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Add new .deepseek model type with specific context length (32K), max output tokens (8K), capabilities (text generation, function calling, streaming, tool access), and parameter constraints. Update request/response handling to use GPT builders for API compatibility, and fallback to JSON mode for schema conversion. Includes integration tests for DeepSeek model functionality. Signed-off-by: alex <alex.tech.lab@outlook.com>
…compatibility - Updated `extractResponseFormatWithSchema` and related methods in `TranscriptConverter` to accept an `OpenAIModel` parameter - Added logic to fallback to `.json` mode for DeepSeek models that do not support `json_schema` - Modified `OpenAILanguageModel` to pass the model when extracting response formats - Ensures compatibility with various OpenAI-compatible models by handling schema support differences Signed-off-by: alex <alex.tech.lab@outlook.com>
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This reverts commit 9578d29.
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And it is also necessary to build a special scheme to prompt |
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Title: Add DeepSeek Model Support for JSON Response Format
Description
DeepSeek models (deepseek-chat, deepseek-coder, etc.) are widely used but currently have compatibility issues with structured JSON output in this library.
Problem
DeepSeek models don't support OpenAI's
json_schemaresponse format. When requesting structured responses, they need to use the simplerjsonformat instead.Solution
Modified
TranscriptConverter.extractResponseFormatFromJSON()to detect DeepSeek models and automatically usejsonformat when a response schema is provided.Changes
jsonformatTesting
Added tests verifying DeepSeek models correctly use
jsonformat while maintaining compatibility with existing GPT models.This enables users to leverage DeepSeek models for structured output without API errors.