diff --git a/.gitignore b/.gitignore
index d7adbe2..a0ad719 100644
--- a/.gitignore
+++ b/.gitignore
@@ -32,3 +32,6 @@ pnpmfile.js
 # env files
 .env
 !.env.example
+
+# Sensible example
+examples/insurance
diff --git a/.idea/runConfigurations/build_watch.xml b/.idea/runConfigurations/build_watch.xml
new file mode 100644
index 0000000..505a13e
--- /dev/null
+++ b/.idea/runConfigurations/build_watch.xml
@@ -0,0 +1,12 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="build:watch" type="js.build_tools.npm">
+    <package-json value="$PROJECT_DIR$/package.json" />
+    <command value="run" />
+    <scripts>
+      <script value="build:watch" />
+    </scripts>
+    <node-interpreter value="project" />
+    <envs />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/.idea/runConfigurations/tests.xml b/.idea/runConfigurations/tests.xml
new file mode 100644
index 0000000..71bf2fb
--- /dev/null
+++ b/.idea/runConfigurations/tests.xml
@@ -0,0 +1,11 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="tests" type="JavaScriptTestRunnerJest">
+    <node-interpreter value="project" />
+    <jest-package value="$PROJECT_DIR$/node_modules/jest" />
+    <working-dir value="$PROJECT_DIR$" />
+    <jest-options value="--watch --runInBand --detectOpenHandles" />
+    <envs />
+    <scope-kind value="ALL" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/dist/index.cjs b/dist/index.cjs
index a912bb6..436daac 100644
--- a/dist/index.cjs
+++ b/dist/index.cjs
@@ -13,7 +13,7 @@ class Assistant {
     constructor(params) {
         this.client = params.client;
         this.instructions = params.instructions;
-        this.functions = params.functions;
+        this.tools = params.tools;
         this.deployment = params.deployment;
     }
     listChatCompletions(messages) {
@@ -24,7 +24,7 @@ class Assistant {
         };
         messages = [systemMessage, ...messages];
         const options = {
-            functions: this.functions,
+            tools: this.tools,
         };
         const completions = this.client.listChatCompletions(this.deployment, messages, options);
         return stream.Readable.from(completions, {
@@ -36,8 +36,9 @@ class Assistant {
 class Thread extends EventEmitter {
     constructor(messages = []) {
         super();
-        this.messages = messages;
+        this.messages = [];
         this._stream = null;
+        this.messages = messages;
     }
     get stream() {
         if (!this._stream) {
@@ -46,8 +47,7 @@ class Thread extends EventEmitter {
         return this._stream;
     }
     addMessage(message) {
-        this.messages.push(message);
-        this.emit('message', message);
+        this.doAddMessage(message);
     }
     run(assistant) {
         this._stream = new stream.Readable({
@@ -57,7 +57,8 @@ class Thread extends EventEmitter {
     }
     doRun(assistant) {
         this.emit('in_progress');
-        const stream = assistant.listChatCompletions(this.messages);
+        const messages = this.getRequestMessages();
+        const stream = assistant.listChatCompletions(messages);
         /**
          * When the LLM responds with a function call, the first completion's first choice looks like this:
          * {
@@ -90,12 +91,32 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const name = delta.functionCall.name;
-                this.handleStreamAsFunctionCall(name, stream, assistant);
+            if (delta.toolCalls.length > 0) {
+                this.handleStreamAsToolCalls(delta.toolCalls, stream, assistant);
             }
             else {
-                this.handleStreamAsChatMessage(stream);
+                this.handleStreamAsChatResponseMessage(stream);
+            }
+        });
+    }
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    getRequestMessages() {
+        return this.messages.map((m) => {
+            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {
+                // These are messages from the application (a.k.a request messages)
+                return m;
+            }
+            else {
+                // These are messages from the assistant (a.k.a response messages)
+                const responseMessage = m;
+                return {
+                    role: 'assistant',
+                    content: responseMessage.content,
+                    toolCalls: responseMessage.toolCalls,
+                };
             }
         });
     }
@@ -117,8 +138,8 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    handleStreamAsFunctionCall(name, stream, assistant) {
-        let args = '';
+    handleStreamAsToolCalls(toolCalls, stream, assistant) {
+        const argsList = Array(toolCalls.length).fill('');
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
             if (!choice) {
@@ -128,36 +149,35 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const functionCall = delta.functionCall;
-                if (functionCall.arguments) {
-                    args += functionCall.arguments;
-                }
-            }
-            if (choice.finishReason === 'function_call') {
-                const functionCall = {
-                    name,
-                    arguments: args,
-                };
+            delta.toolCalls.forEach((toolCall, index) => {
+                argsList[index] += toolCall.function.arguments;
+            });
+            if (choice.finishReason === 'tool_calls') {
+                const finalToolCalls = toolCalls.map((toolCall, index) => ({
+                    ...toolCall,
+                    function: {
+                        ...toolCall.function,
+                        arguments: argsList[index],
+                    },
+                }));
                 // Adds the assistant's response to the messages
                 const message = {
                     role: 'assistant',
                     content: null,
-                    functionCall,
+                    toolCalls: finalToolCalls,
                 };
-                this.addMessage(message);
-                const requiredAction = new RequiredAction({
-                    name,
-                    arguments: args,
-                });
-                requiredAction.on('submitting', (toolOutput) => {
-                    // Adds the tool output to the messages
-                    const message = {
-                        role: 'function',
-                        name: functionCall.name,
-                        content: JSON.stringify(toolOutput),
-                    };
-                    this.addMessage(message);
+                this.doAddMessage(message);
+                const requiredAction = new RequiredAction(finalToolCalls);
+                requiredAction.on('submitting', (toolOutputs) => {
+                    // Adds the tool outputs to the messages
+                    for (const toolOutput of toolOutputs) {
+                        const message = {
+                            role: 'tool',
+                            content: JSON.stringify(toolOutput.value),
+                            toolCallId: toolOutput.callId,
+                        };
+                        this.doAddMessage(message);
+                    }
                     this.doRun(assistant);
                 });
                 this.emit('requires_action', requiredAction);
@@ -182,7 +202,7 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    handleStreamAsChatMessage(stream) {
+    handleStreamAsChatResponseMessage(stream) {
         let content = '';
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
@@ -206,28 +226,44 @@ class Thread extends EventEmitter {
                 const message = {
                     role: 'assistant',
                     content,
+                    toolCalls: [],
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
                 this.emit('completed');
                 this._stream?.push(null);
             }
         });
     }
+    doAddMessage(message) {
+        this.messages.push(message);
+        this.emit('message', message);
+        if (isChatRequestMessage(message)) {
+            this.emit('message:request', message);
+        }
+        else {
+            this.emit('message:response', message);
+        }
+    }
 }
 class RequiredAction extends EventEmitter {
-    constructor(functionCall) {
+    constructor(toolCalls) {
         super();
-        this.toolCall = {
-            name: functionCall.name,
-            arguments: JSON.parse(functionCall.arguments),
-        };
+        this.toolCalls = toolCalls;
     }
-    submitToolOutput(toolOutput) {
-        this.emit('submitting', toolOutput);
+    submitToolOutputs(toolOutputs) {
+        this.emit('submitting', toolOutputs);
     }
 }
+function isChatResponseMessage(m) {
+    return 'toolCalls' in m;
+}
+function isChatRequestMessage(m) {
+    return !isChatResponseMessage(m);
+}
 
 exports.Assistant = Assistant;
 exports.RequiredAction = RequiredAction;
 exports.Thread = Thread;
+exports.isChatRequestMessage = isChatRequestMessage;
+exports.isChatResponseMessage = isChatResponseMessage;
 //# sourceMappingURL=index.cjs.map
diff --git a/dist/index.cjs.map b/dist/index.cjs.map
index 5ad512b..f40f5c3 100644
--- a/dist/index.cjs.map
+++ b/dist/index.cjs.map
@@ -1 +1 @@
-{"version":3,"file":"index.cjs","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type { FunctionDefinition, OpenAIClient } from '@azure/openai';\nimport type { GetChatCompletionsOptions } from '@azure/openai/types/src/api/models';\nimport type { ChatMessage } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    functions: FunctionDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly functions: FunctionDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.functions = params.functions;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            functions: this.functions,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type { ChatCompletions, ChatMessage, FunctionCall } from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private _stream: Readable | null = null;\n\n    constructor(private readonly messages: ChatMessage[] = []) {\n        super();\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatMessage): void {\n        this.messages.push(message);\n        this.emit('message', message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const stream = assistant.listChatCompletions(this.messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const name = delta.functionCall.name;\n                this.handleStreamAsFunctionCall(name, stream, assistant);\n            } else {\n                this.handleStreamAsChatMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsFunctionCall(\n        name: string,\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        let args = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const functionCall = delta.functionCall;\n                if (functionCall.arguments) {\n                    args += functionCall.arguments;\n                }\n            }\n\n            if (choice.finishReason === 'function_call') {\n                const functionCall: FunctionCall = {\n                    name,\n                    arguments: args,\n                };\n\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content: null,\n                    functionCall,\n                };\n                this.addMessage(message);\n\n                const requiredAction = new RequiredAction({\n                    name,\n                    arguments: args,\n                });\n\n                requiredAction.on('submitting', (toolOutput: ToolOutput) => {\n                    // Adds the tool output to the messages\n                    const message: ChatMessage = {\n                        role: 'function',\n                        name: functionCall.name,\n                        content: JSON.stringify(toolOutput),\n                    };\n                    this.addMessage(message);\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content,\n                };\n                this.addMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    toolCall: ToolCall;\n\n    constructor(functionCall: FunctionCall) {\n        super();\n\n        this.toolCall = {\n            name: functionCall.name,\n            arguments: JSON.parse(functionCall.arguments),\n        };\n    }\n\n    submitToolOutput(toolOutput: ToolOutput): void {\n        this.emit('submitting', toolOutput);\n    }\n}\n\nexport interface ToolCall {\n    name: string;\n    arguments: Record<string, unknown>;\n}\n\nexport interface ToolOutput {\n    value: 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+{"version":3,"file":"index.cjs","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type {\n    ChatRequestMessage,\n    ChatRequestSystemMessage,\n    GetChatCompletionsOptions,\n    OpenAIClient,\n} from '@azure/openai';\nimport type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    tools: ChatCompletionsToolDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly tools: ChatCompletionsToolDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.tools = params.tools;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatRequestMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatRequestSystemMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            tools: this.tools,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type {\n    ChatCompletions,\n    ChatCompletionsToolCall,\n    ChatRequestMessage,\n    ChatRequestToolMessage,\n    ChatResponseMessage,\n} from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private readonly messages: (ChatRequestMessage | ChatResponseMessage)[] =\n        [];\n    private _stream: Readable | null = null;\n\n    constructor(messages: ChatRequestMessage[] = []) {\n        super();\n        this.messages = messages;\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatRequestMessage): void {\n        this.doAddMessage(message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const messages = this.getRequestMessages();\n\n        const stream = assistant.listChatCompletions(messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.toolCalls.length > 0) {\n                this.handleStreamAsToolCalls(\n                    delta.toolCalls,\n                    stream,\n                    assistant,\n                );\n            } else {\n                this.handleStreamAsChatResponseMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only\n     * so they can be sent again to the LLM.\n     */\n    private getRequestMessages(): ChatRequestMessage[] {\n        return this.messages.map((m) => {\n            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {\n                // These are messages from the application (a.k.a request messages)\n                return m as ChatRequestMessage;\n            } else {\n                // These are messages from the assistant (a.k.a response messages)\n                const responseMessage = m as ChatResponseMessage;\n                return {\n                    role: 'assistant',\n                    content: responseMessage.content,\n                    toolCalls: responseMessage.toolCalls,\n                };\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsToolCalls(\n        toolCalls: ChatCompletionsToolCall[],\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        const argsList = Array(toolCalls.length).fill('');\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            delta.toolCalls.forEach((toolCall, index) => {\n                argsList[index] += toolCall.function.arguments;\n            });\n\n            if (choice.finishReason === 'tool_calls') {\n                const finalToolCalls: ChatCompletionsToolCall[] = toolCalls.map(\n                    (toolCall, index) => ({\n                        ...toolCall,\n                        function: {\n                            ...toolCall.function,\n                            arguments: argsList[index],\n                        },\n                    }),\n                );\n\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content: null,\n                    toolCalls: finalToolCalls,\n                };\n                this.doAddMessage(message);\n\n                const requiredAction = new RequiredAction(finalToolCalls);\n\n                requiredAction.on('submitting', (toolOutputs: ToolOutput[]) => {\n                    // Adds the tool outputs to the messages\n                    for (const toolOutput of toolOutputs) {\n                        const message: ChatRequestToolMessage = {\n                            role: 'tool',\n                            content: JSON.stringify(toolOutput.value),\n                            toolCallId: toolOutput.callId,\n                        };\n                        this.doAddMessage(message);\n                    }\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatResponseMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content,\n                    toolCalls: [],\n                };\n                this.doAddMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n\n    private doAddMessage(\n        message: ChatRequestMessage | ChatResponseMessage,\n    ): void {\n        this.messages.push(message);\n        this.emit('message', message);\n\n        if (isChatRequestMessage(message)) {\n            this.emit('message:request', message);\n        } else {\n            this.emit('message:response', message);\n        }\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    constructor(public readonly toolCalls: ChatCompletionsToolCall[]) {\n        super();\n    }\n\n    submitToolOutputs(toolOutputs: ToolOutput[]): void {\n        this.emit('submitting', toolOutputs);\n    }\n}\n\nexport interface ToolCall {\n    name: string;\n    arguments: Record<string, unknown>;\n}\n\nexport interface ToolOutput {\n    callId: string;\n    value: unknown;\n}\n\nexport function isChatResponseMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatResponseMessage {\n    return 'toolCalls' in m;\n}\n\nexport function isChatRequestMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatRequestMessage {\n    return !isChatResponseMessage(m);\n}\n"],"names":["Readable"],"mappings":";;;;;;;;;;;MAgBa,SAAS,CAAA;AAOlB,IAAA,WAAA,CAAY,MAA6B,EAAA;AACrC,QAAA,IAAI,CAAC,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AAC5B,QAAA,IAAI,CAAC,YAAY,GAAG,MAAM,CAAC,YAAY,CAAC;AACxC,QAAA,IAAI,CAAC,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;AAC1B,QAAA,IAAI,CAAC,UAAU,GAAG,MAAM,CAAC,UAAU,CAAC;KACvC;AAED,IAAA,mBAAmB,CAAC,QAA8B,EAAA;;AAE9C,QAAA,MAAM,aAAa,GAA6B;AAC5C,YAAA,IAAI,EAAE,QAAQ;YACd,OAAO,EAAE,IAAI,CAAC,YAAY;SAC7B,CAAC;AACF,QAAA,QAAQ,GAAG,CAAC,aAAa,EAAE,GAAG,QAAQ,CAAC,CAAC;AAExC,QAAA,MAAM,OAAO,GAA8B;YACvC,KAAK,EAAE,IAAI,CAAC,KAAK;SACpB,CAAC;AAEF,QAAA,MAAM,WAAW,GAAG,IAAI,CAAC,MAAM,CAAC,mBAAmB,CAC/C,IAAI,CAAC,UAAU,EACf,QAAQ,EACR,OAAO,CACV,CAAC;AAEF,QAAA,OAAOA,eAAQ,CAAC,IAAI,CAAC,WAAW,EAAE;AAC9B,YAAA,UAAU,EAAE,IAAI;AACnB,SAAA,CAAC,CAAC;KACN;AACJ;;ACzCK,MAAO,MAAO,SAAQ,YAAY,CAAA;AAKpC,IAAA,WAAA,CAAY,WAAiC,EAAE,EAAA;AAC3C,QAAA,KAAK,EAAE,CAAC;QALK,IAAQ,CAAA,QAAA,GACrB,EAAE,CAAC;QACC,IAAO,CAAA,OAAA,GAAoB,IAAI,CAAC;AAIpC,QAAA,IAAI,CAAC,QAAQ,GAAG,QAAQ,CAAC;KAC5B;AAED,IAAA,IAAI,MAAM,GAAA;AACN,QAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,YAAA,OAAO,IAAI,CAAC;AACf,SAAA;QAED,OAAO,IAAI,CAAC,OAAO,CAAC;KACvB;AAED,IAAA,UAAU,CAAC,OAA2B,EAAA;AAClC,QAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;KAC9B;AAED,IAAA,GAAG,CAAC,SAAoB,EAAA;AACpB,QAAA,IAAI,CAAC,OAAO,GAAG,IAAIA,eAAQ,CAAC;AACxB,YAAA,IAAI,EAAE,MAAK,GAAG;AACjB,SAAA,CAAC,CAAC;AACH,QAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;KACzB;AAEO,IAAA,KAAK,CAAC,SAAoB,EAAA;AAC9B,QAAA,IAAI,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC;AAEzB,QAAA,MAAM,QAAQ,GAAG,IAAI,CAAC,kBAAkB,EAAE,CAAC;QAE3C,MAAM,MAAM,GAAG,SAAS,CAAC,mBAAmB,CAAC,QAAQ,CAAC,CAAC;AAEvD;;;;;;;;;;;;;;;;;;;;;;AAsBG;QACH,MAAM,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,UAA2B,KAAI;YAChD,MAAM,MAAM,GAAG,UAAU,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACrC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AAED,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;AAED,YAAA,IAAI,KAAK,CAAC,SAAS,CAAC,MAAM,GAAG,CAAC,EAAE;gBAC5B,IAAI,CAAC,uBAAuB,CACxB,KAAK,CAAC,SAAS,EACf,MAAM,EACN,SAAS,CACZ,CAAC;AACL,aAAA;AAAM,iBAAA;AACH,gBAAA,IAAI,CAAC,iCAAiC,CAAC,MAAM,CAAC,CAAC;AAClD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;AAGG;IACK,kBAAkB,GAAA;QACtB,OAAO,IAAI,CAAC,QAAQ,CAAC,GAAG,CAAC,CAAC,CAAC,KAAI;AAC3B,YAAA,IAAI,CAAC,CAAC,IAAI,KAAK,QAAQ,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,EAAE;;AAE/D,gBAAA,OAAO,CAAuB,CAAC;AAClC,aAAA;AAAM,iBAAA;;gBAEH,MAAM,eAAe,GAAG,CAAwB,CAAC;gBACjD,OAAO;AACH,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO,EAAE,eAAe,CAAC,OAAO;oBAChC,SAAS,EAAE,eAAe,CAAC,SAAS;iBACvC,CAAC;AACL,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,uBAAuB,CAC3B,SAAoC,EACpC,MAAgB,EAChB,SAAoB,EAAA;AAEpB,QAAA,MAAM,QAAQ,GAAG,KAAK,CAAC,SAAS,CAAC,MAAM,CAAC,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QAElD,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,KAAK,CAAC,SAAS,CAAC,OAAO,CAAC,CAAC,QAAQ,EAAE,KAAK,KAAI;gBACxC,QAAQ,CAAC,KAAK,CAAC,IAAI,QAAQ,CAAC,QAAQ,CAAC,SAAS,CAAC;AACnD,aAAC,CAAC,CAAC;AAEH,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,YAAY,EAAE;AACtC,gBAAA,MAAM,cAAc,GAA8B,SAAS,CAAC,GAAG,CAC3D,CAAC,QAAQ,EAAE,KAAK,MAAM;AAClB,oBAAA,GAAG,QAAQ;AACX,oBAAA,QAAQ,EAAE;wBACN,GAAG,QAAQ,CAAC,QAAQ;AACpB,wBAAA,SAAS,EAAE,QAAQ,CAAC,KAAK,CAAC;AAC7B,qBAAA;AACJ,iBAAA,CAAC,CACL,CAAC;;AAGF,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;AACjB,oBAAA,OAAO,EAAE,IAAI;AACb,oBAAA,SAAS,EAAE,cAAc;iBAC5B,CAAC;AACF,gBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAE3B,gBAAA,MAAM,cAAc,GAAG,IAAI,cAAc,CAAC,cAAc,CAAC,CAAC;gBAE1D,cAAc,CAAC,EAAE,CAAC,YAAY,EAAE,CAAC,WAAyB,KAAI;;AAE1D,oBAAA,KAAK,MAAM,UAAU,IAAI,WAAW,EAAE;AAClC,wBAAA,MAAM,OAAO,GAA2B;AACpC,4BAAA,IAAI,EAAE,MAAM;4BACZ,OAAO,EAAE,IAAI,CAAC,SAAS,CAAC,UAAU,CAAC,KAAK,CAAC;4BACzC,UAAU,EAAE,UAAU,CAAC,MAAM;yBAChC,CAAC;AACF,wBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAC9B,qBAAA;AAED,oBAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;AAC1B,iBAAC,CAAC,CAAC;AAEH,gBAAA,IAAI,CAAC,IAAI,CAAC,iBAAiB,EAAE,cAAc,CAAC,CAAC;AAChD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,iCAAiC,CAAC,MAAgB,EAAA;QACtD,IAAI,OAAO,GAAG,EAAE,CAAC;QAEjB,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,IAAI,KAAK,CAAC,OAAO,EAAE;AACf,gBAAA,OAAO,IAAI,KAAK,CAAC,OAAO,CAAC;;AAGzB,gBAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,oBAAA,MAAM,IAAI,KAAK,CAAC,qBAAqB,CAAC,CAAC;AAC1C,iBAAA;gBACD,IAAI,CAAC,OAAO,EAAE,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACrC,aAAA;AAED,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,MAAM,EAAE;;AAEhC,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO;AACP,oBAAA,SAAS,EA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\ No newline at end of file
diff --git a/dist/index.esm.js b/dist/index.esm.js
index c668fc4..2f8e194 100644
--- a/dist/index.esm.js
+++ b/dist/index.esm.js
@@ -11,7 +11,7 @@ class Assistant {
     constructor(params) {
         this.client = params.client;
         this.instructions = params.instructions;
-        this.functions = params.functions;
+        this.tools = params.tools;
         this.deployment = params.deployment;
     }
     listChatCompletions(messages) {
@@ -22,7 +22,7 @@ class Assistant {
         };
         messages = [systemMessage, ...messages];
         const options = {
-            functions: this.functions,
+            tools: this.tools,
         };
         const completions = this.client.listChatCompletions(this.deployment, messages, options);
         return Readable.from(completions, {
@@ -34,8 +34,9 @@ class Assistant {
 class Thread extends EventEmitter {
     constructor(messages = []) {
         super();
-        this.messages = messages;
+        this.messages = [];
         this._stream = null;
+        this.messages = messages;
     }
     get stream() {
         if (!this._stream) {
@@ -44,8 +45,7 @@ class Thread extends EventEmitter {
         return this._stream;
     }
     addMessage(message) {
-        this.messages.push(message);
-        this.emit('message', message);
+        this.doAddMessage(message);
     }
     run(assistant) {
         this._stream = new Readable({
@@ -55,7 +55,8 @@ class Thread extends EventEmitter {
     }
     doRun(assistant) {
         this.emit('in_progress');
-        const stream = assistant.listChatCompletions(this.messages);
+        const messages = this.getRequestMessages();
+        const stream = assistant.listChatCompletions(messages);
         /**
          * When the LLM responds with a function call, the first completion's first choice looks like this:
          * {
@@ -88,12 +89,32 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const name = delta.functionCall.name;
-                this.handleStreamAsFunctionCall(name, stream, assistant);
+            if (delta.toolCalls.length > 0) {
+                this.handleStreamAsToolCalls(delta.toolCalls, stream, assistant);
             }
             else {
-                this.handleStreamAsChatMessage(stream);
+                this.handleStreamAsChatResponseMessage(stream);
+            }
+        });
+    }
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    getRequestMessages() {
+        return this.messages.map((m) => {
+            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {
+                // These are messages from the application (a.k.a request messages)
+                return m;
+            }
+            else {
+                // These are messages from the assistant (a.k.a response messages)
+                const responseMessage = m;
+                return {
+                    role: 'assistant',
+                    content: responseMessage.content,
+                    toolCalls: responseMessage.toolCalls,
+                };
             }
         });
     }
@@ -115,8 +136,8 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    handleStreamAsFunctionCall(name, stream, assistant) {
-        let args = '';
+    handleStreamAsToolCalls(toolCalls, stream, assistant) {
+        const argsList = Array(toolCalls.length).fill('');
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
             if (!choice) {
@@ -126,36 +147,35 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const functionCall = delta.functionCall;
-                if (functionCall.arguments) {
-                    args += functionCall.arguments;
-                }
-            }
-            if (choice.finishReason === 'function_call') {
-                const functionCall = {
-                    name,
-                    arguments: args,
-                };
+            delta.toolCalls.forEach((toolCall, index) => {
+                argsList[index] += toolCall.function.arguments;
+            });
+            if (choice.finishReason === 'tool_calls') {
+                const finalToolCalls = toolCalls.map((toolCall, index) => ({
+                    ...toolCall,
+                    function: {
+                        ...toolCall.function,
+                        arguments: argsList[index],
+                    },
+                }));
                 // Adds the assistant's response to the messages
                 const message = {
                     role: 'assistant',
                     content: null,
-                    functionCall,
+                    toolCalls: finalToolCalls,
                 };
-                this.addMessage(message);
-                const requiredAction = new RequiredAction({
-                    name,
-                    arguments: args,
-                });
-                requiredAction.on('submitting', (toolOutput) => {
-                    // Adds the tool output to the messages
-                    const message = {
-                        role: 'function',
-                        name: functionCall.name,
-                        content: JSON.stringify(toolOutput),
-                    };
-                    this.addMessage(message);
+                this.doAddMessage(message);
+                const requiredAction = new RequiredAction(finalToolCalls);
+                requiredAction.on('submitting', (toolOutputs) => {
+                    // Adds the tool outputs to the messages
+                    for (const toolOutput of toolOutputs) {
+                        const message = {
+                            role: 'tool',
+                            content: JSON.stringify(toolOutput.value),
+                            toolCallId: toolOutput.callId,
+                        };
+                        this.doAddMessage(message);
+                    }
                     this.doRun(assistant);
                 });
                 this.emit('requires_action', requiredAction);
@@ -180,7 +200,7 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    handleStreamAsChatMessage(stream) {
+    handleStreamAsChatResponseMessage(stream) {
         let content = '';
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
@@ -204,26 +224,40 @@ class Thread extends EventEmitter {
                 const message = {
                     role: 'assistant',
                     content,
+                    toolCalls: [],
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
                 this.emit('completed');
                 this._stream?.push(null);
             }
         });
     }
+    doAddMessage(message) {
+        this.messages.push(message);
+        this.emit('message', message);
+        if (isChatRequestMessage(message)) {
+            this.emit('message:request', message);
+        }
+        else {
+            this.emit('message:response', message);
+        }
+    }
 }
 class RequiredAction extends EventEmitter {
-    constructor(functionCall) {
+    constructor(toolCalls) {
         super();
-        this.toolCall = {
-            name: functionCall.name,
-            arguments: JSON.parse(functionCall.arguments),
-        };
+        this.toolCalls = toolCalls;
     }
-    submitToolOutput(toolOutput) {
-        this.emit('submitting', toolOutput);
+    submitToolOutputs(toolOutputs) {
+        this.emit('submitting', toolOutputs);
     }
 }
+function isChatResponseMessage(m) {
+    return 'toolCalls' in m;
+}
+function isChatRequestMessage(m) {
+    return !isChatResponseMessage(m);
+}
 
-export { Assistant, RequiredAction, Thread };
+export { Assistant, RequiredAction, Thread, isChatRequestMessage, isChatResponseMessage };
 //# sourceMappingURL=index.esm.js.map
diff --git a/dist/index.esm.js.map b/dist/index.esm.js.map
index 81615bc..66e5769 100644
--- a/dist/index.esm.js.map
+++ b/dist/index.esm.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.esm.js","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type { FunctionDefinition, OpenAIClient } from '@azure/openai';\nimport type { GetChatCompletionsOptions } from '@azure/openai/types/src/api/models';\nimport type { ChatMessage } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    functions: FunctionDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly functions: FunctionDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.functions = params.functions;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            functions: this.functions,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type { ChatCompletions, ChatMessage, FunctionCall } from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private _stream: Readable | null = null;\n\n    constructor(private readonly messages: ChatMessage[] = []) {\n        super();\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatMessage): void {\n        this.messages.push(message);\n        this.emit('message', message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const stream = assistant.listChatCompletions(this.messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const name = delta.functionCall.name;\n                this.handleStreamAsFunctionCall(name, stream, assistant);\n            } else {\n                this.handleStreamAsChatMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsFunctionCall(\n        name: string,\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        let args = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const functionCall = delta.functionCall;\n                if (functionCall.arguments) {\n                    args += functionCall.arguments;\n                }\n            }\n\n            if (choice.finishReason === 'function_call') {\n                const functionCall: FunctionCall = {\n                    name,\n                    arguments: args,\n                };\n\n          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 });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content,\n                };\n                this.addMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    toolCall: ToolCall;\n\n    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+{"version":3,"file":"index.esm.js","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type {\n    ChatRequestMessage,\n    ChatRequestSystemMessage,\n    GetChatCompletionsOptions,\n    OpenAIClient,\n} from '@azure/openai';\nimport type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    tools: ChatCompletionsToolDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly tools: ChatCompletionsToolDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.tools = params.tools;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatRequestMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatRequestSystemMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            tools: this.tools,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type {\n    ChatCompletions,\n    ChatCompletionsToolCall,\n    ChatRequestMessage,\n    ChatRequestToolMessage,\n    ChatResponseMessage,\n} from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private readonly messages: (ChatRequestMessage | ChatResponseMessage)[] =\n        [];\n    private _stream: Readable | null = null;\n\n    constructor(messages: ChatRequestMessage[] = []) {\n        super();\n        this.messages = messages;\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatRequestMessage): void {\n        this.doAddMessage(message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const messages = this.getRequestMessages();\n\n        const stream = assistant.listChatCompletions(messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.toolCalls.length > 0) {\n                this.handleStreamAsToolCalls(\n                    delta.toolCalls,\n                    stream,\n                    assistant,\n                );\n            } else {\n                this.handleStreamAsChatResponseMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only\n     * so they can be sent again to the LLM.\n     */\n    private getRequestMessages(): ChatRequestMessage[] {\n        return this.messages.map((m) => {\n            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {\n                // These are messages from the application (a.k.a request messages)\n                return m as ChatRequestMessage;\n            } else {\n                // These are messages from the assistant (a.k.a response messages)\n                const responseMessage = m as ChatResponseMessage;\n                return {\n                    role: 'assistant',\n                    content: responseMessage.content,\n                    toolCalls: responseMessage.toolCalls,\n                };\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsToolCalls(\n        toolCalls: ChatCompletionsToolCall[],\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        const argsList = Array(toolCalls.length).fill('');\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            delta.toolCalls.forEach((toolCall, index) => {\n                argsList[index] += toolCall.function.arguments;\n            });\n\n            if (choice.finishReason === 'tool_calls') {\n                const finalToolCalls: ChatCompletionsToolCall[] = toolCalls.map(\n                    (toolCall, index) => ({\n                        ...toolCall,\n                        function: {\n                            ...toolCall.function,\n                            arguments: argsList[index],\n                        },\n                    }),\n                );\n\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content: null,\n                    toolCalls: finalToolCalls,\n                };\n                this.doAddMessage(message);\n\n                const requiredAction = new RequiredAction(finalToolCalls);\n\n                requiredAction.on('submitting', (toolOutputs: ToolOutput[]) => {\n                    // Adds the tool outputs to the messages\n                    for (const toolOutput of toolOutputs) {\n                        const message: ChatRequestToolMessage = {\n                            role: 'tool',\n                            content: JSON.stringify(toolOutput.value),\n                            toolCallId: toolOutput.callId,\n                        };\n                        this.doAddMessage(message);\n                    }\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatResponseMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content,\n                    toolCalls: [],\n                };\n                this.doAddMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n\n    private doAddMessage(\n        message: ChatRequestMessage | ChatResponseMessage,\n    ): void {\n        this.messages.push(message);\n        this.emit('message', message);\n\n        if (isChatRequestMessage(message)) {\n            this.emit('message:request', message);\n        } else {\n            this.emit('message:response', message);\n        }\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    constructor(public readonly toolCalls: ChatCompletionsToolCall[]) {\n        super();\n    }\n\n    submitToolOutputs(toolOutputs: ToolOutput[]): void {\n        this.emit('submitting', toolOutputs);\n    }\n}\n\nexport interface ToolCall {\n    name: string;\n    arguments: Record<string, unknown>;\n}\n\nexport interface ToolOutput {\n    callId: string;\n    value: unknown;\n}\n\nexport function isChatResponseMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatResponseMessage {\n    return 'toolCalls' in m;\n}\n\nexport function isChatRequestMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatRequestMessage {\n    return !isChatResponseMessage(m);\n}\n"],"names":[],"mappings":";;;;;;;;;MAgBa,SAAS,CAAA;AAOlB,IAAA,WAAA,CAAY,MAA6B,EAAA;AACrC,QAAA,IAAI,CAAC,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AAC5B,QAAA,IAAI,CAAC,YAAY,GAAG,MAAM,CAAC,YAAY,CAAC;AACxC,QAAA,IAAI,CAAC,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;AAC1B,QAAA,IAAI,CAAC,UAAU,GAAG,MAAM,CAAC,UAAU,CAAC;KACvC;AAED,IAAA,mBAAmB,CAAC,QAA8B,EAAA;;AAE9C,QAAA,MAAM,aAAa,GAA6B;AAC5C,YAAA,IAAI,EAAE,QAAQ;YACd,OAAO,EAAE,IAAI,CAAC,YAAY;SAC7B,CAAC;AACF,QAAA,QAAQ,GAAG,CAAC,aAAa,EAAE,GAAG,QAAQ,CAAC,CAAC;AAExC,QAAA,MAAM,OAAO,GAA8B;YACvC,KAAK,EAAE,IAAI,CAAC,KAAK;SACpB,CAAC;AAEF,QAAA,MAAM,WAAW,GAAG,IAAI,CAAC,MAAM,CAAC,mBAAmB,CAC/C,IAAI,CAAC,UAAU,EACf,QAAQ,EACR,OAAO,CACV,CAAC;AAEF,QAAA,OAAO,QAAQ,CAAC,IAAI,CAAC,WAAW,EAAE;AAC9B,YAAA,UAAU,EAAE,IAAI;AACnB,SAAA,CAAC,CAAC;KACN;AACJ;;ACzCK,MAAO,MAAO,SAAQ,YAAY,CAAA;AAKpC,IAAA,WAAA,CAAY,WAAiC,EAAE,EAAA;AAC3C,QAAA,KAAK,EAAE,CAAC;QALK,IAAQ,CAAA,QAAA,GACrB,EAAE,CAAC;QACC,IAAO,CAAA,OAAA,GAAoB,IAAI,CAAC;AAIpC,QAAA,IAAI,CAAC,QAAQ,GAAG,QAAQ,CAAC;KAC5B;AAED,IAAA,IAAI,MAAM,GAAA;AACN,QAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,YAAA,OAAO,IAAI,CAAC;AACf,SAAA;QAED,OAAO,IAAI,CAAC,OAAO,CAAC;KACvB;AAED,IAAA,UAAU,CAAC,OAA2B,EAAA;AAClC,QAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;KAC9B;AAED,IAAA,GAAG,CAAC,SAAoB,EAAA;AACpB,QAAA,IAAI,CAAC,OAAO,GAAG,IAAI,QAAQ,CAAC;AACxB,YAAA,IAAI,EAAE,MAAK,GAAG;AACjB,SAAA,CAAC,CAAC;AACH,QAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;KACzB;AAEO,IAAA,KAAK,CAAC,SAAoB,EAAA;AAC9B,QAAA,IAAI,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC;AAEzB,QAAA,MAAM,QAAQ,GAAG,IAAI,CAAC,kBAAkB,EAAE,CAAC;QAE3C,MAAM,MAAM,GAAG,SAAS,CAAC,mBAAmB,CAAC,QAAQ,CAAC,CAAC;AAEvD;;;;;;;;;;;;;;;;;;;;;;AAsBG;QACH,MAAM,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,UAA2B,KAAI;YAChD,MAAM,MAAM,GAAG,UAAU,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACrC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AAED,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;AAED,YAAA,IAAI,KAAK,CAAC,SAAS,CAAC,MAAM,GAAG,CAAC,EAAE;gBAC5B,IAAI,CAAC,uBAAuB,CACxB,KAAK,CAAC,SAAS,EACf,MAAM,EACN,SAAS,CACZ,CAAC;AACL,aAAA;AAAM,iBAAA;AACH,gBAAA,IAAI,CAAC,iCAAiC,CAAC,MAAM,CAAC,CAAC;AAClD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;AAGG;IACK,kBAAkB,GAAA;QACtB,OAAO,IAAI,CAAC,QAAQ,CAAC,GAAG,CAAC,CAAC,CAAC,KAAI;AAC3B,YAAA,IAAI,CAAC,CAAC,IAAI,KAAK,QAAQ,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,EAAE;;AAE/D,gBAAA,OAAO,CAAuB,CAAC;AAClC,aAAA;AAAM,iBAAA;;gBAEH,MAAM,eAAe,GAAG,CAAwB,CAAC;gBACjD,OAAO;AACH,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO,EAAE,eAAe,CAAC,OAAO;oBAChC,SAAS,EAAE,eAAe,CAAC,SAAS;iBACvC,CAAC;AACL,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,uBAAuB,CAC3B,SAAoC,EACpC,MAAgB,EAChB,SAAoB,EAAA;AAEpB,QAAA,MAAM,QAAQ,GAAG,KAAK,CAAC,SAAS,CAAC,MAAM,CAAC,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QAElD,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,KAAK,CAAC,SAAS,CAAC,OAAO,CAAC,CAAC,QAAQ,EAAE,KAAK,KAAI;gBACxC,QAAQ,CAAC,KAAK,CAAC,IAAI,QAAQ,CAAC,QAAQ,CAAC,SAAS,CAAC;AACnD,aAAC,CAAC,CAAC;AAEH,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,YAAY,EAAE;AACtC,gBAAA,MAAM,cAAc,GAA8B,SAAS,CAAC,GAAG,CAC3D,CAAC,QAAQ,EAAE,KAAK,MAAM;AAClB,oBAAA,GAAG,QAAQ;AACX,oBAAA,QAAQ,EAAE;wBACN,GAAG,QAAQ,CAAC,QAAQ;AACpB,wBAAA,SAAS,EAAE,QAAQ,CAAC,KAAK,CAAC;AAC7B,qBAAA;AACJ,iBAAA,CAAC,CACL,CAAC;;AAGF,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;AACjB,oBAAA,OAAO,EAAE,IAAI;AACb,oBAAA,SAAS,EAAE,cAAc;iBAC5B,CAAC;AACF,gBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAE3B,gBAAA,MAAM,cAAc,GAAG,IAAI,cAAc,CAAC,cAAc,CAAC,CAAC;gBAE1D,cAAc,CAAC,EAAE,CAAC,YAAY,EAAE,CAAC,WAAyB,KAAI;;AAE1D,oBAAA,KAAK,MAAM,UAAU,IAAI,WAAW,EAAE;AAClC,wBAAA,MAAM,OAAO,GAA2B;AACpC,4BAAA,IAAI,EAAE,MAAM;4BACZ,OAAO,EAAE,IAAI,CAAC,SAAS,CAAC,UAAU,CAAC,KAAK,CAAC;4BACzC,UAAU,EAAE,UAAU,CAAC,MAAM;yBAChC,CAAC;AACF,wBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAC9B,qBAAA;AAED,oBAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;AAC1B,iBAAC,CAAC,CAAC;AAEH,gBAAA,IAAI,CAAC,IAAI,CAAC,iBAAiB,EAAE,cAAc,CAAC,CAAC;AAChD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,iCAAiC,CAAC,MAAgB,EAAA;QACtD,IAAI,OAAO,GAAG,EAAE,CAAC;QAEjB,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,IAAI,KAAK,CAAC,OAAO,EAAE;AACf,gBAAA,OAAO,IAAI,KAAK,CAAC,OAAO,CAAC;;AAGzB,gBAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,oBAAA,MAAM,IAAI,KAAK,CAAC,qBAAqB,CAAC,CAAC;AAC1C,iBAAA;gBACD,IAAI,CAAC,OAAO,EAAE,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACrC,aAAA;AAED,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,MAAM,EAAE;;AAEhC,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO;AACP,oBAAA,SAAS,EAAE,EAAE;iBAChB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\ No newline at end of file
diff --git a/dist/index.js b/dist/index.js
index 1c909d6..3611543 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -13,7 +13,7 @@ class Assistant {
     constructor(params) {
         this.client = params.client;
         this.instructions = params.instructions;
-        this.functions = params.functions;
+        this.tools = params.tools;
         this.deployment = params.deployment;
     }
     listChatCompletions(messages) {
@@ -24,7 +24,7 @@ class Assistant {
         };
         messages = [systemMessage, ...messages];
         const options = {
-            functions: this.functions,
+            tools: this.tools,
         };
         const completions = this.client.listChatCompletions(this.deployment, messages, options);
         return stream.Readable.from(completions, {
@@ -36,8 +36,9 @@ class Assistant {
 class Thread extends EventEmitter {
     constructor(messages = []) {
         super();
-        this.messages = messages;
+        this.messages = [];
         this._stream = null;
+        this.messages = messages;
     }
     get stream() {
         if (!this._stream) {
@@ -46,8 +47,7 @@ class Thread extends EventEmitter {
         return this._stream;
     }
     addMessage(message) {
-        this.messages.push(message);
-        this.emit('message', message);
+        this.doAddMessage(message);
     }
     run(assistant) {
         this._stream = new stream.Readable({
@@ -57,7 +57,8 @@ class Thread extends EventEmitter {
     }
     doRun(assistant) {
         this.emit('in_progress');
-        const stream = assistant.listChatCompletions(this.messages);
+        const messages = this.getRequestMessages();
+        const stream = assistant.listChatCompletions(messages);
         /**
          * When the LLM responds with a function call, the first completion's first choice looks like this:
          * {
@@ -90,12 +91,32 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const name = delta.functionCall.name;
-                this.handleStreamAsFunctionCall(name, stream, assistant);
+            if (delta.toolCalls.length > 0) {
+                this.handleStreamAsToolCalls(delta.toolCalls, stream, assistant);
             }
             else {
-                this.handleStreamAsChatMessage(stream);
+                this.handleStreamAsChatResponseMessage(stream);
+            }
+        });
+    }
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    getRequestMessages() {
+        return this.messages.map((m) => {
+            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {
+                // These are messages from the application (a.k.a request messages)
+                return m;
+            }
+            else {
+                // These are messages from the assistant (a.k.a response messages)
+                const responseMessage = m;
+                return {
+                    role: 'assistant',
+                    content: responseMessage.content,
+                    toolCalls: responseMessage.toolCalls,
+                };
             }
         });
     }
@@ -117,8 +138,8 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    handleStreamAsFunctionCall(name, stream, assistant) {
-        let args = '';
+    handleStreamAsToolCalls(toolCalls, stream, assistant) {
+        const argsList = Array(toolCalls.length).fill('');
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
             if (!choice) {
@@ -128,36 +149,35 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const functionCall = delta.functionCall;
-                if (functionCall.arguments) {
-                    args += functionCall.arguments;
-                }
-            }
-            if (choice.finishReason === 'function_call') {
-                const functionCall = {
-                    name,
-                    arguments: args,
-                };
+            delta.toolCalls.forEach((toolCall, index) => {
+                argsList[index] += toolCall.function.arguments;
+            });
+            if (choice.finishReason === 'tool_calls') {
+                const finalToolCalls = toolCalls.map((toolCall, index) => ({
+                    ...toolCall,
+                    function: {
+                        ...toolCall.function,
+                        arguments: argsList[index],
+                    },
+                }));
                 // Adds the assistant's response to the messages
                 const message = {
                     role: 'assistant',
                     content: null,
-                    functionCall,
+                    toolCalls: finalToolCalls,
                 };
-                this.addMessage(message);
-                const requiredAction = new RequiredAction({
-                    name,
-                    arguments: args,
-                });
-                requiredAction.on('submitting', (toolOutput) => {
-                    // Adds the tool output to the messages
-                    const message = {
-                        role: 'function',
-                        name: functionCall.name,
-                        content: JSON.stringify(toolOutput),
-                    };
-                    this.addMessage(message);
+                this.doAddMessage(message);
+                const requiredAction = new RequiredAction(finalToolCalls);
+                requiredAction.on('submitting', (toolOutputs) => {
+                    // Adds the tool outputs to the messages
+                    for (const toolOutput of toolOutputs) {
+                        const message = {
+                            role: 'tool',
+                            content: JSON.stringify(toolOutput.value),
+                            toolCallId: toolOutput.callId,
+                        };
+                        this.doAddMessage(message);
+                    }
                     this.doRun(assistant);
                 });
                 this.emit('requires_action', requiredAction);
@@ -182,7 +202,7 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    handleStreamAsChatMessage(stream) {
+    handleStreamAsChatResponseMessage(stream) {
         let content = '';
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
@@ -206,28 +226,44 @@ class Thread extends EventEmitter {
                 const message = {
                     role: 'assistant',
                     content,
+                    toolCalls: [],
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
                 this.emit('completed');
                 this._stream?.push(null);
             }
         });
     }
+    doAddMessage(message) {
+        this.messages.push(message);
+        this.emit('message', message);
+        if (isChatRequestMessage(message)) {
+            this.emit('message:request', message);
+        }
+        else {
+            this.emit('message:response', message);
+        }
+    }
 }
 class RequiredAction extends EventEmitter {
-    constructor(functionCall) {
+    constructor(toolCalls) {
         super();
-        this.toolCall = {
-            name: functionCall.name,
-            arguments: JSON.parse(functionCall.arguments),
-        };
+        this.toolCalls = toolCalls;
     }
-    submitToolOutput(toolOutput) {
-        this.emit('submitting', toolOutput);
+    submitToolOutputs(toolOutputs) {
+        this.emit('submitting', toolOutputs);
     }
 }
+function isChatResponseMessage(m) {
+    return 'toolCalls' in m;
+}
+function isChatRequestMessage(m) {
+    return !isChatResponseMessage(m);
+}
 
 exports.Assistant = Assistant;
 exports.RequiredAction = RequiredAction;
 exports.Thread = Thread;
+exports.isChatRequestMessage = isChatRequestMessage;
+exports.isChatResponseMessage = isChatResponseMessage;
 //# sourceMappingURL=index.js.map
diff --git a/dist/index.js.map b/dist/index.js.map
index 4165291..22934d0 100644
--- a/dist/index.js.map
+++ b/dist/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type { FunctionDefinition, OpenAIClient } from '@azure/openai';\nimport type { GetChatCompletionsOptions } from '@azure/openai/types/src/api/models';\nimport type { ChatMessage } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    functions: FunctionDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly functions: FunctionDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.functions = params.functions;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            functions: this.functions,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type { ChatCompletions, ChatMessage, FunctionCall } from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private _stream: Readable | null = null;\n\n    constructor(private readonly messages: ChatMessage[] = []) {\n        super();\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatMessage): void {\n        this.messages.push(message);\n        this.emit('message', message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const stream = assistant.listChatCompletions(this.messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const name = delta.functionCall.name;\n                this.handleStreamAsFunctionCall(name, stream, assistant);\n            } else {\n                this.handleStreamAsChatMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsFunctionCall(\n        name: string,\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        let args = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const functionCall = delta.functionCall;\n                if (functionCall.arguments) {\n                    args += functionCall.arguments;\n                }\n            }\n\n            if (choice.finishReason === 'function_call') {\n                const functionCall: FunctionCall = {\n                    name,\n                    arguments: args,\n                };\n\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content: null,\n                    functionCall,\n                };\n                this.addMessage(message);\n\n                const requiredAction = new RequiredAction({\n                    name,\n                    arguments: args,\n                });\n\n                requiredAction.on('submitting', (toolOutput: ToolOutput) => {\n                    // Adds the tool output to the messages\n                    const message: ChatMessage = {\n                        role: 'function',\n                        name: functionCall.name,\n                        content: JSON.stringify(toolOutput),\n                    };\n                    this.addMessage(message);\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content,\n                };\n                this.addMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    toolCall: ToolCall;\n\n    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+{"version":3,"file":"index.js","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type {\n    ChatRequestMessage,\n    ChatRequestSystemMessage,\n    GetChatCompletionsOptions,\n    OpenAIClient,\n} from '@azure/openai';\nimport type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    tools: ChatCompletionsToolDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly tools: ChatCompletionsToolDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.tools = params.tools;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatRequestMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatRequestSystemMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            tools: this.tools,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type {\n    ChatCompletions,\n    ChatCompletionsToolCall,\n    ChatRequestMessage,\n    ChatRequestToolMessage,\n    ChatResponseMessage,\n} from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private readonly messages: (ChatRequestMessage | ChatResponseMessage)[] =\n        [];\n    private _stream: Readable | null = null;\n\n    constructor(messages: ChatRequestMessage[] = []) {\n        super();\n        this.messages = messages;\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatRequestMessage): void {\n        this.doAddMessage(message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const messages = this.getRequestMessages();\n\n        const stream = assistant.listChatCompletions(messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.toolCalls.length > 0) {\n                this.handleStreamAsToolCalls(\n                    delta.toolCalls,\n                    stream,\n                    assistant,\n                );\n            } else {\n                this.handleStreamAsChatResponseMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only\n     * so they can be sent again to the LLM.\n     */\n    private getRequestMessages(): ChatRequestMessage[] {\n        return this.messages.map((m) => {\n            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {\n                // These are messages from the application (a.k.a request messages)\n                return m as ChatRequestMessage;\n            } else {\n                // These are messages from the assistant (a.k.a response messages)\n                const responseMessage = m as ChatResponseMessage;\n                return {\n                    role: 'assistant',\n                    content: responseMessage.content,\n                    toolCalls: responseMessage.toolCalls,\n                };\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsToolCalls(\n        toolCalls: ChatCompletionsToolCall[],\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        const argsList = Array(toolCalls.length).fill('');\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            delta.toolCalls.forEach((toolCall, index) => {\n                argsList[index] += toolCall.function.arguments;\n            });\n\n            if (choice.finishReason === 'tool_calls') {\n                const finalToolCalls: ChatCompletionsToolCall[] = toolCalls.map(\n                    (toolCall, index) => ({\n                        ...toolCall,\n                        function: {\n                            ...toolCall.function,\n                            arguments: argsList[index],\n                        },\n                    }),\n                );\n\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content: null,\n                    toolCalls: finalToolCalls,\n                };\n                this.doAddMessage(message);\n\n                const requiredAction = new RequiredAction(finalToolCalls);\n\n                requiredAction.on('submitting', (toolOutputs: ToolOutput[]) => {\n                    // Adds the tool outputs to the messages\n                    for (const toolOutput of toolOutputs) {\n                        const message: ChatRequestToolMessage = {\n                            role: 'tool',\n                            content: JSON.stringify(toolOutput.value),\n                            toolCallId: toolOutput.callId,\n                        };\n                        this.doAddMessage(message);\n                    }\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatResponseMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content,\n                    toolCalls: [],\n                };\n                this.doAddMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n\n    private doAddMessage(\n        message: ChatRequestMessage | ChatResponseMessage,\n    ): void {\n        this.messages.push(message);\n        this.emit('message', message);\n\n        if (isChatRequestMessage(message)) {\n            this.emit('message:request', message);\n        } else {\n            this.emit('message:response', message);\n        }\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    constructor(public readonly toolCalls: ChatCompletionsToolCall[]) {\n        super();\n    }\n\n    submitToolOutputs(toolOutputs: ToolOutput[]): void {\n        this.emit('submitting', toolOutputs);\n    }\n}\n\nexport interface ToolCall {\n    name: string;\n    arguments: Record<string, unknown>;\n}\n\nexport interface ToolOutput {\n    callId: string;\n    value: unknown;\n}\n\nexport function isChatResponseMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatResponseMessage {\n    return 'toolCalls' in m;\n}\n\nexport function isChatRequestMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatRequestMessage {\n    return !isChatResponseMessage(m);\n}\n"],"names":["Readable"],"mappings":";;;;;;;;;;;MAgBa,SAAS,CAAA;AAOlB,IAAA,WAAA,CAAY,MAA6B,EAAA;AACrC,QAAA,IAAI,CAAC,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AAC5B,QAAA,IAAI,CAAC,YAAY,GAAG,MAAM,CAAC,YAAY,CAAC;AACxC,QAAA,IAAI,CAAC,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;AAC1B,QAAA,IAAI,CAAC,UAAU,GAAG,MAAM,CAAC,UAAU,CAAC;KACvC;AAED,IAAA,mBAAmB,CAAC,QAA8B,EAAA;;AAE9C,QAAA,MAAM,aAAa,GAA6B;AAC5C,YAAA,IAAI,EAAE,QAAQ;YACd,OAAO,EAAE,IAAI,CAAC,YAAY;SAC7B,CAAC;AACF,QAAA,QAAQ,GAAG,CAAC,aAAa,EAAE,GAAG,QAAQ,CAAC,CAAC;AAExC,QAAA,MAAM,OAAO,GAA8B;YACvC,KAAK,EAAE,IAAI,CAAC,KAAK;SACpB,CAAC;AAEF,QAAA,MAAM,WAAW,GAAG,IAAI,CAAC,MAAM,CAAC,mBAAmB,CAC/C,IAAI,CAAC,UAAU,EACf,QAAQ,EACR,OAAO,CACV,CAAC;AAEF,QAAA,OAAOA,eAAQ,CAAC,IAAI,CAAC,WAAW,EAAE;AAC9B,YAAA,UAAU,EAAE,IAAI;AACnB,SAAA,CAAC,CAAC;KACN;AACJ;;ACzCK,MAAO,MAAO,SAAQ,YAAY,CAAA;AAKpC,IAAA,WAAA,CAAY,WAAiC,EAAE,EAAA;AAC3C,QAAA,KAAK,EAAE,CAAC;QALK,IAAQ,CAAA,QAAA,GACrB,EAAE,CAAC;QACC,IAAO,CAAA,OAAA,GAAoB,IAAI,CAAC;AAIpC,QAAA,IAAI,CAAC,QAAQ,GAAG,QAAQ,CAAC;KAC5B;AAED,IAAA,IAAI,MAAM,GAAA;AACN,QAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,YAAA,OAAO,IAAI,CAAC;AACf,SAAA;QAED,OAAO,IAAI,CAAC,OAAO,CAAC;KACvB;AAED,IAAA,UAAU,CAAC,OAA2B,EAAA;AAClC,QAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;KAC9B;AAED,IAAA,GAAG,CAAC,SAAoB,EAAA;AACpB,QAAA,IAAI,CAAC,OAAO,GAAG,IAAIA,eAAQ,CAAC;AACxB,YAAA,IAAI,EAAE,MAAK,GAAG;AACjB,SAAA,CAAC,CAAC;AACH,QAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;KACzB;AAEO,IAAA,KAAK,CAAC,SAAoB,EAAA;AAC9B,QAAA,IAAI,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC;AAEzB,QAAA,MAAM,QAAQ,GAAG,IAAI,CAAC,kBAAkB,EAAE,CAAC;QAE3C,MAAM,MAAM,GAAG,SAAS,CAAC,mBAAmB,CAAC,QAAQ,CAAC,CAAC;AAEvD;;;;;;;;;;;;;;;;;;;;;;AAsBG;QACH,MAAM,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,UAA2B,KAAI;YAChD,MAAM,MAAM,GAAG,UAAU,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACrC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AAED,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;AAED,YAAA,IAAI,KAAK,CAAC,SAAS,CAAC,MAAM,GAAG,CAAC,EAAE;gBAC5B,IAAI,CAAC,uBAAuB,CACxB,KAAK,CAAC,SAAS,EACf,MAAM,EACN,SAAS,CACZ,CAAC;AACL,aAAA;AAAM,iBAAA;AACH,gBAAA,IAAI,CAAC,iCAAiC,CAAC,MAAM,CAAC,CAAC;AAClD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;AAGG;IACK,kBAAkB,GAAA;QACtB,OAAO,IAAI,CAAC,QAAQ,CAAC,GAAG,CAAC,CAAC,CAAC,KAAI;AAC3B,YAAA,IAAI,CAAC,CAAC,IAAI,KAAK,QAAQ,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,EAAE;;AAE/D,gBAAA,OAAO,CAAuB,CAAC;AAClC,aAAA;AAAM,iBAAA;;gBAEH,MAAM,eAAe,GAAG,CAAwB,CAAC;gBACjD,OAAO;AACH,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO,EAAE,eAAe,CAAC,OAAO;oBAChC,SAAS,EAAE,eAAe,CAAC,SAAS;iBACvC,CAAC;AACL,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,uBAAuB,CAC3B,SAAoC,EACpC,MAAgB,EAChB,SAAoB,EAAA;AAEpB,QAAA,MAAM,QAAQ,GAAG,KAAK,CAAC,SAAS,CAAC,MAAM,CAAC,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QAElD,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,KAAK,CAAC,SAAS,CAAC,OAAO,CAAC,CAAC,QAAQ,EAAE,KAAK,KAAI;gBACxC,QAAQ,CAAC,KAAK,CAAC,IAAI,QAAQ,CAAC,QAAQ,CAAC,SAAS,CAAC;AACnD,aAAC,CAAC,CAAC;AAEH,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,YAAY,EAAE;AACtC,gBAAA,MAAM,cAAc,GAA8B,SAAS,CAAC,GAAG,CAC3D,CAAC,QAAQ,EAAE,KAAK,MAAM;AAClB,oBAAA,GAAG,QAAQ;AACX,oBAAA,QAAQ,EAAE;wBACN,GAAG,QAAQ,CAAC,QAAQ;AACpB,wBAAA,SAAS,EAAE,QAAQ,CAAC,KAAK,CAAC;AAC7B,qBAAA;AACJ,iBAAA,CAAC,CACL,CAAC;;AAGF,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;AACjB,oBAAA,OAAO,EAAE,IAAI;AACb,oBAAA,SAAS,EAAE,cAAc;iBAC5B,CAAC;AACF,gBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAE3B,gBAAA,MAAM,cAAc,GAAG,IAAI,cAAc,CAAC,cAAc,CAAC,CAAC;gBAE1D,cAAc,CAAC,EAAE,CAAC,YAAY,EAAE,CAAC,WAAyB,KAAI;;AAE1D,oBAAA,KAAK,MAAM,UAAU,IAAI,WAAW,EAAE;AAClC,wBAAA,MAAM,OAAO,GAA2B;AACpC,4BAAA,IAAI,EAAE,MAAM;4BACZ,OAAO,EAAE,IAAI,CAAC,SAAS,CAAC,UAAU,CAAC,KAAK,CAAC;4BACzC,UAAU,EAAE,UAAU,CAAC,MAAM;yBAChC,CAAC;AACF,wBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAC9B,qBAAA;AAED,oBAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;AAC1B,iBAAC,CAAC,CAAC;AAEH,gBAAA,IAAI,CAAC,IAAI,CAAC,iBAAiB,EAAE,cAAc,CAAC,CAAC;AAChD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,iCAAiC,CAAC,MAAgB,EAAA;QACtD,IAAI,OAAO,GAAG,EAAE,CAAC;QAEjB,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,IAAI,KAAK,CAAC,OAAO,EAAE;AACf,gBAAA,OAAO,IAAI,KAAK,CAAC,OAAO,CAAC;;AAGzB,gBAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,oBAAA,MAAM,IAAI,KAAK,CAAC,qBAAqB,CAAC,CAAC;AAC1C,iBAAA;gBACD,IAAI,CAAC,OAAO,EAAE,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACrC,aAAA;AAED,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,MAAM,EAAE;;AAEhC,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO;AACP,oBAAA,SAAS,EA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\ No newline at end of file
diff --git a/dist/index.mjs b/dist/index.mjs
index d65561b..69cf4b1 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -11,7 +11,7 @@ class Assistant {
     constructor(params) {
         this.client = params.client;
         this.instructions = params.instructions;
-        this.functions = params.functions;
+        this.tools = params.tools;
         this.deployment = params.deployment;
     }
     listChatCompletions(messages) {
@@ -22,7 +22,7 @@ class Assistant {
         };
         messages = [systemMessage, ...messages];
         const options = {
-            functions: this.functions,
+            tools: this.tools,
         };
         const completions = this.client.listChatCompletions(this.deployment, messages, options);
         return Readable.from(completions, {
@@ -34,8 +34,9 @@ class Assistant {
 class Thread extends EventEmitter {
     constructor(messages = []) {
         super();
-        this.messages = messages;
+        this.messages = [];
         this._stream = null;
+        this.messages = messages;
     }
     get stream() {
         if (!this._stream) {
@@ -44,8 +45,7 @@ class Thread extends EventEmitter {
         return this._stream;
     }
     addMessage(message) {
-        this.messages.push(message);
-        this.emit('message', message);
+        this.doAddMessage(message);
     }
     run(assistant) {
         this._stream = new Readable({
@@ -55,7 +55,8 @@ class Thread extends EventEmitter {
     }
     doRun(assistant) {
         this.emit('in_progress');
-        const stream = assistant.listChatCompletions(this.messages);
+        const messages = this.getRequestMessages();
+        const stream = assistant.listChatCompletions(messages);
         /**
          * When the LLM responds with a function call, the first completion's first choice looks like this:
          * {
@@ -88,12 +89,32 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const name = delta.functionCall.name;
-                this.handleStreamAsFunctionCall(name, stream, assistant);
+            if (delta.toolCalls.length > 0) {
+                this.handleStreamAsToolCalls(delta.toolCalls, stream, assistant);
             }
             else {
-                this.handleStreamAsChatMessage(stream);
+                this.handleStreamAsChatResponseMessage(stream);
+            }
+        });
+    }
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    getRequestMessages() {
+        return this.messages.map((m) => {
+            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {
+                // These are messages from the application (a.k.a request messages)
+                return m;
+            }
+            else {
+                // These are messages from the assistant (a.k.a response messages)
+                const responseMessage = m;
+                return {
+                    role: 'assistant',
+                    content: responseMessage.content,
+                    toolCalls: responseMessage.toolCalls,
+                };
             }
         });
     }
@@ -115,8 +136,8 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    handleStreamAsFunctionCall(name, stream, assistant) {
-        let args = '';
+    handleStreamAsToolCalls(toolCalls, stream, assistant) {
+        const argsList = Array(toolCalls.length).fill('');
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
             if (!choice) {
@@ -126,36 +147,35 @@ class Thread extends EventEmitter {
             if (!delta) {
                 throw new Error('No delta returned');
             }
-            if (delta.functionCall) {
-                const functionCall = delta.functionCall;
-                if (functionCall.arguments) {
-                    args += functionCall.arguments;
-                }
-            }
-            if (choice.finishReason === 'function_call') {
-                const functionCall = {
-                    name,
-                    arguments: args,
-                };
+            delta.toolCalls.forEach((toolCall, index) => {
+                argsList[index] += toolCall.function.arguments;
+            });
+            if (choice.finishReason === 'tool_calls') {
+                const finalToolCalls = toolCalls.map((toolCall, index) => ({
+                    ...toolCall,
+                    function: {
+                        ...toolCall.function,
+                        arguments: argsList[index],
+                    },
+                }));
                 // Adds the assistant's response to the messages
                 const message = {
                     role: 'assistant',
                     content: null,
-                    functionCall,
+                    toolCalls: finalToolCalls,
                 };
-                this.addMessage(message);
-                const requiredAction = new RequiredAction({
-                    name,
-                    arguments: args,
-                });
-                requiredAction.on('submitting', (toolOutput) => {
-                    // Adds the tool output to the messages
-                    const message = {
-                        role: 'function',
-                        name: functionCall.name,
-                        content: JSON.stringify(toolOutput),
-                    };
-                    this.addMessage(message);
+                this.doAddMessage(message);
+                const requiredAction = new RequiredAction(finalToolCalls);
+                requiredAction.on('submitting', (toolOutputs) => {
+                    // Adds the tool outputs to the messages
+                    for (const toolOutput of toolOutputs) {
+                        const message = {
+                            role: 'tool',
+                            content: JSON.stringify(toolOutput.value),
+                            toolCallId: toolOutput.callId,
+                        };
+                        this.doAddMessage(message);
+                    }
                     this.doRun(assistant);
                 });
                 this.emit('requires_action', requiredAction);
@@ -180,7 +200,7 @@ class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    handleStreamAsChatMessage(stream) {
+    handleStreamAsChatResponseMessage(stream) {
         let content = '';
         stream.on('data', (completions) => {
             const choice = completions.choices[0];
@@ -204,26 +224,40 @@ class Thread extends EventEmitter {
                 const message = {
                     role: 'assistant',
                     content,
+                    toolCalls: [],
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
                 this.emit('completed');
                 this._stream?.push(null);
             }
         });
     }
+    doAddMessage(message) {
+        this.messages.push(message);
+        this.emit('message', message);
+        if (isChatRequestMessage(message)) {
+            this.emit('message:request', message);
+        }
+        else {
+            this.emit('message:response', message);
+        }
+    }
 }
 class RequiredAction extends EventEmitter {
-    constructor(functionCall) {
+    constructor(toolCalls) {
         super();
-        this.toolCall = {
-            name: functionCall.name,
-            arguments: JSON.parse(functionCall.arguments),
-        };
+        this.toolCalls = toolCalls;
     }
-    submitToolOutput(toolOutput) {
-        this.emit('submitting', toolOutput);
+    submitToolOutputs(toolOutputs) {
+        this.emit('submitting', toolOutputs);
     }
 }
+function isChatResponseMessage(m) {
+    return 'toolCalls' in m;
+}
+function isChatRequestMessage(m) {
+    return !isChatResponseMessage(m);
+}
 
-export { Assistant, RequiredAction, Thread };
+export { Assistant, RequiredAction, Thread, isChatRequestMessage, isChatResponseMessage };
 //# sourceMappingURL=index.mjs.map
diff --git a/dist/index.mjs.map b/dist/index.mjs.map
index ae0d9ae..44af743 100644
--- a/dist/index.mjs.map
+++ b/dist/index.mjs.map
@@ -1 +1 @@
-{"version":3,"file":"index.mjs","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type { FunctionDefinition, OpenAIClient } from '@azure/openai';\nimport type { GetChatCompletionsOptions } from '@azure/openai/types/src/api/models';\nimport type { ChatMessage } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    functions: FunctionDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly functions: FunctionDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.functions = params.functions;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            functions: this.functions,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type { ChatCompletions, ChatMessage, FunctionCall } from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private _stream: Readable | null = null;\n\n    constructor(private readonly messages: ChatMessage[] = []) {\n        super();\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatMessage): void {\n        this.messages.push(message);\n        this.emit('message', message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const stream = assistant.listChatCompletions(this.messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const name = delta.functionCall.name;\n                this.handleStreamAsFunctionCall(name, stream, assistant);\n            } else {\n                this.handleStreamAsChatMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsFunctionCall(\n        name: string,\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        let args = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.functionCall) {\n                const functionCall = delta.functionCall;\n                if (functionCall.arguments) {\n                    args += functionCall.arguments;\n                }\n            }\n\n            if (choice.finishReason === 'function_call') {\n                const functionCall: FunctionCall = {\n                    name,\n                    arguments: args,\n                };\n\n          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 });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatMessage = {\n                    role: 'assistant',\n                    content,\n                };\n                this.addMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    toolCall: ToolCall;\n\n    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+{"version":3,"file":"index.mjs","sources":["../src/assistant/assistant.ts","../src/thread/thread.ts"],"sourcesContent":["import type {\n    ChatRequestMessage,\n    ChatRequestSystemMessage,\n    GetChatCompletionsOptions,\n    OpenAIClient,\n} from '@azure/openai';\nimport type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';\nimport { Readable } from 'stream';\n\nexport interface AssistantCreateParams {\n    client: OpenAIClient;\n    instructions: string;\n    tools: ChatCompletionsToolDefinition[];\n    deployment: string;\n}\n\nexport class Assistant {\n    public readonly client: OpenAIClient;\n\n    private readonly instructions: string;\n    private readonly tools: ChatCompletionsToolDefinition[];\n    private readonly deployment: string;\n\n    constructor(params: AssistantCreateParams) {\n        this.client = params.client;\n        this.instructions = params.instructions;\n        this.tools = params.tools;\n        this.deployment = params.deployment;\n    }\n\n    listChatCompletions(messages: ChatRequestMessage[]): Readable {\n        // Prepend the messages with our instructions as a \"system\" message\n        const systemMessage: ChatRequestSystemMessage = {\n            role: 'system',\n            content: this.instructions,\n        };\n        messages = [systemMessage, ...messages];\n\n        const options: GetChatCompletionsOptions = {\n            tools: this.tools,\n        };\n\n        const completions = this.client.listChatCompletions(\n            this.deployment,\n            messages,\n            options,\n        );\n\n        return Readable.from(completions, {\n            objectMode: true,\n        });\n    }\n}\n","import type {\n    ChatCompletions,\n    ChatCompletionsToolCall,\n    ChatRequestMessage,\n    ChatRequestToolMessage,\n    ChatResponseMessage,\n} from '@azure/openai';\nimport EventEmitter from 'events';\nimport { Readable } from 'stream';\nimport { Assistant } from '../assistant';\n\nexport class Thread extends EventEmitter {\n    private readonly messages: (ChatRequestMessage | ChatResponseMessage)[] =\n        [];\n    private _stream: Readable | null = null;\n\n    constructor(messages: ChatRequestMessage[] = []) {\n        super();\n        this.messages = messages;\n    }\n\n    get stream(): Readable | null {\n        if (!this._stream) {\n            return null;\n        }\n\n        return this._stream;\n    }\n\n    addMessage(message: ChatRequestMessage): void {\n        this.doAddMessage(message);\n    }\n\n    run(assistant: Assistant): void {\n        this._stream = new Readable({\n            read: () => {},\n        });\n        this.doRun(assistant);\n    }\n\n    private doRun(assistant: Assistant): void {\n        this.emit('in_progress');\n\n        const messages = this.getRequestMessages();\n\n        const stream = assistant.listChatCompletions(messages);\n\n        /**\n         * When the LLM responds with a function call, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *     functionCall: { name: 'get_customer_profile', arguments: undefined }\n         *   },\n         *   contentFilterResults: {}\n         * }\n         *\n         * When the LLM responds with a message, the first completion's first choice looks like this:\n         * {\n         *   index: 0,\n         *   finishReason: null,\n         *   delta: {\n         *     role: 'assistant',\n         *   },\n         *   contentFilterResults: {}\n         *\n         * We're only interested in the first completion and then we let the dedicated handler handle the rest of the stream\n         */\n        stream.once('data', (completion: ChatCompletions) => {\n            const choice = completion.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.toolCalls.length > 0) {\n                this.handleStreamAsToolCalls(\n                    delta.toolCalls,\n                    stream,\n                    assistant,\n                );\n            } else {\n                this.handleStreamAsChatResponseMessage(stream);\n            }\n        });\n    }\n\n    /**\n     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only\n     * so they can be sent again to the LLM.\n     */\n    private getRequestMessages(): ChatRequestMessage[] {\n        return this.messages.map((m) => {\n            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {\n                // These are messages from the application (a.k.a request messages)\n                return m as ChatRequestMessage;\n            } else {\n                // These are messages from the assistant (a.k.a response messages)\n                const responseMessage = m as ChatResponseMessage;\n                return {\n                    role: 'assistant',\n                    content: responseMessage.content,\n                    toolCalls: responseMessage.toolCalls,\n                };\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '{\"' } }, <---- beginning of the arguments as a stringified JSON\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { functionCall: { name: undefined, arguments: '\"}' } } <---- end of the arguments as a stringified JSON\n     * }\n     * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call\n     */\n    private handleStreamAsToolCalls(\n        toolCalls: ChatCompletionsToolCall[],\n        stream: Readable,\n        assistant: Assistant,\n    ): void {\n        const argsList = Array(toolCalls.length).fill('');\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            delta.toolCalls.forEach((toolCall, index) => {\n                argsList[index] += toolCall.function.arguments;\n            });\n\n            if (choice.finishReason === 'tool_calls') {\n                const finalToolCalls: ChatCompletionsToolCall[] = toolCalls.map(\n                    (toolCall, index) => ({\n                        ...toolCall,\n                        function: {\n                            ...toolCall.function,\n                            arguments: argsList[index],\n                        },\n                    }),\n                );\n\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content: null,\n                    toolCalls: finalToolCalls,\n                };\n                this.doAddMessage(message);\n\n                const requiredAction = new RequiredAction(finalToolCalls);\n\n                requiredAction.on('submitting', (toolOutputs: ToolOutput[]) => {\n                    // Adds the tool outputs to the messages\n                    for (const toolOutput of toolOutputs) {\n                        const message: ChatRequestToolMessage = {\n                            role: 'tool',\n                            content: JSON.stringify(toolOutput.value),\n                            toolCallId: toolOutput.callId,\n                        };\n                        this.doAddMessage(message);\n                    }\n\n                    this.doRun(assistant);\n                });\n\n                this.emit('requires_action', requiredAction);\n            }\n        });\n    }\n\n    /**\n     * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.\n     * The stream emits some completions.\n     * The first choice of these completions successively looks like this:\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \"Lorem\" }, <---- beginning of the response\n     *   contentFilterResults: {}\n     * }\n     * ... <---- more completions\n     * {\n     *   index: 0,\n     *   finishReason: null,\n     *   delta: { content: \" ipsum\" } <---- end of the response\n     * }\n     * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message\n     */\n    private handleStreamAsChatResponseMessage(stream: Readable): void {\n        let content = '';\n\n        stream.on('data', (completions: ChatCompletions) => {\n            const choice = completions.choices[0];\n            if (!choice) {\n                throw new Error('No completions returned');\n            }\n            const delta = choice.delta;\n            if (!delta) {\n                throw new Error('No delta returned');\n            }\n\n            if (delta.content) {\n                content += delta.content;\n\n                // Write also to the stream of the thread\n                if (!this._stream) {\n                    throw new Error('No stream available');\n                }\n                this._stream?.push(delta.content);\n            }\n\n            if (choice.finishReason === 'stop') {\n                // Adds the assistant's response to the messages\n                const message: ChatResponseMessage = {\n                    role: 'assistant',\n                    content,\n                    toolCalls: [],\n                };\n                this.doAddMessage(message);\n\n                this.emit('completed');\n                this._stream?.push(null);\n            }\n        });\n    }\n\n    private doAddMessage(\n        message: ChatRequestMessage | ChatResponseMessage,\n    ): void {\n        this.messages.push(message);\n        this.emit('message', message);\n\n        if (isChatRequestMessage(message)) {\n            this.emit('message:request', message);\n        } else {\n            this.emit('message:response', message);\n        }\n    }\n}\n\nexport class RequiredAction extends EventEmitter {\n    constructor(public readonly toolCalls: ChatCompletionsToolCall[]) {\n        super();\n    }\n\n    submitToolOutputs(toolOutputs: ToolOutput[]): void {\n        this.emit('submitting', toolOutputs);\n    }\n}\n\nexport interface ToolCall {\n    name: string;\n    arguments: Record<string, unknown>;\n}\n\nexport interface ToolOutput {\n    callId: string;\n    value: unknown;\n}\n\nexport function isChatResponseMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatResponseMessage {\n    return 'toolCalls' in m;\n}\n\nexport function isChatRequestMessage(\n    m: ChatRequestMessage | ChatResponseMessage,\n): m is ChatRequestMessage {\n    return !isChatResponseMessage(m);\n}\n"],"names":[],"mappings":";;;;;;;;;MAgBa,SAAS,CAAA;AAOlB,IAAA,WAAA,CAAY,MAA6B,EAAA;AACrC,QAAA,IAAI,CAAC,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AAC5B,QAAA,IAAI,CAAC,YAAY,GAAG,MAAM,CAAC,YAAY,CAAC;AACxC,QAAA,IAAI,CAAC,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;AAC1B,QAAA,IAAI,CAAC,UAAU,GAAG,MAAM,CAAC,UAAU,CAAC;KACvC;AAED,IAAA,mBAAmB,CAAC,QAA8B,EAAA;;AAE9C,QAAA,MAAM,aAAa,GAA6B;AAC5C,YAAA,IAAI,EAAE,QAAQ;YACd,OAAO,EAAE,IAAI,CAAC,YAAY;SAC7B,CAAC;AACF,QAAA,QAAQ,GAAG,CAAC,aAAa,EAAE,GAAG,QAAQ,CAAC,CAAC;AAExC,QAAA,MAAM,OAAO,GAA8B;YACvC,KAAK,EAAE,IAAI,CAAC,KAAK;SACpB,CAAC;AAEF,QAAA,MAAM,WAAW,GAAG,IAAI,CAAC,MAAM,CAAC,mBAAmB,CAC/C,IAAI,CAAC,UAAU,EACf,QAAQ,EACR,OAAO,CACV,CAAC;AAEF,QAAA,OAAO,QAAQ,CAAC,IAAI,CAAC,WAAW,EAAE;AAC9B,YAAA,UAAU,EAAE,IAAI;AACnB,SAAA,CAAC,CAAC;KACN;AACJ;;ACzCK,MAAO,MAAO,SAAQ,YAAY,CAAA;AAKpC,IAAA,WAAA,CAAY,WAAiC,EAAE,EAAA;AAC3C,QAAA,KAAK,EAAE,CAAC;QALK,IAAQ,CAAA,QAAA,GACrB,EAAE,CAAC;QACC,IAAO,CAAA,OAAA,GAAoB,IAAI,CAAC;AAIpC,QAAA,IAAI,CAAC,QAAQ,GAAG,QAAQ,CAAC;KAC5B;AAED,IAAA,IAAI,MAAM,GAAA;AACN,QAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,YAAA,OAAO,IAAI,CAAC;AACf,SAAA;QAED,OAAO,IAAI,CAAC,OAAO,CAAC;KACvB;AAED,IAAA,UAAU,CAAC,OAA2B,EAAA;AAClC,QAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;KAC9B;AAED,IAAA,GAAG,CAAC,SAAoB,EAAA;AACpB,QAAA,IAAI,CAAC,OAAO,GAAG,IAAI,QAAQ,CAAC;AACxB,YAAA,IAAI,EAAE,MAAK,GAAG;AACjB,SAAA,CAAC,CAAC;AACH,QAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;KACzB;AAEO,IAAA,KAAK,CAAC,SAAoB,EAAA;AAC9B,QAAA,IAAI,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC;AAEzB,QAAA,MAAM,QAAQ,GAAG,IAAI,CAAC,kBAAkB,EAAE,CAAC;QAE3C,MAAM,MAAM,GAAG,SAAS,CAAC,mBAAmB,CAAC,QAAQ,CAAC,CAAC;AAEvD;;;;;;;;;;;;;;;;;;;;;;AAsBG;QACH,MAAM,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,UAA2B,KAAI;YAChD,MAAM,MAAM,GAAG,UAAU,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACrC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AAED,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;AAED,YAAA,IAAI,KAAK,CAAC,SAAS,CAAC,MAAM,GAAG,CAAC,EAAE;gBAC5B,IAAI,CAAC,uBAAuB,CACxB,KAAK,CAAC,SAAS,EACf,MAAM,EACN,SAAS,CACZ,CAAC;AACL,aAAA;AAAM,iBAAA;AACH,gBAAA,IAAI,CAAC,iCAAiC,CAAC,MAAM,CAAC,CAAC;AAClD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;AAGG;IACK,kBAAkB,GAAA;QACtB,OAAO,IAAI,CAAC,QAAQ,CAAC,GAAG,CAAC,CAAC,CAAC,KAAI;AAC3B,YAAA,IAAI,CAAC,CAAC,IAAI,KAAK,QAAQ,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,IAAI,CAAC,CAAC,IAAI,KAAK,MAAM,EAAE;;AAE/D,gBAAA,OAAO,CAAuB,CAAC;AAClC,aAAA;AAAM,iBAAA;;gBAEH,MAAM,eAAe,GAAG,CAAwB,CAAC;gBACjD,OAAO;AACH,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO,EAAE,eAAe,CAAC,OAAO;oBAChC,SAAS,EAAE,eAAe,CAAC,SAAS;iBACvC,CAAC;AACL,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,uBAAuB,CAC3B,SAAoC,EACpC,MAAgB,EAChB,SAAoB,EAAA;AAEpB,QAAA,MAAM,QAAQ,GAAG,KAAK,CAAC,SAAS,CAAC,MAAM,CAAC,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QAElD,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,KAAK,CAAC,SAAS,CAAC,OAAO,CAAC,CAAC,QAAQ,EAAE,KAAK,KAAI;gBACxC,QAAQ,CAAC,KAAK,CAAC,IAAI,QAAQ,CAAC,QAAQ,CAAC,SAAS,CAAC;AACnD,aAAC,CAAC,CAAC;AAEH,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,YAAY,EAAE;AACtC,gBAAA,MAAM,cAAc,GAA8B,SAAS,CAAC,GAAG,CAC3D,CAAC,QAAQ,EAAE,KAAK,MAAM;AAClB,oBAAA,GAAG,QAAQ;AACX,oBAAA,QAAQ,EAAE;wBACN,GAAG,QAAQ,CAAC,QAAQ;AACpB,wBAAA,SAAS,EAAE,QAAQ,CAAC,KAAK,CAAC;AAC7B,qBAAA;AACJ,iBAAA,CAAC,CACL,CAAC;;AAGF,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;AACjB,oBAAA,OAAO,EAAE,IAAI;AACb,oBAAA,SAAS,EAAE,cAAc;iBAC5B,CAAC;AACF,gBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAE3B,gBAAA,MAAM,cAAc,GAAG,IAAI,cAAc,CAAC,cAAc,CAAC,CAAC;gBAE1D,cAAc,CAAC,EAAE,CAAC,YAAY,EAAE,CAAC,WAAyB,KAAI;;AAE1D,oBAAA,KAAK,MAAM,UAAU,IAAI,WAAW,EAAE;AAClC,wBAAA,MAAM,OAAO,GAA2B;AACpC,4BAAA,IAAI,EAAE,MAAM;4BACZ,OAAO,EAAE,IAAI,CAAC,SAAS,CAAC,UAAU,CAAC,KAAK,CAAC;4BACzC,UAAU,EAAE,UAAU,CAAC,MAAM;yBAChC,CAAC;AACF,wBAAA,IAAI,CAAC,YAAY,CAAC,OAAO,CAAC,CAAC;AAC9B,qBAAA;AAED,oBAAA,IAAI,CAAC,KAAK,CAAC,SAAS,CAAC,CAAC;AAC1B,iBAAC,CAAC,CAAC;AAEH,gBAAA,IAAI,CAAC,IAAI,CAAC,iBAAiB,EAAE,cAAc,CAAC,CAAC;AAChD,aAAA;AACL,SAAC,CAAC,CAAC;KACN;AAED;;;;;;;;;;;;;;;;;AAiBG;AACK,IAAA,iCAAiC,CAAC,MAAgB,EAAA;QACtD,IAAI,OAAO,GAAG,EAAE,CAAC;QAEjB,MAAM,CAAC,EAAE,CAAC,MAAM,EAAE,CAAC,WAA4B,KAAI;YAC/C,MAAM,MAAM,GAAG,WAAW,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC;YACtC,IAAI,CAAC,MAAM,EAAE;AACT,gBAAA,MAAM,IAAI,KAAK,CAAC,yBAAyB,CAAC,CAAC;AAC9C,aAAA;AACD,YAAA,MAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC;YAC3B,IAAI,CAAC,KAAK,EAAE;AACR,gBAAA,MAAM,IAAI,KAAK,CAAC,mBAAmB,CAAC,CAAC;AACxC,aAAA;YAED,IAAI,KAAK,CAAC,OAAO,EAAE;AACf,gBAAA,OAAO,IAAI,KAAK,CAAC,OAAO,CAAC;;AAGzB,gBAAA,IAAI,CAAC,IAAI,CAAC,OAAO,EAAE;AACf,oBAAA,MAAM,IAAI,KAAK,CAAC,qBAAqB,CAAC,CAAC;AAC1C,iBAAA;gBACD,IAAI,CAAC,OAAO,EAAE,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACrC,aAAA;AAED,YAAA,IAAI,MAAM,CAAC,YAAY,KAAK,MAAM,EAAE;;AAEhC,gBAAA,MAAM,OAAO,GAAwB;AACjC,oBAAA,IAAI,EAAE,WAAW;oBACjB,OAAO;AACP,oBAAA,SAAS,EAAE,EAAE;iBAChB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\ No newline at end of file
diff --git a/dist/index.umd.js b/dist/index.umd.js
deleted file mode 100644
index 607f0b6..0000000
--- a/dist/index.umd.js
+++ /dev/null
@@ -1,36 +0,0 @@
-/*!
- * llobotomy-azure v0.0.0
- * (c) Matthieu Balmes
- * Released under the MIT License.
- */
-
-(function (global, factory) {
-  typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
-  typeof define === 'function' && define.amd ? define(['exports'], factory) :
-  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, factory(global["llobotomy-azure"] = {}));
-})(this, (function (exports) { 'use strict';
-
-  /**
-   * Check if value is parseable to number.
-   * @example
-   * ```js
-   * isNumberParseable('AAAA');
-   * //=> false
-   *
-   * isNumberParseable('100');
-   * //=> true
-   *
-   * if (!isNumberParseable(value))
-   *   throw new Error('Value can\'t be parseable to `Number`.')
-   * return Number(value);
-   * ```
-   * @param value - An `unknown` value to be checked.
-   */
-  var isNumberParseable = function (value) {
-      return !Number.isNaN(Number(value));
-  };
-
-  exports.isNumberParseable = isNumberParseable;
-
-}));
-//# sourceMappingURL=index.umd.js.map
diff --git a/dist/index.umd.js.map b/dist/index.umd.js.map
deleted file mode 100644
index 3bad2fe..0000000
--- a/dist/index.umd.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.umd.js","sources":["../src/index.ts"],"sourcesContent":["/**\n * A Branded Type for values parseable to number.\n */\nexport type NumberParseable = (number | string | boolean) & {\n  readonly isNumberParseble: unique symbol;\n};\n\n/**\n * Check if value is parseable to number.\n * @example\n * ```js\n * isNumberParseable('AAAA');\n * //=> false\n *\n * isNumberParseable('100');\n * //=> true\n *\n * if (!isNumberParseable(value))\n *   throw new Error('Value can\\'t be parseable to `Number`.')\n * return Number(value);\n * ```\n * @param value - An `unknown` value to be checked.\n */\nexport const isNumberParseable = (value: unknown): value is NumberParseable =>\n  !Number.isNaN(Number(value));\n"],"names":[],"mappings":";;;;;;;;;;;;EAOA;;;;;;;;;;;;;;;EAeG;AACI,MAAM,iBAAiB,GAAG,UAAC,KAAc,EAAA;MAC9C,OAAA,CAAC,MAAM,CAAC,KAAK,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,CAAA;EAA5B;;;;;;;;"}
\ No newline at end of file
diff --git a/dist/index.umd.min.js b/dist/index.umd.min.js
deleted file mode 100644
index 7af2c1d..0000000
--- a/dist/index.umd.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
-/*!
- * llobotomy-azure v0.0.0
- * (c) Matthieu Balmes
- * Released under the MIT License.
- */
-!function(e,i){"object"==typeof exports&&"undefined"!=typeof module?i(exports):"function"==typeof define&&define.amd?define(["exports"],i):i((e="undefined"!=typeof globalThis?globalThis:e||self)["llobotomy-azure"]={})}(this,(function(e){"use strict";e.isNumberParseable=function(e){return!Number.isNaN(Number(e))}}));
-//# sourceMappingURL=index.umd.min.js.map
diff --git a/dist/index.umd.min.js.map b/dist/index.umd.min.js.map
deleted file mode 100644
index e15182a..0000000
--- a/dist/index.umd.min.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.umd.min.js","sources":["../src/index.ts"],"sourcesContent":["/**\n * A Branded Type for values parseable to number.\n */\nexport type NumberParseable = (number | string | boolean) & {\n  readonly isNumberParseble: unique symbol;\n};\n\n/**\n * Check if value is parseable to number.\n * @example\n * ```js\n * isNumberParseable('AAAA');\n * //=> false\n *\n * isNumberParseable('100');\n * //=> true\n *\n * if (!isNumberParseable(value))\n *   throw new Error('Value can\\'t be parseable to `Number`.')\n * return Number(value);\n * ```\n * @param value - An `unknown` value to be checked.\n */\nexport const isNumberParseable = (value: unknown): value is NumberParseable =>\n  !Number.isNaN(Number(value));\n"],"names":["value","Number","isNaN"],"mappings":";;;;;qRAuBiC,SAACA,GAChC,OAACC,OAAOC,MAAMD,OAAOD,GAArB"}
\ No newline at end of file
diff --git a/docs/README.md b/docs/README.md
index d8b6314..780d80f 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -15,3 +15,48 @@ LLobotoMy for Azure
 - [AssistantCreateParams](interfaces/AssistantCreateParams.md)
 - [ToolCall](interfaces/ToolCall.md)
 - [ToolOutput](interfaces/ToolOutput.md)
+
+### Functions
+
+- [isChatRequestMessage](README.md#ischatrequestmessage)
+- [isChatResponseMessage](README.md#ischatresponsemessage)
+
+## Functions
+
+### isChatRequestMessage
+
+▸ **isChatRequestMessage**(`m`): m is ChatRequestMessage
+
+#### Parameters
+
+| Name | Type |
+| :------ | :------ |
+| `m` | `ChatRequestMessage` \| `ChatResponseMessage` |
+
+#### Returns
+
+m is ChatRequestMessage
+
+#### Defined in
+
+[src/thread/thread.ts:290](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L290)
+
+___
+
+### isChatResponseMessage
+
+▸ **isChatResponseMessage**(`m`): m is ChatResponseMessage
+
+#### Parameters
+
+| Name | Type |
+| :------ | :------ |
+| `m` | `ChatRequestMessage` \| `ChatResponseMessage` |
+
+#### Returns
+
+m is ChatResponseMessage
+
+#### Defined in
+
+[src/thread/thread.ts:284](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L284)
diff --git a/docs/classes/Assistant.md b/docs/classes/Assistant.md
index 160f7ed..1b3d40f 100644
--- a/docs/classes/Assistant.md
+++ b/docs/classes/Assistant.md
@@ -12,8 +12,8 @@
 
 - [client](Assistant.md#client)
 - [deployment](Assistant.md#deployment)
-- [functions](Assistant.md#functions)
 - [instructions](Assistant.md#instructions)
+- [tools](Assistant.md#tools)
 
 ### Methods
 
@@ -33,7 +33,7 @@
 
 #### Defined in
 
-[src/assistant/assistant.ts:20](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L20)
+[src/assistant/assistant.ts:24](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L24)
 
 ## Properties
 
@@ -43,7 +43,7 @@
 
 #### Defined in
 
-[src/assistant/assistant.ts:14](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L14)
+[src/assistant/assistant.ts:18](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L18)
 
 ___
 
@@ -53,27 +53,27 @@ ___
 
 #### Defined in
 
-[src/assistant/assistant.ts:18](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L18)
+[src/assistant/assistant.ts:22](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L22)
 
 ___
 
-### functions
+### instructions
 
-• `Private` `Readonly` **functions**: `FunctionDefinition`[]
+• `Private` `Readonly` **instructions**: `string`
 
 #### Defined in
 
-[src/assistant/assistant.ts:17](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L17)
+[src/assistant/assistant.ts:20](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L20)
 
 ___
 
-### instructions
+### tools
 
-• `Private` `Readonly` **instructions**: `string`
+• `Private` `Readonly` **tools**: `ChatCompletionsFunctionToolDefinition`[]
 
 #### Defined in
 
-[src/assistant/assistant.ts:16](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L16)
+[src/assistant/assistant.ts:21](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L21)
 
 ## Methods
 
@@ -85,7 +85,7 @@ ___
 
 | Name | Type |
 | :------ | :------ |
-| `messages` | `ChatMessage`[] |
+| `messages` | `ChatRequestMessage`[] |
 
 #### Returns
 
@@ -93,4 +93,4 @@ ___
 
 #### Defined in
 
-[src/assistant/assistant.ts:27](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L27)
+[src/assistant/assistant.ts:31](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L31)
diff --git a/docs/classes/RequiredAction.md b/docs/classes/RequiredAction.md
index cbb14ee..52b4be8 100644
--- a/docs/classes/RequiredAction.md
+++ b/docs/classes/RequiredAction.md
@@ -16,7 +16,7 @@
 
 ### Properties
 
-- [toolCall](RequiredAction.md#toolcall)
+- [toolCalls](RequiredAction.md#toolcalls)
 - [captureRejectionSymbol](RequiredAction.md#capturerejectionsymbol)
 - [captureRejections](RequiredAction.md#capturerejections)
 - [defaultMaxListeners](RequiredAction.md#defaultmaxlisteners)
@@ -40,7 +40,7 @@
 - [removeAllListeners](RequiredAction.md#removealllisteners)
 - [removeListener](RequiredAction.md#removelistener)
 - [setMaxListeners](RequiredAction.md#setmaxlisteners)
-- [submitToolOutput](RequiredAction.md#submittooloutput)
+- [submitToolOutputs](RequiredAction.md#submittooloutputs)
 - [addAbortListener](RequiredAction.md#addabortlistener)
 - [getEventListeners](RequiredAction.md#geteventlisteners)
 - [getMaxListeners](RequiredAction.md#getmaxlisteners-1)
@@ -53,13 +53,13 @@
 
 ### constructor
 
-• **new RequiredAction**(`functionCall`)
+• **new RequiredAction**(`toolCalls`)
 
 #### Parameters
 
 | Name | Type |
 | :------ | :------ |
-| `functionCall` | `FunctionCall` |
+| `toolCalls` | `ChatCompletionsFunctionToolCall`[] |
 
 #### Overrides
 
@@ -67,17 +67,17 @@ EventEmitter.constructor
 
 #### Defined in
 
-[src/thread/thread.ts:218](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L218)
+[src/thread/thread.ts:265](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L265)
 
 ## Properties
 
-### toolCall
+### toolCalls
 
-• **toolCall**: [`ToolCall`](../interfaces/ToolCall.md)
+• `Readonly` **toolCalls**: `ChatCompletionsFunctionToolCall`[]
 
 #### Defined in
 
-[src/thread/thread.ts:216](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L216)
+[src/thread/thread.ts:265](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L265)
 
 ___
 
@@ -918,15 +918,15 @@ node_modules/@types/node/events.d.ts:716
 
 ___
 
-### submitToolOutput
+### submitToolOutputs
 
-▸ **submitToolOutput**(`toolOutput`): `void`
+▸ **submitToolOutputs**(`toolOutputs`): `void`
 
 #### Parameters
 
 | Name | Type |
 | :------ | :------ |
-| `toolOutput` | [`ToolOutput`](../interfaces/ToolOutput.md) |
+| `toolOutputs` | [`ToolOutput`](../interfaces/ToolOutput.md)[] |
 
 #### Returns
 
@@ -934,7 +934,7 @@ ___
 
 #### Defined in
 
-[src/thread/thread.ts:227](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L227)
+[src/thread/thread.ts:269](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L269)
 
 ___
 
diff --git a/docs/classes/Thread.md b/docs/classes/Thread.md
index c9caaa4..a222d43 100644
--- a/docs/classes/Thread.md
+++ b/docs/classes/Thread.md
@@ -32,12 +32,14 @@
 - [[captureRejectionSymbol]](Thread.md#[capturerejectionsymbol])
 - [addListener](Thread.md#addlistener)
 - [addMessage](Thread.md#addmessage)
+- [doAddMessage](Thread.md#doaddmessage)
 - [doRun](Thread.md#dorun)
 - [emit](Thread.md#emit)
 - [eventNames](Thread.md#eventnames)
 - [getMaxListeners](Thread.md#getmaxlisteners)
-- [handleStreamAsChatMessage](Thread.md#handlestreamaschatmessage)
-- [handleStreamAsFunctionCall](Thread.md#handlestreamasfunctioncall)
+- [getRequestMessages](Thread.md#getrequestmessages)
+- [handleStreamAsChatResponseMessage](Thread.md#handlestreamaschatresponsemessage)
+- [handleStreamAsToolCalls](Thread.md#handlestreamastoolcalls)
 - [listenerCount](Thread.md#listenercount)
 - [listeners](Thread.md#listeners)
 - [off](Thread.md#off)
@@ -68,7 +70,7 @@
 
 | Name | Type | Default value |
 | :------ | :------ | :------ |
-| `messages` | `ChatMessage`[] | `[]` |
+| `messages` | `ChatRequestMessage`[] | `[]` |
 
 #### Overrides
 
@@ -76,7 +78,7 @@ EventEmitter.constructor
 
 #### Defined in
 
-[src/thread/thread.ts:9](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L9)
+[src/thread/thread.ts:17](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L17)
 
 ## Properties
 
@@ -86,17 +88,17 @@ EventEmitter.constructor
 
 #### Defined in
 
-[src/thread/thread.ts:7](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L7)
+[src/thread/thread.ts:15](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L15)
 
 ___
 
 ### messages
 
-• `Private` `Readonly` **messages**: `ChatMessage`[] = `[]`
+• `Private` `Readonly` **messages**: (`ChatRequestMessage` \| `ChatResponseMessage`)[] = `[]`
 
 #### Defined in
 
-[src/thread/thread.ts:9](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L9)
+[src/thread/thread.ts:13](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L13)
 
 ___
 
@@ -229,7 +231,7 @@ node_modules/@types/node/events.d.ts:395
 
 #### Defined in
 
-[src/thread/thread.ts:13](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L13)
+[src/thread/thread.ts:22](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L22)
 
 ## Methods
 
@@ -298,7 +300,7 @@ ___
 
 | Name | Type |
 | :------ | :------ |
-| `message` | `ChatMessage` |
+| `message` | `ChatRequestMessage` |
 
 #### Returns
 
@@ -306,7 +308,27 @@ ___
 
 #### Defined in
 
-[src/thread/thread.ts:21](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L21)
+[src/thread/thread.ts:30](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L30)
+
+___
+
+### doAddMessage
+
+▸ `Private` **doAddMessage**(`message`): `void`
+
+#### Parameters
+
+| Name | Type |
+| :------ | :------ |
+| `message` | `ChatRequestMessage` \| `ChatResponseMessage` |
+
+#### Returns
+
+`void`
+
+#### Defined in
+
+[src/thread/thread.ts:250](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L250)
 
 ___
 
@@ -326,7 +348,7 @@ ___
 
 #### Defined in
 
-[src/thread/thread.ts:33](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L33)
+[src/thread/thread.ts:41](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L41)
 
 ___
 
@@ -461,9 +483,26 @@ node_modules/@types/node/events.d.ts:722
 
 ___
 
-### handleStreamAsChatMessage
+### getRequestMessages
+
+▸ `Private` **getRequestMessages**(): `ChatRequestMessage`[]
+
+Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+so they can be sent again to the LLM.
+
+#### Returns
+
+`ChatRequestMessage`[]
+
+#### Defined in
+
+[src/thread/thread.ts:98](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L98)
+
+___
+
+### handleStreamAsChatResponseMessage
 
-▸ `Private` **handleStreamAsChatMessage**(`stream`): `void`
+▸ `Private` **handleStreamAsChatResponseMessage**(`stream`): `void`
 
 Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.
 The stream emits some completions.
@@ -494,13 +533,13 @@ The first choice of these completions successively looks like this:
 
 #### Defined in
 
-[src/thread/thread.ts:177](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L177)
+[src/thread/thread.ts:212](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L212)
 
 ___
 
-### handleStreamAsFunctionCall
+### handleStreamAsToolCalls
 
-▸ `Private` **handleStreamAsFunctionCall**(`name`, `stream`, `assistant`): `void`
+▸ `Private` **handleStreamAsToolCalls**(`toolCalls`, `stream`, `assistant`): `void`
 
 Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.
 The stream emits some completions.
@@ -523,7 +562,7 @@ The first choice of these completions successively looks like this:
 
 | Name | Type |
 | :------ | :------ |
-| `name` | `string` |
+| `toolCalls` | `ChatCompletionsFunctionToolCall`[] |
 | `stream` | `Readable` |
 | `assistant` | [`Assistant`](Assistant.md) |
 
@@ -533,7 +572,7 @@ The first choice of these completions successively looks like this:
 
 #### Defined in
 
-[src/thread/thread.ts:99](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L99)
+[src/thread/thread.ts:133](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L133)
 
 ___
 
@@ -1048,7 +1087,7 @@ ___
 
 #### Defined in
 
-[src/thread/thread.ts:26](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L26)
+[src/thread/thread.ts:34](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L34)
 
 ___
 
diff --git a/docs/interfaces/AssistantCreateParams.md b/docs/interfaces/AssistantCreateParams.md
index 5437af5..7893220 100644
--- a/docs/interfaces/AssistantCreateParams.md
+++ b/docs/interfaces/AssistantCreateParams.md
@@ -8,8 +8,8 @@
 
 - [client](AssistantCreateParams.md#client)
 - [deployment](AssistantCreateParams.md#deployment)
-- [functions](AssistantCreateParams.md#functions)
 - [instructions](AssistantCreateParams.md#instructions)
+- [tools](AssistantCreateParams.md#tools)
 
 ## Properties
 
@@ -19,7 +19,7 @@
 
 #### Defined in
 
-[src/assistant/assistant.ts:7](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L7)
+[src/assistant/assistant.ts:11](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L11)
 
 ___
 
@@ -29,24 +29,24 @@ ___
 
 #### Defined in
 
-[src/assistant/assistant.ts:10](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L10)
+[src/assistant/assistant.ts:14](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L14)
 
 ___
 
-### functions
+### instructions
 
-• **functions**: `FunctionDefinition`[]
+• **instructions**: `string`
 
 #### Defined in
 
-[src/assistant/assistant.ts:9](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L9)
+[src/assistant/assistant.ts:12](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L12)
 
 ___
 
-### instructions
+### tools
 
-• **instructions**: `string`
+• **tools**: `ChatCompletionsFunctionToolDefinition`[]
 
 #### Defined in
 
-[src/assistant/assistant.ts:8](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/assistant/assistant.ts#L8)
+[src/assistant/assistant.ts:13](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/assistant/assistant.ts#L13)
diff --git a/docs/interfaces/ToolCall.md b/docs/interfaces/ToolCall.md
index 8e7ee5d..827be13 100644
--- a/docs/interfaces/ToolCall.md
+++ b/docs/interfaces/ToolCall.md
@@ -17,7 +17,7 @@
 
 #### Defined in
 
-[src/thread/thread.ts:234](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L234)
+[src/thread/thread.ts:276](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L276)
 
 ___
 
@@ -27,4 +27,4 @@ ___
 
 #### Defined in
 
-[src/thread/thread.ts:233](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L233)
+[src/thread/thread.ts:275](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L275)
diff --git a/docs/interfaces/ToolOutput.md b/docs/interfaces/ToolOutput.md
index 3009ea3..4d55d0a 100644
--- a/docs/interfaces/ToolOutput.md
+++ b/docs/interfaces/ToolOutput.md
@@ -6,14 +6,25 @@
 
 ### Properties
 
+- [callId](ToolOutput.md#callid)
 - [value](ToolOutput.md#value)
 
 ## Properties
 
+### callId
+
+• **callId**: `string`
+
+#### Defined in
+
+[src/thread/thread.ts:280](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L280)
+
+___
+
 ### value
 
 • **value**: `unknown`
 
 #### Defined in
 
-[src/thread/thread.ts:238](https://github.com/paztek/llobotomy-azure/blob/6b547f5/src/thread/thread.ts#L238)
+[src/thread/thread.ts:281](https://github.com/paztek/llobotomy-azure/blob/3780e4f/src/thread/thread.ts#L281)
diff --git a/examples/.gitkeep b/examples/.gitkeep
new file mode 100644
index 0000000..e69de29
diff --git a/package-lock.json b/package-lock.json
index b6e9603..714510e 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,15 +1,15 @@
 {
     "name": "llobotomy-azure",
-    "version": "0.0.0",
+    "version": "0.0.2",
     "lockfileVersion": 3,
     "requires": true,
     "packages": {
         "": {
             "name": "llobotomy-azure",
-            "version": "0.0.0",
+            "version": "0.0.2",
             "license": "MIT",
             "dependencies": {
-                "@azure/openai": "^1.0.0-beta.7"
+                "@azure/openai": "^1.0.0-beta.8"
             },
             "devDependencies": {
                 "@rollup/plugin-commonjs": "^25.0.7",
@@ -100,37 +100,22 @@
                 "node": ">=14.0.0"
             }
         },
-        "node_modules/@azure/core-lro": {
-            "version": "2.5.4",
-            "resolved": "https://registry.npmjs.org/@azure/core-lro/-/core-lro-2.5.4.tgz",
-            "integrity": "sha512-3GJiMVH7/10bulzOKGrrLeG/uCBH/9VtxqaMcB9lIqAeamI/xYQSHJL/KcsLDuH+yTjYpro/u6D/MuRe4dN70Q==",
-            "dependencies": {
-                "@azure/abort-controller": "^1.0.0",
-                "@azure/core-util": "^1.2.0",
-                "@azure/logger": "^1.0.0",
-                "tslib": "^2.2.0"
-            },
-            "engines": {
-                "node": ">=14.0.0"
-            }
-        },
         "node_modules/@azure/core-rest-pipeline": {
-            "version": "1.12.2",
-            "resolved": "https://registry.npmjs.org/@azure/core-rest-pipeline/-/core-rest-pipeline-1.12.2.tgz",
-            "integrity": "sha512-wLLJQdL4v1yoqYtEtjKNjf8pJ/G/BqVomAWxcKOR1KbZJyCEnCv04yks7Y1NhJ3JzxbDs307W67uX0JzklFdCg==",
+            "version": "1.13.0",
+            "resolved": "https://registry.npmjs.org/@azure/core-rest-pipeline/-/core-rest-pipeline-1.13.0.tgz",
+            "integrity": "sha512-a62aP/wppgmnfIkJLfcB4ssPBcH94WzrzPVJ3tlJt050zX4lfmtnvy95D3igDo3f31StO+9BgPrzvkj4aOxnoA==",
             "dependencies": {
-                "@azure/abort-controller": "^1.0.0",
+                "@azure/abort-controller": "^1.1.0",
                 "@azure/core-auth": "^1.4.0",
                 "@azure/core-tracing": "^1.0.1",
                 "@azure/core-util": "^1.3.0",
                 "@azure/logger": "^1.0.0",
-                "form-data": "^4.0.0",
                 "http-proxy-agent": "^5.0.0",
                 "https-proxy-agent": "^5.0.0",
                 "tslib": "^2.2.0"
             },
             "engines": {
-                "node": ">=16.0.0"
+                "node": ">=18.0.0"
             }
         },
         "node_modules/@azure/core-sse": {
@@ -179,18 +164,16 @@
             }
         },
         "node_modules/@azure/openai": {
-            "version": "1.0.0-beta.7",
-            "resolved": "https://registry.npmjs.org/@azure/openai/-/openai-1.0.0-beta.7.tgz",
-            "integrity": "sha512-LhZXgEGOoDBYyLDnSe5XwkLM5OUC8RppVW1X6+IrmmGnonsaa0POQ2BYr45YAqlpggtATYRVUbmyLi5SxMzhLg==",
+            "version": "1.0.0-beta.8",
+            "resolved": "https://registry.npmjs.org/@azure/openai/-/openai-1.0.0-beta.8.tgz",
+            "integrity": "sha512-IUwRhV1qrMJR5J98HwIZuzACMFwgkQoAHY8q9z9aO30ClZ+nU2LgWCXYfrSaI/WA4UpHbET8G+TI/191LaPl6w==",
             "dependencies": {
                 "@azure-rest/core-client": "^1.1.4",
                 "@azure/core-auth": "^1.4.0",
-                "@azure/core-lro": "^2.5.3",
-                "@azure/core-rest-pipeline": "^1.12.2",
+                "@azure/core-rest-pipeline": "^1.13.0",
                 "@azure/core-sse": "^1.0.0",
+                "@azure/core-util": "^1.4.0",
                 "@azure/logger": "^1.0.3",
-                "form-data-encoder": "^3.0.0",
-                "formdata-node": "^5.0.0",
                 "tslib": "^2.4.0"
             },
             "engines": {
@@ -2120,11 +2103,6 @@
                 "node": ">=8"
             }
         },
-        "node_modules/asynckit": {
-            "version": "0.4.0",
-            "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
-            "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
-        },
         "node_modules/babel-jest": {
             "version": "29.7.0",
             "resolved": "https://registry.npmjs.org/babel-jest/-/babel-jest-29.7.0.tgz",
@@ -2517,17 +2495,6 @@
             "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
             "dev": true
         },
-        "node_modules/combined-stream": {
-            "version": "1.0.8",
-            "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
-            "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
-            "dependencies": {
-                "delayed-stream": "~1.0.0"
-            },
-            "engines": {
-                "node": ">= 0.8"
-            }
-        },
         "node_modules/commondir": {
             "version": "1.0.1",
             "resolved": "https://registry.npmjs.org/commondir/-/commondir-1.0.1.tgz",
@@ -2788,14 +2755,6 @@
                 "url": "https://github.com/sponsors/sindresorhus"
             }
         },
-        "node_modules/delayed-stream": {
-            "version": "1.0.0",
-            "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
-            "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
-            "engines": {
-                "node": ">=0.4.0"
-            }
-        },
         "node_modules/detect-newline": {
             "version": "3.1.0",
             "resolved": "https://registry.npmjs.org/detect-newline/-/detect-newline-3.1.0.tgz",
@@ -3317,39 +3276,6 @@
             "integrity": "sha512-5nqDSxl8nn5BSNxyR3n4I6eDmbolI6WT+QqR547RwxQapgjQBmtktdP+HTBb/a/zLsbzERTONyUB5pefh5TtjQ==",
             "dev": true
         },
-        "node_modules/form-data": {
-            "version": "4.0.0",
-            "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
-            "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
-            "dependencies": {
-                "asynckit": "^0.4.0",
-                "combined-stream": "^1.0.8",
-                "mime-types": "^2.1.12"
-            },
-            "engines": {
-                "node": ">= 6"
-            }
-        },
-        "node_modules/form-data-encoder": {
-            "version": "3.0.1",
-            "resolved": "https://registry.npmjs.org/form-data-encoder/-/form-data-encoder-3.0.1.tgz",
-            "integrity": "sha512-f8HPYqVUtZcpe+eg0xxDXryMxfFMZdNQZVXs3KOY3nSeLUDQBaz3w3UUVXJSgR266pgW4ruwnvV5JR+cJJD6dw==",
-            "engines": {
-                "node": ">= 16.5"
-            }
-        },
-        "node_modules/formdata-node": {
-            "version": "5.0.1",
-            "resolved": "https://registry.npmjs.org/formdata-node/-/formdata-node-5.0.1.tgz",
-            "integrity": "sha512-8xnIjMYGKPj+rY2BTbAmpqVpi8der/2FT4d9f7J32FlsCpO5EzZPq3C/N56zdv8KweHzVF6TGijsS1JT6r1H2g==",
-            "dependencies": {
-                "node-domexception": "1.0.0",
-                "web-streams-polyfill": "4.0.0-beta.3"
-            },
-            "engines": {
-                "node": ">= 14.17"
-            }
-        },
         "node_modules/fs-extra": {
             "version": "10.1.0",
             "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-10.1.0.tgz",
@@ -4754,25 +4680,6 @@
                 "node": ">=8.6"
             }
         },
-        "node_modules/mime-db": {
-            "version": "1.52.0",
-            "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
-            "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
-            "engines": {
-                "node": ">= 0.6"
-            }
-        },
-        "node_modules/mime-types": {
-            "version": "2.1.35",
-            "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
-            "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
-            "dependencies": {
-                "mime-db": "1.52.0"
-            },
-            "engines": {
-                "node": ">= 0.6"
-            }
-        },
         "node_modules/mimic-fn": {
             "version": "2.1.0",
             "resolved": "https://registry.npmjs.org/mimic-fn/-/mimic-fn-2.1.0.tgz",
@@ -4832,24 +4739,6 @@
             "integrity": "sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw==",
             "dev": true
         },
-        "node_modules/node-domexception": {
-            "version": "1.0.0",
-            "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
-            "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
-            "funding": [
-                {
-                    "type": "github",
-                    "url": "https://github.com/sponsors/jimmywarting"
-                },
-                {
-                    "type": "github",
-                    "url": "https://paypal.me/jimmywarting"
-                }
-            ],
-            "engines": {
-                "node": ">=10.5.0"
-            }
-        },
         "node_modules/node-int64": {
             "version": "0.4.0",
             "resolved": "https://registry.npmjs.org/node-int64/-/node-int64-0.4.0.tgz",
@@ -6148,14 +6037,6 @@
                 "makeerror": "1.0.12"
             }
         },
-        "node_modules/web-streams-polyfill": {
-            "version": "4.0.0-beta.3",
-            "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.3.tgz",
-            "integrity": "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==",
-            "engines": {
-                "node": ">= 14"
-            }
-        },
         "node_modules/which": {
             "version": "2.0.2",
             "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
diff --git a/package.json b/package.json
index 99d2962..deda0d6 100644
--- a/package.json
+++ b/package.json
@@ -52,6 +52,7 @@
         "lint": "eslint \"*/**/*.{ts,js,json}\"",
         "lint:fix": "eslint \"*/**/*.{ts,js,json}\" --fix",
         "build": "rollup --config ./rollup.config.mjs",
+        "build:watch": "rollup --config ./rollup.config.mjs --watch",
         "prepublishOnly": "npm run doc && npm run lint && npm run test && npm run build",
         "examples:insurance": "ts-node-dev examples/insurance/index.ts"
     },
@@ -69,6 +70,6 @@
     },
     "homepage": "https://github.com/paztek/llobotomy-azure#readme",
     "dependencies": {
-        "@azure/openai": "^1.0.0-beta.7"
+        "@azure/openai": "^1.0.0-beta.8"
     }
 }
diff --git a/src/assistant/assistant.ts b/src/assistant/assistant.ts
index d7c6914..0a74b32 100644
--- a/src/assistant/assistant.ts
+++ b/src/assistant/assistant.ts
@@ -1,12 +1,16 @@
-import type { FunctionDefinition, OpenAIClient } from '@azure/openai';
-import type { GetChatCompletionsOptions } from '@azure/openai/types/src/api/models';
-import type { ChatMessage } from '@azure/openai/types/src/models/models';
+import type {
+    ChatRequestMessage,
+    ChatRequestSystemMessage,
+    GetChatCompletionsOptions,
+    OpenAIClient,
+} from '@azure/openai';
+import type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';
 import { Readable } from 'stream';
 
 export interface AssistantCreateParams {
     client: OpenAIClient;
     instructions: string;
-    functions: FunctionDefinition[];
+    tools: ChatCompletionsToolDefinition[];
     deployment: string;
 }
 
@@ -14,26 +18,26 @@ export class Assistant {
     public readonly client: OpenAIClient;
 
     private readonly instructions: string;
-    private readonly functions: FunctionDefinition[];
+    private readonly tools: ChatCompletionsToolDefinition[];
     private readonly deployment: string;
 
     constructor(params: AssistantCreateParams) {
         this.client = params.client;
         this.instructions = params.instructions;
-        this.functions = params.functions;
+        this.tools = params.tools;
         this.deployment = params.deployment;
     }
 
-    listChatCompletions(messages: ChatMessage[]): Readable {
+    listChatCompletions(messages: ChatRequestMessage[]): Readable {
         // Prepend the messages with our instructions as a "system" message
-        const systemMessage: ChatMessage = {
+        const systemMessage: ChatRequestSystemMessage = {
             role: 'system',
             content: this.instructions,
         };
         messages = [systemMessage, ...messages];
 
         const options: GetChatCompletionsOptions = {
-            functions: this.functions,
+            tools: this.tools,
         };
 
         const completions = this.client.listChatCompletions(
diff --git a/src/thread/thread.spec.ts b/src/thread/thread.spec.ts
index 4b77dca..df0132f 100644
--- a/src/thread/thread.spec.ts
+++ b/src/thread/thread.spec.ts
@@ -1,4 +1,10 @@
-import type { ChatChoice, ChatCompletions, ChatMessage } from '@azure/openai';
+import type {
+    ChatChoice,
+    ChatCompletions,
+    ChatRequestMessage,
+    ChatRequestUserMessage,
+    ChatResponseMessage,
+} from '@azure/openai';
 import { mock } from 'jest-mock-extended';
 import { Readable } from 'stream';
 import { Assistant } from '../assistant';
@@ -21,14 +27,15 @@ describe('Thread', () => {
     });
 
     describe('addMessage', () => {
-        const message: ChatMessage = {
+        const message: ChatRequestUserMessage = {
             role: 'user',
             content: 'Hello',
         };
 
-        it('emits a "message" event', () => {
+        it('emits a "message" and a "message:request" events', () => {
             thread.addMessage(message);
-            expect(emitSpy).toHaveBeenCalledWith('message', message);
+            expect(emitSpy).nthCalledWith(1, 'message', message);
+            expect(emitSpy).nthCalledWith(2, 'message:request', message);
         });
     });
 
@@ -42,7 +49,7 @@ describe('Thread', () => {
             expect(emitSpy).toHaveBeenCalledWith('in_progress');
         });
 
-        describe('when the completions from the assistant are a function call', () => {
+        describe('when the completions from the assistant are some tool calls', () => {
             const functionName = 'get_customer_profile';
 
             beforeEach(() => {
@@ -52,56 +59,76 @@ describe('Thread', () => {
                         finishReason: null,
                         delta: {
                             role: 'assistant',
-                            functionCall: {
-                                name: functionName,
-                                // eslint-disable-next-line @typescript-eslint/ban-ts-comment
-                                // @ts-ignore
-                                arguments: undefined,
-                            },
+                            toolCalls: [
+                                {
+                                    id: 'tool-call-1234abc',
+                                    type: 'function',
+                                    function: {
+                                        name: functionName,
+                                        // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+                                        // @ts-ignore
+                                        arguments: undefined,
+                                    },
+                                },
+                            ],
                         },
                     },
                     {
                         index: 0,
                         finishReason: null,
                         delta: {
-                            functionCall: {
-                                // eslint-disable-next-line @typescript-eslint/ban-ts-comment
-                                // @ts-ignore
-                                name: undefined,
-                                arguments: '{"',
-                            },
+                            toolCalls: [
+                                {
+                                    function: {
+                                        // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+                                        // @ts-ignore
+                                        name: undefined,
+                                        arguments: '{"',
+                                    },
+                                },
+                            ],
                         },
                     },
                     {
                         index: 0,
                         finishReason: null,
                         delta: {
-                            functionCall: {
-                                // eslint-disable-next-line @typescript-eslint/ban-ts-comment
-                                // @ts-ignore
-                                name: undefined,
-                                arguments: 'id":"',
-                            },
+                            toolCalls: [
+                                {
+                                    function: {
+                                        // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+                                        // @ts-ignore
+                                        name: undefined,
+                                        arguments: 'id":"',
+                                    },
+                                },
+                            ],
                         },
                     },
                     {
                         index: 0,
                         finishReason: null,
                         delta: {
-                            functionCall: {
-                                // eslint-disable-next-line @typescript-eslint/ban-ts-comment
-                                // @ts-ignore
-                                name: undefined,
-                                arguments: 'ABC"}',
-                            },
+                            toolCalls: [
+                                {
+                                    function: {
+                                        // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+                                        // @ts-ignore
+                                        name: undefined,
+                                        arguments: 'ABC"}',
+                                    },
+                                },
+                            ],
                         },
                     },
                     {
                         index: 0,
-                        finishReason: 'function_call',
+                        finishReason: 'tool_calls',
                         // eslint-disable-next-line @typescript-eslint/ban-ts-comment
                         // @ts-ignore
-                        delta: {},
+                        delta: {
+                            toolCalls: [],
+                        },
                     },
                 ];
                 const completions: ChatCompletions[] = choices.map(
@@ -109,6 +136,7 @@ describe('Thread', () => {
                         id: 'chat-cmpl-1234abc',
                         created: new Date(),
                         choices: [choice],
+                        promptFilterResults: [],
                     }),
                 );
 
@@ -119,14 +147,14 @@ describe('Thread', () => {
                 );
             });
 
-            it('emits a "message" event from the assistant, with the function call parameters', async () => {
+            it('emits a "message" event from the assistant, with the tool calls parameters', async () => {
                 thread.run(assistant);
 
                 // The "message" event is sent asynchronously, we need to wait for it to be emitted
                 await new Promise<void>((resolve, reject) => {
                     thread.on('error', reject);
                     thread.on('message', (message) => {
-                        if (isFunctionCallMessage(message)) {
+                        if (isChatResponseAssistantToolCallsMessage(message)) {
                             resolve();
                         }
                     });
@@ -135,12 +163,18 @@ describe('Thread', () => {
                 expect(emitSpy).nthCalledWith(2, 'message', {
                     role: 'assistant',
                     content: null,
-                    functionCall: {
-                        name: functionName,
-                        arguments: JSON.stringify({
-                            id: 'ABC',
-                        }),
-                    },
+                    toolCalls: [
+                        {
+                            id: 'tool-call-1234abc',
+                            type: 'function',
+                            function: {
+                                name: functionName,
+                                arguments: JSON.stringify({
+                                    id: 'ABC',
+                                }),
+                            },
+                        },
+                    ],
                 });
             });
 
@@ -154,18 +188,22 @@ describe('Thread', () => {
                 });
 
                 expect(emitSpy).nthCalledWith(
-                    3,
+                    4,
                     'requires_action',
                     expect.any(RequiredAction),
                 );
 
                 const requiredAction = emitSpy.mock
                     .calls[2][1] as RequiredAction;
-                expect(requiredAction.toolCall).toBeDefined();
-                expect(requiredAction.toolCall.name).toEqual(functionName);
-                expect(requiredAction.toolCall.arguments).toEqual({
-                    id: 'ABC',
-                });
+                expect(requiredAction.toolCalls).toBeDefined();
+                expect(requiredAction.toolCalls[0]?.function.name).toEqual(
+                    functionName,
+                );
+                expect(requiredAction.toolCalls[0]?.function.arguments).toEqual(
+                    JSON.stringify({
+                        id: 'ABC',
+                    }),
+                );
             });
         });
 
@@ -179,6 +217,7 @@ describe('Thread', () => {
                         // @ts-ignore
                         delta: {
                             role: 'assistant',
+                            toolCalls: [],
                         },
                     },
                     {
@@ -188,6 +227,7 @@ describe('Thread', () => {
                         // @ts-ignore
                         delta: {
                             content: 'Lorem ipsum',
+                            toolCalls: [],
                         },
                     },
                     {
@@ -197,6 +237,7 @@ describe('Thread', () => {
                         // @ts-ignore
                         delta: {
                             content: ' dolor sit',
+                            toolCalls: [],
                         },
                     },
                     {
@@ -206,6 +247,7 @@ describe('Thread', () => {
                         // @ts-ignore
                         delta: {
                             content: ' amet',
+                            toolCalls: [],
                         },
                     },
                     {
@@ -221,6 +263,7 @@ describe('Thread', () => {
                         id: 'chat-cmpl-1234abc',
                         created: new Date(),
                         choices: [choice],
+                        promptFilterResults: [],
                     }),
                 );
 
@@ -238,7 +281,7 @@ describe('Thread', () => {
                 await new Promise<void>((resolve, reject) => {
                     thread.on('error', reject);
                     thread.on('message', (message) => {
-                        if (isTextMessage(message)) {
+                        if (isChatResponseAssistantContentMessage(message)) {
                             resolve();
                         }
                     });
@@ -247,6 +290,7 @@ describe('Thread', () => {
                 expect(emitSpy).nthCalledWith(2, 'message', {
                     role: 'assistant',
                     content: 'Lorem ipsum dolor sit amet',
+                    toolCalls: [],
                 });
             });
 
@@ -259,7 +303,7 @@ describe('Thread', () => {
                     thread.on('completed', resolve);
                 });
 
-                expect(emitSpy).nthCalledWith(3, 'completed');
+                expect(emitSpy).nthCalledWith(4, 'completed');
             });
 
             it('also writes to the stream of the thread', async () => {
@@ -289,12 +333,16 @@ async function* createAsyncIterable<T>(items: T[]): AsyncIterable<T> {
     }
 }
 
-function isFunctionCallMessage(message: ChatMessage): boolean {
-    return (
-        message.role === 'assistant' && message.functionCall?.name !== undefined
-    );
+function isChatResponseAssistantContentMessage(
+    m: ChatRequestMessage | ChatResponseMessage,
+): m is ChatResponseMessage {
+    return m.role === 'assistant' && m.content !== null;
 }
 
-function isTextMessage(message: ChatMessage): boolean {
-    return message.role === 'assistant' && message.functionCall === undefined;
+function isChatResponseAssistantToolCallsMessage(
+    m: ChatRequestMessage | ChatResponseMessage,
+): m is ChatResponseMessage {
+    return (
+        m.role === 'assistant' && 'toolCalls' in m && m.toolCalls?.length > 0
+    );
 }
diff --git a/src/thread/thread.ts b/src/thread/thread.ts
index ecbf3ac..aabce8d 100644
--- a/src/thread/thread.ts
+++ b/src/thread/thread.ts
@@ -1,13 +1,22 @@
-import type { ChatCompletions, ChatMessage, FunctionCall } from '@azure/openai';
+import type {
+    ChatCompletions,
+    ChatCompletionsToolCall,
+    ChatRequestMessage,
+    ChatRequestToolMessage,
+    ChatResponseMessage,
+} from '@azure/openai';
 import EventEmitter from 'events';
 import { Readable } from 'stream';
 import { Assistant } from '../assistant';
 
 export class Thread extends EventEmitter {
+    private readonly messages: (ChatRequestMessage | ChatResponseMessage)[] =
+        [];
     private _stream: Readable | null = null;
 
-    constructor(private readonly messages: ChatMessage[] = []) {
+    constructor(messages: ChatRequestMessage[] = []) {
         super();
+        this.messages = messages;
     }
 
     get stream(): Readable | null {
@@ -18,9 +27,8 @@ export class Thread extends EventEmitter {
         return this._stream;
     }
 
-    addMessage(message: ChatMessage): void {
-        this.messages.push(message);
-        this.emit('message', message);
+    addMessage(message: ChatRequestMessage): void {
+        this.doAddMessage(message);
     }
 
     run(assistant: Assistant): void {
@@ -33,7 +41,9 @@ export class Thread extends EventEmitter {
     private doRun(assistant: Assistant): void {
         this.emit('in_progress');
 
-        const stream = assistant.listChatCompletions(this.messages);
+        const messages = this.getRequestMessages();
+
+        const stream = assistant.listChatCompletions(messages);
 
         /**
          * When the LLM responds with a function call, the first completion's first choice looks like this:
@@ -69,11 +79,35 @@ export class Thread extends EventEmitter {
                 throw new Error('No delta returned');
             }
 
-            if (delta.functionCall) {
-                const name = delta.functionCall.name;
-                this.handleStreamAsFunctionCall(name, stream, assistant);
+            if (delta.toolCalls.length > 0) {
+                this.handleStreamAsToolCalls(
+                    delta.toolCalls,
+                    stream,
+                    assistant,
+                );
             } else {
-                this.handleStreamAsChatMessage(stream);
+                this.handleStreamAsChatResponseMessage(stream);
+            }
+        });
+    }
+
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    private getRequestMessages(): ChatRequestMessage[] {
+        return this.messages.map((m) => {
+            if (m.role === 'system' || m.role === 'user' || m.role === 'tool') {
+                // These are messages from the application (a.k.a request messages)
+                return m as ChatRequestMessage;
+            } else {
+                // These are messages from the assistant (a.k.a response messages)
+                const responseMessage = m as ChatResponseMessage;
+                return {
+                    role: 'assistant',
+                    content: responseMessage.content,
+                    toolCalls: responseMessage.toolCalls,
+                };
             }
         });
     }
@@ -96,12 +130,12 @@ export class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    private handleStreamAsFunctionCall(
-        name: string,
+    private handleStreamAsToolCalls(
+        toolCalls: ChatCompletionsToolCall[],
         stream: Readable,
         assistant: Assistant,
     ): void {
-        let args = '';
+        const argsList = Array(toolCalls.length).fill('');
 
         stream.on('data', (completions: ChatCompletions) => {
             const choice = completions.choices[0];
@@ -113,40 +147,41 @@ export class Thread extends EventEmitter {
                 throw new Error('No delta returned');
             }
 
-            if (delta.functionCall) {
-                const functionCall = delta.functionCall;
-                if (functionCall.arguments) {
-                    args += functionCall.arguments;
-                }
-            }
-
-            if (choice.finishReason === 'function_call') {
-                const functionCall: FunctionCall = {
-                    name,
-                    arguments: args,
-                };
+            delta.toolCalls.forEach((toolCall, index) => {
+                argsList[index] += toolCall.function.arguments;
+            });
+
+            if (choice.finishReason === 'tool_calls') {
+                const finalToolCalls: ChatCompletionsToolCall[] = toolCalls.map(
+                    (toolCall, index) => ({
+                        ...toolCall,
+                        function: {
+                            ...toolCall.function,
+                            arguments: argsList[index],
+                        },
+                    }),
+                );
 
                 // Adds the assistant's response to the messages
-                const message: ChatMessage = {
+                const message: ChatResponseMessage = {
                     role: 'assistant',
                     content: null,
-                    functionCall,
+                    toolCalls: finalToolCalls,
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
 
-                const requiredAction = new RequiredAction({
-                    name,
-                    arguments: args,
-                });
+                const requiredAction = new RequiredAction(finalToolCalls);
 
-                requiredAction.on('submitting', (toolOutput: ToolOutput) => {
-                    // Adds the tool output to the messages
-                    const message: ChatMessage = {
-                        role: 'function',
-                        name: functionCall.name,
-                        content: JSON.stringify(toolOutput),
-                    };
-                    this.addMessage(message);
+                requiredAction.on('submitting', (toolOutputs: ToolOutput[]) => {
+                    // Adds the tool outputs to the messages
+                    for (const toolOutput of toolOutputs) {
+                        const message: ChatRequestToolMessage = {
+                            role: 'tool',
+                            content: JSON.stringify(toolOutput.value),
+                            toolCallId: toolOutput.callId,
+                        };
+                        this.doAddMessage(message);
+                    }
 
                     this.doRun(assistant);
                 });
@@ -174,7 +209,7 @@ export class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    private handleStreamAsChatMessage(stream: Readable): void {
+    private handleStreamAsChatResponseMessage(stream: Readable): void {
         let content = '';
 
         stream.on('data', (completions: ChatCompletions) => {
@@ -199,33 +234,40 @@ export class Thread extends EventEmitter {
 
             if (choice.finishReason === 'stop') {
                 // Adds the assistant's response to the messages
-                const message: ChatMessage = {
+                const message: ChatResponseMessage = {
                     role: 'assistant',
                     content,
+                    toolCalls: [],
                 };
-                this.addMessage(message);
+                this.doAddMessage(message);
 
                 this.emit('completed');
                 this._stream?.push(null);
             }
         });
     }
+
+    private doAddMessage(
+        message: ChatRequestMessage | ChatResponseMessage,
+    ): void {
+        this.messages.push(message);
+        this.emit('message', message);
+
+        if (isChatRequestMessage(message)) {
+            this.emit('message:request', message);
+        } else {
+            this.emit('message:response', message);
+        }
+    }
 }
 
 export class RequiredAction extends EventEmitter {
-    toolCall: ToolCall;
-
-    constructor(functionCall: FunctionCall) {
+    constructor(public readonly toolCalls: ChatCompletionsToolCall[]) {
         super();
-
-        this.toolCall = {
-            name: functionCall.name,
-            arguments: JSON.parse(functionCall.arguments),
-        };
     }
 
-    submitToolOutput(toolOutput: ToolOutput): void {
-        this.emit('submitting', toolOutput);
+    submitToolOutputs(toolOutputs: ToolOutput[]): void {
+        this.emit('submitting', toolOutputs);
     }
 }
 
@@ -235,5 +277,18 @@ export interface ToolCall {
 }
 
 export interface ToolOutput {
+    callId: string;
     value: unknown;
 }
+
+export function isChatResponseMessage(
+    m: ChatRequestMessage | ChatResponseMessage,
+): m is ChatResponseMessage {
+    return 'toolCalls' in m;
+}
+
+export function isChatRequestMessage(
+    m: ChatRequestMessage | ChatResponseMessage,
+): m is ChatRequestMessage {
+    return !isChatResponseMessage(m);
+}
diff --git a/types/assistant/assistant.d.ts b/types/assistant/assistant.d.ts
index b4b8736..d1cccf3 100644
--- a/types/assistant/assistant.d.ts
+++ b/types/assistant/assistant.d.ts
@@ -1,19 +1,19 @@
 /// <reference types="node" />
-import type { FunctionDefinition, OpenAIClient } from '@azure/openai';
-import type { ChatMessage } from '@azure/openai/types/src/models/models';
+import type { ChatRequestMessage, OpenAIClient } from '@azure/openai';
+import type { ChatCompletionsToolDefinition } from '@azure/openai/types/src/models/models';
 import { Readable } from 'stream';
 export interface AssistantCreateParams {
     client: OpenAIClient;
     instructions: string;
-    functions: FunctionDefinition[];
+    tools: ChatCompletionsToolDefinition[];
     deployment: string;
 }
 export declare class Assistant {
     readonly client: OpenAIClient;
     private readonly instructions;
-    private readonly functions;
+    private readonly tools;
     private readonly deployment;
     constructor(params: AssistantCreateParams);
-    listChatCompletions(messages: ChatMessage[]): Readable;
+    listChatCompletions(messages: ChatRequestMessage[]): Readable;
 }
 //# sourceMappingURL=assistant.d.ts.map
\ No newline at end of file
diff --git a/types/assistant/assistant.d.ts.map b/types/assistant/assistant.d.ts.map
index 5dd0cf1..c785980 100644
--- a/types/assistant/assistant.d.ts.map
+++ b/types/assistant/assistant.d.ts.map
@@ -1 +1 @@
-{"version":3,"file":"assistant.d.ts","sourceRoot":"","sources":["../../src/assistant/assistant.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,kBAAkB,EAAE,YAAY,EAAE,MAAM,eAAe,CAAC;AAEtE,OAAO,KAAK,EAAE,WAAW,EAAE,MAAM,uCAAuC,CAAC;AACzE,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAElC,MAAM,WAAW,qBAAqB;IAClC,MAAM,EAAE,YAAY,CAAC;IACrB,YAAY,EAAE,MAAM,CAAC;IACrB,SAAS,EAAE,kBAAkB,EAAE,CAAC;IAChC,UAAU,EAAE,MAAM,CAAC;CACtB;AAED,qBAAa,SAAS;IAClB,SAAgB,MAAM,EAAE,YAAY,CAAC;IAErC,OAAO,CAAC,QAAQ,CAAC,YAAY,CAAS;IACtC,OAAO,CAAC,QAAQ,CAAC,SAAS,CAAuB;IACjD,OAAO,CAAC,QAAQ,CAAC,UAAU,CAAS;gBAExB,MAAM,EAAE,qBAAqB;IAOzC,mBAAmB,CAAC,QAAQ,EAAE,WAAW,EAAE,GAAG,QAAQ;CAsBzD"}
\ No newline at end of file
+{"version":3,"file":"assistant.d.ts","sourceRoot":"","sources":["../../src/assistant/assistant.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EACR,kBAAkB,EAGlB,YAAY,EACf,MAAM,eAAe,CAAC;AACvB,OAAO,KAAK,EAAE,6BAA6B,EAAE,MAAM,uCAAuC,CAAC;AAC3F,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAElC,MAAM,WAAW,qBAAqB;IAClC,MAAM,EAAE,YAAY,CAAC;IACrB,YAAY,EAAE,MAAM,CAAC;IACrB,KAAK,EAAE,6BAA6B,EAAE,CAAC;IACvC,UAAU,EAAE,MAAM,CAAC;CACtB;AAED,qBAAa,SAAS;IAClB,SAAgB,MAAM,EAAE,YAAY,CAAC;IAErC,OAAO,CAAC,QAAQ,CAAC,YAAY,CAAS;IACtC,OAAO,CAAC,QAAQ,CAAC,KAAK,CAAkC;IACxD,OAAO,CAAC,QAAQ,CAAC,UAAU,CAAS;gBAExB,MAAM,EAAE,qBAAqB;IAOzC,mBAAmB,CAAC,QAAQ,EAAE,kBAAkB,EAAE,GAAG,QAAQ;CAsBhE"}
\ No newline at end of file
diff --git a/types/assistant/function-tool.d.ts b/types/assistant/function-tool.d.ts
deleted file mode 100644
index e0dbdda..0000000
--- a/types/assistant/function-tool.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import type { FunctionDefinition } from '@azure/openai';
-export interface FunctionTool<T extends Record<string, unknown> = Record<string, unknown>, U = unknown> {
-    definition: FunctionDefinition;
-    execute(args: T): Promise<U>;
-}
-//# sourceMappingURL=function-tool.d.ts.map
\ No newline at end of file
diff --git a/types/assistant/function-tool.d.ts.map b/types/assistant/function-tool.d.ts.map
deleted file mode 100644
index 8d116fa..0000000
--- a/types/assistant/function-tool.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"function-tool.d.ts","sourceRoot":"","sources":["../../src/assistant/function-tool.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,kBAAkB,EAAE,MAAM,eAAe,CAAC;AAExD,MAAM,WAAW,YAAY,CACzB,CAAC,SAAS,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,GAAG,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,EAC3D,CAAC,GAAG,OAAO;IAEX,UAAU,EAAE,kBAAkB,CAAC;IAC/B,OAAO,CAAC,IAAI,EAAE,CAAC,GAAG,OAAO,CAAC,CAAC,CAAC,CAAC;CAChC"}
\ No newline at end of file
diff --git a/types/thread/thread.d.ts b/types/thread/thread.d.ts
index 7b0ba18..ead645e 100644
--- a/types/thread/thread.d.ts
+++ b/types/thread/thread.d.ts
@@ -1,17 +1,22 @@
 /// <reference types="node" />
 /// <reference types="node" />
-import type { ChatMessage, FunctionCall } from '@azure/openai';
+import type { ChatCompletionsToolCall, ChatRequestMessage, ChatResponseMessage } from '@azure/openai';
 import EventEmitter from 'events';
 import { Readable } from 'stream';
 import { Assistant } from '../assistant';
 export declare class Thread extends EventEmitter {
     private readonly messages;
     private _stream;
-    constructor(messages?: ChatMessage[]);
+    constructor(messages?: ChatRequestMessage[]);
     get stream(): Readable | null;
-    addMessage(message: ChatMessage): void;
+    addMessage(message: ChatRequestMessage): void;
     run(assistant: Assistant): void;
     private doRun;
+    /**
+     * Convert the mix of ChatRequestMessages and ChatResponseMessages to ChatRequestMessages only
+     * so they can be sent again to the LLM.
+     */
+    private getRequestMessages;
     /**
      * Handles the stream as a function call after we determined from the beginning of the stream that it is a function call.
      * The stream emits some completions.
@@ -30,7 +35,7 @@ export declare class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'function_call', delta: {} } <---- end of the function call
      */
-    private handleStreamAsFunctionCall;
+    private handleStreamAsToolCalls;
     /**
      * Handles the stream as a chat message after we determined from the beginning of the stream that it is a chat message.
      * The stream emits some completions.
@@ -49,18 +54,22 @@ export declare class Thread extends EventEmitter {
      * }
      * { index: 0, finishReason: 'stop', delta: {} } <---- end of the message
      */
-    private handleStreamAsChatMessage;
+    private handleStreamAsChatResponseMessage;
+    private doAddMessage;
 }
 export declare class RequiredAction extends EventEmitter {
-    toolCall: ToolCall;
-    constructor(functionCall: FunctionCall);
-    submitToolOutput(toolOutput: ToolOutput): void;
+    readonly toolCalls: ChatCompletionsToolCall[];
+    constructor(toolCalls: ChatCompletionsToolCall[]);
+    submitToolOutputs(toolOutputs: ToolOutput[]): void;
 }
 export interface ToolCall {
     name: string;
     arguments: Record<string, unknown>;
 }
 export interface ToolOutput {
+    callId: string;
     value: unknown;
 }
+export declare function isChatResponseMessage(m: ChatRequestMessage | ChatResponseMessage): m is ChatResponseMessage;
+export declare function isChatRequestMessage(m: ChatRequestMessage | ChatResponseMessage): m is ChatRequestMessage;
 //# sourceMappingURL=thread.d.ts.map
\ No newline at end of file
diff --git a/types/thread/thread.d.ts.map b/types/thread/thread.d.ts.map
index cc06bb7..a317db1 100644
--- a/types/thread/thread.d.ts.map
+++ b/types/thread/thread.d.ts.map
@@ -1 +1 @@
-{"version":3,"file":"thread.d.ts","sourceRoot":"","sources":["../../src/thread/thread.ts"],"names":[],"mappings":";;AAAA,OAAO,KAAK,EAAmB,WAAW,EAAE,YAAY,EAAE,MAAM,eAAe,CAAC;AAChF,OAAO,YAAY,MAAM,QAAQ,CAAC;AAClC,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAClC,OAAO,EAAE,SAAS,EAAE,MAAM,cAAc,CAAC;AAEzC,qBAAa,MAAO,SAAQ,YAAY;IAGxB,OAAO,CAAC,QAAQ,CAAC,QAAQ;IAFrC,OAAO,CAAC,OAAO,CAAyB;gBAEX,QAAQ,GAAE,WAAW,EAAO;IAIzD,IAAI,MAAM,IAAI,QAAQ,GAAG,IAAI,CAM5B;IAED,UAAU,CAAC,OAAO,EAAE,WAAW,GAAG,IAAI;IAKtC,GAAG,CAAC,SAAS,EAAE,SAAS,GAAG,IAAI;IAO/B,OAAO,CAAC,KAAK;IAgDb;;;;;;;;;;;;;;;;;OAiBG;IACH,OAAO,CAAC,0BAA0B;IA4DlC;;;;;;;;;;;;;;;;;OAiBG;IACH,OAAO,CAAC,yBAAyB;CAoCpC;AAED,qBAAa,cAAe,SAAQ,YAAY;IAC5C,QAAQ,EAAE,QAAQ,CAAC;gBAEP,YAAY,EAAE,YAAY;IAStC,gBAAgB,CAAC,UAAU,EAAE,UAAU,GAAG,IAAI;CAGjD;AAED,MAAM,WAAW,QAAQ;IACrB,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACtC;AAED,MAAM,WAAW,UAAU;IACvB,KAAK,EAAE,OAAO,CAAC;CAClB"}
\ No newline at end of file
+{"version":3,"file":"thread.d.ts","sourceRoot":"","sources":["../../src/thread/thread.ts"],"names":[],"mappings":";;AAAA,OAAO,KAAK,EAER,uBAAuB,EACvB,kBAAkB,EAElB,mBAAmB,EACtB,MAAM,eAAe,CAAC;AACvB,OAAO,YAAY,MAAM,QAAQ,CAAC;AAClC,OAAO,EAAE,QAAQ,EAAE,MAAM,QAAQ,CAAC;AAClC,OAAO,EAAE,SAAS,EAAE,MAAM,cAAc,CAAC;AAEzC,qBAAa,MAAO,SAAQ,YAAY;IACpC,OAAO,CAAC,QAAQ,CAAC,QAAQ,CAClB;IACP,OAAO,CAAC,OAAO,CAAyB;gBAE5B,QAAQ,GAAE,kBAAkB,EAAO;IAK/C,IAAI,MAAM,IAAI,QAAQ,GAAG,IAAI,CAM5B;IAED,UAAU,CAAC,OAAO,EAAE,kBAAkB,GAAG,IAAI;IAI7C,GAAG,CAAC,SAAS,EAAE,SAAS,GAAG,IAAI;IAO/B,OAAO,CAAC,KAAK;IAqDb;;;OAGG;IACH,OAAO,CAAC,kBAAkB;IAiB1B;;;;;;;;;;;;;;;;;OAiBG;IACH,OAAO,CAAC,uBAAuB;IA6D/B;;;;;;;;;;;;;;;;;OAiBG;IACH,OAAO,CAAC,iCAAiC;IAsCzC,OAAO,CAAC,YAAY;CAYvB;AAED,qBAAa,cAAe,SAAQ,YAAY;aAChB,SAAS,EAAE,uBAAuB,EAAE;gBAApC,SAAS,EAAE,uBAAuB,EAAE;IAIhE,iBAAiB,CAAC,WAAW,EAAE,UAAU,EAAE,GAAG,IAAI;CAGrD;AAED,MAAM,WAAW,QAAQ;IACrB,IAAI,EAAE,MAAM,CAAC;IACb,SAAS,EAAE,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC;CACtC;AAED,MAAM,WAAW,UAAU;IACvB,MAAM,EAAE,MAAM,CAAC;IACf,KAAK,EAAE,OAAO,CAAC;CAClB;AAED,wBAAgB,qBAAqB,CACjC,CAAC,EAAE,kBAAkB,GAAG,mBAAmB,GAC5C,CAAC,IAAI,mBAAmB,CAE1B;AAED,wBAAgB,oBAAoB,CAChC,CAAC,EAAE,kBAAkB,GAAG,mBAAmB,GAC5C,CAAC,IAAI,kBAAkB,CAEzB"}
\ No newline at end of file