hopefully done refining

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2026-03-06 16:14:31 -05:00
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# Implementation Plan: Session Insights (session_insights_20260306)
## Phase 1: Session Data
- [ ] Task: Initialize MMA Environment
- [ ] Task: Review session_logger
- WHERE: src/session_logger.py
- WHAT: Check existing data
> **Reference:** [Spec](./spec.md) | [Architecture Guide](../../../docs/guide_architecture.md)
## Phase 2: Metrics Calculation
- [ ] Task: Implement token timeline
- WHERE: src/gui_2.py
- WHAT: Token usage over time
- HOW: Graph from history
- [ ] Task: Implement cost projection
- WHERE: src/gui_2.py
- WHAT: Estimate remaining budget
- HOW: Linear extrapolation
## Phase 1: Token Timeline Data
Focus: Collect token usage over session
## Phase 3: UI
- [ ] Task: Render insights panel
- WHERE: src/gui_2.py
- WHAT: Timeline, projection, summary
- HOW: imgui widgets
- SAFETY: Handle zero session
- [ ] Task 1.1: Initialize MMA Environment
- [ ] Task 1.2: Add token history state
- WHERE: `src/gui_2.py` or `src/app_controller.py`
- WHAT: Track tokens per API call
- HOW:
```python
self._token_history: list[dict] = [] # [{"time": t, "input": n, "output": n, "model": s}, ...]
```
## Phase 4: Verification
- [ ] Task: Test insights
- [ ] Task: Conductor - Phase Verification
- [ ] Task 1.3: Record on each API response
- WHERE: `src/gui_2.py` in response handler
- WHAT: Append to history
- HOW:
```python
# After API call
self._token_history.append({
"time": time.time(), "input": input_tokens, "output": output_tokens, "model": model
})
```
## Phase 2: Token Timeline Visualization
Focus: Render token usage graph
- [ ] Task 2.1: Extract cumulative tokens
- WHERE: `src/gui_2.py`
- WHAT: Calculate running totals
- HOW:
```python
cumulative_input = 0
cumulative_output = 0
input_values = []
output_values = []
for entry in self._token_history:
cumulative_input += entry["input"]
cumulative_output += entry["output"]
input_values.append(cumulative_input)
output_values.append(cumulative_output)
```
- [ ] Task 2.2: Render timeline
- WHERE: `src/gui_2.py` session insights panel
- HOW:
```python
if imgui.collapsing_header("Token Timeline"):
imgui.plot_lines("Input", input_values)
imgui.plot_lines("Output", output_values)
imgui.text(f"Total: {cumulative_input + cumulative_output:,} tokens")
```
## Phase 3: Cost Projection
Focus: Estimate remaining cost
- [ ] Task 3.1: Calculate burn rate
- WHERE: `src/gui_2.py`
- WHAT: Tokens per minute
- HOW:
```python
if len(self._token_history) >= 2:
elapsed = self._token_history[-1]["time"] - self._token_history[0]["time"]
total_tokens = sum(e["input"] + e["output"] for e in self._token_history)
burn_rate = total_tokens / (elapsed / 60) if elapsed > 0 else 0
```
- [ ] Task 3.2: Display projection
- WHERE: `src/gui_2.py`
- HOW:
```python
imgui.text(f"Burn rate: {burn_rate:.0f} tokens/min")
imgui.text(f"Session cost: ${session_cost:.4f}")
```
## Phase 4: Efficiency Score
Focus: Calculate tokens per useful change
- [ ] Task 4.1: Define efficiency metric
- WHERE: `src/gui_2.py`
- WHAT: Ratio of tokens to completed tickets
- HOW:
```python
completed_tickets = sum(1 for t in self.track.tickets if t.status == "completed")
total_tokens = sum(e["input"] + e["output"] for e in self._token_history)
efficiency = total_tokens / completed_tickets if completed_tickets > 0 else 0
```
## Phase 5: Testing
- [ ] Task 5.1: Write unit tests
- [ ] Task 5.2: Conductor - Phase Verification