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Empirical filter runner (DeepSeek); real cost ratio in docs

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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014aUaQeLnwbb1zTpN7kHeat
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Kral
2026-10-03 09:29:20 +02:00
parent 03ab36149e
commit d3250acfb8
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@@ -45,7 +45,7 @@
- A4H is small: MCP limit is 8 sessions (by design). The server shares ONE RFC connection between
sessions; a parallel call gets "[LOCK] Concurrent call detected". `mcp_client.py` retries this.
Keep parallel runs low (max 3). DDIC activation during setup is sensitive to parallel runs.
- Budget: `runs/ledger.jsonl` (list prices, upper bound). `.env`: `BUDGET_LIMIT_USD`, `BUDGET_CYCLE_START`.
- Budget: `runs/ledger.jsonl` (list prices, upper bound; real cost ≈ ledger / 1.47, measured 2026-10-03). `.env`: `BUDGET_LIMIT_USD`, `BUDGET_CYCLE_START`.
Ollama usage resets on 12 October 2026, then +60 USD per month. At the limit, stop cloud work.
- Objects: package `$TMP` only. Prefix `Z` + run (4 chars base36) + task (3 chars base36) + `_`
(`harness/task.py`). Teardown after each run with the ADT deletion API (`adt_client.py`, credentials in `.env`).