`getPlot` tool throws error with Claude Sonnet models

[wch]

System details:

Positron and OS details:

Positron Version: 2025.05.0 (Universal) build 140 Code - OSS Version: 1.99.0 Commit: 0b10f4cb8cc0e3be14f36b82d05a4c401e6421ab Date: 2025-05-01T18:09:16.824Z Electron: 34.3.2 Chromium: 132.0.6834.210 Node.js: 20.18.3 V8: 13.2.152.41-electron.0 OS: Darwin arm64 24.4.0

Interpreter details:

R 4.4.2

Describe the issue:

The getPlot tool throws an error when used by Claude models.

Steps to reproduce the issue:

1. In the R console, make a plot, like plot(1:5)
2. Open the Chat panel
3. Select Claude 3.5 Sonnet v2
4. Ask it "What do you see in the plot?"
5. It displays an error:

   400 {"type":"error","error":{"type":"invalid_request_error","message":"messages.10.content.0.tool_result.content.0.image.source.base64: invalid base64 data"}}
   

[austin3dickey]

I can reproduce on 2025.05.0-125 as well. Thanks!

[wch]

I think this might be the result of a bug in the Anthropic API, or at least their TypeScript SDK.

I seemed to get this error randomly, so I saved an image that succeeded, and a couple that failed. Then I made the requests using the Anthropic SDK directly. Here is the test script. Note that it contains three base64-encoded PNG files, so those lines of text are quite long.

Click to see code

/*
 * This is a script to test sending images as tool call results to the Anthropic
 * API.
 *
 * This script contains three base64-encoded images. First it will write all of
 * these images to disk as `image-0.png`, `image-1.png`, and `image-2.png`. Then
 * it will send each of them to the Anthropic API, inserting the image as the
 * result of a tool call, and it will print the response for each.
 *
 * The request with the first image succeeds, but the request with the other two
 * fail. In terms of file size, the image that succeds is in the middle.
 *
 * To run the script, first create a file called `.env` with the following
 * contents:
 *   ANTHROPIC_API_KEY=<your-api-key>
 *
 * Then run:
 *   npx tsx --env-file=.env test.ts
 */

import { Anthropic } from "@anthropic-ai/sdk";
import * as fs from "fs";
import * as path from "path";

const imagesBase64 = [
  "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",
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",
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",
];

/**
 * Decodes a base64 string and saves it to disk.
 * @param base64String The base64 encoded string to decode
 * @param outputPath The path where the decoded file should be saved
 */
function saveBase64ToFile(base64String: string, outputPath: string): void {
  // Decode the base64 string to a buffer
  const fileBuffer = Buffer.from(base64String, "base64");

  // Ensure the directory exists
  const directory = path.dirname(outputPath);
  fs.mkdirSync(directory, { recursive: true });

  // Write the buffer to the file
  fs.writeFileSync(outputPath, fileBuffer);
  console.log(`Saved to ${outputPath}`);
}

// Save the files to disk.
imagesBase64.forEach((imageBase64, index) => {
  saveBase64ToFile(imageBase64, `image-${index}.png`);
});

const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY,
});

async function sendRequest(imageBase64: string) {
  const response = await anthropic.messages.create({
    model: "claude-3-7-sonnet-latest",
    max_tokens: 1024,
    tools: [
      {
        name: "getPlot",
        description: "View the current active plot if one exists.",
        input_schema: {
          type: "object",
        },
      },
    ],
    messages: [
      {
        role: "user",
        content: "Look at the current plot. What do you see?.",
      },
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "I'll check if there's a plot currently available for us to view.",
          },
          {
            type: "tool_use",
            id: "toolu_01CdBSow9qwZQbMs7t55aqDC",
            name: "getPlot",
            input: {},
          },
        ],
      },
      {
        role: "user",
        content: [
          {
            type: "tool_result",
            tool_use_id: "toolu_01CdBSow9qwZQbMs7t55aqDC",
            content: [
              {
                type: "image",
                source: {
                  type: "base64",
                  media_type: "image/png",
                  data: imageBase64,
                },
              },
            ],
          },
          {
            type: "text",
            text: "This is the plot.",
          },
        ],
      },
    ],
  });

  console.log(JSON.stringify(response, undefined, 2));
}

async function main() {
  for (const imageBase64 of imagesBase64) {
    try {
      console.log(
        "\n\n===============================================================================\n" +
          `Sending request for image ${imagesBase64.indexOf(imageBase64)}\n` +
          "==============================================================================="
      );
      await sendRequest(imageBase64);
    } catch (error) {
      console.error(error);
    }
  }
}

main();

To run it, first make sure you have a .env file with:

ANTHROPIC_API_KEY=<your-api-key>

Then run:

npx tsx --env-file=.env test.ts

The first request will succeed, and the other two will fail. I don't know why. In terms of file size, the image that succeeds is in the middle of the three. They all are able to be decoded from base64 to binary -- this script writes them to disk as .png files, and I'm able to view those files just fine.

Saved to image-0.png
Saved to image-1.png
Saved to image-2.png

===============================================================================
Sending request for image 0
===============================================================================
{
  "id": "msg_015vHLFM8ysZuHbi9HPPGdCf",
  "type": "message",
  "role": "assistant",
  "model": "claude-3-7-sonnet-latest",
  "content": [
    {
      "type": "text",
      "text": "Yes, I can see the plot now. This is a scatter plot showing what appears to be randomly generated data points using the \"rnorm\" function (which generates random numbers from a normal distribution).\n\nSpecifically:\n- The plot shows approximately 50 data points, as indicated by \"rnorm(50)\" on both axes\n- The x-axis shows values of rnorm(50) ranging roughly from -2 to 2\n- The y-axis also shows values of rnorm(50) with a similar range from about -2 to 2\n- The data points are displayed as light blue/cyan-colored circles\n- The points appear to be randomly scattered with no clear pattern, which is consistent with data generated from a normal distribution\n\nThis suggests that the plot is showing the relationship between two sets of randomly generated normal data, possibly to demonstrate what uncorrelated random variables look like when plotted against each other."
    }
  ],
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 978,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "output_tokens": 201
  }
}

===============================================================================
Sending request for image 1
===============================================================================
BadRequestError: 400 {"type":"error","error":{"type":"invalid_request_error","message":"messages.2.content.0.tool_result.content.0.image.source.base64: invalid base64 data"}}
    at Function.generate (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/core/error.ts:63:14)
    at Anthropic.makeStatusError (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/client.ts:394:28)
    at Anthropic.makeRequest (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/client.ts:622:24)
    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
    at async sendRequest (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/test.ts:58:20)
    at async main (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/test.ts:127:7) {
  status: 400,
  headers: Headers {
    date: 'Thu, 15 May 2025 03:10:13 GMT',
    'content-type': 'application/json',
    'content-length': '153',
    connection: 'keep-alive',
    'x-should-retry': 'false',
    'request-id': 'req_011CP8ahvdvqGJv91csh9174',
    'strict-transport-security': 'max-age=31536000; includeSubDomains; preload',
    'anthropic-organization-id': '5367cc48-7960-496e-992a-dba1e4d05b42',
    via: '1.1 google',
    'cf-cache-status': 'DYNAMIC',
    'x-robots-tag': 'none',
    server: 'cloudflare',
    'cf-ray': '93ff70e2ef9ffc89-MSP'
  },
  requestID: 'req_011CP8ahvdvqGJv91csh9174',
  error: {
    type: 'error',
    error: {
      type: 'invalid_request_error',
      message: 'messages.2.content.0.tool_result.content.0.image.source.base64: invalid base64 data'
    }
  }
}


===============================================================================
Sending request for image 2
===============================================================================
BadRequestError: 400 {"type":"error","error":{"type":"invalid_request_error","message":"messages.2.content.0.tool_result.content.0.image.source.base64: invalid base64 data"}}
    at Function.generate (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/core/error.ts:63:14)
    at Anthropic.makeStatusError (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/client.ts:394:28)
    at Anthropic.makeRequest (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/node_modules/@anthropic-ai/sdk/src/client.ts:622:24)
    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
    at async sendRequest (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/test.ts:58:20)
    at async main (/Users/winston/Library/CloudStorage/Dropbox/Projects/databot/test.ts:127:7) {
  status: 400,
  headers: Headers {
    date: 'Thu, 15 May 2025 03:10:13 GMT',
    'content-type': 'application/json',
    'content-length': '153',
    connection: 'keep-alive',
    'x-should-retry': 'false',
    'request-id': 'req_011CP8ahw5Dr2qmGCtZ9dYhg',
    'strict-transport-security': 'max-age=31536000; includeSubDomains; preload',
    'anthropic-organization-id': '5367cc48-7960-496e-992a-dba1e4d05b42',
    via: '1.1 google',
    'cf-cache-status': 'DYNAMIC',
    'x-robots-tag': 'none',
    server: 'cloudflare',
    'cf-ray': '93ff70e37c00a1f5-MSP'
  },
  requestID: 'req_011CP8ahw5Dr2qmGCtZ9dYhg',
  error: {
    type: 'error',
    error: {
      type: 'invalid_request_error',
      message: 'messages.2.content.0.tool_result.content.0.image.source.base64: invalid base64 data'
    }
  }
}

[wch]

I think I figured out the problem: it's that their API requires that the base64 string is strict base64, where the string must be padded out to a multiple of 4 characters in length with trailing = characters.

Wrapping the base64 string with this function before sending it seems to make the errors go away:

 function padBase64(base64: string): string {
  const remainder = base64.length % 4;
  if (remainder === 0) {
    return base64; // No padding needed
  } else {
    return base64 + "=".repeat(4 - remainder);
  }
}

The positron.ai.getCurrentPlotUri() function returns a string that includes a mime type and base64-encoded string. That base64-encoded string is not always a multiple of 4 in length. I think it would make sense to:

• Change positron.ai.getCurrentPlotUri() so it returns a base64 string that is a multiple of 4 in length, and:
• Modify the code for sending images to LLMs so that base64 strings get converted to strict-mode base64 strings. This involves ensuring there's correct padding, and removing whitespace characters.

[timtmok]

Note: I'm able to reproduce but only with the Anthropic provider. Using Claude through Bedrock did not reproduce the issue.

[rodrigosf672]

@wch I can still see the error. R version is 4.5.0.

[timtmok]

@rodrigosf672 Which model were you using? I couldn't reproduce with Claude 3.5 Sonnet v2 on build 2025.07.0-99

[rodrigosf672]

@rodrigosf672 Which model were you using? I couldn't reproduce with Claude 3.5 Sonnet v2 on build 2025.07.0-99

Claude 3.5 Sonnet v2 as well.

[rodrigosf672]

@timtmok I attempted to verify again using Claude 3.5 Sonnet v2 in Positron 2025.07.0 (Universal) build 112, and it works now. Not sure why it still fails in build 99, but it's all good in build 112.

[rodrigosf672]

Verified Fixed

Positron Version(s) : Positron 2025.07.0 (Universal) build 112
OS Version          : Sequoia 15.5

Test scenario(s)

Creating a plot using getPlot in R console and then asking Positron Assistant about the plot works, with NO errors appearing.