fix: document Monty runtime limitations in CodeAct prompt, fix new-thread read-only

- Add "Runtime environment" section to codeact_preamble.md documenting
  Monty's restrictions: no stdlib imports, single imports only, no classes/
  with/match/del/yield, available builtins and modules, workarounds
- Add MONTY.md tracking current pin, all limitations, upgrade process,
  and changelog for future Monty updates
- Fix gateway createNewThread() not resetting read-only state — new
  threads now eagerly enable chat input instead of waiting for async
  loadThreads() callback

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
This commit is contained in:
2026-03-28 12:10:01 -07:00
co-authored by Claude Opus 4.6
parent 5cb073de72
commit 62ea08ac5e
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# Monty Integration
Monty is the embedded Python interpreter used for Tier 1 (CodeAct) execution. It's a lightweight Rust-native Python implementation — not CPython — so it has a restricted feature set.
**Source**: `git = "https://github.com/pydantic/monty.git", branch = "main"`
**Pinned at**: `6053820` (2026-03-27, "Support max() kwargs/default")
## Upgrade Process
1. **Update the pin**: `cargo update -p monty`
2. **Check for new features**: `cd ~/.cargo/git/checkouts/monty-*/*/` and `git log --oneline` since last pin
3. **Update the preamble**: If a previously-unsupported feature now works, remove it from the "Runtime environment" section in `prompts/codeact_preamble.md`
4. **Update this file**: Record the new pin and what changed
5. **Run tests**: `cargo test -p ironclaw_engine`
6. **Watch traces**: After deploying, check traces for new `NotImplementedError` patterns (self-improvement mission catches these)
## Current Limitations (as of pin `6053820`)
These are documented in `prompts/codeact_preamble.md` so the LLM avoids them:
### Syntax not supported
| Feature | Workaround |
|---------|-----------|
| `import a, b, c` (multi-module) | Use separate `import a` / `import b` statements |
| `class Foo:` | Use functions and dicts |
| `with` statements | Use try/finally or direct calls |
| `match` statements | Use if/elif chains |
| `del` statement | Reassign to None |
| `yield` / `yield from` | Use lists and list comprehensions |
| `*expr` (starred expressions) | Unpack explicitly |
| `async` / `await` | Not available; tool calls suspend the VM automatically |
| Type aliases (`type X = ...`) | Omit type annotations |
| Template strings (t-strings) | Use f-strings |
| Complex number literals | Use floats |
| Exception groups (`try*/except*`) | Use regular try/except |
### No standard library
`import datetime`, `import csv`, `import json`, `import os`, `import io`, etc. all fail.
Available built-in modules:
- `math` — standard math functions
- `re` — regex (basic)
- `sys` — system info (limited)
- `os.path` — path manipulation (limited)
- `typing` — type hints (limited, for annotation only)
### Available builtins
`abs`, `all`, `any`, `bin`, `chr`, `divmod`, `enumerate`, `filter`, `getattr`, `hash`, `hex`, `id`, `isinstance`, `len`, `map`, `min`, `max`, `next`, `oct`, `ord`, `pow`, `print`, `repr`, `reversed`, `round`, `sorted`, `sum`, `type`, `zip`
### Host-provided functions (always available)
These are injected by the IronClaw executor, not by Monty:
- `FINAL(answer)` / `FINAL_VAR(name)` — terminate with result
- `llm_query(prompt, context)` — recursive LLM sub-call
- `llm_query_batched(prompts)` — parallel sub-calls
- `rlm_query(prompt)` — full sub-agent with tools
- `globals()` / `locals()` — returns dict of known tool names
- All tool functions (web_search, http, time, etc.)
## Upgrade Changelog
| Date | Pin | Notable changes |
|------|-----|-----------------|
| 2026-03-20 | `6053820` | Initial integration. max() kwargs support. |
@@ -40,3 +40,20 @@ You can write multiple code blocks across turns. Variables persist between block
6. For large data, process it in chunks using llm_query() on subsets rather than loading everything into context.
7. Outputs are truncated to 8000 chars — use variables to store large intermediate results.
8. Include the actual content in your FINAL() answer, not just a count or summary. Users want to see the details.
## Runtime environment
The Python REPL runs in Monty, a lightweight embedded interpreter — not CPython. Key differences:
- **No standard library modules**: `import datetime`, `import csv`, `import json`, `import os`, `import re` etc. will fail with `ModuleNotFoundError`. Use the provided tool functions instead (e.g. `time()` for dates, `http()` for fetching data, `json()` for parsing).
- **Single imports only**: `import a, b, c` is not supported. Use separate statements: `import a` then `import b`.
- **No classes**: `class Foo:` is not supported. Use functions and dicts instead.
- **No `with` statements**: Use try/finally or just call functions directly.
- **No `match` statements**: Use if/elif chains.
- **No `del` statement**: Reassign to None instead.
- **No `yield`/`yield from`**: Use lists and list comprehensions instead of generators.
- **No `*expr` unpacking in assignments**: Unpack explicitly.
- **Available builtins**: `abs`, `all`, `any`, `bin`, `chr`, `divmod`, `enumerate`, `filter`, `getattr`, `hash`, `hex`, `id`, `isinstance`, `len`, `map`, `min`, `max`, `next`, `oct`, `ord`, `pow`, `print`, `repr`, `reversed`, `round`, `sorted`, `sum`, `type`, `zip`.
- **Available modules**: `math`, `re`, `sys`, `os.path`, `typing` (limited).
- **String methods, list methods, dict methods**: All work normally.
- For dates, use the `time()` tool. For CSV parsing, split strings manually. For HTTP, use `http()`. For JSON, use `json()` or work with dicts directly (tool results are already Python objects).
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@@ -2092,8 +2092,10 @@ function switchThread(threadId) {
function createNewThread() {
apiFetch('/api/chat/thread/new', { method: 'POST' }).then((data) => {
currentThreadId = data.id || null;
currentThreadIsReadOnly = false;
document.getElementById('chat-messages').innerHTML = '';
showWelcomeCard();
enableChatInput();
loadThreads();
}).catch((err) => {
showToast('Failed to create thread: ' + err.message, 'error');