docs(compaction): correct ollama ttl identity vs table key

The table key is bare ollama; the harness stamps slash-form on
sourceId. Stamp a production-looking Codex model on the governor
fixture instead of the helper default.

Author: TheGreatAxios

docs/ARCHITECTURE.md

@@ -202,7 +202,7 @@ When a cycle's input tokens cross a threshold, the director compacts the inferen
 | `ollama`                                                          | never                         | Local inference has no remote cache to expire                                        |
 | anything else                                                     | 10 min                        | Assumed OpenAI-style in-memory economics; tune per upstream                          |
 
-Production identity for the `ollama` row is `sourceId` `ollama` / `ollama/<instance>` via `isOllamaProviderId` (`src/provider/ollama.ts`), not a bare model id: Ollama is `buildOpenAISource` (`provider: openai-compatible`, model `llama3` / `qwen3`). Slash-form `ollama/…` is a table key, not what the harness stamps.
+The `ollama` table key is the bare provider segment; the harness stamps slash-form on `sourceId` (`ollama/default` / `ollama/<instance>`), with `provider: openai-compatible` (`buildOpenAISource`) and a bare model (`llama3` / `qwen3`). Idle-recompress disable matches via `isOllamaProviderId` on that `sourceId` (`src/provider/ollama.ts`), not by looking up slash-form as a table key.
 
 - **Overflow recovery** — A `context_overflow` inference error would otherwise become a terminal error reply; the governor compacts and retries instead, bounded so a history the compactor cannot shrink does not loop forever. Overflow ignores hysteresis for the compact itself.
 

src/agent/compaction.test.ts

@@ -891,7 +891,11 @@ describe("provider-aware idle recompress (CL-8745)", () => {
     );
     codex.noteInferenceDone(
       ttlInferenceDone(
-        { sourceId: "codex/work", provider: "codex-responses" },
+        {
+          sourceId: "codex/work",
+          provider: "codex-responses",
+          model: "gpt-5.6-luna",
+        },
         false,
       ),
       tenTurns,