AI智能体开发最佳实践指南#

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public class ChatAgent implements Agent {
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    private final AnthropicClient client;
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    public ChatAgent() {
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        this.client = new AnthropicClient(AIConstants.API_KEY);
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    }
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    @Override
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    public String execute(String request) {
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        Message message = new Message(
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            AIConstants.MODEL,
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            List.of(new ContentBlock("text", request))
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        );
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        return client.sendMessage(message);
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    }
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}

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public class ReadAgent implements Agent {
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    @Override
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    public String execute(String request) {
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        try {
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            Path path = Paths.get(request);
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            StringBuilder content = new StringBuilder();
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            // 读取文件内容并添加行号
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            List<String> lines = Files.readAllLines(path, StandardCharsets.UTF_8);
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            for (int i = 0; i < lines.size(); i++) {
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                content.append(String.format("%d: %s\n", i + 1, lines.get(i)));
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            }
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            return content.toString();
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        } catch (IOException e) {
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            return "Error reading file: " + e.getMessage();
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        }
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    }
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}

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public class BashAgent implements Agent {
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    @Override
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    public String execute(String command) {
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        try {
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            Process process = Runtime.getRuntime().exec(command);
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            // 读取标准输出
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            try (BufferedReader reader = new BufferedReader(
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                    new InputStreamReader(process.getInputStream(), StandardCharsets.UTF_8))) {
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                StringBuilder output = new StringBuilder();
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                String line;
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                while ((line = reader.readLine()) != null) {
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                    output.append(line).append("\n");
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                }
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                return output.toString();
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            }
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        } catch (IOException e) {
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            return "Error executing command: " + e.getMessage();
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        }
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    }
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}