chore: trunk upgrade and language fixes

Author: ryanfoxtyler

.trunk/trunk.yaml

@@ -18,11 +18,11 @@ runtimes:
 
 lint:
   enabled:
-    - renovate@39.109.0
+    - renovate@39.128.0
     - [email protected]
-    - [email protected].3
-    - [email protected].6
-    - [email protected].353
+    - [email protected].4
+    - [email protected].7
+    - [email protected].357
     - git-diff-check
     - [email protected]
     - [email protected]

modus/app-manifest.mdx

@@ -106,7 +106,7 @@ Each connection has a `type` property, which controls how it's used and which
 additional properties are available. The following table lists the available
 connection types:
 
-| Type         | Purpose                          | Functions Namespaces        |
+| Type         | Purpose                          | Function Classes            |
 | :----------- | :------------------------------- | :-------------------------- |
 | `http`       | Connect to an HTTP(S) web server | `http`, `graphql`, `models` |
 | `postgresql` | Connect to a PostgreSQL database | `postgresql`                |

modus/deepseek-model.mdx

@@ -6,17 +6,18 @@ mode: "wide"
 ---
 
 DeepSeek is an AI lab that has developed and released a series of open source
-LLMs that are notable for both their performance and cost-efficiency. By using a
-Mixture-of-Experts (MoE) system that utilizes only 37 billion of the models' 671
-billion parameters for any task, the DeepSeek-R1 model is able to achieve best
-in class performance at a fraction of cost of inference on other comparable
-models. In this guide we review how to leverage the DeepSeek models using Modus.
+large language models (LLM) that are notable for both their performance and
+cost-efficiency. By using a Mixture-of-Experts (MoE) system that utilizes only
+37 billion of the models' 671 billion parameters for any task, the DeepSeek-R1
+model is able to achieve best in class performance at a fraction of cost of
+inference on other comparable models. In this guide we review how to leverage
+the DeepSeek models using Modus.
 
 ## Options for using DeepSeek with Modus
 
 There are two options for invoking DeepSeek models in your Modus app:
 
-1. [Use the distilled DeepSeek model hosted by Hypermode](#using-the-distilled-deepseek-model-hosted-by-Hypermode)
+1. [Use the distilled DeepSeek model hosted by Hypermode](#using-the-distilled-deepseek-model-hosted-by-hypermode)
    Hypermode hosts and makes available the distilled DeepSeek model which can be
    used by Modus apps developed locally and deployed to Hypermode
 2. [Use the DeepSeek API with your Modus app](#using-the-deepseek-api-with-modus)

styles/config/vocabularies/general/accept.txt

@@ -36,6 +36,7 @@ inferencing
 LLM
 [Mm]odus
 namespace
+namespaces
 nnClassify
 npm
 NQuads
@@ -56,4 +57,8 @@ upsert
 URL|url
 urql
 UUID
-[Dd]eserialize
+[Dd]eserialize
+upsertBatch
+computeDistance
+getNamespaces
+timeLog