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+
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.forge-hero .hero-description {
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color: #aab9c8;
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font-size: 0.98rem;
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}
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+
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.hero-badges {
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display: flex;
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flex-wrap: wrap;
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font-size: 0.8rem;
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}
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+
.pipeline-strip {
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border: 1px solid var(--line);
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border-radius: 12px;
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background: rgba(13, 18, 27, 0.92);
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display: flex;
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align-items: center;
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gap: 8px;
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margin-top: 12px;
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overflow-x: auto;
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padding: 10px 12px;
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scrollbar-width: thin;
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}
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.pipeline-strip span {
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border: 1px solid rgba(90, 213, 217, 0.2);
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| 116 |
+
border-radius: 999px;
|
| 117 |
+
background: rgba(90, 213, 217, 0.055);
|
| 118 |
+
color: #c8f1f2;
|
| 119 |
+
flex: 0 0 auto;
|
| 120 |
+
font-size: 0.74rem;
|
| 121 |
+
font-weight: 750;
|
| 122 |
+
padding: 6px 9px;
|
| 123 |
+
}
|
| 124 |
+
|
| 125 |
+
.pipeline-strip b {
|
| 126 |
+
color: var(--blue);
|
| 127 |
+
font-size: 0.78rem;
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
.forge-layout {
|
| 131 |
display: grid !important;
|
| 132 |
grid-template-columns: minmax(420px, 0.88fr) minmax(520px, 1.12fr);
|
|
|
|
| 153 |
margin: 2px 0 12px;
|
| 154 |
}
|
| 155 |
|
| 156 |
+
.project-helper {
|
| 157 |
+
border-left: 2px solid var(--cyan);
|
| 158 |
+
color: #aec0d1;
|
| 159 |
+
font-size: 0.86rem;
|
| 160 |
+
line-height: 1.45;
|
| 161 |
+
margin: 4px 0 10px;
|
| 162 |
+
padding-left: 10px;
|
| 163 |
+
}
|
| 164 |
+
|
| 165 |
+
.mode-toggle {
|
| 166 |
+
border: 1px solid rgba(90, 213, 217, 0.18) !important;
|
| 167 |
+
border-radius: 10px !important;
|
| 168 |
+
background: rgba(8, 13, 21, 0.55) !important;
|
| 169 |
+
}
|
| 170 |
+
|
| 171 |
.gradio-container .block,
|
| 172 |
.gradio-container .form,
|
| 173 |
.gradio-container .wrap,
|
|
|
|
| 239 |
margin: 4px 0 7px;
|
| 240 |
}
|
| 241 |
|
| 242 |
+
.metric-card small {
|
| 243 |
+
color: var(--muted);
|
| 244 |
+
display: block;
|
| 245 |
+
font-size: 0.64rem;
|
| 246 |
+
margin-top: 5px;
|
| 247 |
+
text-transform: uppercase;
|
| 248 |
+
}
|
| 249 |
+
|
| 250 |
+
.metric-pending strong {
|
| 251 |
+
color: var(--muted);
|
| 252 |
+
}
|
| 253 |
+
|
| 254 |
.metric-track {
|
| 255 |
border-radius: 999px;
|
| 256 |
background: #182231;
|
test_contextforge.py
CHANGED
|
@@ -46,6 +46,12 @@ def compile_for(topology: str) -> tuple[str, str, str, str, str, str]:
|
|
| 46 |
|
| 47 |
|
| 48 |
def main() -> None:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
analysis = app.analyze_intake(BASE)
|
| 50 |
topology = app.decide_topology(analysis, "Cascade")
|
| 51 |
vital = app.extract_vital_structure(analysis, topology)
|
|
@@ -71,6 +77,7 @@ def main() -> None:
|
|
| 71 |
assert "strategy | upside | risk | cost | selected" in prompt_text
|
| 72 |
assert "No Chain Of Thought Leakage" in qa_text
|
| 73 |
assert runtime.count("deterministic_fallback") >= 7
|
|
|
|
| 74 |
|
| 75 |
print("ContextForge QA passed.")
|
| 76 |
|
|
|
|
| 46 |
|
| 47 |
|
| 48 |
def main() -> None:
|
| 49 |
+
assert "pending" in app.render_metrics({}).lower()
|
| 50 |
+
fast_updates = app.update_mode("Fast Compile")
|
| 51 |
+
full_updates = app.update_mode("Full Control")
|
| 52 |
+
assert all(update.get("visible") is False for update in fast_updates)
|
| 53 |
+
assert all(update.get("visible") is True for update in full_updates)
|
| 54 |
+
|
| 55 |
analysis = app.analyze_intake(BASE)
|
| 56 |
topology = app.decide_topology(analysis, "Cascade")
|
| 57 |
vital = app.extract_vital_structure(analysis, topology)
|
|
|
|
| 77 |
assert "strategy | upside | risk | cost | selected" in prompt_text
|
| 78 |
assert "No Chain Of Thought Leakage" in qa_text
|
| 79 |
assert runtime.count("deterministic_fallback") >= 7
|
| 80 |
+
assert "| Stage | Source | Fallback reason | Duration ms |" in runtime
|
| 81 |
|
| 82 |
print("ContextForge QA passed.")
|
| 83 |
|