Add streaming and conversation support to gemini

[hlohaus]

No description provided.

[github-actions]

Hello H Lohaus,

Thank you for your contribution to the project. Here's the review for your pull request titled "Add streaming and conversation support to gemini":

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Pull Request Review

General Observations:

• The pull request lacks a description, which is usually helpful for providing context and the intent behind the changes. It's always good practice to include a brief summary of the changes and their purpose.

Code Review:

• The addition of BaseConversation to base_provider.py and Gemini.py seems to be consistent with the aim of adding conversation support.
• The update to REQUEST_BL_PARAM in Gemini.py reflects a change in the backend service version, which is good for keeping the code up-to-date.
• The introduction of _snlm0e and _sid as class variables in Gemini.py is noted. Ensure that these are securely handled and are not exposed to potential security risks.
• The modifications in async_client.py and client.py to handle instances of BaseConversation are appropriate and follow the existing pattern of handling special types.

Suggestions:

• Consider adding error handling for the new conversation functionality to manage potential exceptions or invalid states.
• Unit tests for the new features would be beneficial to ensure that the new functionality works as expected and to prevent future regressions.
• Documentation for the new classes and methods would be helpful for maintainers and other contributors to understand the usage and purpose of the new features.

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Overall, the changes align with the goal of adding streaming and conversation support. After addressing the above points, the pull request will be in good shape for merging.

Best regards,
g4f Copilot

[github-actions]

The condition if max_tokens is not None and count >= max_tokens: could lead to an off-by-one error. The >= operator will cause the loop to exit when count is equal to max_tokens, potentially yielding one less token than intended. If the goal is to yield up to max_tokens, use > instead.