fix: Fix missing handling for AbortSignal in inference client

packages/shared/inference.ts

@@ -67,13 +67,18 @@ class OpenAIInferenceClient implements InferenceClient {
       ...defaultInferenceOptions,
       ..._opts,
     };
-    const chatCompletion = await this.openAI.chat.completions.create({
-      messages: [{ role: "user", content: prompt }],
-      model: serverConfig.inference.textModel,
-      response_format: optsWithDefaults.json
-        ? { type: "json_object" }
-        : undefined,
-    });
+    const chatCompletion = await this.openAI.chat.completions.create(
+      {
+        messages: [{ role: "user", content: prompt }],
+        model: serverConfig.inference.textModel,
+        response_format: optsWithDefaults.json
+          ? { type: "json_object" }
+          : undefined,
+      },
+      {
+        signal: optsWithDefaults.abortSignal,
+      },
+    );
 
     const response = chatCompletion.choices[0].message.content;
     if (!response) {
@@ -92,28 +97,33 @@ class OpenAIInferenceClient implements InferenceClient {
       ...defaultInferenceOptions,
       ..._opts,
     };
-    const chatCompletion = await this.openAI.chat.completions.create({
-      model: serverConfig.inference.imageModel,
-      response_format: optsWithDefaults.json
-        ? { type: "json_object" }
-        : undefined,
-      messages: [
-        {
-          role: "user",
-          content: [
-            { type: "text", text: prompt },
-            {
-              type: "image_url",
-              image_url: {
-                url: `data:${contentType};base64,${image}`,
-                detail: "low",
+    const chatCompletion = await this.openAI.chat.completions.create(
+      {
+        model: serverConfig.inference.imageModel,
+        response_format: optsWithDefaults.json
+          ? { type: "json_object" }
+          : undefined,
+        messages: [
+          {
+            role: "user",
+            content: [
+              { type: "text", text: prompt },
+              {
+                type: "image_url",
+                image_url: {
+                  url: `data:${contentType};base64,${image}`,
+                  detail: "low",
+                },
               },
-            },
-          ],
-        },
-      ],
-      max_tokens: 2000,
-    });
+            ],
+          },
+        ],
+        max_tokens: 2000,
+      },
+      {
+        signal: optsWithDefaults.abortSignal,
+      },
+    );
 
     const response = chatCompletion.choices[0].message.content;
     if (!response) {
@@ -156,6 +166,14 @@ class OllamaInferenceClient implements InferenceClient {
       ...defaultInferenceOptions,
       ..._opts,
     };
+
+    let newAbortSignal = undefined;
+    if (optsWithDefaults.abortSignal) {
+      newAbortSignal = AbortSignal.any([optsWithDefaults.abortSignal]);
+      newAbortSignal.onabort = () => {
+        this.ollama.abort();
+      };
+    }
     const chatCompletion = await this.ollama.chat({
       model: model,
       format: optsWithDefaults.json ? "json" : undefined,
@@ -182,13 +200,20 @@ class OllamaInferenceClient implements InferenceClient {
         }
       }
     } catch (e) {
+      if (e instanceof Error && e.name === "AbortError") {
+        throw e;
+      }
       // There seem to be some bug in ollama where you can get some successful response, but still throw an error.
       // Using stream + accumulating the response so far is a workaround.
       // https://github.com/ollama/ollama-js/issues/72
       totalTokens = NaN;
       logger.warn(
         `Got an exception from ollama, will still attempt to deserialize the response we got so far: ${e}`,
       );
+    } finally {
+      if (newAbortSignal) {
+        newAbortSignal.onabort = null;
+      }
     }
 
     return { response, totalTokens };