maintainence love:)

packages/kbot/dist-in/data/openai_models.json

@@ -1,5 +1,5 @@
 {
-  "timestamp": 1748988830345,
+  "timestamp": 1749015961186,
   "models": [
     {
       "id": "gpt-4-0613",

packages/kbot/dist-in/data/openrouter_models.json

@@ -1,5 +1,5 @@
 {
-  "timestamp": 1748988830770,
+  "timestamp": 1749015961310,
   "models": [
     {
       "id": "deepseek/deepseek-r1-distill-qwen-7b",
@@ -5341,7 +5341,7 @@
       "name": "DeepSeek: DeepSeek R1 Zero (free)",
       "created": 1741297434,
       "description": "DeepSeek-R1-Zero is a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step. It's 671B parameters in size, with 37B active in an inference pass.\n\nIt demonstrates remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors.\n\nDeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. See [DeepSeek R1](/deepseek/deepseek-r1) for the SFT model.\n\n",
-      "context_length": 128000,
+      "context_length": 163840,
       "architecture": {
         "modality": "text->text",
         "input_modalities": [
@@ -5362,7 +5362,7 @@
         "internal_reasoning": "0"
       },
       "top_provider": {
-        "context_length": 128000,
+        "context_length": 163840,
         "max_completion_tokens": null,
         "is_moderated": false
       },

packages/kbot/dist/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@plastichub/kbot",
-  "version": "1.1.37",
+  "version": "1.1.38",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@plastichub/kbot",
-      "version": "1.1.37",
+      "version": "1.1.38",
       "license": "ISC",
       "dependencies": {
         "node-emoji": "^2.2.0"

packages/kbot/dist/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@plastichub/kbot",
-  "version": "1.1.37",
+  "version": "1.1.38",
   "main": "main_node.js",
   "author": "",
   "license": "ISC",