Add capability detection and streaming usage for Generic OpenAI provider (#5477)

- Add ENV-configurable model capabilities (tools, reasoning, vision,
  imageGeneration) via PROVIDER_SUPPORTS_* environment variables
- Add optional stream usage reporting via GENERIC_OPEN_AI_REPORT_USAGE
- Fix streaming tool calls for providers that send null tool_call.id
  (e.g., mlx-server) by generating fallback UUIDs
- Refactor supportsNativeToolCalling() to use centralized capabilities API

server/utils/AiProviders/genericOpenAi/index.js

@@ -208,6 +208,22 @@ class GenericOpenAiLLM {
     return textResponse;
   }
 
+  /**
+   * Includes the usage in the response if the ENV flag is set
+   * using the stream_options: { include_usage: true } option. This is available via ENV
+   * because some providers will crash with invalid options.
+   * @returns {Object}
+   */
+  #includeStreamOptionsUsage() {
+    if (!("GENERIC_OPEN_AI_REPORT_USAGE" in process.env)) return {};
+    if (process.env.GENERIC_OPEN_AI_REPORT_USAGE !== "true") return {};
+    return {
+      stream_options: {
+        include_usage: true,
+      },
+    };
+  }
+
   async getChatCompletion(messages = null, { temperature = 0.7 }) {
     const result = await LLMPerformanceMonitor.measureAsyncFunction(
       this.openai.chat.completions
@@ -256,6 +272,7 @@ class GenericOpenAiLLM {
         messages,
         temperature,
         max_tokens: this.maxTokens,
+        ...this.#includeStreamOptionsUsage(),
       }),
       messages,
       runPromptTokenCalculation: true,
@@ -404,6 +421,50 @@ class GenericOpenAiLLM {
     });
   }
 
+  /**
+   * Whether this provider supports native OpenAI-compatible tool calling.
+   * - This can be any OpenAI compatible provider that supports tool calling
+   * - We check the ENV to see if the provider supports tool calling.
+   * - If the ENV is not set, we default to false.
+   * @returns {boolean}
+   */
+  #supportsCapabilityFromENV(capability = "") {
+    const CapabilityEnvMap = {
+      tools: "PROVIDER_SUPPORTS_NATIVE_TOOL_CALLING",
+      reasoning: "PROVIDER_SUPPORTS_REASONING",
+      imageGeneration: "PROVIDER_SUPPORTS_IMAGE_GENERATION",
+      vision: "PROVIDER_SUPPORTS_VISION",
+    };
+
+    const envKey = CapabilityEnvMap[capability];
+    if (!envKey) return false;
+    if (!(envKey in process.env)) return false;
+    return process.env[envKey]?.includes("generic-openai") || false;
+  }
+
+  /**
+   * Returns the capabilities of the model.
+   * @returns {{tools: 'unknown' | boolean, reasoning: 'unknown' | boolean, imageGeneration: 'unknown' | boolean, vision: 'unknown' | boolean}}
+   */
+  getModelCapabilities() {
+    try {
+      return {
+        tools: this.#supportsCapabilityFromENV("tools"),
+        reasoning: this.#supportsCapabilityFromENV("reasoning"),
+        imageGeneration: this.#supportsCapabilityFromENV("imageGeneration"),
+        vision: this.#supportsCapabilityFromENV("vision"),
+      };
+    } catch (error) {
+      console.error("Error getting model capabilities:", error);
+      return {
+        tools: "unknown",
+        reasoning: "unknown",
+        imageGeneration: "unknown",
+        vision: "unknown",
+      };
+    }
+  }
+
   // Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
   async embedTextInput(textInput) {
     return await this.embedder.embedTextInput(textInput);

server/utils/agents/aibitat/providers/genericOpenAi.js

@@ -58,18 +58,20 @@ class GenericOpenAiProvider extends InheritMultiple([Provider, UnTooled]) {
    */
   supportsNativeToolCalling() {
     if (this._supportsToolCalling !== null) return this._supportsToolCalling;
-    const supportsToolCalling =
+    const genericOpenAi = new GenericOpenAiLLM(null, this.model);
-      this.supportsNativeToolCallingViaEnv("generic-openai");
+    const capabilities = genericOpenAi.getModelCapabilities();
-    if (supportsToolCalling)
+    this._supportsToolCalling = capabilities.tools === true;
+
+    if (this._supportsToolCalling)
       this.providerLog(
-        "Generic OpenAI supports native tool calling is ENABLED via ENV."
+        "Generic OpenAI supports native tool calling is ENABLED."
       );
     else
       this.providerLog(
-        "Generic OpenAI supports native tool calling is DISABLED via ENV. Will use UnTooled instead."
+        "Generic OpenAI supports native tool calling is DISABLED. Will use UnTooled instead."
       );
-    this._supportsToolCalling = supportsToolCalling;
+
-    return supportsToolCalling;
+    return this._supportsToolCalling;
   }
 
   async #handleFunctionCallChat({ messages = [] }) {

server/utils/agents/aibitat/providers/helpers/tooled.js

@@ -227,13 +227,19 @@ async function tooledStream(
       for (const toolCall of choice.delta.tool_calls) {
         const idx = toolCall.index ?? 0;
 
-        if (toolCall.id) {
+        // Initialize tool call entry if it doesn't exist yet.
+        // Some providers (e.g. mlx-server) send id as null, so we generate one.
+        if (!toolCallsByIndex[idx]) {
           toolCallsByIndex[idx] = {
-            id: toolCall.id,
+            id: toolCall.id || `call_${v4()}`,
             name: toolCall.function?.name || "",
             arguments: toolCall.function?.arguments || "",
           };
-        } else if (toolCallsByIndex[idx]) {
+        } else {
+          // Update existing entry with streamed data
+          if (toolCall.id && !toolCallsByIndex[idx].id.startsWith("call_")) {
+            toolCallsByIndex[idx].id = toolCall.id;
+          }
           if (toolCall.function?.name) {
             toolCallsByIndex[idx].name += toolCall.function.name;
           }

server/utils/helpers/updateENV.js

@@ -1334,8 +1334,12 @@ function dumpENV() {
     // Allow disabling of streaming for AWS Bedrock
     "AWS_BEDROCK_STREAMING_DISABLED",
 
-    // Allow native tool calling for specific providers.
+    // Allow capabilities for specific providers.
     "PROVIDER_SUPPORTS_NATIVE_TOOL_CALLING",
+    "PROVIDER_SUPPORTS_REASONING",
+    "PROVIDER_SUPPORTS_IMAGE_GENERATION",
+    "PROVIDER_SUPPORTS_VISION",
+    "GENERIC_OPEN_AI_REPORT_USAGE",
 
     // Allow auto-approval of skills
     "AGENT_AUTO_APPROVED_SKILLS",