aa258b983d
The fan-out path used to report usage as if a single Codex call had run: `prompt_tokens = max(1, len(prompt)//4)` and `completion_tokens = len(synthesis)//4`. In reality it had spawned N parallel worker turns (each carrying the same prompt) plus a synthesis turn that re-sent the prompt and every tab's output. For `parallel_calls=20` that meant the cost / context widget under- reported the request by roughly 20x. Now sums: - `prompt_tokens ≈ (N * prompt + synthesis_prompt) / 4` where `synthesis_prompt = sum(tab_outputs) + prompt`. - `completion_tokens ≈ (sum(tab_output_chars) + synthesis_chars) / 4`. Tests: new regression `test_parallel_usage_accounts_for_all_calls` runs a 4-way fan-out against a fake SDK with deterministic chunk lengths and asserts the reported usage scales with N, not the single-call shape. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||