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🚀 feat: o1 Tool Calling & reasoning_effort (#5553)
* fix: Update @librechat/agents to version 1.9.98 * feat: o1 tool calling * fix: Improve error logging in RouteErrorBoundary * refactor: Move extractContent function to utils and clean up Artifact component * refactor: optimize reasoning UI post-streaming and deprecate plugins rendering * feat: reasoning_effort support * fix: update request content type handling in openapiToFunction to remove default 'application/x-www-form-urlencoded' * chore: bump v0.7.696 data-provider
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@ -578,6 +578,7 @@ export default {
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com_endpoint_top_k: 'Top K',
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com_endpoint_max_output_tokens: 'Max Output Tokens',
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com_endpoint_stop: 'Stop Sequences',
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com_endpoint_reasoning_effort: 'Reasoning Effort',
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com_endpoint_stop_placeholder: 'Separate values by pressing `Enter`',
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com_endpoint_openai_max_tokens: `Optional \`max_tokens\` field, representing the maximum number of tokens that can be generated in the chat completion.
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@ -596,6 +597,8 @@ export default {
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'Resend all previously attached images. Note: this can significantly increase token cost and you may experience errors with many image attachments.',
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com_endpoint_openai_resend_files:
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'Resend all previously attached files. Note: this will increase token cost and you may experience errors with many attachments.',
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com_endpoint_openai_reasoning_effort:
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'o1 models only: constrains effort on reasoning for reasoning models. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.',
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com_endpoint_openai_detail:
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'The resolution for Vision requests. "Low" is cheaper and faster, "High" is more detailed and expensive, and "Auto" will automatically choose between the two based on the image resolution.',
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com_endpoint_openai_stop: 'Up to 4 sequences where the API will stop generating further tokens.',
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