feat: split introspection backend from consolidation (trial Dolphin for her voice)

reflect()/think() can now run on a different model than memory consolidation:
INTROSPECTION_BACKEND / INTROSPECTION_MODEL (default to SUMMARY_BACKEND, so unset =
unchanged). Consolidation (summaries/profile/narrative) keeps the capable model;
her *voice* (reflections, thoughts) can run a steerable tune. dream.py lets
reflect()/think() self-resolve to the introspection backend; both now thread a
`model` override into llm.complete.

Trial live: introspection -> dolphin3:8b on the 3090; consolidation -> Qwen-32B
on the MI50. Suite 73 green, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

lyra/config.py

@@ -23,7 +23,9 @@ class Config:
     embed_model: str  # OpenAI embedding model
     local_embed_model: str  # Ollama embedding model
     embed_base_url: str  # Ollama endpoint for embeddings (own box, decoupled from local chat)
-    summary_backend: str  # "local" or "cloud" — backend used to compact memory
+    summary_backend: str  # backend for memory consolidation (summaries/profile/narrative)
+    introspection_backend: str  # backend for reflect()/think() — her *voice* (may differ)
+    introspection_model: str | None  # model override for introspection (e.g. a steerable tune)
     db_path: Path
     # Proactive reach-out (ntfy push). Empty ntfy_url disables pinging.
     ntfy_url: str          # base url, e.g. "http://10.0.0.41:8090"
@@ -44,6 +46,7 @@ def _csv(name: str, default: str) -> tuple[str, ...]:
 
 
 def load() -> Config:
+    _summary = os.getenv("SUMMARY_BACKEND", "local").lower()
     return Config(
         local_base_url=os.getenv("LOCAL_BASE_URL", "http://localhost:11434"),
         local_model=os.getenv("LOCAL_MODEL", "qwen2.5:7b-instruct"),
@@ -58,7 +61,12 @@ def load() -> Config:
         # Embeddings can live on their own always-on box, separate from the local
         # chat backend. Defaults to LOCAL_BASE_URL so existing setups are unchanged.
         embed_base_url=os.getenv("EMBED_BASE_URL", os.getenv("LOCAL_BASE_URL", "http://localhost:11434")),
-        summary_backend=os.getenv("SUMMARY_BACKEND", "local").lower(),
+        summary_backend=_summary,
+        # Introspection (reflect/think) can run on a different model than consolidation —
+        # e.g. a steerable tune for her voice, while the capable model keeps her memory
+        # accurate. Defaults to the summary backend so unset = unchanged behavior.
+        introspection_backend=os.getenv("INTROSPECTION_BACKEND", _summary).lower(),
+        introspection_model=os.getenv("INTROSPECTION_MODEL") or None,
         db_path=Path(os.getenv("LYRA_DB_PATH", "data/lyra.db")),
         ntfy_url=os.getenv("NTFY_URL", "").rstrip("/"),
         ntfy_topic=os.getenv("NTFY_TOPIC", "lyra"),

lyra/dream.py

@@ -110,13 +110,15 @@ def dream_cycle(backend: Backend | None = None, force: bool = False) -> dict:
 
     # --- curiosity: reflect and evolve the self, then advance the thought loop ---
     if force or drives["curiosity"] >= THRESHOLD:
-        self_state.reflect(backend=backend, source="dream")  # writes state + journal itself
+        # reflect()/think() self-resolve to the *introspection* backend (her voice),
+        # which can differ from the consolidation backend above — don't pass `backend`.
+        self_state.reflect(source="dream")  # writes state + journal itself
         actions.append("reflected")
         # Thinking, continued: advance one threaded train of thought. reflect()
         # just refreshed her self-state, so the thought is grounded in it. A bad
         # think pass shouldn't sink the cycle.
         try:
-            rep = thoughts.think(backend=backend, source="dream")
+            rep = thoughts.think(source="dream")
             actions.append(f"thought ({rep['mode']})" if rep else "thought (no parse)")
         except Exception as exc:
             logbus.log("error", "thought loop failed", error=str(exc)[:200])

lyra/self_state.py

@@ -214,7 +214,7 @@ def wander_seed() -> str:
 
 
 def reflect(backend: Backend | None = None, session_id: str | None = None,
-            source: str = "manual") -> dict:
+            source: str = "manual", model: str | None = None) -> dict:
     """Reflect on recent activity and update the self-state. Returns new state.
 
     Two steps, not one: she drafts a reflection, then examines her own draft —
@@ -224,7 +224,9 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
     produces (reflections, the critique, and any deliberate journal note) is also
     appended to her permanent journal, tagged with `source`.
     """
-    backend = backend or config.load().summary_backend
+    cfg = config.load()
+    backend = backend or cfg.introspection_backend  # her voice (may differ from consolidation)
+    model = model or cfg.introspection_model
     state = load()
     state.setdefault("reflections", [])
     state.setdefault("metacognition", [])
@@ -269,7 +271,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
     # Step 1 — draft a reflection.
     draft = _safe_json(llm.complete(
         [{"role": "system", "content": _REFLECT_PROMPT}, {"role": "user", "content": body}],
-        backend=backend,
+        backend=backend, model=model,
     ))
 
     # Step 2 — examine her own draft and revise it into a more honest version.
@@ -279,7 +281,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
         revised = _safe_json(llm.complete(
             [{"role": "system", "content": _EXAMINE_PROMPT},
              {"role": "user", "content": examine_body}],
-            backend=backend,
+            backend=backend, model=model,
         ))
         if revised:  # fall back to the draft if the examine step doesn't parse
             update = revised

lyra/thoughts.py

@@ -473,11 +473,12 @@ def _weighted_choice(threads: list[dict]) -> dict:
 
 
 def think(backend: Backend | None = None, force_mode: str | None = None,
-          source: str = "dream") -> dict | None:
+          source: str = "dream", model: str | None = None) -> dict | None:
     """Advance the thought loop by one step. Returns a small report, or None on a
     parse miss. `force_mode` ('new'|'continue'|'respond') is mainly for tests."""
     cfg = config.load()
-    backend = backend or cfg.summary_backend
+    backend = backend or cfg.introspection_backend  # her voice (may differ from consolidation)
+    model = model or cfg.introspection_model
     mode, thread = _pick("new" if force_mode == "react" else force_mode)
     state = self_state.load()
     react_item = None
@@ -546,7 +547,7 @@ def think(backend: Backend | None = None, force_mode: str | None = None,
     body = f"{time_line}\n\n{inner}{norestate}\n\n{task}"
     out = _safe_json(llm.complete(
         [{"role": "system", "content": _THINK_PROMPT}, {"role": "user", "content": body}],
-        backend=backend,
+        backend=backend, model=model,
     ))
     if not out or not (out.get("content") or "").strip():
         logbus.log("info", "thought loop", mode=mode, result="no parse")