feat(memory): inherit unset memory.extended.llm fields from main LLM

docker/config.godmode.json

@@ -62,7 +62,10 @@
       "proactive_nudges_enabled": true,
       "nudge_max_per_day": 5,
       "nudge_cooldown_hours": 24,
-      "nudge_stale_goal_days": 7
+      "nudge_stale_goal_days": 7,
+      "llm": {
+        "thinking": "disabled"
+      }
     }
   },
   "dangerous": {

docker/config.restricted.json

@@ -62,7 +62,10 @@
       "proactive_nudges_enabled": true,
       "nudge_max_per_day": 5,
       "nudge_cooldown_hours": 24,
-      "nudge_stale_goal_days": 7
+      "nudge_stale_goal_days": 7,
+      "llm": {
+        "thinking": "disabled"
+      }
     }
   },
   "dangerous": {

docs/CONFIG.md

@@ -434,7 +434,7 @@ The `memory` section controls the persistent memory system (see [docs/MEMORY.md]
 | `nudge_cooldown_hours` | `24` | `ODEK_MEMORY_EXTENDED_NUDGE_COOLDOWN_HOURS` | — | Per-kind cooldown before a nudge of the same kind can fire again. |
 | `nudge_stale_goal_days` | `7` | `ODEK_MEMORY_EXTENDED_NUDGE_STALE_GOAL_DAYS` | — | Days without activity before a goal/intent atom counts as stale for nudges. |
 | `nudge_open_question_min_age_hours` | `24` | `ODEK_MEMORY_EXTENDED_NUDGE_OPEN_QUESTION_MIN_AGE_HOURS` | — | Minimum age before a `question` atom may become a nudge candidate (younger questions are usually about to be answered). |
-| `llm` | omitted | — | — | Dedicated memory LLM. If omitted, the main agent LLM is reused. A warning is emitted if that model has thinking enabled. |
+| `llm` | omitted | — | — | Dedicated memory LLM. If omitted, the main agent LLM is reused. A warning is emitted if that model has thinking enabled. Fields left empty inside `llm` are inherited from the main agent LLM, so a partial override such as `"llm": {"thinking": "disabled"}` reuses the parent `base_url`/`api_key`/`model`/`max_tokens`/`temperature` while disabling reasoning for memory calls. |
 | `embedding` | omitted | — | — | Dedicated embedding backend for atoms. If omitted, inherits `memory.embedding` or the shared top-level `embedding`. |
 
 ### `embedding` — real semantic embeddings (optional)

docs/EXTENDED_MEMORY.md

@@ -113,6 +113,8 @@ Extended Memory can use its own LLM, separate from the main agent. This is ideal
 
 If `memory.extended.llm` is omitted, the module **MUST** use the default global model. The default global model is the fully resolved main agent LLM after all config layers have been merged: top-level `model`, `base_url`, `api_key`, `thinking`, `max_tokens`, `temperature`, and `timeout` from `~/.odek/config.json`, `ODEK_*` environment variables, and CLI flags. Extended Memory does not read any of those values again; it reuses the exact `llm.Client` instance constructed for the main agent loop.
 
+When `memory.extended.llm` is present, any field left empty (`base_url`, `api_key`, `model`, `thinking`, `max_tokens`, `temperature`) is inherited from that same main agent client, so a partial override reuses the parent connection while changing only what it sets. For example, `"llm": {"thinking": "disabled"}` keeps the main model and endpoint but disables reasoning for memory calls, and `"llm": {"model": "qwen2.5:7b"}` switches to a cheaper model on the same backend.
+
 If the default global model has reasoning/thinking enabled, memory extraction and reranking may be expensive. In that case the operator should configure a dedicated `memory.extended.llm` for cost isolation; a warning is emitted when thinking is enabled and no dedicated memory LLM is configured.
 
 ### Memory LLM Responsibilities

internal/memory/extended/config.go

@@ -214,7 +214,10 @@ func Resolve(cfg Config) Config {
 
 // ResolveLLM returns the LLM client to use for Extended Memory. If cfg.LLM is
 // set, it builds a dedicated client; otherwise it returns the provided main
-// client unchanged. When falling back to the main client and the main model
+// client unchanged. Fields left empty in cfg.LLM are inherited from the main
+// client (when it is an *llm.Client), so operators can override a single knob
+// — e.g. `"llm": {"thinking": "disabled"}` — without duplicating base_url,
+// api_key, and model. When falling back to the main client and the main model
 // has thinking enabled, a warning is logged because reasoning tokens are
 // wasted on memory-only calls.
 func ResolveLLM(cfg Config, mainLLM LLMClient, thinking string) LLMClient {
@@ -224,7 +227,27 @@ func ResolveLLM(cfg Config, mainLLM LLMClient, thinking string) LLMClient {
 		}
 		return mainLLM
 	}
-	lmc := cfg.LLM
+	lmc := *cfg.LLM
+	if main, ok := mainLLM.(*llm.Client); ok {
+		if lmc.BaseURL == "" {
+			lmc.BaseURL = main.BaseURL
+		}
+		if lmc.APIKey == "" {
+			lmc.APIKey = main.APIKey
+		}
+		if lmc.Model == "" {
+			lmc.Model = main.Model
+		}
+		if lmc.Thinking == "" {
+			lmc.Thinking = main.Thinking
+		}
+		if lmc.MaxTokens == 0 {
+			lmc.MaxTokens = main.MaxTokens
+		}
+		if lmc.Temperature == 0 {
+			lmc.Temperature = main.Temperature
+		}
+	}
 	if lmc.BaseURL == "" || lmc.Model == "" {
 		fmt.Fprintf(os.Stderr, "odek: warning: extended memory llm requires base_url and model; falling back to main LLM\n")
 		return mainLLM

internal/memory/extended/config_test.go

@@ -3,6 +3,9 @@ package extended
 import (
 	"context"
 	"testing"
+	"time"
+
+	"github.com/BackendStack21/odek/internal/llm"
 )
 
 type dummyLLM struct{}
@@ -69,3 +72,58 @@ func TestResolveLLMWithTimeout(t *testing.T) {
 		t.Error("expected dedicated LLM client")
 	}
 }
+
+func TestResolveLLMInheritsMainSettings(t *testing.T) {
+	main := llm.NewWithMaxTokens("https://api.example.com/v1/", "main-key", "main-model", "enabled", 0, 4096, 10*time.Second)
+	main.Temperature = 0.7
+	cfg := Config{
+		LLM: &LLMConfig{Thinking: "disabled"}, // override thinking only
+	}
+	got := ResolveLLM(cfg, main, "enabled")
+	client, ok := got.(*llm.Client)
+	if !ok {
+		t.Fatalf("expected *llm.Client, got %T", got)
+	}
+	if client == main {
+		t.Fatal("expected a dedicated client, got the main client")
+	}
+	if client.BaseURL != main.BaseURL {
+		t.Errorf("BaseURL = %q, want inherited %q", client.BaseURL, main.BaseURL)
+	}
+	if client.APIKey != main.APIKey {
+		t.Errorf("APIKey = %q, want inherited %q", client.APIKey, main.APIKey)
+	}
+	if client.Model != main.Model {
+		t.Errorf("Model = %q, want inherited %q", client.Model, main.Model)
+	}
+	if client.Thinking != "disabled" {
+		t.Errorf("Thinking = %q, want %q", client.Thinking, "disabled")
+	}
+	if client.MaxTokens != main.MaxTokens {
+		t.Errorf("MaxTokens = %d, want inherited %d", client.MaxTokens, main.MaxTokens)
+	}
+	if client.Temperature != main.Temperature {
+		t.Errorf("Temperature = %v, want inherited %v", client.Temperature, main.Temperature)
+	}
+}
+
+func TestResolveLLMPartialOverrideKeepsInheritedRest(t *testing.T) {
+	main := llm.New("https://api.example.com/v1", "main-key", "main-model", "enabled", 0, 0)
+	cfg := Config{
+		LLM: &LLMConfig{Model: "cheap-model"}, // different model, same backend
+	}
+	got := ResolveLLM(cfg, main, "enabled")
+	client, ok := got.(*llm.Client)
+	if !ok {
+		t.Fatalf("expected *llm.Client, got %T", got)
+	}
+	if client.Model != "cheap-model" {
+		t.Errorf("Model = %q, want %q", client.Model, "cheap-model")
+	}
+	if client.BaseURL != main.BaseURL || client.APIKey != main.APIKey {
+		t.Errorf("expected inherited BaseURL/APIKey, got %q/%q", client.BaseURL, client.APIKey)
+	}
+	if client.Thinking != main.Thinking {
+		t.Errorf("Thinking = %q, want inherited %q", client.Thinking, main.Thinking)
+	}
+}