add parallelToolCalls option to pass it to the API

src/LangtailPrompts.spec.ts

@@ -245,6 +245,42 @@ describe.skipIf(!liveTesting)(
 
 describe("LangtailPrompts", () => {
   describe("invoke with optional callbacks", () => {
+
+    it("should pass parallel_tool_calls param to fetch", async () => {
+      const mockFetch = vi.fn().mockResolvedValue({
+        ok: true,
+        status: 200,
+        json: async () => ({
+          choices: [
+            {
+              message: {
+                content: "Test response",
+              },
+            },
+          ],
+        }),
+        headers: new Headers({
+          'Content-Type': 'application/json',
+          'X-API-Key': 'test-api-key',
+          'x-langtail-thread-id': 'test-thread-id'
+        }),
+      });
+
+      const lt = new LangtailPrompts({
+        apiKey: "test-api-key",
+        fetch: mockFetch,
+      });
+
+      await lt.invoke({
+        prompt: "test-prompt",
+        environment: "production",
+        parallelToolCalls: true,
+      });
+
+      expect(mockFetch).toHaveBeenCalled();
+      const body = JSON.parse(mockFetch.mock.calls[0][1].body);
+      expect(body).toHaveProperty('parallelToolCalls', true);
+    });
     it("should trigger onRawResponse callback when response is returned", async () => {
       const mockFetch = vi.fn().mockResolvedValue({
         ok: true,

src/LangtailPrompts.ts

@@ -45,6 +45,7 @@ export type IRequestParams<P extends PromptSlug, E extends Environment<P> = unde
 
 export type IRequestParamsStream<P extends PromptSlug, E extends Environment<P> = undefined, V extends Version<P, E> = undefined, S extends boolean | undefined = false> = IRequestParams<P, E, V> & {
   stream?: S
+  parallelToolCalls?: boolean
 }
 
 export type IInvokeOptionalCallbacks = {

src/getOpenAIBody.test.ts

@@ -117,6 +117,39 @@ describe("getOpenAIBody", () => {
     `)
   })
 
+
+  it("should add parallel_tool_calls param when it is set in parsedBody", () => {
+    const completionConfig = {
+      state: {
+        type: "chat" as const,
+        args: {
+          model: "gpt-3.5-turbo",
+          max_tokens: 100,
+          temperature: 0.8,
+          top_p: 1,
+          presence_penalty: 0,
+          frequency_penalty: 0,
+          jsonmode: false,
+          seed: 123,
+          stop: [],
+        },
+        template: [
+          {
+            role: "system" as const,
+            content: "tell me a story",
+          },
+        ],
+      },
+      chatInput: {},
+    }
+
+    const openAIbody = getOpenAIBody(completionConfig, {
+      parallelToolCalls: true,
+    })
+
+    expect(openAIbody).toHaveProperty('parallel_tool_calls', true)
+  })
+
   it("should override parameters from the playground with the ones in parsedBody", () => {
     const completionConfig = {
       state: {

src/getOpenAIBody.ts

@@ -52,6 +52,9 @@ export function getOpenAIBody(
     temperature: parsedBody.temperature ?? completionArgs.temperature,
     messages: inputMessages,
     top_p: parsedBody.top_p ?? completionArgs.top_p,
+    ...(parsedBody.parallelToolCalls !== undefined
+      ? { parallel_tool_calls: parsedBody.parallelToolCalls }
+      : {}),
     presence_penalty:
       parsedBody.presence_penalty ?? completionArgs.presence_penalty,
     frequency_penalty:

src/schemas.ts

@@ -213,6 +213,7 @@ export const bodyMetadataSchema = z
 
 export const langtailBodySchema = z.object({
   doNotRecord: z.boolean().optional(),
+  parallelToolCalls: z.boolean().optional(),
   metadata: bodyMetadataSchema,
   _langtailTestRunId: z.string().optional(),
   _langtailTestInputId: z.string().optional(),
@@ -226,6 +227,7 @@ export const openAIBodySchemaObjectDefinition = {
   max_tokens: z.number().optional(),
   temperature: z.number().optional(),
   top_p: z.number().optional(),
+  parallel_tool_calls: z.boolean().optional(),
   presence_penalty: z.number().optional(),
   frequency_penalty: z.number().optional(),
   model: z.string().optional(),