Merge pull request #8961 from continuedev/nate/con-5033

docs: add required name, schema, and version fields to all YAML examples

Author: RomneyDa

docs/customize/deep-dives/autocomplete.mdx

@@ -21,6 +21,10 @@ If you want to have the best autocomplete experience, we recommend using Codestr
   </Tab>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Codestral
       provider: mistral
@@ -68,6 +72,10 @@ Then, add the model to your configuration:
   </Tab>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Qwen 1.5b Autocomplete Model
       provider: ollama
@@ -104,6 +112,10 @@ For example:
 <Tab title="YAML">
 
 ```yaml title="config.yaml"
+name: My Config
+version: 0.0.1
+schema: v1
+
 models:
   - name: Qwen3 without Thinking for Autocomplete
     provider: ollama

docs/customize/model-providers/more/SambaNova.mdx

@@ -8,6 +8,10 @@ The SambaNova Cloud is a cloud platform for running large AI models with the wor
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: GPT OSS 120B
       provider: sambanova

docs/customize/model-providers/more/asksage.mdx

@@ -33,6 +33,10 @@ Add your Ask Sage model to your Continue configuration file.
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: GPT-4 gov
       provider: askSage
@@ -66,6 +70,10 @@ For secure environments, specify your DoD CA bundle path:
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: GPT-4 gov
       provider: askSage

docs/customize/model-providers/more/cerebras.mdx

@@ -12,6 +12,10 @@ Cerebras Inference uses specialized silicon to provides fast inference.
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Cerebras Llama 3.1 70B
       provider: cerebras

docs/customize/model-providers/more/cloudflare.mdx

@@ -8,6 +8,10 @@ Cloudflare Workers AI can be used for both chat and tab autocompletion in Contin
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Llama 3 8B
       provider: cloudflare

docs/customize/model-providers/more/cohere.mdx

@@ -12,6 +12,10 @@ We recommend configuring **Command A** as your chat model.
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Command A 03-2025
       provider: cohere
@@ -48,6 +52,10 @@ We recommend configuring **embed-v4.0** as your embeddings model.
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Cohere Embed v4.0
       provider: cohere
@@ -77,6 +85,10 @@ We recommend configuring **rerank-v3.5** as your reranking model.
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Cohere Rerank v3.5
       provider: cohere

docs/customize/model-providers/more/deepinfra.mdx

@@ -16,6 +16,10 @@ description: "Configure DeepInfra with Continue to access low-cost inference for
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: <MODEL_NAME>
       provider: deepinfra

docs/customize/model-providers/more/deepseek.mdx

@@ -16,6 +16,10 @@ slug: ../deepseek
 <Tabs>
    <Tab title="YAML">
    ```yaml title="config.yaml"
+   name: My Config
+   version: 0.0.1
+   schema: v1
+
    models:
      - name: <MODEL_NAME>
        provider: deepseek

docs/customize/model-providers/more/flowise.mdx

@@ -8,6 +8,10 @@ description: "Configure Flowise with Continue to integrate with this low-code/no
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Flowise
       provider: flowise

docs/customize/model-providers/more/function-network.mdx

@@ -18,6 +18,10 @@ Function Network supports a number of models for chat. We recommend using LLama
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Llama 3.1 70b
       provider: function-network
@@ -52,6 +56,10 @@ Function Network supports a number of models for autocomplete. We recommend usin
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: Deepseek Coder 6.7b
       provider: function-network
@@ -82,6 +90,10 @@ Function Network supports a number of models for embeddings. We recommend using
 <Tabs>
   <Tab title="YAML">
   ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
   models:
     - name: BGE Base En
       provider: function-network