feat(openclaw): upgrade fleet to DeepSeek V4.1 Flash 1017 and harden operations

- Upgrade OpenClaw primary model from deepseek-v4.1-flash to deepseek-v4.1-flash-1017 across all interactive agents, heartbeats, compaction, and cron jobs. - Configure hardened OpenRouter provider routing for 1017 (deepinfra, inference-net, parasail, cloudflare) with strict fp8/bf16 quantization and tool_choice verification. - Retain deepseek-v4.1-flash (0910), z-ai/glm-5.3-flash, and qwen3.8-flash in the automated fallback chain. - Update ADR 0002 with 1017 economics (30% price reduction on prompt/cache, +60% intelligence benchmark increase) and a 7-point provider qualification playbook. - Add operational scripts and tooling for session compaction, subagent vector deduplication, gateway preflight, and triage diagnostics in k8s/openclaw. - Update DuckDB backend engine, git-sync logic, and test suites. - Enhance Mila tracking UI components and add container build configuration. - Sync Terraform infrastructure state for Authentik.
2026-10-18 10:54:59 +02:00
parent 7ce1da18ab
commit dd60a095c6
26 changed files with 1786 additions and 1301 deletions
@@ -1,34 +1,48 @@
-          #!/usr/bin/env python3
-          import glob, os, sqlite3, sys
+#!/usr/bin/env python3
+import glob, json, os, sqlite3, sys

-          vec_path = "/app/node_modules/sqlite-vec-linux-x64/vec0.so"
-          for db in sorted(glob.glob("/home/node/.openclaw/agents/*/agent/openclaw-agent.sqlite")):
-              agent = os.path.basename(os.path.dirname(os.path.dirname(db)))
-              if agent == "main":
-                  continue
-              try:
-                  conn = sqlite3.connect(db, timeout=10.0)
-                  if os.path.exists(vec_path):
-                      conn.enable_load_extension(True)
-                      conn.load_extension(vec_path)
-                  cur = conn.cursor()
-                  chk = cur.execute("SELECT count(*) FROM memory_index_chunks").fetchone()[0]
-                  if chk > 0:
-                      print(f"[dedup_subagents] Purging {chk} duplicated vector chunks from agent {agent}...")
-                      for t in [
-                          "memory_index_sources",
-                          "memory_index_chunks",
-                          "memory_index_chunk_recall_metadata",
-                          "memory_index_chunk_provenance",
-                          "memory_entry_origins",
-                          "memory_embedding_cache",
-                          "memory_index_chunks_vec"
-                      ]:
-                          try: cur.execute(f"DELETE FROM {t}")
-                          except Exception: pass
-                      conn.commit()
-                      cur.execute("VACUUM")
-                      print(f"[dedup_subagents] Reclaimed disk space for agent {agent}")
-                  conn.close()
-              except Exception as e:
-                  print(f"[dedup_subagents] Notice for {agent}: {e}", file=sys.stderr)
+cfg_path = "/home/node/.openclaw/openclaw.json"
+if os.path.exists(cfg_path):
+    try:
+        with open(cfg_path, "r") as f:
+            cfg = json.load(f)
+        mem_search = cfg.get("memory", {}).get("search", {})
+        if mem_search.get("extraPaths"):
+            mem_search["extraPaths"] = []
+            with open(cfg_path, "w") as f:
+                json.dump(cfg, f, indent=2)
+            print("[dedup_subagents] Cleared top-level memory.search.extraPaths from openclaw.json (scoped to main only)")
+    except Exception as e:
+        print(f"[dedup_subagents] Warning checking openclaw.json: {e}", file=sys.stderr)
+
+vec_path = "/app/node_modules/sqlite-vec-linux-x64/vec0.so"
+for db in sorted(glob.glob("/home/node/.openclaw/agents/*/agent/openclaw-agent.sqlite")):
+    agent = os.path.basename(os.path.dirname(os.path.dirname(db)))
+    if agent == "main":
+        continue
+    try:
+        conn = sqlite3.connect(db, timeout=10.0)
+        if os.path.exists(vec_path):
+            conn.enable_load_extension(True)
+            conn.load_extension(vec_path)
+        cur = conn.cursor()
+        chk = cur.execute("SELECT count(*) FROM memory_index_chunks").fetchone()[0]
+        if chk > 0:
+            print(f"[dedup_subagents] Purging {chk} duplicated vector chunks from agent {agent}...")
+            for t in [
+                "memory_index_sources",
+                "memory_index_chunks",
+                "memory_index_chunk_recall_metadata",
+                "memory_index_chunk_provenance",
+                "memory_entry_origins",
+                "memory_embedding_cache",
+                "memory_index_chunks_vec"
+            ]:
+                try: cur.execute(f"DELETE FROM {t}")
+                except Exception: pass
+            conn.commit()
+            cur.execute("VACUUM")
+            print(f"[dedup_subagents] Reclaimed disk space for agent {agent}")
+        conn.close()
+    except Exception as e:
+        print(f"[dedup_subagents] Notice for {agent}: {e}", file=sys.stderr)