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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
src/libs/Cohere/openapi.yaml (2)
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917-958
: Consider simplifying the Java sampleWhile the Java sample is comprehensive, it's significantly more complex than the examples for other languages. Consider simplifying it to match the complexity of other language examples, focusing on a single user message for consistency.
Here's a suggested simplified version:
import com.cohere.api.Cohere; import com.cohere.api.resources.v2.requests.V2ChatRequest; import com.cohere.api.types.*; public class Default { public static void main(String[] args) { Cohere cohere = Cohere.builder().token("<<apiKey>>").build(); ChatResponse response = cohere.v2().chat( V2ChatRequest.builder() .model("command-r-plus-08-2024") .messages(List.of( ChatMessageV2.user( UserMessage.builder() .content(UserMessageContent.of("hello world!")) .build() ) )) .build() ); System.out.println(response); } }
1194-1202
: LGTM: Excellent addition of tool examplesThe inclusion of tool examples across multiple languages (TypeScript, Python, Java, and cURL) is a valuable addition to the documentation. This clearly demonstrates how to use the new tools feature with the Cohere API.
Consider adding an explanatory comment
To improve clarity, consider adding a brief comment at the beginning of each example explaining the purpose of tools in the chat context. This would help developers understand why they might want to use this feature.
Here's a suggested comment:
# Tools allow you to define custom functions that the AI can use during the chat, # enabling it to access external data or perform specific actions.
Recommendation for Java example
The Java example, while comprehensive, is significantly more verbose than the examples in other languages. Consider simplifying it to match the style and complexity of the TypeScript and Python examples for consistency.
Here's a suggested simplified version:
import com.cohere.api.Cohere; import com.cohere.api.resources.v2.requests.V2ChatRequest; import com.cohere.api.types.*; public class Tools { public static void main(String[] args) { Cohere cohere = Cohere.builder().token("<<apiKey>>").build(); ChatResponse response = cohere.v2().chat( V2ChatRequest.builder() .model("command-r-plus-08-2024") .tools(List.of( ToolV2.builder() .function(ToolV2Function.builder() .name("query_daily_sales_report") .description("Connects to a database to retrieve overall sales volumes and sales information for a given day.") .parameters(Map.of( "day", ToolParameterDefinitionsValue.builder() .type("string") .description("Retrieves sales data for this day, formatted as YYYY-MM-DD.") .build() )) .build()) .build(), ToolV2.builder() .function(ToolV2Function.builder() .name("query_product_catalog") .description("Connects to a product catalog with information about all the products being sold, including categories, prices, and stock levels.") .parameters(Map.of( "category", ToolParameterDefinitionsValue.builder() .type("string") .description("Retrieves product information data for all products in this category.") .build() )) .build()) .build() )) .messages(List.of( ChatMessageV2.user( UserMessage.builder() .content(UserMessageContent.of("Can you provide a sales summary for 29th September 2023, and also give me some details about the products in the 'Electronics' category, for example their prices and stock levels?")) .build() ) )) .build() ); System.out.println(response); } }Also applies to: 1197-1202, 1203-1263
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🔇 Additional comments (2)
src/libs/Cohere/openapi.yaml (2)
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898-916
: LGTM: Good addition of the Python async sampleThe addition of the Python async sample is a valuable inclusion. It demonstrates how to use the new
AsyncClientV2
class, which is helpful for developers working with asynchronous code.
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898-1263
: Overall, these changes significantly enhance the API documentationThe additions to the OpenAPI specification provide valuable examples for using the Cohere API across multiple programming languages. The introduction of the tools feature and the inclusion of async Python examples are particularly noteworthy improvements. These changes will greatly assist developers in understanding and implementing the API's capabilities, especially the new tools feature.
To further improve the documentation:
- Ensure consistency in complexity across language examples.
- Consider adding brief explanatory comments for new features like tools.
- Verify that the "command-r-plus-08-2024" model referenced in the examples is the most up-to-date and recommended model for these use cases.
No description provided.