批注接口的使用
io.agentscope.core.tool.Tool

使用Tool的程序包

程序包	说明
io.agentscope.core.memory
io.agentscope.core.rag
io.agentscope.core.tool.builtin
io.agentscope.core.tool.file
io.agentscope.core.tool.multimodal

io.agentscope.core.memory中Tool的使用

批注类型为Tool的io.agentscope.core.memory中的方法

修饰符和类型	方法	说明
reactor.core.publisher.Mono<String>	LongTermMemoryTools.recordToMemory(String thinking, List<String> content)	已过时, 待删除: 此 API 元素将从以后的版本中删除。 Tool function for agent to record important information to long-term memory.
reactor.core.publisher.Mono<String>	LongTermMemoryTools.retrieveFromMemory(List<String> keywords)	已过时, 待删除: 此 API 元素将从以后的版本中删除。 Tool function for agent to retrieve information from long-term memory.

io.agentscope.core.rag中Tool的使用

批注类型为Tool的io.agentscope.core.rag中的方法

修饰符和类型	方法	说明
String	KnowledgeRetrievalTools.retrieveKnowledge(String query, Integer limit, Agent agent, RuntimeContext ctx)	已过时, 待删除: 此 API 元素将从以后的版本中删除。 Retrieves relevant documents from the knowledge base.

io.agentscope.core.tool.builtin中Tool的使用

批注类型为Tool的io.agentscope.core.tool.builtin中的方法

修饰符和类型	方法	说明
String	TodoTools.todoWrite(List<TodoTools.TodoItem> todos, AgentState state)	Replaces the session task list with todos.

io.agentscope.core.tool.file中Tool的使用

批注类型为Tool的io.agentscope.core.tool.file中的方法

修饰符和类型	方法	说明
reactor.core.publisher.Mono<ToolResultBlock>	WriteFileTool.insertTextFile(String filePath, String content, Integer lineNumber)	Insert content at the specified line number in a text file.
reactor.core.publisher.Mono<ToolResultBlock>	ReadFileTool.listDirectory(String dirPath)	List files and directories in the specified directory.
reactor.core.publisher.Mono<ToolResultBlock>	ReadFileTool.viewTextFile(String filePath, String ranges)	View the file content in the specified range with line numbers.
reactor.core.publisher.Mono<ToolResultBlock>	WriteFileTool.writeTextFile(String filePath, String content, String ranges)	Create/Replace/Overwrite content in a text file.

io.agentscope.core.tool.multimodal中Tool的使用

批注类型为Tool的io.agentscope.core.tool.multimodal中的方法

修饰符和类型	方法	说明
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeAudioToText(String audioUrl, String model, Integer sampleRate)	Convert the given audio to text.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeFirstAndLastFrameImageToVideo(String prompt, String model, String firstFrameUrl, String lastFrameUrl, String negativePrompt, String template, String resolution, Boolean promptExtend, Boolean watermark, Integer seed)	Generate video transitioning from a first frame to a last frame and an optional text prompt.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeImageToText(List<String> imageUrls, String prompt, String model)	Generate text based on the given images.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeImageToVideo(String prompt, String model, String imageUrl, String audioUrl, String negativePrompt, String template, String resolution, Integer duration, String shotType, Boolean audio, Boolean promptExtend, Boolean watermark, Integer seed)	Generate a video based on a single input image (first frame) and an optional text prompt.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeTextToAudio(String text, String model, String voice, String language, Integer sampleRate)	Convert the given text to audio.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeTextToImage(String prompt, String model, Integer n, String size, Boolean useBase64)	Generate image(s) based on the given prompt, and return image url(s) or base64 data.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeTextToVideo(String prompt, String model, String negativePrompt, String audioUrl, String size, Integer duration, String shotType, Boolean promptExtend, Boolean watermark, Integer seed)	Generate video based on the given prompt.
reactor.core.publisher.Mono<ToolResultBlock>	DashScopeMultiModalTool.dashscopeVideoToText(String videoUrl, String prompt, String model, Double fps)	Analyze video and generate a text description or answer questions based on the video content.
reactor.core.publisher.Mono<ToolResultBlock>	OpenAIMultiModalTool.openaiAudioToText(String audioUrl, String model, String language, String prompt, String responseFormat, Double temperature)	Convert audio to text (transcription) using OpenAI Whisper models.
reactor.core.publisher.Mono<ToolResultBlock>	OpenAIMultiModalTool.openaiImageToText(String imageUrls, String prompt, String model, Integer maxTokens)	Convert image(s) to text using vision models.
reactor.core.publisher.Mono<ToolResultBlock>	OpenAIMultiModalTool.openaiTextToAudio(String text, String model, String voice, String responseFormat, Double speed)	Convert text to audio (speech) using OpenAI TTS models.
reactor.core.publisher.Mono<ToolResultBlock>	OpenAIMultiModalTool.openaiTextToImage(String prompt, String model, Integer n, String size, String quality, String responseFormat)	Generate image(s) based on the given prompt.