@promptbook/remote-client - npm Package Compare versions

Comparing version 0.52.0-1 to 0.52.0-2

esm/index.es.js

@@ -144,3 +144,3 @@ import { io } from 'socket.io-client';
                 return [2 /*return*/, [
-                    /* !!!!! */
+                    /* !!! */
                     ]];
@@ -147,0 +147,0 @@ });

esm/typings/_packages/openai.index.d.ts

@@ -1,4 +0,4 @@
-import { OPENAI_MODELS } from '../execution/plugins/llm-execution-tools/openai/models';
+import { OPENAI_MODELS } from '../execution/plugins/llm-execution-tools/openai/openai-models';
 import { OpenAiExecutionTools } from '../execution/plugins/llm-execution-tools/openai/OpenAiExecutionTools';
 import { OpenAiExecutionToolsOptions } from '../execution/plugins/llm-execution-tools/openai/OpenAiExecutionToolsOptions';
 export { OPENAI_MODELS, OpenAiExecutionTools, OpenAiExecutionToolsOptions };

esm/typings/execution/plugins/llm-execution-tools/mocked/MockedEchoLlmExecutionTools.d.ts

@@ -14,7 +14,7 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptChatResult>;
     /**
      * Mocks completion model
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
     /**
@@ -21,0 +21,0 @@ * List all available mocked-models that can be used

esm/typings/execution/plugins/llm-execution-tools/mocked/MockedFackedLlmExecutionTools.d.ts

@@ -14,7 +14,7 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult & PromptCompletionResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptChatResult & PromptCompletionResult>;
     /**
      * Fakes completion model
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptCompletionResult>;
     /**
@@ -21,0 +21,0 @@ * List all available fake-models that can be used

esm/typings/execution/plugins/llm-execution-tools/openai/computeUsage.d.ts

 /**
- * String value found on openai page
+ * String value found on OpenAI and Anthropic Claude page
  *
+ * @see https://openai.com/api/pricing/
+ * @see https://docs.anthropic.com/en/docs/models-overview
+ *
  * @private within the library, used only as internal helper for `OPENAI_MODELS` and `computeUsage`
  */
-type string_openai_price = `$${number}.${number} / ${number}M tokens`;
+type string_model_price = `$${number}.${number} / ${number}M tokens`;
 /**
@@ -12,3 +15,3 @@ * Function computeUsage will create price per one token based on the string value found on openai page
  */
-export declare function computeUsage(value: string_openai_price): number;
+export declare function computeUsage(value: string_model_price): number;
 export {};

esm/typings/execution/plugins/llm-execution-tools/openai/OpenAiExecutionTools.d.ts

@@ -13,3 +13,3 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    private readonly openai;
+    private readonly client;
     /**
@@ -24,7 +24,7 @@ * Creates OpenAI Execution Tools.
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptChatResult>;
     /**
      * Calls OpenAI API to use a complete model.
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
     /**
@@ -31,0 +31,0 @@ * Default model for chat variant.

esm/typings/execution/plugins/llm-execution-tools/openai/OpenAiExecutionToolsOptions.d.ts

@@ -13,5 +13,7 @@ import type { ClientOptions } from 'openai';
      * A unique identifier representing your end-user, which can help OpenAI to monitor
-     * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+     * and detect abuse.
+     *
+     * @see https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids
      */
     user?: string_token;
 };

esm/typings/execution/PromptResult.d.ts

@@ -26,3 +26,3 @@ import type { number_positive_or_zero, number_tokens, number_usd, string_date_iso8601, string_model_name } from '.././types/typeAliases';
      */
-    readonly model: string_model_name;
+    readonly modelName: string_model_name;
     /**
@@ -58,7 +58,7 @@ * Timing
          */
-        inputTokens: number_tokens;
+        inputTokens: number_tokens | 'UNKNOWN';
         /**
          * Number of tokens used in the output aka. `completion_tokens`
          */
-        outputTokens: number_tokens;
+        outputTokens: number_tokens | 'UNKNOWN';
     };
@@ -65,0 +65,0 @@ /**

package.json

 {
     "name": "@promptbook/remote-client",
-    "version": "0.52.0-1",
+    "version": "0.52.0-2",
     "description": "Library to supercharge your use of large language models",
@@ -50,3 +50,3 @@ "private": false,
     "peerDependencies": {
-        "@promptbook/core": "0.52.0-1"
+        "@promptbook/core": "0.52.0-2"
     },
@@ -53,0 +53,0 @@ "main": "./umd/index.umd.js",

README.md

@@ -332,3 +332,3 @@ # ![Promptbook logo - cube with letters P and B](./other/design/logo-h1.png) Promptbook
 -   **[@promptbook/openai](https://www.npmjs.com/package/@promptbook/openai)** - Execution tools for OpenAI API, wrapper around OpenAI SDK
--   **[@promptbook/anthropic-claude](https://www.npmjs.com/package/@promptbook/anthropic-claude)** - Execution tools for Anthropic Claude API, wrapper around Anthropic Claude SDK
+-   **[@promptbook/anthropic-claude](https://www.npmjs.com/package/@promptbook/anthropic-claude)** - Execution tools for Anthropic Claude API, wrapper around Anthropic Claude SDK 
 -   **[@promptbook/azure-openai](https://www.npmjs.com/package/@promptbook/azure-openai)** - Execution tools for Azure OpenAI API
@@ -486,4 +486,5 @@ -   **[@promptbook/langtail](https://www.npmjs.com/package/@promptbook/langtail)** - Execution tools for Langtail API, wrapper around Langtail SDK
 -   `OpenAiExecutionTools`
--   _(Not implemented yet !!!!! )_ `AnthropicClaudeExecutionTools`
--   _(Not implemented yet !!!!! )_ `AzureOpenAiExecutionTools`
+-   `AnthropicClaudeExecutionTools`
+-   `AzureOpenAiExecutionTools`
+-   `LangtailExecutionTools`
 -   _(Not implemented yet)_ `BardExecutionTools`
@@ -490,0 +491,0 @@ -   _(Not implemented yet)_ `LamaExecutionTools`

umd/index.umd.js

@@ -148,3 +148,3 @@ (function (global, factory) {
                     return [2 /*return*/, [
-                        /* !!!!! */
+                        /* !!! */
                         ]];
@@ -151,0 +151,0 @@ });

umd/typings/_packages/openai.index.d.ts

@@ -1,4 +0,4 @@
-import { OPENAI_MODELS } from '../execution/plugins/llm-execution-tools/openai/models';
+import { OPENAI_MODELS } from '../execution/plugins/llm-execution-tools/openai/openai-models';
 import { OpenAiExecutionTools } from '../execution/plugins/llm-execution-tools/openai/OpenAiExecutionTools';
 import { OpenAiExecutionToolsOptions } from '../execution/plugins/llm-execution-tools/openai/OpenAiExecutionToolsOptions';
 export { OPENAI_MODELS, OpenAiExecutionTools, OpenAiExecutionToolsOptions };

umd/typings/execution/plugins/llm-execution-tools/mocked/MockedEchoLlmExecutionTools.d.ts

@@ -14,7 +14,7 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptChatResult>;
     /**
      * Mocks completion model
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
     /**
@@ -21,0 +21,0 @@ * List all available mocked-models that can be used

umd/typings/execution/plugins/llm-execution-tools/mocked/MockedFackedLlmExecutionTools.d.ts

@@ -14,7 +14,7 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult & PromptCompletionResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptChatResult & PromptCompletionResult>;
     /**
      * Fakes completion model
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements' | 'expectations' | 'postprocessing'>): Promise<PromptCompletionResult>;
     /**
@@ -21,0 +21,0 @@ * List all available fake-models that can be used

umd/typings/execution/plugins/llm-execution-tools/openai/computeUsage.d.ts

 /**
- * String value found on openai page
+ * String value found on OpenAI and Anthropic Claude page
  *
+ * @see https://openai.com/api/pricing/
+ * @see https://docs.anthropic.com/en/docs/models-overview
+ *
  * @private within the library, used only as internal helper for `OPENAI_MODELS` and `computeUsage`
  */
-type string_openai_price = `$${number}.${number} / ${number}M tokens`;
+type string_model_price = `$${number}.${number} / ${number}M tokens`;
 /**
@@ -12,3 +15,3 @@ * Function computeUsage will create price per one token based on the string value found on openai page
  */
-export declare function computeUsage(value: string_openai_price): number;
+export declare function computeUsage(value: string_model_price): number;
 export {};

umd/typings/execution/plugins/llm-execution-tools/openai/OpenAiExecutionTools.d.ts

@@ -13,3 +13,3 @@ import type { Prompt } from '../../../../types/Prompt';
      */
-    private readonly openai;
+    private readonly client;
     /**
@@ -24,7 +24,7 @@ * Creates OpenAI Execution Tools.
      */
-    gptChat(prompt: Prompt): Promise<PromptChatResult>;
+    gptChat(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptChatResult>;
     /**
      * Calls OpenAI API to use a complete model.
      */
-    gptComplete(prompt: Prompt): Promise<PromptCompletionResult>;
+    gptComplete(prompt: Pick<Prompt, 'content' | 'modelRequirements'>): Promise<PromptCompletionResult>;
     /**
@@ -31,0 +31,0 @@ * Default model for chat variant.

umd/typings/execution/plugins/llm-execution-tools/openai/OpenAiExecutionToolsOptions.d.ts

@@ -13,5 +13,7 @@ import type { ClientOptions } from 'openai';
      * A unique identifier representing your end-user, which can help OpenAI to monitor
-     * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+     * and detect abuse.
+     *
+     * @see https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids
      */
     user?: string_token;
 };

umd/typings/execution/PromptResult.d.ts

@@ -26,3 +26,3 @@ import type { number_positive_or_zero, number_tokens, number_usd, string_date_iso8601, string_model_name } from '.././types/typeAliases';
      */
-    readonly model: string_model_name;
+    readonly modelName: string_model_name;
     /**
@@ -58,7 +58,7 @@ * Timing
          */
-        inputTokens: number_tokens;
+        inputTokens: number_tokens | 'UNKNOWN';
         /**
          * Number of tokens used in the output aka. `completion_tokens`
          */
-        outputTokens: number_tokens;
+        outputTokens: number_tokens | 'UNKNOWN';
     };
@@ -65,0 +65,0 @@ /**

New alerts

License Policy Violation

License

This package is not allowed per your license policy. Review the package's license to ensure compliance.

Found 1 instance in 1 package

Fixed alerts

License Policy Violation

License

This package is not allowed per your license policy. Review the package's license to ensure compliance.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

441121

increased by3.26%

Number of package files

506

increased by4.55%

Lines of code

7432

increased by4.5%

Number of lines in readme file

709

increased by0.14%

No dependency changes