Added the create agent. Use [these
prompts](https://github.com/Stirling-Tools/Stirling-PDF-SaaS/blob/main/docgen/backend/default_templates/sample_prompts.md)
to test or try your own :)
Here’s the one I use
```
Hey, I need to generate an employee expense report for reimbursement.
Company: Summit Consulting Partners Company address: 88 Riverside Plaza, Suite 1400, New York, NY 10069 Accounting department email: [email protected]
Employee details:
* Employee Name: Michael Tran
* Employee ID: EMP-1047
* Department: Client Services
* Report Date: January 20th, 2026
* Reporting Period: January 5th, 2026 – January 16th, 2026
* Manager Approver: Laura Simmons
Trip purpose: Client onsite meetings with Atlantic Energy Solutions in Boston, MA.
Expense items:
* Flight (NYC to Boston roundtrip) — $325.40 — January 5th, 2026 — Airline ticket
* Hotel (3 nights at Harborview Hotel) — $822.75 — January 5th-8th, 2026
* Taxi from airport to hotel — $48.00 — January 5th, 2026
* Client dinner (3 attendees) — $186.20 — January 6th, 2026
* Parking at JFK Airport — $72.00 — January 5th-8th, 2026
* Breakfast (per diem not used) — $18.50 — January 7th, 2026
* Uber to client office — $22.10 — January 7th, 2026
* Printing + presentation materials — $46.90 — January 8th, 2026
* Lunch with client — $39.75 — January 8th, 2026
* Office supplies (notebooks, pens) — $27.60 — January 10th, 2026
* Mileage reimbursement (client visit in NJ, 42 miles @ $0.67/mile) — $28.14 — January 14th, 2026
* Team lunch meeting (internal) — $64.30 — January 15th, 2026
Reimbursement method should be direct deposit.
Add a notes section stating: "All receipts attached. Expenses are business-related and comply with company travel policy."
```
---------
Co-authored-by: Anthony Stirling <[email protected]>
# Description of Changes
Redesign AI engine so that it autogenerates the `tool_models.py` file
from the OpenAPI spec so the Python has access to the Java API
parameters and the full list of Java tools that it can run. CI ensures
that whenever someone modifies a tool endpoint that the AI enigne tool
models get updated as well (the dev gets told to run `task
engine:tool-models`).
There's loads of advantages to having the Java be the one that actually
executes the tools, rather than the frontend as it was previously set up
to theoretically use:
- The AI gets much better descriptions of the params from the API docs
- It'll be usable headless in the future so a Java daemon could run to
execute ops on files in a folder without the need for the UI to run
- The Java already has all the logic it needs to execute the tools
- We don't need to parse the TypeScript to find the API (which is hard
because the TS wasn't designed to be computer-read to extract the API)
I've also hooked up the prototype frontend to ensure it's working
properly, and have built it in a way that all the tool names can be
translated properly, which was always an issue with previous prototypes
of this.
---------
Co-authored-by: Anthony Stirling <[email protected]>
Co-authored-by: EthanHealy01 <[email protected]>
Upgrade fastmcp, aiohttp, cryptography, and anthropic to fix critical
SSRF/path traversal, header injection, OAuth confused deputy, and DoS
vulnerabilities.
<details>
<summary>✅ 16 CVEs resolved by this upgrade, including 2 critical 🚨
CVEs</summary>
<br>
This PR will resolve the following CVEs:
| Issue |
Severity |
Description |
| --- | --- | --- |
|
<pre>[CVE-2026-32871](https://app.aikido.dev/issues/25944204/detail?groupId=70007#CVE-2026-32871)</pre>
| <pre>🚨 CRITICAL</pre> | [fastmcp] Path traversal vulnerability in URL
construction allows attackers to bypass API prefix restrictions and
access arbitrary backend endpoints using unencoded path parameters,
enabling authenticated SSRF attacks. |
|
<pre>[CVE-2026-27124](https://app.aikido.dev/issues/25944204/detail?groupId=70007#CVE-2026-27124)</pre>
| <pre>HIGH</pre> | [fastmcp] OAuthProxy fails to validate user consent
when receiving authorization codes from GitHub, allowing attackers to
exploit GitHub's consent-skipping behavior to gain unauthorized access
to FastMCP servers through a Confused Deputy attack. |
|
<pre>[CVE-2025-64340](https://app.aikido.dev/issues/25944204/detail?groupId=70007#CVE-2025-64340)</pre>
| <pre>MEDIUM</pre> | [fastmcp] Server names with shell metacharacters
can cause command injection on Windows when passed to install commands,
allowing arbitrary code execution through cmd.exe interpretation of .cmd
wrapper files. |
|
<pre>[CVE-2026-34520](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34520)</pre>
| <pre>🚨 CRITICAL</pre> | [aiohttp] is an asynchronous HTTP
client/server framework for asyncio and Python. Prior to version 3.13.4,
the C parser (the default for most installs) accepted null bytes and
control characters in response headers. This issue has been patched in
version 3.13.4. |
|
<pre>[CVE-2026-34516](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34516)</pre>
| <pre>HIGH</pre> | [aiohttp] A response with an excessive number of
multipart headers can consume more memory than intended, leading to a
denial of service (DoS) vulnerability through resource exhaustion. |
|
<pre>[CVE-2026-22815](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-22815)</pre>
| <pre>MEDIUM</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, insufficient
restrictions in header/trailer handling could cause uncapped memory
usage. This issue has been patched in version 3.13.4. |
|
<pre>[CVE-2026-34515](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34515)</pre>
| <pre>MEDIUM</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, on Windows
the static resource handler may expose information about a NTLMv2 remote
path. This issue has been patched in version 3.13.4. |
|
<pre>[CVE-2026-34525](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34525)</pre>
| <pre>MEDIUM</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, multiple Host
headers were allowed in aiohttp. This issue has been patched in version
3.13.4. |
|
<pre>[CVE-2026-34513](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34513)</pre>
| <pre>LOW</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, an unbounded
DNS cache could result in excessive memory usage possibly resulting in a
DoS situation. This issue has been patched in version 3.13.4. |
|
<pre>[CVE-2026-34514](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34514)</pre>
| <pre>LOW</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, an attacker
who controls the content_type parameter in aiohttp could use this to
inject extra headers or similar exploits. This issue has been patched in
version 3.13.4. |
|
<pre>[CVE-2026-34517](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34517)</pre>
| <pre>LOW</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, for some
multipart form fields, aiohttp read the entire field into memory before
checking client_max_size. This issue has been patched in version 3.13.4.
|
|
<pre>[CVE-2026-34518](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34518)</pre>
| <pre>LOW</pre> | [aiohttp] When following redirects to a different
origin, the framework fails to drop the Cookie and Proxy-Authorization
headers alongside the Authorization header, potentially leaking
sensitive authentication credentials to untrusted domains. |
|
<pre>[CVE-2026-34519](https://app.aikido.dev/issues/25944198/detail?groupId=70007#CVE-2026-34519)</pre>
| <pre>LOW</pre> | [aiohttp] is an asynchronous HTTP client/server
framework for asyncio and Python. Prior to version 3.13.4, an attacker
who controls the reason parameter when creating a Response may be able
to inject extra headers or similar exploits. This issue has been patched
in version 3.13.4. |
|
<pre>[CVE-2026-39892](https://app.aikido.dev/issues/25637201/detail?groupId=70007#CVE-2026-39892)</pre>
| <pre>MEDIUM</pre> | [cryptography] Non-contiguous buffers passed to
cryptographic APIs can cause buffer overflows, potentially leading to
memory corruption and arbitrary code execution. |
|
<pre>[CVE-2026-34452](https://app.aikido.dev/issues/25944200/detail?groupId=70007#CVE-2026-34452)</pre>
| <pre>MEDIUM</pre> | [anthropic] A time-of-check-time-of-use (TOCTOU)
vulnerability in the async filesystem memory tool allows local attackers
to escape the sandbox directory via symlink manipulation, enabling
arbitrary file read/write operations outside the intended memory
directory. |
|
<pre>[CVE-2026-34450](https://app.aikido.dev/issues/25944200/detail?groupId=70007#CVE-2026-34450)</pre>
| <pre>MEDIUM</pre> | [anthropic] The local filesystem memory tool
created world-readable and potentially world-writable files, allowing
local attackers to read persisted agent state or modify memory files to
influence model behavior. |
</details>
Co-authored-by: aikido-autofix[bot] <119856028+aikido-autofix[bot]@users.noreply.github.com>
# Description of Changes
Redesign the Python AI engine to be properly agentic and make use of
`pydantic-ai` instead of `langchain` for correctness and ergonomics.
This should be a good foundation for us to build our AI engine on going
forwards.
