d144484b06 feat: WASM channel attachments with LLM pipeline integration (#596)
* feat: add inbound attachment support to WASM channel system

Add attachment record to WIT interface and implement inbound media
parsing across all four channel implementations (Telegram, Slack,
WhatsApp, Discord). Attachments flow from WASM channels through
EmittedMessage to IncomingMessage with validation (size limits,
MIME allowlist, count caps) at the host boundary.

- Add `attachment` record to `emitted-message` in wit/channel.wit
- Add `IncomingAttachment` struct to channel.rs and re-export
- Add host-side validation (20MB total, 10 max, MIME allowlist)
- Telegram: parse photo, document, audio, video, voice, sticker
- Slack: parse file attachments with url_private
- WhatsApp: parse image, audio, video, document with captions
- Discord: backward-compatible empty attachments
- Update FEATURE_PARITY.md section 7
- Add fixture-based tests per channel and host integration tests

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: integrate outbound attachment support and reconcile WIT types (#409)

Reconcile PR #409's outbound attachment work with our inbound attachment
support into a unified design:

WIT type split:
- `inbound-attachment` in channel-host: metadata-only (id, mime_type,
  filename, size_bytes, source_url, storage_key, extracted_text)
- `attachment` in channel: raw bytes (filename, mime_type, data) on
  agent-response for outbound sending

Outbound features (from PR #409):
- `on-broadcast` WIT export for proactive messages without prior inbound
- Telegram: multipart sendPhoto/sendDocument with auto photo→document
  fallback for files >10MB
- wrapper.rs: `call_on_broadcast`, `read_attachments` from disk,
  attachment params threaded through `call_on_respond`
- HTTP tool: `save_to` param for binary downloads to /tmp/ (50MB limit,
  path traversal protection, SSRF-safe redirect following)
- Message tool: allow /tmp/ paths for attachments alongside base_dir
- Credential env var fallback in inject_channel_credentials

Channel updates:
- All 4 channels implement on_broadcast (Telegram full, others stub)
- Telegram: polling_enabled config, adjusted poll timeout
- Inbound attachment types renamed to InboundAttachment in all channels

Tests: 1965 passing (9 new), 0 clippy warnings

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: add audio transcription pipeline and extensible WIT attachment design

Add host-side transcription middleware (OpenAI Whisper) that detects audio
attachments with inline data on incoming messages and transcribes them
automatically. Refactor WIT inbound-attachment to use extras-json and a
store-attachment-data host function instead of typed fields, so future
attachment properties (dimensions, codec, etc.) don't require WIT changes
that invalidate all channel plugins.

- Add src/transcription/ module: TranscriptionProvider trait,
  TranscriptionMiddleware, AudioFormat enum, OpenAI Whisper provider
- Add src/config/transcription.rs: TRANSCRIPTION_ENABLED/MODEL/BASE_URL
- Wire middleware into agent message loop via AgentDeps
- WIT: replace data + duration-secs with extras-json + store-attachment-data
- Host: parse extras-json for well-known keys, merge stored binary data
- Telegram: download voice files via store-attachment-data, add duration
  to extras-json, add /file/bot to HTTP allowlist, voice-only placeholder
- Add reqwest multipart feature for Whisper API uploads
- 5 regression tests for transcription middleware

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: wire attachment processing into LLM pipeline with multimodal image support

Attachments on incoming messages are now augmented into user text via XML tags
before entering the turn system, and images with data are passed as multimodal
content parts (base64 data URIs) to LLM providers. This enables audio transcripts,
document text, and image content to reach the LLM without changes to ChatMessage
serialization or provider interfaces.

- Add src/agent/attachments.rs with augment_with_attachments() and 9 unit tests
- Add ContentPart/ImageUrl types to llm::provider with OpenAI-compatible serde
- Carry image_content_parts transiently on Turn (skipped in serialization)
- Update nearai_chat and rig_adapter to serialize multimodal content
- Add 3 e2e tests verifying attachments flow through the full agent loop

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: CI failures — formatting, version bumps, and Telegram voice test

- Fix cargo fmt formatting in attachments.rs, nearai_chat.rs, rig_adapter.rs,
  e2e_attachments.rs
- Bump channel registry versions 0.1.0 → 0.2.0 (discord, slack, telegram,
  whatsapp) to satisfy version-bump CI check
- Fix Telegram test_extract_attachments_voice: add missing required `duration`
  field to voice fixture JSON

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: bump WIT channel version to 0.3.0, fix Telegram voice test, add pre-commit hook

- Bump wit/channel.wit package version 0.2.0 → 0.3.0 (interface changed with
  store-attachment-data)
- Update WIT_CHANNEL_VERSION constant and registry wit_version fields to match
- Fix Telegram test_extract_attachments_voice: gate voice download behind
  #[cfg(target_arch = "wasm32")] so host functions aren't called in native tests,
  update assertions for generated filename and extras_json duration
- Add @0.3.0 linker stubs in wit_compat.rs
- Add .githooks/pre-commit hook that runs scripts/check-version-bumps.sh when
  WIT or extension sources are staged
- Symlink commit-msg regression hook into .githooks/

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* refactor: extract voice download from extract_attachments into handle_message

Move download_voice_file + store_attachment_data calls out of
extract_attachments into a separate download_and_store_voice function
called from handle_message. This keeps extract_attachments as a pure
data-mapping function with no host calls, making it fully testable
in native unit tests without #[cfg(target_arch)] gates.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address PR review comments — security, correctness, and code quality

Security fixes:
- Add path validation to read_attachments (restrict to /tmp/) preventing
  arbitrary file reads from compromised tools
- Escape XML special characters in attachment filenames, MIME types, and
  extracted text to prevent prompt injection via tag spoofing
- Percent-encode file_id in Telegram getFile URL to prevent query injection
- Clone SecretString directly instead of expose_secret().to_string()

Correctness fixes:
- Fix store_attachment_data overwrite accounting: subtract old entry size
  before adding new to prevent inflated totals and false rejections
- Use max(reported, stored_size) for attachment size accounting to prevent
  WASM channels from under-reporting size_bytes to bypass limits
- Add application/octet-stream to MIME allowlist (channels default unknown
  types to this)

Code quality:
- Extract send_response helper in Telegram, deduplicating on_respond and
  on_broadcast
- Rename misleading Discord test to test_parse_slash_command_interaction
- Fix .githooks/commit-msg to use relative symlink (portable across machines)

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: add tool_upgrade command + fix TOCTOU in save_to path validation

Add `tool_upgrade` — a new extension management tool that automatically
detects and reinstalls WASM extensions with outdated WIT versions.
Preserves authentication secrets during upgrade. Supports upgrading a
single extension by name or all installed WASM tools/channels at once.

Fix TOCTOU in `validate_save_to_path`: validate the path *before*
creating parent directories, so traversal paths like `/tmp/../../etc/`
cannot cause filesystem mutations outside /tmp before being rejected.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: unify WIT package version to 0.3.0 across tool.wit and all capabilities

tool.wit and channel.wit share the `near:agent` package namespace, so they
must declare the same version. Bumps tool.wit from 0.2.0 to 0.3.0 and
updates all capabilities files and registry entries to match.

Fixes `cargo component build` failure: "package identifier near:[email protected]
does not match previous package name of near:[email protected]"

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: move WIT file comments after package declaration

WIT treats `//` comments before `package` as doc comments. When both
tool.wit and channel.wit had header comments, the parser rejected them
as "doc comments on multiple 'package' items". Move comments after the
package declaration in both files.

Also bumps tool registry versions to 0.2.0 to match the WIT 0.3.0 bump.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: display extension versions in gateway Extensions tab

Add version field to InstalledExtension and RegistryEntry types, pipe
through the web API (ExtensionInfo, RegistryEntryInfo), and render as
a badge in the gateway UI for both installed and available extensions.

For installed WASM extensions, version is read from the capabilities
file with a fallback to the registry entry when the local file has no
version (old installations). Bump all extension Cargo.toml and registry
JSON versions from 0.1.0 to 0.2.0 to keep them in sync.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: add document text extraction middleware for PDF, Office, and text files

Extract text from document attachments (PDF, DOCX, PPTX, XLSX, RTF, plain text,
code files) so the LLM can reason about uploaded documents. Uses pdf-extract for
PDFs, zip+XML parsing for Office XML formats, and UTF-8 decode for text files.
Wired into the agent loop after transcription middleware.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: download document files in Telegram channel for text extraction

The DocumentExtractionMiddleware needs file bytes in the attachment `data`
field, but only voice files were being downloaded. Document attachments
(PDFs, DOCX, etc.) had empty `data` and a source_url with a credential
placeholder that only works inside the WASM host's http_request.

Add `download_and_store_documents()` that downloads non-voice, non-image,
non-audio attachments via the existing two-step getFile→download flow and
stores bytes via `store_attachment_data` for host-side extraction.

Also rename `download_voice_file` → `download_telegram_file` since it's
generic for any file_id.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: allow Office MIME types and increase file download limit for Telegram

Two issues preventing document extraction from Telegram:

1. PPTX/DOCX/XLSX MIME types (application/vnd.*) were dropped by the
   WASM host attachment allowlist — add application/vnd., application/msword,
   and application/rtf prefixes.

2. Telegram file downloads over 10 MB failed with "Response body too large" —
   set max_response_bytes to 20 MB in Telegram capabilities.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: report document extraction errors back to user instead of silently skipping

- Bump max_response_bytes to 50 MB for Telegram file downloads
- When document extraction fails (too large, download error, parse error),
  set extracted_text to a user-friendly error message instead of leaving it
  None. This ensures the LLM tells the user what went wrong.
- On Telegram download failure, set extracted_text with the error so the
  user sees feedback even when the file never reaches the extraction middleware.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: store extracted document text in workspace memory for search/recall

After document extraction succeeds, write the extracted text to workspace
memory at `documents/{date}/{filename}`. This enables:
- Full-text and semantic search over past uploaded documents
- Cross-conversation recall ("what did that PDF say?")
- Automatic chunking and embedding via the workspace pipeline

Documents are stored with metadata header (uploader, channel, date, MIME type).
Error messages (extraction failures) are not stored — only successful extractions.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: CI failures — formatting, unused assignment warning

- Run cargo fmt on document_extraction and agent_loop modules
- Suppress unused_assignments warning on trace_llm_ref (used only
  behind #[cfg(feature = "libsql")])

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address PR review comments — security, correctness, and code quality

Security fixes:
- Remove SSRF-prone download() from DocumentExtractionMiddleware (#13)
- Sanitize filenames in workspace path to prevent directory traversal (#11)
- Pre-check file size before reading in WASM wrapper to prevent OOM (#2)
- Percent-encode file_id in Telegram source URLs (#7)

Correctness fixes:
- Clear image_content_parts on turn end to prevent memory leak (#1)
- Find first *successful* transcription instead of first overall (#3)
- Enforce data.len() size limit in document extraction (#10)
- Use UTF-8 safe truncation with char_indices() (#12)

Robustness & code quality:
- Add 120s timeout to OpenAI Whisper HTTP client (#5)
- Trim trailing slash from Whisper base_url (#6)
- Allow ~/.ironclaw/ paths in WASM wrapper (#8)
- Return error from on_broadcast in Slack/Discord/WhatsApp (#9)
- Fix doc comment in HTTP tool (#4)

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: formatting — cargo fmt

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address latest PR review — doc comments, error messages, version bumps

- Fix DocumentExtractionMiddleware doc comment (no longer downloads from source_url)
- Fix error message: "no inline data" instead of "no download URL"
- Log error + fallback instead of silent unwrap_or_default on Whisper HTTP client
- Bump all capabilities.json versions from 0.1.0 to 0.2.0 to match Cargo.toml

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: remove unsupported profile: minimal from CI workflows [skip-regression-check]

dtolnay/rust-toolchain@stable does not accept the 'profile' input
(it was a parameter for the deprecated actions-rs/toolchain action).

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: merge with latest main — resolve compilation errors and PR review nits

- Add version: None to RegistryEntry/InstalledExtension test constructors
- Fix MessageContent type mismatches in nearai_chat tests (String → MessageContent::Text)
- Fix .contains() calls on MessageContent — use .as_text().unwrap()
- Remove redundant trace_llm_ref = None assignment in test_rig
- Check data size before clone in document extraction to avoid unnecessary allocation

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 <[email protected]>
2026-03-07 18:01:40 +00:00
2026-03-05 17:12:49 -08:00
2026-02-04 22:09:52 -08:00
2026-02-11 08:31:25 +00:00
2026-02-09 03:00:35 +00:00
2026-03-06 11:23:28 -08:00
2026-02-22 19:08:43 +00:00
2026-02-22 19:08:43 +00:00
2026-02-21 15:14:57 -07:00

IronClaw

IronClaw

Your secure personal AI assistant, always on your side

License: MIT OR Apache-2.0 Telegram: @ironclawAI Reddit: r/ironclawAI

PhilosophyFeaturesInstallationConfigurationSecurityArchitecture


Philosophy

IronClaw is built on a simple principle: your AI assistant should work for you, not against you.

In a world where AI systems are increasingly opaque about data handling and aligned with corporate interests, IronClaw takes a different approach:

  • Your data stays yours - All information is stored locally, encrypted, and never leaves your control
  • Transparency by design - Open source, auditable, no hidden telemetry or data harvesting
  • Self-expanding capabilities - Build new tools on the fly without waiting for vendor updates
  • Defense in depth - Multiple security layers protect against prompt injection and data exfiltration

IronClaw is the AI assistant you can actually trust with your personal and professional life.

Features

Security First

  • WASM Sandbox - Untrusted tools run in isolated WebAssembly containers with capability-based permissions
  • Credential Protection - Secrets are never exposed to tools; injected at the host boundary with leak detection
  • Prompt Injection Defense - Pattern detection, content sanitization, and policy enforcement
  • Endpoint Allowlisting - HTTP requests only to explicitly approved hosts and paths

Always Available

  • Multi-channel - REPL, HTTP webhooks, WASM channels (Telegram, Slack), and web gateway
  • Docker Sandbox - Isolated container execution with per-job tokens and orchestrator/worker pattern
  • Web Gateway - Browser UI with real-time SSE/WebSocket streaming
  • Routines - Cron schedules, event triggers, webhook handlers for background automation
  • Heartbeat System - Proactive background execution for monitoring and maintenance tasks
  • Parallel Jobs - Handle multiple requests concurrently with isolated contexts
  • Self-repair - Automatic detection and recovery of stuck operations

Self-Expanding

  • Dynamic Tool Building - Describe what you need, and IronClaw builds it as a WASM tool
  • MCP Protocol - Connect to Model Context Protocol servers for additional capabilities
  • Plugin Architecture - Drop in new WASM tools and channels without restarting

Persistent Memory

  • Hybrid Search - Full-text + vector search using Reciprocal Rank Fusion
  • Workspace Filesystem - Flexible path-based storage for notes, logs, and context
  • Identity Files - Maintain consistent personality and preferences across sessions

Installation

Prerequisites

  • Rust 1.85+
  • PostgreSQL 15+ with pgvector extension
  • NEAR AI account (authentication handled via setup wizard)

Download or Build

Visit Releases page to see the latest updates.

Install via Windows Installer (Windows)

Download the Windows Installer and run it.

Install via powershell script (Windows)
irm https://github.com/nearai/ironclaw/releases/latest/download/ironclaw-installer.ps1 | iex
Install via shell script (macOS, Linux, Windows/WSL)
curl --proto '=https' --tlsv1.2 -LsSf https://github.com/nearai/ironclaw/releases/latest/download/ironclaw-installer.sh | sh
Install via Homebrew (macOS/Linux)
brew install ironclaw
Compile the source code (Cargo on Windows, Linux, macOS)

Install it with cargo, just make sure you have Rust installed on your computer.

# Clone the repository
git clone https://github.com/nearai/ironclaw.git
cd ironclaw

# Build
cargo build --release

# Run tests
cargo test

For full release (after modifying channel sources), run ./scripts/build-all.sh to rebuild channels first.

Database Setup

# Create database
createdb ironclaw

# Enable pgvector
psql ironclaw -c "CREATE EXTENSION IF NOT EXISTS vector;"

Configuration

Run the setup wizard to configure IronClaw:

ironclaw onboard

The wizard handles database connection, NEAR AI authentication (via browser OAuth), and secrets encryption (using your system keychain). Settings are persisted in the connected database; bootstrap variables (e.g. DATABASE_URL, LLM_BACKEND) are written to ~/.ironclaw/.env so they are available before the database connects.

Alternative LLM Providers

IronClaw defaults to NEAR AI but works with any OpenAI-compatible endpoint. Popular options include OpenRouter (300+ models), Together AI, Fireworks AI, Ollama (local), and self-hosted servers like vLLM or LiteLLM.

Select "OpenAI-compatible" in the wizard, or set environment variables directly:

LLM_BACKEND=openai_compatible
LLM_BASE_URL=https://openrouter.ai/api/v1
LLM_API_KEY=sk-or-...
LLM_MODEL=anthropic/claude-sonnet-4

See docs/LLM_PROVIDERS.md for a full provider guide.

Security

IronClaw implements defense in depth to protect your data and prevent misuse.

WASM Sandbox

All untrusted tools run in isolated WebAssembly containers:

  • Capability-based permissions - Explicit opt-in for HTTP, secrets, tool invocation
  • Endpoint allowlisting - HTTP requests only to approved hosts/paths
  • Credential injection - Secrets injected at host boundary, never exposed to WASM code
  • Leak detection - Scans requests and responses for secret exfiltration attempts
  • Rate limiting - Per-tool request limits to prevent abuse
  • Resource limits - Memory, CPU, and execution time constraints
WASM ──► Allowlist ──► Leak Scan ──► Credential ──► Execute ──► Leak Scan ──► WASM
         Validator     (request)     Injector       Request     (response)

Prompt Injection Defense

External content passes through multiple security layers:

  • Pattern-based detection of injection attempts
  • Content sanitization and escaping
  • Policy rules with severity levels (Block/Warn/Review/Sanitize)
  • Tool output wrapping for safe LLM context injection

Data Protection

  • All data stored locally in your PostgreSQL database
  • Secrets encrypted with AES-256-GCM
  • No telemetry, analytics, or data sharing
  • Full audit log of all tool executions

Architecture

┌────────────────────────────────────────────────────────────────┐
│                          Channels                              │
│  ┌──────┐  ┌──────┐   ┌─────────────┐  ┌─────────────┐         │
│  │ REPL │  │ HTTP │   │WASM Channels│  │ Web Gateway │         │
│  └──┬───┘  └──┬───┘   └──────┬──────┘  │ (SSE + WS)  │         │
│     │         │              │         └──────┬──────┘         │
│     └─────────┴──────────────┴────────────────┘                │
│                              │                                 │
│                    ┌─────────▼─────────┐                       │
│                    │    Agent Loop     │  Intent routing       │
│                    └────┬──────────┬───┘                       │
│                         │          │                           │
│              ┌──────────▼────┐  ┌──▼───────────────┐           │
│              │  Scheduler    │  │ Routines Engine  │           │
│              │(parallel jobs)│  │(cron, event, wh) │           │
│              └──────┬────────┘  └────────┬─────────┘           │
│                     │                    │                     │
│       ┌─────────────┼────────────────────┘                     │
│       │             │                                          │
│   ┌───▼─────┐  ┌────▼────────────────┐                         │
│   │ Local   │  │    Orchestrator     │                         │
│   │Workers  │  │  ┌───────────────┐  │                         │
│   │(in-proc)│  │  │ Docker Sandbox│  │                         │
│   └───┬─────┘  │  │   Containers  │  │                         │
│       │        │  │ ┌───────────┐ │  │                         │
│       │        │  │ │Worker / CC│ │  │                         │
│       │        │  │ └───────────┘ │  │                         │
│       │        │  └───────────────┘  │                         │
│       │        └─────────┬───────────┘                         │
│       └──────────────────┤                                     │
│                          │                                     │
│              ┌───────────▼──────────┐                          │
│              │    Tool Registry     │                          │
│              │  Built-in, MCP, WASM │                          │
│              └──────────────────────┘                          │
└────────────────────────────────────────────────────────────────┘

Core Components

Component Purpose
Agent Loop Main message handling and job coordination
Router Classifies user intent (command, query, task)
Scheduler Manages parallel job execution with priorities
Worker Executes jobs with LLM reasoning and tool calls
Orchestrator Container lifecycle, LLM proxying, per-job auth
Web Gateway Browser UI with chat, memory, jobs, logs, extensions, routines
Routines Engine Scheduled (cron) and reactive (event, webhook) background tasks
Workspace Persistent memory with hybrid search
Safety Layer Prompt injection defense and content sanitization

Usage

# First-time setup (configures database, auth, etc.)
ironclaw onboard

# Start interactive REPL
cargo run

# With debug logging
RUST_LOG=ironclaw=debug cargo run

Development

# Format code
cargo fmt

# Lint
cargo clippy --all --benches --tests --examples --all-features

# Run tests
createdb ironclaw_test
cargo test

# Run specific test
cargo test test_name
  • Telegram channel: See docs/TELEGRAM_SETUP.md for setup and DM pairing.
  • Changing channel sources: Run ./channels-src/telegram/build.sh before cargo build so the updated WASM is bundled.

OpenClaw Heritage

IronClaw is a Rust reimplementation inspired by OpenClaw. See FEATURE_PARITY.md for the complete tracking matrix.

Key differences:

  • Rust vs TypeScript - Native performance, memory safety, single binary
  • WASM sandbox vs Docker - Lightweight, capability-based security
  • PostgreSQL vs SQLite - Production-ready persistence
  • Security-first design - Multiple defense layers, credential protection

License

Licensed under either of:

at your option.

S
Description
IronClaw is OpenClaw inspired implementation in Rust focused on privacy and security
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