Summary of Work

The task of reading existing MODX frontend sessions on the haih-agent side has been practically resolved and can be considered complete.

What Has Been Tested

On the new frontend side, it was possible to directly read MODX session data without a MODX bootstrap and without calling the legacy modSociety endpoint. This confirms the architectural feasibility of using MODX as the current session store, while parsing and further data processing are handled within haih-agent.

It also turned out that the main technical issue was not reading the session record from the database, but rather deserializing its PHP session payload in Node.js.

The Issue with php-serialize

php-serialize does not solve the problem directly because the MODX/PHP session in the format used is not simply the result of serialize($_SESSION). Therefore, the library is not suitable as a ready-made session decoder for the current case.

Using php-session-unserialize

To parse the session, the php-session-unserialize package was used. It correctly reads the PHP session format itself, but a library implementation quirk was discovered: PHP associative arrays inside readArray() are always created as JavaScript Arrays.

Essentially, the library does the following:

const resultArray = []
resultArray[key] = value

If a PHP array contains a string key, such as mgr, the result in JavaScript is an array with a named property (arr.mgr = ...). Such data is visible in console.log, but JSON.stringify and GraphQL only serialize indexed array elements, so the named properties are lost.

Practical example: a MODX session value like

modx.user.0.resourceGroups => { mgr: [] }

looked correct in the logs after initial parsing, but via GraphQL it turned into:

"modx.user.0.resourceGroups": []

Implemented Workaround

A recursive normalization of the result was added after unserialize():

function convertArraysToObjects(obj: unknown): unknown {
  if (Array.isArray(obj)) {
    const keys = Object.keys(obj)
    const hasStringKeys = keys.some((k) => isNaN(Number(k)))
    if (hasStringKeys) {
      const result: Record<string, unknown> = {}
      for (const key of keys) {
        result[key] = convertArraysToObjects(
          (obj as unknown as Record<string, unknown>)[key],
        )
      }
      return result
    }
    return obj.map(convertArraysToObjects)
  }
  if (obj && typeof obj === 'object') {
    const result: Record<string, unknown> = {}
    for (const [key, value] of Object.entries(obj)) {
      result[key] = convertArraysToObjects(value)
    }
    return result
  }
  return obj
}

After this, PHP associative arrays with named keys are converted to regular JS objects and pass correctly through JSON/GraphQL.

Result

After normalization, MODX session data is read correctly, including nested structures. In particular, branches such as the following are successfully retrieved:

{
  "modx.user.0.resourceGroups": {
    "mgr": []
  },
  "modx.user.0.attributes": {
    "web": {
      "modAccessContext": {
        "web": [
          {
            "principal": 0,
            "authority": "0",
            "policy": {
              "load": true,
              "formit": true,
              "formit_encryptions": false
            }
          }
        ]
      }
    }
  }
}

Data for other users/contexts, such as modx.user.1.attributes and ACL structures with a large set of manager permissions, are also visible in the session. This means the session payload is now fully available without losses during GraphQL serialization.

Limitations of the Current Solution

Theoretically, the current converter might ambiguously transform a PHP array with mixed numeric and string keys: if at least one string key is present, the entire JS Array turns into an Object. For standard MODX session structures, this is currently not critical; real data required by the project arrives correctly after normalization.

Therefore, at this stage, there is no need to write a custom PHP session parser or fork the library. If a real MODX session payload that the current scheme parses incorrectly is encountered later, it can be spun off into a separate technical task.

Scope of Completed Task

The goal of this task was specifically to prove the feasibility of reading and correctly deserializing an existing MODX frontend session on the haih-agent side. This goal has been achieved.

The logic for determining the specific current user based on session contents, selecting the required frontend context, retrieving additional user data, and subsequently building the auth/currentUser API constitutes the next application layer and, if necessary, should be structured separately.

This fix helped by removing line breaks between tags:

$html = preg_replace('/>\s+</', '><', $html);

Also, I added this for debugging so I could view the generated HTML before it hits the PDF renderer, to see what is actually supposed to be outputted.

if($this->getProperty('debug_html')){
    header('Content-Type: text/html; charset=utf-8');
    echo $html;
    exit;
}

By the way, an important clarification: despite the fact that modxSite implements an API, the requests use classical multipart/form-data instead of JSON data as input

Now, in our new GraphQL API, we need to test proxying and request processing.

I've added a resolver draft and right now I can check whether requests are reaching the MODX handler and whether we are getting a response back.

Here I see a correct response in JSON format stating that I don't have access when trying to create a request.

This means the request itself is sent to the MODX site and processed correctly. Now we need to add user authorization.

In the personal account, we need to find the current session cookie. It can be found either in the request headers

or even simpler - go to the Application tab and look in the general list of cookies.

Now this cookie can be added as a custom header in the GraphQL playground of our new API.

Now, by sending a request with the authorization cookie, we get a response with a list of errors during form data validation.

That's it. We can consider the API framework itself ready. All that remains is to describe the request and response parameters, and we can hook it up to the frontend.

This project is a great opportunity to blow the dust off some old skills and be glad at how conveniently certain things were already designed back then :-)

Let me remind you that the main useful tools used on the site back then and which should help us now are console, modxSite, and modxSmarty.

Why and how should they help? It's written here.

And right now, I am seeing this for myself in practice.

First, creating pass requests and retrieving this data. Here, the credit goes to modxSite because it allows you to create your own processors for working with data, with API access available out of the box. So, in the personal account on the frontend, I open devTools and look at the create request:

Here I can see which processor is being called — passes/visitors/create — and what data is being transmitted. That means this can already be plugged into Postman or something similar to execute requests.

But then we take another tool — the console. And even though I haven't written anything there for many years, I didn't even have to write anything this time. It has a code export and import functionality, and here I just selected previously saved debugging code from the list. And that's it. You can run it right in the MODX admin panel :-)

The advantage of this approach is that the logic is completely separated from the presentation. That is, here we simply operate with API requests, transmit pure data, and receive pure data in response. And we can then style the response however we want. Previously, this response was processed by a JavaScript application on the MODX site, but now it will be handled by our new site using completely new technologies. And we won't have to change anything at all in MODX. The new site simply needs to know where to send API requests, and that's it.

Since even in the medium term all the business logic will still revolve around MODX itself, but the entire frontend must work seamlessly on new technologies, we are implementing a gradual synchronization of user accounts into the database of the new engine. That is, when a request from the current user arrives with their MODX session cookie, we simply check their session on our new backend, retrieve the MODX user, and create a linked user on our side. At the same time, we don't even need to store the password or check access rights, since verification still goes through MODX anyway, and all access policies continue to work at the MODX level, as everything was originally built on the API here, so we will simply proxy the requests. And on the frontend, we only need to know whether the user is authorized or not.

Fixed this. The problem was that the agent was breaking the formatting in the yaml document. The text response came in like this:

en:
  name: |
    Growth in Specialist Productivity Requires Corresponding Development of the Business Technological Environment
description: |
  Business gets the maximum out of new technologies and strong specialists only when its own technological environment allows realizing their productivity.
content: |
  New technologies increase specialist productivity, but this productivity is not realized in a vacuum. 

Here, description and content were not nested under en like name, but became new top-level sections instead. As a result, the final response structure looked like this:

{
  en: {
    name: 'Growth in Specialist Productivity Requires Corresponding Development of the Business Technological Environment\n'
  },
  description: 'Business gets the maximum out of new technologies and strong specialists only when its own technological environment allows realizing their productivity.\n',
  content: 'New technologies increase specialist productivity, but this productivity is not realized in a vacuum.

In other words, only the title was being translated here, and everything else was skipped during processing.

As a result, I did two things:

1. Split them into separate messages: the system prompt with all the rules went separately, while the document to be translated went into the user message. With this approach, the logical data structure is much clearer to the LLM.

2. Reinforced the YAML formatting rules.

It turned out like this:

const fieldsYaml = fieldsToTranslate
  .map(
    ({ field, value }) =>
      `${field}: |\n${value
        .split('\n')
        .map((line) => '  ' + line)
        .join('\n')}`,
  )
  .join('\n')

const fieldNames = fieldsToTranslate.map((f) => f.field)

const systemPrompt = `You are a professional translator specializing in technical documentation and web content.

# YAML OUTPUT RULES (CRITICAL)

You MUST output valid YAML with this EXACT structure:

\`\`\`
<lang_code>:
<field_name>: |
  <translated text line 1>
  <translated text line 2>
\`\`\`

**STRICT REQUIREMENTS:**
1. Each language code (en, de, etc.) MUST be at the ROOT level (no indentation)
2. Each field (name, description, content) MUST be indented with exactly 2 spaces under its language
3. Field values MUST use the literal block scalar (|) syntax
4. Text content MUST be indented with exactly 4 spaces (2 for field + 2 for content)
5. NEVER put fields at the root level - they MUST always be nested under a language code

# TRANSLATION RULES

1. **Translate, do not transliterate.** Convert meaning, not just letters.
2. Only include fields that were provided in the source.
3. Preserve all markdown and HTML formatting exactly.
4. Exception: Proper nouns, brand names, company names, and product names should be transliterated to Latin script.

# OUTPUT FORMAT

Respond ONLY with valid YAML. No markdown code blocks, no explanations, no comments - just raw YAML.`

const userPrompt = `Translate the following fields from Russian into: ${targetLangs.join(', ')}

## Source fields:

${fieldsYaml}

## Expected output structure:

${targetLangs
.map(
  (lang) =>
    `${lang}:\n${fieldNames.map((f) => `  ${f}: |\n    <translated ${f}>`).join('\n')}`,
)
.join('\n')}`

const chatResponse = await llmChatCompletionResolver(
  null,
  {
    input: {
      provider: LlmProvider.OpenRouter,
      messages: [
        {
          role: LLMChatMessageRole.system,
          content: systemPrompt,
        },
        {
          role: LLMChatMessageRole.user,
          content: userPrompt,
        },
      ],
      // eslint-disable-next-line @typescript-eslint/no-explicit-any
      model: LlmModel.GEMINI_3_5_FLASH_LITE as any,
    },
  },
  ctx,
)

const responseContent = chatResponse.choices?.[0]?.message?.content

To be fair, technical instructions are still somewhat mixed into the user message here, but even so, it has started working much more stably.

During the initial project review, it was confirmed that kilfor.ru is already containerized in Docker, and the MODX part is built on a proprietary stack: modxSite + modxSmarty + Console. This gives a working hypothesis that the new frontend can be connected to the existing application logic with less backend intervention and lower risks than a typical legacy MODX project. The hypothesis will be tested against the actual code and existing processors.

The current understanding of the architecture is documented separately: https://fi1osof.ru/concepts/kilfor-current-architecture

Тут чисто локальные случаи. Это не на всех уроках, а только отдельных. Маркдаун падает из-за кусков кода в контенте. Пока есть задачи важнее.

A good achievement already - calculated a huge part of junk pages.

Their presence is not a huge technical problem right now, but still Google spends most of its crawl budget on them, which causes more relevant and high-quality pages to be indexed significantly slower. I cannot know for sure, but I think this generally has a negative impact on Google's attitude towards the site. Moreover, Yandex has long replaced its TCI (Thematic Citation Index) with SQI (Site Quality Index). And it continues to drop there for us as well. We need to fix the technical condition of the site.

The solopreneur.prof website has been launched. A dedicated Lira profile has been created, the project's first semantic core has been prepared, and a set of basic Concepts has been published covering the future solopreneur, autonomy, short supply chains, AI-empowerment, the cost of external dependencies, accumulation of competencies, new markets, solopreneur networks, and the connection between solopreneurship and practical futurism. The main Concept, "The Solopreneur of the Future is a Practicing Futurist," is hosted at the URI /. Internal cross-linking and direct connections to futurist.expert and fi1osof.ru have been added.

The futurist.expert website has been launched. Russian and English versions are set up. Thematic populating has begun: several basic Concepts about a new type of futurist, practical futurism, systems thinking, AI, big tech, and solopreneurship have been created; translations have been added for some of the materials. The first coherent semantic core of the site has been formed, and internal linking of Concepts has begun.

Implementation Completed

The quick product editing button and administrative toolbar have been implemented.

How Authorization Checking is Done

Initially, we considered an option to pass the MODX cookie to the MODX site itself and get the result of checking the current session from it through its own authorization mechanisms.

This option was abandoned as redundant for the current task: it would have required additional environment configuration, knowledge of the MODX site address, and another network interaction.

In the current implementation, the cookie is taken from the incoming request headers and verified directly through the already existing client to the current database.

For the new frontend, a full MODX user object is not needed right now. Only a reliable sign that an administrative session exists is required in order to show the additional toolbar.

Ultimate administrative actions are performed in MODX Manager anyway. When navigating there, MODX re-checks its own session and user permissions, so the new check on the frontend is not the ultimate security boundary.

Why This Compromise Was Chosen

The decision was made based on the principle of balancing costs and functionality:

• the already available client to the current database is used;
• no additional environment variables are introduced;
• a separate request to MODX is not required;
• the frontend receives only the boolean signal it needs;
• the ultimate permission check remains in MODX Manager;
• the functionality is intended only for administrators, so potential issues will quickly show up through feedback.

The current implementation is considered sufficient for the task. If the administrative integration between the new frontend and MODX starts to expand, the session checking mechanism can be revised and moved into a more formalized auth bridge.

Observations and Decision on Admin Product Editing

What Was Found Out

The new HappyBaby public side operates separately from MODX, but MODX remains the working backend and existing administrative environment.

For the quick edit button, it makes no sense to build a second admin panel in the new frontend. At the first stage, it is more correct to use the existing MODX Manager and provide the administrator with a quick jump to editing the current product.

The main technical question turned out to be not the button itself, but determining administrative authorization on the new frontend.

In fact, the necessary MODX cookie already exists and is sent by the browser in requests from the new frontend. This means that an additional authorization system or synchronization of the MODX user with the haih-agent database is not needed at this time.

Adopted Direction

Add a separate GraphQL query that returns the current MODX user based on the existing MODX session/cookie.

MODX remains the single source of truth for this authorization. The MODX user at this stage:

• is not migrated to the haih-agent database;
• is not synchronized with the regular User model;
• does not receive a separate second session;
• is simply returned as an external current MODX user if the native MODX session is valid.

If GraphQL returns the current MODX user, the frontend considers the visitor to be an administrative user and displays the admin toolbar.

UI

It is better not to mix administrative action with customer buttons on the product card. The preferred option is a separate reusable admin toolbar / admin action layer, visible only when the current MODX user is present.

First toolbar action:

• Edit product → open the corresponding resource in MODX Manager.

Such a toolbar can later be reused for other administrative actions and page types without creating a new admin panel.

What is Needed for Implementation

1. Add a GraphQL query for the current MODX user via native session/cookie.
2. Return only the necessary frontend user data; do not embed them into the local User model.
3. Request the current MODX user on the frontend.
4. If the user is present, display the admin toolbar.
5. Generate a link to edit the corresponding MODX resource for the product card.
6. Ensure that the original MODX resource ID is available for the product; if not, add it to the product data.

Why This Option Was Chosen

It uses the already existing authorization and administrative system, does not duplicate MODX ACL, and does not create an additional auth loop for the sake of a single function. At the same time, the frontend receives the minimum necessary signal for the admin UI and remains loosely coupled with the internal MODX user model.

Taking measurements. The domain is from the year 2000. The content has been on the site for at least a few months. Yandex somehow managed to index 3 pages.

Let's see how quickly the measures taken in recent days will yield results.

Progress: Server-side validation and normalization of Concept content implemented

The main part of the task was implemented in commit: https://github.com/haih-net/agent/commit/5d2a3c1

Added:

• validateConcepts mutation to search for broken internal links;
• link check integration into createConcept and updateConcept;
• buildValidUrisSet() for the set of valid URIs;
• validateInternalLinks() with Markdown/MDX AST parsing and auto-fix support;
• normalizeMarkdownContent() to normalize MDX/Markdown before saving;
• skill documentation for validateConcepts;
• write: true is available only to sudo users, regular users only receive the validation result and fix the links manually.

Thus, the server is now starting to ensure the integrity of AI-managed Concept content, rather than relying solely on the correctness of the text created by the user or agent.

Architectural context is documented in Concept: Sistema chelovekoponyatnyh URI v haih-agent sohranyaet stabilnost adresov i SEO-signaly.

The neighboring commit 8afc203 refactors ConceptItem: list-view starts relying on intro/description, and the technical type is removed from the main public representation of Concept. This is not the main part of the task, but it aligns with the direction where system classification is separated from semantic public content.

Commit: https://github.com/haih-net/agent/commit/8afc203

Progress: Fix deployed

URL processing fixes have already been deployed to production. This is expected to resolve the majority of false 404 errors related to percent-encoded URLs and missing decoding.

The next mandatory control step, after new requests accumulate, is to re-check the internal logs for 404 errors to ensure that the mass issue has indeed disappeared and the remaining 404s pertain to individual cases.

For this purpose, a linked child task has been created with a scheduled completion date of August 29, 2026.

Clarification on URI Decoding

After verification, it turned out that decodeURI(asPath) does not cover all the necessary cases.

Concrete example:

/projects/%40prisma-cms/sendmail

is expected to be:

/projects/@prisma-cms/sendmail

However, decodeURI() leaves %40 intact because @ belongs to reserved URI characters, and the entire URI is not fully decoded.

For entity URIs, it is more correct to process the path segment by segment:

1. First, split the pathname by /, preserving the route structure.
2. Pass each segment separately through decodeURIComponent().
3. Reassemble the path.

This way, we get the required decoding %40 -> @ without the risk that an encoded %2F inside a single slug prematurely turns into a structural / and changes the number of route segments.

In other words, the target logic should be segment-aware, for example conceptually:

const uri = pathname
  .split('/')
  .map(segment => decodeURIComponent(segment))
  .join('/')

This is also symmetrical to the current implementation of slugifyUri(), which already works on a segment-by-segment basis.

The current decodeURI(asPath) can be considered an interim fix: it solves cases like %22, but not %40 and other reserved characters if they are part of a slug/entity URI.

A separate URIError is not considered here as part of this task: technical malformed URL errors should be handled separately.

Progress: the fix has been implemented and expanded to the CNC (ChPU) basis

The implementation is completed in the commit: https://github.com/haih-net/agent/commit/1f99a51dd407eb4e58f9e2f83f411a265db2f24c

Incoming URIs are now decoded via decodeURI at key points when working with router.asPath, which eliminates false 404s for existing pages with percent-encoded characters.

At the same time, the work has been expanded to the general URI basis of haih-agent: generation of slugified URIs from the concept name and automatic 301 redirect upon URI changes have been added. This is done as a foundation for the transition of haih-agent-based applications to human-readable URLs.

The practical continuation is SEO/GEO of fi1osof.ru, where current task and project URLs use technical CUIDs. Related task: Upgrade SEO/GEO.

Progress: SEF URLs foundation laid in haih-agent

One of the areas that may hinder SEO has been identified: the public URLs of fi1osof.ru are built around technical CUIDs (/tasks/<id>, /projects/<id>) and do not contain page semantics.

Since fi1osof.ru runs on haih-agent, the foundation itself was improved first. Commit https://github.com/haih-net/agent/commit/1f99a51dd407eb4e58f9e2f83f411a265db2f24c implements:

• slugify for human-readable URIs;
• URI generation from the concept name;
• 301 redirect from the old URI when it changes;
• general logic for redirect rules;
• decodeURI for correct reading of percent-encoded addresses.

The next stage is to pull the changes into fi1osof.ru and apply SEF URLs to indexed entities, primarily task/project URLs, while preserving old links via redirects/canonical.

Related base task: Fix URL decoding in haih-agent.