View a markdown version of this page

Contoh Referensi API Interpreter Kode - Batuan Dasar Amazon AgentCore
Eksekusi KodePerintah TerminalManajemen File

Contoh Referensi API Interpreter Kode

Bagian ini memberikan contoh referensi untuk operasi Code Interpreter umum menggunakan pendekatan yang berbeda. Setiap contoh menunjukkan cara melakukan operasi yang sama menggunakan AWS CLI, Boto3 SDK, dan panggilan API langsung.

Eksekusi Kode

Contoh-contoh ini menunjukkan cara mengeksekusi kode dalam sesi Code Interpreter.

contoh
Boto3

  1. params = {
      "language": "python",
      "code": "print(\"Hello, world!\")"
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "executeCode",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "executeCode",
    "arguments": {
      "language": "python",
      "code": "print(\"Hello, world!\")"
    }
  }'

Perintah Terminal

Contoh-contoh ini menunjukkan bagaimana menjalankan perintah terminal dalam sesi Code Interpreter.

Jalankan Perintah

contoh
Boto3

  1. params = {
      "command": "ls -l"
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "executeCommand",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "executeCommand",
    "arguments": {
      "command": "ls -l"
    }
  }'

Mulai Eksekusi Perintah

contoh
Boto3

  1. params = {
      "command": "sleep 15 && echo Task completed successfully"
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "startCommandExecution",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "startCommandExecution",
    "arguments": {
      "command": "sleep 15 && echo Task completed successfully"
    }
  }'

Dapatkan Tugas

contoh
Boto3

  1. params = {
      "taskId": "<your-task-id>"
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "getTask",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "getTask",
    "arguments": {
      "taskId": "<your-task-id>"
    }
  }'

Hentikan Tugas Eksekusi Perintah

contoh
Boto3

  1. params = {
      "taskId": "<your-task-id>"
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "stopTask",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "stopTask",
    "arguments": {
      "taskId": "<your-task-id>"
    }
  }'

Manajemen File

Contoh-contoh ini menunjukkan cara mengelola file dalam sesi Code Interpreter.

Tulis File

contoh
Boto3

  1. params = {
        "content": [{"path": "dir1/samename.txt", "text": "File in dir1"}]
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "writeFiles",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "writeFiles",
    "arguments": {
      "content": [{"path": "dir1/samename.txt", "text": "File in dir1"}]
    }
  }'

Baca File

contoh
Boto3

  1. params = {
      "paths": ["tmp.txt"]
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "readFiles",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "readFiles",
    "arguments": {
      "paths": ["tmp.txt"]
    }
  }'

Hapus File

contoh
Boto3

  1. params = {
      "paths": ["tmp.txt"]
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "removeFiles",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "removeFiles",
    "arguments": {
      "paths": ["tmp.txt"]
    }
  }'

Daftar Berkas

contoh
Boto3

  1. params = {
      "directoryPath": ""
    }

client.invoke_code_interpreter(
    **{
        "codeInterpreterIdentifier": "aws.codeinterpreter.v1",
        "sessionId": "<your-session-id>",
        "name": "listFiles",
        "arguments": params
    })
API

  1. # Using awscurl
awscurl -X POST \
  "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "x-amzn-code-interpreter-session-id: your-session-id" \
  --service bedrock-agentcore \
  --region <Region> \
  -d '{
    "name": "listFiles",
    "arguments": {
      "directoryPath": ""
    }
  }'