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refactor: Standardize configuration and environment variable access

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This commit centralizes configuration and environment variable access across various modules by consistently utilizing getters from scripts/modules/config-manager.js. This replaces direct access to process.env and the global CONFIG object, leading to improved consistency, maintainability, testability, and better handling of session-specific configurations within the MCP context.

Key changes include:

- Centralized Getters: Replaced numerous instances of process.env.* and CONFIG.* with corresponding getter functions (e.g., getLogLevel, getMainModelId, getResearchMaxTokens, getMainTemperature, isApiKeySet, getDebugFlag, getDefaultSubtasks).

- Session Awareness: Ensured that the session object is passed to config getters where necessary, particularly within AI service calls (ai-services.js, add-task.js) and error handling (ai-services.js), allowing for session-specific environment overrides.

- API Key Checks: Standardized API key availability checks using isApiKeySet() instead of directly checking process.env.* (e.g., for Perplexity in commands.js and ai-services.js).

- Client Instantiation Cleanup: Removed now-redundant/obsolete local client instantiation functions (getAnthropicClient, getPerplexityClient) from ai-services.js and the global Anthropic client initialization from dependency-manager.js. Client creation should now rely on the config manager and factory patterns.

- Consistent Debug Flag Usage: Standardized calls to getDebugFlag() in commands.js, removing potentially unnecessary null arguments.

- Accurate Progress Calculation: Updated AI stream progress reporting (ai-services.js, add-task.js) to use getMainMaxTokens(session) for more accurate calculations.

- Minor Cleanup: Removed unused  import from scripts/modules/commands.js.

Specific module updates:

- :

  - Uses getLogLevel() instead of process.env.LOG_LEVEL.

- :

  - Replaced direct env/config access for model IDs, tokens, temperature, API keys, and default subtasks with appropriate getters.

  - Passed session to handleClaudeError.

  - Removed local getPerplexityClient and getAnthropicClient functions.

  - Updated progress calculations to use getMainMaxTokens(session).

- :

  - Uses isApiKeySet('perplexity') for API key checks.

  - Uses getDebugFlag() consistently for debug checks.

  - Removed unused  import.

- :

  - Removed global Anthropic client initialization.

- :

  - Uses config getters (getResearch..., getMain...) for Perplexity and Claude API call parameters, preserving customEnv override logic.

This refactoring also resolves a potential SyntaxError: Identifier 'getPerplexityClient' has already been declared by removing the duplicated/obsolete function definition previously present in ai-services.js.
This commit is contained in:
Eyal Toledano
2025-04-21 21:30:12 -04:00
parent d46547a80f
commit 4a9f6cd5f5
13 changed files with 284 additions and 238 deletions
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44
scripts/modules/task-manager/add-task.js
View File

@@ -11,7 +11,15 @@ import {
} from '../ui.js';
import { log, readJSON, writeJSON, truncate } from '../utils.js';
import { _handleAnthropicStream } from '../ai-services.js';
import { getDefaultPriority } from '../config-manager.js';
import {
getDefaultPriority,
getResearchModelId,
getResearchTemperature,
getResearchMaxTokens,
getMainModelId,
getMainTemperature,
getMainMaxTokens
} from '../config-manager.js';
/**
* Add a new task using AI
@@ -183,46 +191,26 @@ async function addTask(
if (modelType === 'perplexity') {
// Use Perplexity AI
const perplexityModel =
process.env.PERPLEXITY_MODEL ||
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro';
const response = await client.chat.completions.create({
model: perplexityModel,
model: getResearchModelId(session),
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userPrompt }
],
temperature: parseFloat(
process.env.TEMPERATURE ||
session?.env?.TEMPERATURE ||
CONFIG.temperature
),
max_tokens: parseInt(
process.env.MAX_TOKENS ||
session?.env?.MAX_TOKENS ||
CONFIG.maxTokens
)
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session)
});
const responseText = response.choices[0].message.content;
aiGeneratedTaskData = parseTaskJsonResponse(responseText);
} else {
// Use Claude (default)
// Prepare API parameters
// Prepare API parameters using getters, preserving customEnv override
const apiParams = {
model:
session?.env?.ANTHROPIC_MODEL ||
CONFIG.model ||
customEnv?.ANTHROPIC_MODEL,
max_tokens:
session?.env?.MAX_TOKENS ||
CONFIG.maxTokens ||
customEnv?.MAX_TOKENS,
model: customEnv?.ANTHROPIC_MODEL || getMainModelId(session),
max_tokens: customEnv?.MAX_TOKENS || getMainMaxTokens(session),
temperature:
session?.env?.TEMPERATURE ||
CONFIG.temperature ||
customEnv?.TEMPERATURE,
customEnv?.TEMPERATURE || getMainTemperature(session),
system: systemPrompt,
messages: [{ role: 'user', content: userPrompt }]
};

133
scripts/modules/task-manager/analyze-task-complexity.js
View File

@@ -8,7 +8,17 @@ import { startLoadingIndicator, stopLoadingIndicator } from '../ui.js';
import { generateComplexityAnalysisPrompt } from '../ai-services.js';
import { getDebugFlag } from '../config-manager.js';
import {
getDebugFlag,
getProjectName,
getMainModelId,
getMainMaxTokens,
getMainTemperature,
getResearchModelId,
getResearchMaxTokens,
getResearchTemperature,
getDefaultSubtasks
} from '../config-manager.js';
/**
* Analyzes task complexity and generates expansion recommendations
@@ -127,6 +137,83 @@ async function analyzeTaskComplexity(
}
}
// If after filtering, there are no tasks left to analyze, exit early.
if (tasksData.tasks.length === 0) {
const emptyReport = {
meta: {
generatedAt: new Date().toISOString(),
tasksAnalyzed: tasksData.tasks.length,
thresholdScore: thresholdScore,
projectName: getProjectName(session),
usedResearch: useResearch
},
complexityAnalysis: []
};
// Write the report to file
reportLog(`Writing complexity report to ${outputPath}...`, 'info');
writeJSON(outputPath, emptyReport);
reportLog(
`Task complexity analysis complete. Report written to ${outputPath}`,
'success'
);
// Only show UI elements for text output (CLI)
if (outputFormat === 'text') {
console.log(
chalk.green(
`Task complexity analysis complete. Report written to ${outputPath}`
)
);
// Display a summary of findings
const highComplexity = emptyReport.complexityAnalysis.filter(
(t) => t.complexityScore >= 8
).length;
const mediumComplexity = emptyReport.complexityAnalysis.filter(
(t) => t.complexityScore >= 5 && t.complexityScore < 8
).length;
const lowComplexity = emptyReport.complexityAnalysis.filter(
(t) => t.complexityScore < 5
).length;
const totalAnalyzed = emptyReport.complexityAnalysis.length;
console.log('\nComplexity Analysis Summary:');
console.log('----------------------------');
console.log(`Tasks in input file: ${tasksData.tasks.length}`);
console.log(`Tasks successfully analyzed: ${totalAnalyzed}`);
console.log(`High complexity tasks: ${highComplexity}`);
console.log(`Medium complexity tasks: ${mediumComplexity}`);
console.log(`Low complexity tasks: ${lowComplexity}`);
console.log(
`Sum verification: ${highComplexity + mediumComplexity + lowComplexity} (should equal ${totalAnalyzed})`
);
console.log(`Research-backed analysis: ${useResearch ? 'Yes' : 'No'}`);
console.log(
`\nSee ${outputPath} for the full report and expansion commands.`
);
// Show next steps suggestions
console.log(
boxen(
chalk.white.bold('Suggested Next Steps:') +
'\n\n' +
`${chalk.cyan('1.')} Run ${chalk.yellow('task-master complexity-report')} to review detailed findings\n` +
`${chalk.cyan('2.')} Run ${chalk.yellow('task-master expand --id=<id>')} to break down complex tasks\n` +
`${chalk.cyan('3.')} Run ${chalk.yellow('task-master expand --all')} to expand all pending tasks based on complexity`,
{
padding: 1,
borderColor: 'cyan',
borderStyle: 'round',
margin: { top: 1 }
}
)
);
}
return emptyReport;
}
// Prepare the prompt for the LLM
const prompt = generateComplexityAnalysisPrompt(tasksData);
@@ -183,11 +270,9 @@ Your response must be a clean JSON array only, following exactly this format:
DO NOT include any text before or after the JSON array. No explanations, no markdown formatting.`;
// Keep the direct AI call for now, use config getters for parameters
const result = await perplexity.chat.completions.create({
model:
process.env.PERPLEXITY_MODEL ||
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro',
model: getResearchModelId(session),
messages: [
{
role: 'system',
@@ -199,8 +284,8 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
content: researchPrompt
}
],
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
max_tokens: 8700,
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session),
web_search_options: {
search_context_size: 'high'
},
@@ -236,6 +321,12 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
console.log(chalk.gray('Response first 200 chars:'));
console.log(chalk.gray(fullResponse.substring(0, 200)));
}
if (getDebugFlag(session)) {
console.debug(
chalk.gray(`Raw response: ${fullResponse.substring(0, 500)}...`)
);
}
} catch (perplexityError) {
reportLog(
`Falling back to Claude for complexity analysis: ${perplexityError.message}`,
@@ -287,12 +378,11 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
);
}
// Call the LLM API with streaming
// Keep the direct AI call for now, use config getters for parameters
const stream = await anthropic.messages.create({
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens,
model:
modelOverride || CONFIG.model || session?.env?.ANTHROPIC_MODEL,
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
max_tokens: getMainMaxTokens(session),
model: modelOverride || getMainModelId(session),
temperature: getMainTemperature(session),
messages: [{ role: 'user', content: prompt }],
system:
'You are an expert software architect and project manager analyzing task complexity. Respond only with valid JSON.',
@@ -318,12 +408,13 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
}
if (reportProgress) {
await reportProgress({
progress: (fullResponse.length / CONFIG.maxTokens) * 100
progress:
(fullResponse.length / getMainMaxTokens(session)) * 100
});
}
if (mcpLog) {
mcpLog.info(
`Progress: ${(fullResponse.length / CONFIG.maxTokens) * 100}%`
`Progress: ${(fullResponse.length / getMainMaxTokens(session)) * 100}%`
);
}
}
@@ -797,7 +888,7 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
generatedAt: new Date().toISOString(),
tasksAnalyzed: tasksData.tasks.length,
thresholdScore: thresholdScore,
projectName: tasksData.meta?.projectName || 'Your Project Name',
projectName: getProjectName(session),
usedResearch: useResearch
},
complexityAnalysis: complexityAnalysis
@@ -865,6 +956,12 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
}
)
);
if (getDebugFlag(session)) {
console.debug(
chalk.gray(`Raw response: ${fullResponse.substring(0, 500)}...`)
);
}
}
return finalReport;
@@ -885,8 +982,7 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
console.error(
chalk.red(`Error parsing complexity analysis: ${error.message}`)
);
if (getDebugFlag()) {
// Use getter
if (getDebugFlag(session)) {
console.debug(
chalk.gray(`Raw response: ${fullResponse.substring(0, 500)}...`)
);
@@ -931,8 +1027,7 @@ DO NOT include any text before or after the JSON array. No explanations, no mark
);
}
if (getDebugFlag()) {
// Use getter
if (getDebugFlag(session)) {
console.error(error);
}

15
scripts/modules/task-manager/expand-task.js
View File

@@ -12,7 +12,12 @@ import {
parseSubtasksFromText
} from '../ai-services.js';
import { getDefaultSubtasks } from '../config-manager.js';
import {
getDefaultSubtasks,
getMainModelId,
getMainMaxTokens,
getMainTemperature
} from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
/**
@@ -207,11 +212,11 @@ Return exactly ${subtaskCount} subtasks with the following JSON structure:
Note on dependencies: Subtasks can depend on other subtasks with lower IDs. Use an empty array if there are no dependencies.`;
// Prepare API parameters
// Prepare API parameters using getters
const apiParams = {
model: session?.env?.ANTHROPIC_MODEL || CONFIG.model,
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens,
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
model: getMainModelId(session),
max_tokens: getMainMaxTokens(session),
temperature: getMainTemperature(session),
system: systemPrompt,
messages: [{ role: 'user', content: userPrompt }]
};

25
scripts/modules/task-manager/get-subtasks-from-ai.js
View File

@@ -6,6 +6,16 @@ import {
parseSubtasksFromText
} from '../ai-services.js';
// Import necessary config getters
import {
getMainModelId,
getMainMaxTokens,
getMainTemperature,
getResearchModelId,
getResearchMaxTokens,
getResearchTemperature
} from '../config-manager.js';
/**
* Call AI to generate subtasks based on a prompt
* @param {string} prompt - The prompt to send to the AI
@@ -26,9 +36,9 @@ async function getSubtasksFromAI(
// Prepare API parameters
const apiParams = {
model: session?.env?.ANTHROPIC_MODEL || CONFIG.model,
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens,
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
model: getMainModelId(session),
max_tokens: getMainMaxTokens(session),
temperature: getMainTemperature(session),
system:
'You are an AI assistant helping with task breakdown for software development.',
messages: [{ role: 'user', content: prompt }]
@@ -46,10 +56,7 @@ async function getSubtasksFromAI(
mcpLog.info('Using Perplexity AI for research-backed subtasks');
}
const perplexityModel =
process.env.PERPLEXITY_MODEL ||
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro';
const perplexityModel = getResearchModelId(session);
const result = await perplexity.chat.completions.create({
model: perplexityModel,
messages: [
@@ -60,8 +67,8 @@ async function getSubtasksFromAI(
},
{ role: 'user', content: prompt }
],
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session)
});
responseText = result.choices[0].message.content;

3
scripts/modules/task-manager/set-task-status.js
View File

@@ -97,7 +97,8 @@ async function setTaskStatus(tasksPath, taskIdInput, newStatus, options = {}) {
if (!options?.mcpLog) {
console.error(chalk.red(`Error: ${error.message}`));
if (getDebugFlag()) {
// Pass session to getDebugFlag
if (getDebugFlag(options?.session)) {
// Use getter
console.error(error);
}

44
scripts/modules/task-manager/update-subtask-by-id.js
View File

@@ -11,7 +11,15 @@ import {
} from '../ui.js';
import { log, readJSON, writeJSON, truncate, isSilentMode } from '../utils.js';
import { getAvailableAIModel } from '../ai-services.js';
import { getDebugFlag } from '../config-manager.js';
import {
getDebugFlag,
getMainModelId,
getMainMaxTokens,
getMainTemperature,
getResearchModelId,
getResearchMaxTokens,
getResearchTemperature
} from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
/**
@@ -231,26 +239,15 @@ Provide concrete examples, code snippets, or implementation details when relevan
if (modelType === 'perplexity') {
// Construct Perplexity payload
const perplexityModel =
process.env.PERPLEXITY_MODEL ||
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro';
const perplexityModel = getResearchModelId(session);
const response = await client.chat.completions.create({
model: perplexityModel,
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userMessageContent }
],
temperature: parseFloat(
process.env.TEMPERATURE ||
session?.env?.TEMPERATURE ||
CONFIG.temperature
),
max_tokens: parseInt(
process.env.MAX_TOKENS ||
session?.env?.MAX_TOKENS ||
CONFIG.maxTokens
)
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session)
});
additionalInformation = response.choices[0].message.content.trim();
} else {
@@ -272,11 +269,11 @@ Provide concrete examples, code snippets, or implementation details when relevan
}, 500);
}
// Construct Claude payload
// Construct Claude payload using config getters
const stream = await client.messages.create({
model: CONFIG.model,
max_tokens: CONFIG.maxTokens,
temperature: CONFIG.temperature,
model: getMainModelId(session),
max_tokens: getMainMaxTokens(session),
temperature: getMainTemperature(session),
system: systemPrompt,
messages: [{ role: 'user', content: userMessageContent }],
stream: true
@@ -288,12 +285,13 @@ Provide concrete examples, code snippets, or implementation details when relevan
}
if (reportProgress) {
await reportProgress({
progress: (responseText.length / CONFIG.maxTokens) * 100
progress:
(responseText.length / getMainMaxTokens(session)) * 100
});
}
if (mcpLog) {
mcpLog.info(
`Progress: ${(responseText.length / CONFIG.maxTokens) * 100}%`
`Progress: ${(responseText.length / getMainMaxTokens(session)) * 100}%`
);
}
}
@@ -540,7 +538,7 @@ Provide concrete examples, code snippets, or implementation details when relevan
' 1. Set your Perplexity API key: export PERPLEXITY_API_KEY=your_api_key_here'
);
console.log(
' 2. Or run without the research flag: task-master update-subtask --id=<id> --prompt=\"...\"'
' 2. Or run without the research flag: task-master update-subtask --id=<id> --prompt="..."'
);
} else if (error.message?.includes('overloaded')) {
// Catch final overload error
@@ -568,7 +566,7 @@ Provide concrete examples, code snippets, or implementation details when relevan
);
}
if (getDebugFlag()) {
if (getDebugFlag(session)) {
// Use getter
console.error(error);
}

45
scripts/modules/task-manager/update-task-by-id.js
View File

@@ -13,7 +13,16 @@ import {
} from '../ui.js';
import { _handleAnthropicStream } from '../ai-services.js';
import { getDebugFlag } from '../config-manager.js';
import {
getDebugFlag,
getMainModelId,
getMainMaxTokens,
getMainTemperature,
getResearchModelId,
getResearchMaxTokens,
getResearchTemperature,
isApiKeySet
} from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
/**
@@ -64,15 +73,10 @@ async function updateTaskById(
);
}
// Validate research flag
if (
useResearch &&
(!perplexity ||
!process.env.PERPLEXITY_API_KEY ||
session?.env?.PERPLEXITY_API_KEY)
) {
// Validate research flag and API key
if (useResearch && !isApiKeySet('perplexity', session)) {
report(
'Perplexity AI is not available. Falling back to Claude AI.',
'Perplexity AI research requested but API key is not set. Falling back to main AI.',
'warn'
);
@@ -274,7 +278,7 @@ The changes described in the prompt should be thoughtfully applied to make the t
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro';
const result = await client.chat.completions.create({
model: perplexityModel,
model: getResearchModelId(session),
messages: [
{
role: 'system',
@@ -293,12 +297,8 @@ IMPORTANT: In the task JSON above, any subtasks with "status": "done" or "status
Return only the updated task as a valid JSON object.`
}
],
temperature: parseFloat(
process.env.TEMPERATURE ||
session?.env?.TEMPERATURE ||
CONFIG.temperature
),
max_tokens: 8700
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session)
});
const responseText = result.choices[0].message.content;
@@ -343,9 +343,9 @@ Return only the updated task as a valid JSON object.`
// Use streaming API call
const stream = await client.messages.create({
model: session?.env?.ANTHROPIC_MODEL || CONFIG.model,
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens,
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
model: getMainModelId(session),
max_tokens: getMainMaxTokens(session),
temperature: getMainTemperature(session),
system: systemPrompt,
messages: [
{
@@ -371,12 +371,13 @@ Return only the updated task as a valid JSON object.`
}
if (reportProgress) {
await reportProgress({
progress: (responseText.length / CONFIG.maxTokens) * 100
progress:
(responseText.length / getMainMaxTokens(session)) * 100
});
}
if (mcpLog) {
mcpLog.info(
`Progress: ${(responseText.length / CONFIG.maxTokens) * 100}%`
`Progress: ${(responseText.length / getMainMaxTokens(session)) * 100}%`
);
}
}
@@ -667,7 +668,7 @@ Return only the updated task as a valid JSON object.`
console.log(' 2. Use a valid task ID with the --id parameter');
}
if (getDebugFlag()) {
if (getDebugFlag(session)) {
// Use getter
console.error(error);
}

49
scripts/modules/task-manager/update-tasks.js
View File

@@ -11,7 +11,15 @@ import {
stopLoadingIndicator
} from '../ui.js';
import { getDebugFlag } from '../config-manager.js';
import {
getDebugFlag,
getResearchModelId,
getResearchTemperature,
getResearchMaxTokens,
getMainModelId,
getMainMaxTokens,
getMainTemperature
} from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
/**
@@ -204,13 +212,9 @@ The changes described in the prompt should be applied to ALL tasks in the list.`
}
if (modelType === 'perplexity') {
// Call Perplexity AI using proper format
const perplexityModel =
process.env.PERPLEXITY_MODEL ||
session?.env?.PERPLEXITY_MODEL ||
'sonar-pro';
// Call Perplexity AI using proper format and getters
const result = await client.chat.completions.create({
model: perplexityModel,
model: getResearchModelId(session),
messages: [
{
role: 'system',
@@ -218,23 +222,11 @@ The changes described in the prompt should be applied to ALL tasks in the list.`
},
{
role: 'user',
content: `Here are the tasks to update:
${taskData}
Please update these tasks based on the following new context:
${prompt}
IMPORTANT: In the tasks JSON above, any subtasks with "status": "done" or "status": "completed" should be preserved exactly as is. Build your changes around these completed items.
Return only the updated tasks as a valid JSON array.`
content: `Here are the tasks to update:\n${taskData}\n\nPlease update these tasks based on the following new context:\n${prompt}\n\nIMPORTANT: In the tasks JSON above, any subtasks with "status": "done" or "status": "completed" should be preserved exactly as is. Build your changes around these completed items.\n\nReturn only the updated tasks as a valid JSON array.`
}
],
temperature: parseFloat(
process.env.TEMPERATURE ||
session?.env?.TEMPERATURE ||
CONFIG.temperature
),
max_tokens: 8700
temperature: getResearchTemperature(session),
max_tokens: getResearchMaxTokens(session)
});
const responseText = result.choices[0].message.content;
@@ -270,11 +262,11 @@ Return only the updated tasks as a valid JSON array.`
}, 500);
}
// Use streaming API call
// Use streaming API call with getters
const stream = await client.messages.create({
model: session?.env?.ANTHROPIC_MODEL || CONFIG.model,
max_tokens: session?.env?.MAX_TOKENS || CONFIG.maxTokens,
temperature: session?.env?.TEMPERATURE || CONFIG.temperature,
model: getMainModelId(session),
max_tokens: getMainMaxTokens(session),
temperature: getMainTemperature(session),
system: systemPrompt,
messages: [
{
@@ -300,12 +292,13 @@ Return only the updated task as a valid JSON object.`
}
if (reportProgress) {
await reportProgress({
progress: (responseText.length / CONFIG.maxTokens) * 100
progress:
(responseText.length / getMainMaxTokens(session)) * 100
});
}
if (mcpLog) {
mcpLog.info(
`Progress: ${(responseText.length / CONFIG.maxTokens) * 100}%`
`Progress: ${(responseText.length / getMainMaxTokens(session)) * 100}%`
);
}
}