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feat(kiro): enhance request translation and fix streaming issues
English: - Fix <thinking> tag parsing: only parse at response start, avoid misinterpreting discussion text - Add token counting support using tiktoken for local estimation - Support top_p parameter in inference config - Handle max_tokens=-1 as maximum (32000 tokens) - Add tool_choice and response_format parameter handling via system prompt hints - Support multiple thinking mode detection formats (Claude API, OpenAI reasoning_effort, AMP/Cursor) - Shorten MCP tool names exceeding 64 characters - Fix duplicate [DONE] marker in OpenAI SSE streaming - Enhance token usage statistics with multiple event format support - Add code fence markers to constants 中文: - 修复 <thinking> 标签解析:仅在响应开头解析,避免误解析讨论文本中的标签 - 使用 tiktoken 实现本地 token 计数功能 - 支持 top_p 推理配置参数 - 处理 max_tokens=-1 转换为最大值(32000 tokens) - 通过系统提示词注入实现 tool_choice 和 response_format 参数支持 - 支持多种思考模式检测格式(Claude API、OpenAI reasoning_effort、AMP/Cursor) - 截断超过64字符的 MCP 工具名称 - 修复 OpenAI SSE 流中重复的 [DONE] 标记 - 增强 token 使用量统计,支持多种事件格式 - 添加代码围栏标记常量
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@@ -12,6 +12,15 @@ const (
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// ThinkingEndTag is the end tag for thinking blocks in responses.
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ThinkingEndTag = "</thinking>"
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// CodeFenceMarker is the markdown code fence marker.
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CodeFenceMarker = "```"
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// AltCodeFenceMarker is the alternative markdown code fence marker.
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AltCodeFenceMarker = "~~~"
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// InlineCodeMarker is the markdown inline code marker (backtick).
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InlineCodeMarker = "`"
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// KiroAgenticSystemPrompt is injected only for -agentic models to prevent timeouts on large writes.
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// AWS Kiro API has a 2-3 minute timeout for large file write operations.
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KiroAgenticSystemPrompt = `
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