add completion model

docs/docs/classes/BgentRuntime.md

@@ -25,6 +25,7 @@ Creates an instance of BgentRuntime.
 | `opts.actions?` | [`Action`](../interfaces/Action.md)[] | Optional custom actions. |
 | `opts.debugMode?` | `boolean` | If true, debug messages will be logged. |
 | `opts.evaluators?` | [`Evaluator`](../interfaces/Evaluator.md)[] | Optional custom evaluators. |
+| `opts.model?` | `string` | The model to use for completion. |
 | `opts.providers?` | [`Provider`](../interfaces/Provider.md)[] | Optional context providers. |
 | `opts.recentMessageCount?` | `number` | The number of messages to hold in the recent message cache. |
 | `opts.serverUrl?` | `string` | The URL of the worker. |
@@ -93,6 +94,14 @@ Store messages that are sent and received by the agent.
 
 ___
 
+### model
+
+• **model**: `string` = `"gpt-3.5-turbo-0125"`
+
+The model to use for completion.
+
+___
+
 ### providers
 
 • **providers**: [`Provider`](../interfaces/Provider.md)[] = `[]`
@@ -138,7 +147,7 @@ Send a message to the OpenAI API for completion.
 | `opts` | `Object` | `undefined` | The options for the completion request. |
 | `opts.context` | `undefined` \| `string` | `""` | The context of the message to be completed. |
 | `opts.frequency_penalty` | `undefined` \| `number` | `0.0` | The frequency penalty to apply to the completion. |
-| `opts.model` | `undefined` \| `string` | `"gpt-3.5-turbo-0125"` | The model to use for completion. |
+| `opts.model` | `undefined` \| `string` | `undefined` | The model to use for completion. |
 | `opts.presence_penalty` | `undefined` \| `number` | `0.0` | The presence penalty to apply to the completion. |
 | `opts.stop` | `undefined` \| `never`[] | `[]` | A list of strings to stop the completion at. |
 

package.json

@@ -1,6 +1,6 @@
 {
   "name": "bgent",
-  "version": "0.0.32",
+  "version": "0.0.33",
   "private": false,
   "description": "bgent. because agent was taken.",
   "type": "module",

src/lib/runtime.ts

@@ -80,6 +80,11 @@ export class BgentRuntime {
    */
   providers: Provider[] = [];
 
+  /**
+   * The model to use for completion.
+   */
+  model = "gpt-3.5-turbo-0125";
+
   /**
    * Store messages that are sent and received by the agent.
    */
@@ -123,6 +128,7 @@ export class BgentRuntime {
    * @param opts.actions - Optional custom actions.
    * @param opts.evaluators - Optional custom evaluators.
    * @param opts.providers - Optional context providers.
+   * @param opts.model - The model to use for completion.
    */
   constructor(opts: {
     recentMessageCount?: number; // number of messages to hold in the recent message cache
@@ -133,12 +139,14 @@ export class BgentRuntime {
     actions?: Action[]; // Optional custom actions
     evaluators?: Evaluator[]; // Optional custom evaluators
     providers?: Provider[];
+    model?: string; // The model to use for completion
   }) {
     this.#recentMessageCount =
       opts.recentMessageCount ?? this.#recentMessageCount;
     this.debugMode = opts.debugMode ?? false;
     this.supabase = opts.supabase;
     this.serverUrl = opts.serverUrl ?? this.serverUrl;
+    this.model = opts.model ?? this.model;
     if (!this.serverUrl) {
       console.warn("No serverUrl provided, defaulting to localhost");
     }
@@ -202,7 +210,7 @@ export class BgentRuntime {
   async completion({
     context = "",
     stop = [],
-    model = "gpt-3.5-turbo-0125",
+    model = this.model,
     frequency_penalty = 0.0,
     presence_penalty = 0.0,
   }) {