@promptbook/anthropic-claude - npm Package Compare versions

Comparing version 0.72.0-33 to 0.72.0-34

esm/typings/src/executables/apps/locateLibreoffice.d.ts

@@ -7,3 +7,3 @@ import type { string_executable_path } from '../../types/typeAliases';
  */
-export declare function locateLibreoffice(): Promise<string_executable_path>;
+export declare function locateLibreoffice(): Promise<string_executable_path | null>;
 /**
@@ -10,0 +10,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node` OR `@promptbook/legacy-documents`

esm/typings/src/executables/apps/locatePandoc.d.ts

@@ -7,3 +7,3 @@ import type { string_executable_path } from '../../types/typeAliases';
  */
-export declare function locatePandoc(): Promise<string_executable_path>;
+export declare function locatePandoc(): Promise<string_executable_path | null>;
 /**
@@ -10,0 +10,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node` OR `@promptbook/documents`

esm/typings/src/executables/locateApp.d.ts

@@ -29,3 +29,3 @@ import type { RequireAtLeastOne } from 'type-fest';
  */
-export declare function locateApp(options: RequireAtLeastOne<LocateAppOptions, 'linuxWhich' | 'windowsSuffix' | 'macOsName'>): Promise<string_executable_path>;
+export declare function locateApp(options: RequireAtLeastOne<LocateAppOptions, 'linuxWhich' | 'windowsSuffix' | 'macOsName'>): Promise<string_executable_path | null>;
 /**
@@ -32,0 +32,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node`

esm/typings/src/executables/platforms/locateAppOnLinux.d.ts

@@ -0,3 +1,3 @@
+import type { string_executable_path } from '../../types/typeAliases';
 import type { LocateAppOptions } from '../locateApp';
-import type { string_executable_path } from '../../types/typeAliases';
 /**
@@ -8,3 +8,3 @@ * @@@
  */
-export declare function locateAppOnLinux({ appName, linuxWhich, }: Pick<Required<LocateAppOptions>, 'appName' | 'linuxWhich'>): Promise<string_executable_path>;
+export declare function locateAppOnLinux({ appName, linuxWhich, }: Pick<Required<LocateAppOptions>, 'appName' | 'linuxWhich'>): Promise<string_executable_path | null>;
 /**
@@ -11,0 +11,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node`

esm/typings/src/executables/platforms/locateAppOnMacOs.d.ts

@@ -8,3 +8,3 @@ import type { string_executable_path } from '../../types/typeAliases';
  */
-export declare function locateAppOnMacOs({ appName, macOsName, }: Pick<Required<LocateAppOptions>, 'appName' | 'macOsName'>): Promise<string_executable_path>;
+export declare function locateAppOnMacOs({ appName, macOsName, }: Pick<Required<LocateAppOptions>, 'appName' | 'macOsName'>): Promise<string_executable_path | null>;
 /**
@@ -11,0 +11,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node`

esm/typings/src/executables/platforms/locateAppOnWindows.d.ts

@@ -8,3 +8,3 @@ import type { string_executable_path } from '../../types/typeAliases';
  */
-export declare function locateAppOnWindows({ appName, windowsSuffix, }: Pick<Required<LocateAppOptions>, 'appName' | 'windowsSuffix'>): Promise<string_executable_path>;
+export declare function locateAppOnWindows({ appName, windowsSuffix, }: Pick<Required<LocateAppOptions>, 'appName' | 'windowsSuffix'>): Promise<string_executable_path | null>;
 /**
@@ -11,0 +11,0 @@ * TODO: [🧠][♿] Maybe export through `@promptbook/node`

package.json

 {
     "name": "@promptbook/anthropic-claude",
-    "version": "0.72.0-33",
+    "version": "0.72.0-34",
     "description": "Supercharge your use of large language models",
@@ -55,3 +55,3 @@ "private": false,
     "peerDependencies": {
-        "@promptbook/core": "0.72.0-33"
+        "@promptbook/core": "0.72.0-34"
     },
@@ -58,0 +58,0 @@ "dependencies": {

README.md

@@ -220,5 +220,5 @@ <!-- ⚠️ WARNING: This code has been generated so that any manual changes will be overwritten -->
 
-If you have a simple, single prompt for ChatGPT, GPT-4, Anthropic Claude, Google Gemini, Llama 2, or whatever, it doesn't matter how you integrate it. Whether it's calling a REST API directly, using the SDK, hardcoding the prompt into the source code, or importing a text file, the process remains the same.
+If you have a simple, single prompt for ChatGPT, GPT-4, Anthropic Claude, Google Gemini, Llama 3, or whatever, it doesn't matter how you integrate it. Whether it's calling a REST API directly, using the SDK, hardcoding the prompt into the source code, or importing a text file, the process remains the same.
 
-But often you will struggle with the limitations of LLMs, such as hallucinations, off-topic responses, poor quality output, language drift, word repetition repetition repetition repetition or misuse, lack of context, or just plain w𝒆𝐢rd responses. When this happens, you generally have three options:
+But often you will struggle with the **limitations of LLMs**, such as **hallucinations, off-topic responses, poor quality output, language and prompt drift, word repetition repetition repetition repetition or misuse, lack of context, or just plain w𝒆𝐢rd responses**. When this happens, you generally have three options:
 
@@ -229,3 +229,3 @@ 1. **Fine-tune** the model to your specifications or even train your own.
 
-In all of these situations, but especially in 3., the Promptbook library can make your life easier.
+In all of these situations, but especially in 3., the **✨ Promptbook can make your life waaaaaaaaaay easier**.
 
@@ -232,0 +232,0 @@ -   [**Separates concerns**](https://github.com/webgptorg/promptbook/discussions/32) between prompt-engineer and programmer, between code files and prompt files, and between prompts and their execution logic.

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