👻 update sample-provider-settings.yaml

agentic/src/nodes/analysisIssueFix.ts

@@ -325,7 +325,10 @@ If you have any additional details or steps that need to be performed, put it he
     );
 
     if (!response) {
-      this.logger.silly("AnalysisIssueFix returned undefined response");
+      this.logger.warn(
+        `AnalysisIssueFix: LLM returned no response for file "${fileName}". ` +
+          `This may indicate a model provider configuration issue.`,
+      );
       return {
         outputAdditionalInfo: undefined,
         outputUpdatedFile: undefined,
@@ -460,6 +463,9 @@ ${state.inputAllReasoning}`,
     );
 
     if (!response) {
+      this.logger.warn(
+        "SummarizeHistory: LLM returned no response. This may indicate a model provider configuration issue.",
+      );
       return {
         summarizedHistory: "",
         iterationCount: state.iterationCount,

agentic/src/nodes/diagnosticsIssueFix.ts

@@ -343,7 +343,9 @@ Instructions for Agent B to solve Issue 3, Issue 4, etc. (mention specific issue
     );
 
     if (!response) {
-      this.logger.silly("PlanFixes returned undefined response");
+      this.logger.warn(
+        "PlanFixes: LLM returned no response. This may indicate a model provider configuration issue.",
+      );
       return {
         plannerOutputNominatedAgents: [],
         iterationCount: state.iterationCount,
@@ -401,7 +403,9 @@ ${
     );
 
     if (!response) {
-      this.logger.silly("FixGeneralIssues returned undefined response");
+      this.logger.warn(
+        "FixGeneralIssues: LLM returned no response. This may indicate a model provider configuration issue.",
+      );
       return {
         messages: [new AIMessage(`DONE`)],
         outputModifiedFilesFromGeneralFix: [],
@@ -471,7 +475,9 @@ ${state.inputInstructionsForGeneralFix}
     );
 
     if (!response) {
-      this.logger.silly("FixJavaDependencyIssues returned undefined response");
+      this.logger.warn(
+        "FixJavaDependencyIssues: LLM returned no response. This may indicate a model provider configuration issue.",
+      );
       return {
         messages: [new AIMessage(`DONE`)],
         outputModifiedFilesFromGeneralFix: [],

vscode/core/resources/sample-provider-settings.yaml

@@ -1,122 +1,114 @@
-# This is a sample settings file generated by the extension with a few common providers
-# and models defined.  To return the file back to default, delete it and restart vscode.
+# Sample provider settings — configure via the settings gear in the chat panel,
+# or edit this file directly. To reset, delete it and restart VS Code.
+#
+# The extension reads the `active` block to configure the LLM provider.
+# Provider examples are listed below for reference.
 ---
 environment:
-  ALWAYS_APPLIED_KEY: "envvar to be set regardless of which model is active"
   # CA_BUNDLE: "" # optional
   # ALLOW_INSECURE: "false" # optional
 
-# This is a collection of model configurations that may be used.  The `&active`
-# anchor is used to reference the model to the active node below.  The extension will
-# use the active node for configuration the kai-rpc-server.
-models:
-  OpenAI: &active
-    environment:
-      OPENAI_API_KEY: "" # Required
-    provider: ChatOpenAI
-    args:
-      model: gpt-4o # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # user: <string>
-      # temperature: <number>
-      # maxTokens: <number>
-      # timeout: <number>
-      # maxRetries: <number>
-      # configuration:
-      #   baseURL: <string>
-      #   project: <string>
-      #   organization: <string>
-
-  AzureChatOpenAI:
-    environment:
-      AZURE_OPENAI_API_KEY: "" # Required
-    provider: AzureChatOpenAI
-    args:
-      azureOpenAIApiDeploymentName: "" # Required
-      azureOpenAIApiVersion: "" # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # azureOpenAIApiInstanceName: <string>
-      # azureOpenAIBasePath: <string>
-      # azureOpenAIEndpoint: <string>
-      # azureOpenAIDeploymentName: <string>
-      # openAIApiVersion: <string>
-      # openAIBasePath: <string>
-      # deploymentName: <string>
-      # temperature: <number>
-      # maxTokens: <number>
-      # timeout: <number>
-      # maxRetries: <number>
-      # modelKwargs: <object>
-
-  AmazonBedrock:
-    environment:
-      AWS_ACCESS_KEY_ID: "" # Required if a global ~/.aws/credentials file is not present
-      AWS_SECRET_ACCESS_KEY: "" # Required if a global ~/.aws/credentials file is not present
-      AWS_DEFAULT_REGION: "" # Required
-    provider: ChatBedrock
-    args:
-      model: meta.llama3-70b-instruct-v1:0 # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # temperature: <number>
-      # additionalModelRequestFields: <object>
-      # configFilepath: <string>
-
-  DeepSeek:
-    environment:
-      DEEPSEEK_API_KEY: "" # Required
-    provider: ChatDeepSeek
-    args:
-      model: deepseek-chat # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # temperature: <number>
-      # maxTokens: <number>
-      # timeout: <number>
-      # maxRetries: <number>
-      # modelKwargs: <object>
-
-  GoogleGenAI:
-    environment:
-      GOOGLE_API_KEY: "" # Required
-    provider: ChatGoogleGenerativeAI
-    args:
-      model: gemini-2.5-pro # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # apiVersion: <string>
-      # baseUrl: <string>
-      # temperature: <number>
-
-  # If running locally https://ollama.com/, get the model name via `ollama list`
-  ChatOllama:
-    provider: ChatOllama
-    args:
-      model: your-model-here # Required
-
-      ## Following keys are optional & only exist for documentation purposes
-      # temperature: <number>
-      # numPredict: <number>
-
-  JustAnExample:
-    environment:
-      ANY_KEY_1: "any environment variable needed for this model provider"
-      ANY_KEY_2: "any environment variable needed for this model provider"
-
-    provider: "provider-string"
-    args:
-      anyArgumentName1: "argument one"
-      anyArgumentName2: "argument two"
-      any-argument-name-3: "argument three"
-
-    template: "template string" # optional
-    llamaHeader: "header string" # optional
-    llmRetries: 5 # optional number, defaults to 5
-    llmRetryDelay: 10.0 # optional float, default is 10.0
-
-# This is the node used for configuring the server.  A simple anchor/reference
-# pair is an easy way to to select a configuration.  To change configs, move the
-# `&active` anchor to the desired block and restart the server.
-active: *active
+# The active provider configuration used by the extension.
+# Update this block directly or use the chat panel settings UI.
+active:
+  environment:
+    OPENAI_API_KEY: "" # Required
+  provider: ChatOpenAI
+  args:
+    model: gpt-4o # Required
+
+
+    ## Following keys are optional
+    # temperature: <number>
+    # maxTokens: <number>
+    # timeout: <number>
+    # maxRetries: <number>
+    # configuration:
+    #   baseURL: <string>
+    #   project: <string>
+    #   organization: <string>
+
+# ──────────────────────────────────────────────────────────────────────
+# Provider reference — copy a block above to `active:` and fill in
+# the required fields.
+# ──────────────────────────────────────────────────────────────────────
+
+# --- OpenAI ---
+# active:
+#   environment:
+#     OPENAI_API_KEY: ""
+#   provider: ChatOpenAI
+#   args:
+#     model: gpt-4o
+
+# --- Azure OpenAI ---
+# active:
+#   environment:
+#     AZURE_OPENAI_API_KEY: ""
+#   provider: AzureChatOpenAI
+#   args:
+#     azureOpenAIApiDeploymentName: ""
+#     azureOpenAIApiVersion: ""
+#     # azureOpenAIEndpoint: <string>
+#     # temperature: <number>
+#     # maxTokens: <number>
+
+# --- Amazon Bedrock ---
+# active:
+#   environment:
+#     AWS_ACCESS_KEY_ID: ""       # if no ~/.aws/credentials
+#     AWS_SECRET_ACCESS_KEY: ""   # if no ~/.aws/credentials
+#     AWS_DEFAULT_REGION: ""
+#   provider: ChatBedrock
+#   args:
+#     model: meta.llama3-70b-instruct-v1:0
+#     # temperature: <number>
+
+# --- DeepSeek ---
+# active:
+#   environment:
+#     DEEPSEEK_API_KEY: ""
+#   provider: ChatDeepSeek
+#   args:
+#     model: deepseek-chat
+#     # temperature: <number>
+#     # maxTokens: <number>
+
+# --- Google Gemini ---
+# active:
+#   environment:
+#     GOOGLE_API_KEY: ""
+#   provider: ChatGoogleGenerativeAI
+#   args:
+#     model: gemini-2.5-pro
+#     # apiVersion: <string>
+#     # baseUrl: <string>
+#     # temperature: <number>
+
+# --- Ollama (local) — get model name via `ollama list` ---
+# active:
+#   provider: ChatOllama
+#   args:
+#     model: your-model-here
+#     # temperature: <number>
+#     # numPredict: <number>
+
+# --- Anthropic ---
+# active:
+#   environment:
+#     ANTHROPIC_API_KEY: ""
+#   provider: ChatAnthropic
+#   args:
+#     model: claude-sonnet-4-20250514
+
+# --- Custom provider ---
+# active:
+#   environment:
+#     ANY_KEY: "environment variable needed for this provider"
+#   provider: "provider-string"
+#   args:
+#     model: "model-name"
+#   template: "template string"     # optional
+#   llamaHeader: "header string"    # optional
+#   llmRetries: 5                   # optional, defaults to 5
+#   llmRetryDelay: 10.0             # optional, defaults to 10.0