TypingMind

Could you please explore integrating the native web search/browsing capabilities inherent in models like Google Gemini? While the current plugin-based web search is useful, I've found its results can sometimes be less accurate or relevant compared to using Gemini directly with its built-in search functionality. Leveraging the model's native search could significantly improve the quality and accuracy of responses for queries requiring up-to-date information.

I currently prefer to use the Gemini app instead of TypingMind. The reason for this is the advanced deep research function. It must also be available in TypingMind soon.

Can you please add support for codex-mini-latest? https://platform.openai.com/docs/models/codex-mini-latest Currently using it via https://openrouter.ai/openai/codex-mini and working fine as a chat model.

The Open AI now has a 'seed' parameter to allow for reproducible outputs. Even with a temperature of 0 it is possible (especially with long prompts) to get a different output, so it would be great to have the seed as an optional parameter in the advanced settings.

support (OpenAI, Anthropic, Google) Capable of utilizing different LLM models, including Gemini, Claude, LaMDA, and more.

The Gemini API has a new feature where you can ground results with Google search which reduces hallucinations and provides references to content. https://developers.googleblog.com/en/gemini-api-and-ai-studio-now-offer-grounding-with-google-search/ Here's the important description of the feature "the model returns grounding sources (in-line supporting links) and Search Suggestions that point users to the search results corresponding to the grounded response."

Allow users to individually enable or disable Streaming mode for each model, providing more granular control over Streaming functionality.

Support the new features assuming the API key is from a verified organization

It doesn't work; an error message says I have entered too much data in a short period of time, which I haven't. It was caused by the model using artifacts, for example, going online to search for too much information, and causing an error.

The new Response API allows us access to built in tools that the Assistant's API has access to, such as web search and file search. https://platform.openai.com/docs/guides/responses-vs-chat-completions