diff --git a/packages/sdk/server-ai/src/LDAIClientImpl.ts b/packages/sdk/server-ai/src/LDAIClientImpl.ts
index da50b04399..4ad0021565 100644
--- a/packages/sdk/server-ai/src/LDAIClientImpl.ts
+++ b/packages/sdk/server-ai/src/LDAIClientImpl.ts
@@ -3,6 +3,7 @@ import * as Mustache from 'mustache';
 import { LDContext } from '@launchdarkly/js-server-sdk-common';
 
 import { LDAIAgent, LDAIAgentConfig, LDAIAgentDefaults } from './api/agents';
+import { BaseTrackedChat, TrackedChatFactory } from './api/chat';
 import {
   LDAIConfig,
   LDAIConfigTracker,
@@ -222,4 +223,26 @@ export class LDAIClientImpl implements LDAIClient {
 
     return agents;
   }
+
+  async initChat(
+    key: string,
+    context: LDContext,
+    defaultValue: LDAIDefaults,
+    variables?: Record<string, unknown>,
+  ): Promise<BaseTrackedChat | undefined> {
+    // Track chat initialization
+    this._ldClient.track('$ld:ai:config:function:initChat', context, key, 1);
+
+    const config = await this.config(key, context, defaultValue, variables);
+
+    // Return null if the configuration is disabled
+    if (!config.enabled) {
+      return undefined;
+    }
+
+    // Create the TrackedChat instance based on the provider
+    const chat = await TrackedChatFactory.create(config, config.tracker);
+
+    return chat;
+  }
 }
diff --git a/packages/sdk/server-ai/src/api/LDAIClient.ts b/packages/sdk/server-ai/src/api/LDAIClient.ts
index be02e887d1..03d17c1d13 100644
--- a/packages/sdk/server-ai/src/api/LDAIClient.ts
+++ b/packages/sdk/server-ai/src/api/LDAIClient.ts
@@ -1,6 +1,7 @@
 import { LDContext } from '@launchdarkly/js-server-sdk-common';
 
 import { LDAIAgent, LDAIAgentConfig, LDAIAgentDefaults } from './agents';
+import { BaseTrackedChat } from './chat';
 import { LDAIConfig, LDAIDefaults } from './config/LDAIConfig';
 
 /**
@@ -143,4 +144,47 @@ export interface LDAIClient {
     agentConfigs: T,
     context: LDContext,
   ): Promise<Record<T[number]['key'], LDAIAgent>>;
+
+  /**
+   * Initializes and returns a new TrackedChat instance for chat interactions.
+   * This method serves as the primary entry point for creating TrackedChat instances from configuration.
+   *
+   * @param key The key identifying the AI chat configuration to use.
+   * @param context The standard LDContext used when evaluating flags.
+   * @param defaultValue A default value representing a standard AI chat config result.
+   * @param variables Dictionary of values for instruction interpolation.
+   * @returns A promise that resolves to the TrackedChat instance, or null if the configuration is disabled.
+   *
+   * @example
+   * ```
+   * const key = "customer_support_chat";
+   * const context = {...};
+   * const defaultValue = {
+   *   config: {
+   *     enabled: false,
+   *     model: { name: "gpt-4" },
+   *     messages: [
+   *       { role: "system", content: "You are a helpful customer support agent." }
+   *     ]
+   *   }
+   * };
+   * const variables = { customerName: 'John' };
+   *
+   * const chat = await client.initChat(key, context, defaultValue, variables);
+   * if (chat) {
+   *   const response = await chat.invoke("I need help with my order");
+   *   console.log(response.message.content);
+   *
+   *   // Access configuration and tracker if needed
+   *   console.log('Model:', chat.getConfig().model?.name);
+   *   chat.getTracker().trackSuccess();
+   * }
+   * ```
+   */
+  initChat(
+    key: string,
+    context: LDContext,
+    defaultValue: LDAIDefaults,
+    variables?: Record<string, unknown>,
+  ): Promise<BaseTrackedChat | undefined>;
 }
diff --git a/packages/sdk/server-ai/src/api/chat/BaseTrackedChat.ts b/packages/sdk/server-ai/src/api/chat/BaseTrackedChat.ts
new file mode 100644
index 0000000000..e30c4bb1fe
--- /dev/null
+++ b/packages/sdk/server-ai/src/api/chat/BaseTrackedChat.ts
@@ -0,0 +1,82 @@
+import { LDAIConfig, LDMessage } from '../config/LDAIConfig';
+import { LDAIConfigTracker } from '../config/LDAIConfigTracker';
+import { ChatResponse } from './TrackedChat';
+
+/**
+ * Base implementation of TrackedChat that provides common functionality.
+ * This can be extended by provider-specific implementations.
+ */
+export abstract class BaseTrackedChat {
+  protected messages: LDMessage[];
+
+  constructor(
+    protected readonly aiConfig: LDAIConfig,
+    protected readonly tracker: LDAIConfigTracker,
+  ) {
+    this.messages = aiConfig.messages || [];
+  }
+
+  /**
+   * Invoke the chat model with a prompt string.
+   * This method handles conversation management and tracking, delegating to the provider's invokeModel method.
+   */
+  async invoke(prompt: string): Promise<ChatResponse> {
+    // Convert prompt string to LDMessage with role 'user' and add to conversation history
+    const userMessage: LDMessage = {
+      role: 'user',
+      content: prompt,
+    };
+    this.messages.push(userMessage);
+
+    // Delegate to provider-specific implementation with tracking
+    const response = await this.trackMetricsOf(() => this.invokeModel(this.messages));
+
+    // Add the assistant response to the conversation history
+    this.messages.push(response.message);
+
+    return response;
+  }
+
+  /**
+   * Abstract method that providers must implement to handle the actual model invocation.
+   * This method should convert messages to provider format, invoke the model, and return a ChatResponse.
+   */
+  protected abstract invokeModel(messages: LDMessage[]): Promise<ChatResponse>;
+
+  /**
+   * Track metrics for a ChatResponse execution.
+   * This method handles duration tracking, token usage tracking, and success/error tracking.
+   */
+  protected async trackMetricsOf(callable: () => Promise<ChatResponse>): Promise<ChatResponse> {
+    return this.tracker.trackDurationOf(async () => {
+      try {
+        const result = await callable();
+
+        // Track token usage if available
+        if (result.usage) {
+          this.tracker.trackTokens(result.usage);
+        }
+
+        this.tracker.trackSuccess();
+        return result;
+      } catch (error) {
+        this.tracker.trackError();
+        throw error;
+      }
+    });
+  }
+
+  /**
+   * Get the underlying AI configuration used to initialize this TrackedChat.
+   */
+  getConfig(): LDAIConfig {
+    return this.aiConfig;
+  }
+
+  /**
+   * Get the underlying AI configuration tracker used to initialize this TrackedChat.
+   */
+  getTracker(): LDAIConfigTracker {
+    return this.tracker;
+  }
+}
diff --git a/packages/sdk/server-ai/src/api/chat/TrackedChat.ts b/packages/sdk/server-ai/src/api/chat/TrackedChat.ts
new file mode 100644
index 0000000000..f09a92f99c
--- /dev/null
+++ b/packages/sdk/server-ai/src/api/chat/TrackedChat.ts
@@ -0,0 +1,60 @@
+import { LDAIConfig, LDMessage } from '../config/LDAIConfig';
+import { LDAIConfigTracker } from '../config/LDAIConfigTracker';
+import { LDTokenUsage } from '../metrics/LDTokenUsage';
+
+/**
+ * Chat response structure.
+ */
+export interface ChatResponse {
+  /**
+   * The response message from the AI.
+   */
+  message: LDMessage;
+
+  /**
+   * Token usage information.
+   */
+  usage?: LDTokenUsage;
+
+  /**
+   * Additional metadata from the provider.
+   */
+  metadata?: Record<string, unknown>;
+}
+
+/**
+ * Interface for provider-specific tracked chat implementations.
+ */
+export interface ProviderTrackedChat {
+  /**
+   * Invoke the chat model with the provided messages.
+   * This method provides a consistent interface for chat model execution while integrating
+   * LaunchDarkly-specific functionality.
+   *
+   * @param prompt A prompt string that will be converted to a user message and added to the conversation history.
+   * @returns A promise that resolves to the chat response.
+   */
+  invoke(prompt: string): Promise<ChatResponse>;
+
+  /**
+   * Get the underlying AI configuration used to initialize this TrackedChat.
+   *
+   * @returns The AI configuration.
+   */
+  getConfig(): LDAIConfig;
+
+  /**
+   * Get the underlying AI configuration tracker used to initialize this TrackedChat.
+   *
+   * @returns The AI configuration tracker.
+   */
+  getTracker(): LDAIConfigTracker;
+
+  /**
+   * Get the underlying provider-specific chat model instance.
+   * This provides direct access to the underlying provider chat model for advanced use cases.
+   *
+   * @returns The configured provider-specific chat model instance.
+   */
+  getChatModel(): unknown;
+}
diff --git a/packages/sdk/server-ai/src/api/chat/TrackedChatFactory.ts b/packages/sdk/server-ai/src/api/chat/TrackedChatFactory.ts
new file mode 100644
index 0000000000..d6e3e17682
--- /dev/null
+++ b/packages/sdk/server-ai/src/api/chat/TrackedChatFactory.ts
@@ -0,0 +1,68 @@
+import { LDAIConfig } from '../config/LDAIConfig';
+import { LDAIConfigTracker } from '../config/LDAIConfigTracker';
+import { BaseTrackedChat } from './BaseTrackedChat';
+
+/**
+ * Factory for creating TrackedChat instances based on the provider configuration.
+ */
+export class TrackedChatFactory {
+  /**
+   * Create a TrackedChat instance based on the AI configuration.
+   * This method attempts to load provider-specific implementations dynamically.
+   * Returns undefined if the provider is not supported.
+   */
+  static async create(
+    aiConfig: LDAIConfig,
+    tracker: LDAIConfigTracker,
+  ): Promise<BaseTrackedChat | undefined> {
+    const providerName = aiConfig.provider?.name?.toLowerCase();
+    let trackedChat: BaseTrackedChat | undefined;
+
+    // Try specific implementations for the provider
+    switch (providerName) {
+      case 'openai':
+        trackedChat = undefined;
+        break;
+      case 'bedrock':
+        trackedChat = undefined;
+        break;
+      default:
+        trackedChat = undefined;
+    }
+
+    // If no specific implementation worked, try LangChain as fallback
+    if (!trackedChat) {
+      trackedChat = await this._createLangChainTrackedChat(aiConfig, tracker);
+    }
+
+    // If LangChain didn't work, try Vercel as fallback
+    if (!trackedChat) {
+      // TODO: Return Vercel AI SDK implementation when available
+      // trackedChat = this._createVercelTrackedChat(aiConfig, tracker);
+    }
+
+    return trackedChat;
+  }
+
+  /**
+   * Create a LangChain TrackedChat instance if the LangChain provider is available.
+   */
+  private static async _createLangChainTrackedChat(
+    aiConfig: LDAIConfig,
+    tracker: LDAIConfigTracker,
+  ): Promise<BaseTrackedChat | undefined> {
+    try {
+      // Try to dynamically import the LangChain provider
+      // This will work if @launchdarkly/server-sdk-ai-langchain is installed
+      // eslint-disable-next-line @typescript-eslint/no-require-imports, import/no-extraneous-dependencies
+      const { LangChainTrackedChat, LangChainProvider } = require('@launchdarkly/server-sdk-ai-langchain');
+
+      // Build the LLM during factory creation to catch errors early
+      const llm = await LangChainProvider.createLangChainModel(aiConfig);
+      return new LangChainTrackedChat(aiConfig, tracker, llm);
+    } catch (error) {
+      // If the LangChain provider is not available or LLM creation fails, return undefined
+      return undefined;
+    }
+  }
+}
diff --git a/packages/sdk/server-ai/src/api/chat/index.ts b/packages/sdk/server-ai/src/api/chat/index.ts
new file mode 100644
index 0000000000..b24488a858
--- /dev/null
+++ b/packages/sdk/server-ai/src/api/chat/index.ts
@@ -0,0 +1,3 @@
+export * from './BaseTrackedChat';
+export * from './TrackedChat';
+export * from './TrackedChatFactory';
diff --git a/packages/sdk/server-ai/src/api/index.ts b/packages/sdk/server-ai/src/api/index.ts
index cd6333b027..1581770896 100644
--- a/packages/sdk/server-ai/src/api/index.ts
+++ b/packages/sdk/server-ai/src/api/index.ts
@@ -1,4 +1,5 @@
 export * from './config';
 export * from './agents';
+export * from './chat';
 export * from './metrics';
 export * from './LDAIClient';