langchainjs: DynamicTool is called but the input is not passed in - undefined

I created a Dynamic Tool, it is getting called as expected, but it isn’t receiving the input.

I tried to follow the example here, but it doesn’t show how to pass input: https://js.langchain.com/docs/modules/agents/tools/

Here is the full code to reproduce the issue

import * as dotenv from 'dotenv';
dotenv.config();

import { ChatOpenAI } from 'langchain/chat_models/openai';
import { initializeAgentExecutorWithOptions } from 'langchain/agents';
import { DynamicTool } from 'langchain/tools';
import { inspect } from 'util';

let iteration = 0;

async function jobSearch(query) {
    console.log('jobSearch input:', query);
    return 'Search results: job1, job2, job3';
}

const callbacks = [
    {
        handleLLMStart: async (llm, prompts) => {
            iteration++;
            console.log(`${iteration} LLMStart, llm`, inspect(llm, { depth: null }));
            console.log(`${iteration} LLMStart, prompts`, inspect(prompts, { depth: null }));
        },
        handleLLMEnd: async (output) => {
            console.log(`${iteration} LLMEnd, output`, inspect(output, { depth: null }));
        },
        handleLLMError: async (err) => {
            log.error(`${iteration} LLMError, err`, inspect(err, { depth: null }));
        },
    },
];

export const run = async () => {
    const model = new ChatOpenAI({ temperature: 0, verbose: false, callbacks, modelName: 'gpt-4' });
    const tools = [
        new DynamicTool({
            name: 'jobSearch',
            description: `Useful for finding jobs. The input to this tool is a string containing location, jobTitle, salary and the the output will be a list of jobs that match the query.`,
            func: async (query) => {
                return await jobSearch(query);
            },
        }),
    ];

    const executor = await initializeAgentExecutorWithOptions(tools, model, {
        agentType: 'chat-zero-shot-react-description',
    });

    const input = `Search me test engineer jobs in London`;

    console.log(`Executing with input "${input}"...`);

    const result = await executor.call({ input });

    console.log(`Final answer after ${iteration} iterations:\n`);
    console.log(result.output);
};

run();

Using langchain version 0.0.68 with node v18.16.0.

Example output:

Executing with input "Search me test engineer jobs in London"...
1 LLMStart, llm { name: 'openai' }
1 LLMStart, prompts [
  'System: Answer the following questions as best you can. You have access to the following tools:\n' +
    '\n' +
    'jobSearch: Useful for finding jobs. The input to this tool is a string containing location, jobTitle, salary and the the output will be a list of jobs that match the query.\n' +
    '\n' +
    'The way you use the tools is by specifying a json blob, denoted below by $JSON_BLOB\n' +
    'Specifically, this $JSON_BLOB should have a "action" key (with the name of the tool to use) and a "action_input" key (with the input to the tool going here). \n' +
    'The $JSON_BLOB should only contain a SINGLE action, do NOT return a list of multiple actions. Here is an example of a valid $JSON_BLOB:\n' +
    '\n' +
    '```\n' +
    '{\n' +
    '  "action": "calculator",\n' +
    '  "action_input": "1 + 2"\n' +
    '}\n' +
    '```\n' +
    '\n' +
    'ALWAYS use the following format:\n' +
    '\n' +
    'Question: the input question you must answer\n' +
    'Thought: you should always think about what to do\n' +
    'Action: \n' +
    '```\n' +
    '$JSON_BLOB\n' +
    '```\n' +
    'Observation: the result of the action\n' +
    '... (this Thought/Action/Observation can repeat N times)\n' +
    'Thought: I now know the final answer\n' +
    'Final Answer: the final answer to the original input question\n' +
    '\n' +
    'Begin! Reminder to always use the exact characters `Final Answer` when responding.\n' +
    'Human: Search me test engineer jobs in London\n' +
    '\n'
]
1 LLMEnd, output {
  generations: [
    [
      {
        text: 'Thought: I need to use the jobSearch tool to find test engineer jobs in London.\n' +
          '\n' +
          'Action: \n' +
          '```\n' +
          '{\n' +
          '  "action": "jobSearch",\n' +
          '  "action_input": {\n' +
          '    "location": "London",\n' +
          '    "jobTitle": "test engineer",\n' +
          '    "salary": ""\n' +
          '  }\n' +
          '}\n' +
          '```\n',
        message: AIChatMessage {
          text: 'Thought: I need to use the jobSearch tool to find test engineer jobs in London.\n' +
            '\n' +
            'Action: \n' +
            '```\n' +
            '{\n' +
            '  "action": "jobSearch",\n' +
            '  "action_input": {\n' +
            '    "location": "London",\n' +
            '    "jobTitle": "test engineer",\n' +
            '    "salary": ""\n' +
            '  }\n' +
            '}\n' +
            '```\n',
          name: undefined
        }
      }
    ]
  ],
  llmOutput: {
    tokenUsage: { completionTokens: 64, promptTokens: 295, totalTokens: 359 }
  }
}
jobSearch input: undefined
2 LLMStart, llm { name: 'openai' }

Also see related issue: https://github.com/hwchase17/langchainjs/issues/1114