feat(workflow): implement workflow graph system with node types and agent vertex

- Added `mod.rs` for the workflow graph system, outlining the structure and usage.
- Introduced `node.rs` defining various node types (Agent, Tool, Router, etc.) and their configurations.
- Created `vertices/agent.rs` implementing the `AgentVertex` for LLM-based processing with tool calling capabilities.
- Added `vertices/mod.rs` to organize vertex implementations.
- Implemented serialization and deserialization for node configurations using Serde.
- Included tests for node configurations and agent vertex functionality.
This commit is contained in:
HyunjunJeon
2026-01-02 12:34:02 +09:00
parent 755c7f1321
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*_api/
# AI
AGENTS.md
CLAUDE.md
GEMINI.md
QWEN.md
.serena/
# Others

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# Repository Guidelines
## Project Structure & Module Organization
- `research_agent/` contains the core Python agents, prompts, tools, and subagent utilities.
- `skills/` holds project-level skills as `SKILL.md` files (YAML frontmatter + instructions).
- `research_workspace/` is the agents working filesystem for generated outputs; keep it clean or example-only.
- `deep-agents-ui/` is the Next.js/React UI with source under `deep-agents-ui/src/`.
- `deepagents_sourcecode/` vendors upstream library sources for reference and comparison.
- `rust-research-agent/` is a standalone Rust tutorial agent with its own build/test flow.
- `langgraph.json` defines the LangGraph deployment entrypoint for the research agent.
## Build, Test, and Development Commands
Use the UI commands from `deep-agents-ui/` when working on the frontend:
```bash
cd deep-agents-ui && yarn install # install deps
cd deep-agents-ui && yarn dev # run local UI
cd deep-agents-ui && yarn build # production build
cd deep-agents-ui && yarn lint # eslint checks
cd deep-agents-ui && yarn format # prettier format
```
Python tooling is configured in `pyproject.toml` (ruff + mypy):
```bash
uv run ruff format .
uv run ruff check .
uv run mypy .
```
## Coding Style & Naming Conventions
- Python: follow ruff defaults and Google-style docstrings (see `pyproject.toml`); prefer `snake_case` modules and functions.
- TypeScript/React: keep `PascalCase` for components, `camelCase` for hooks/utilities; rely on ESLint + Prettier (Tailwind plugin).
- Skill definitions: keep one skill per directory with a `SKILL.md` entrypoint and clear, task-focused naming.
## Testing Guidelines
- There are no repository-wide tests for `research_agent/` yet; add `pytest` tests when introducing new logic.
- Subprojects have their own suites: see `deepagents_sourcecode/libs/*/Makefile` and `rust-research-agent/README.md` for `make test` or `cargo test`.
## Commit & Pull Request Guidelines
- Git history uses short, descriptive messages in English or Korean with no enforced prefix; keep summaries concise and imperative.
- For PRs, include: a brief summary, testing notes (or “not run”), linked issues, and UI screenshots for frontend changes.
## Configuration & Secrets
- Copy `env.example` to `.env` for API keys; never commit secrets.
- UI-only keys can be set via `NEXT_PUBLIC_LANGSMITH_API_KEY` in `deep-agents-ui/`.

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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
A multi-agent research system demonstrating **FileSystem-based Context Engineering** using LangChain's DeepAgents framework. The system includes:
- **Python DeepAgents**: LangChain-based multi-agent orchestration with web research capabilities
- **Rust `rig-deepagents`**: A port/reimagining using the Rig framework with Pregel-inspired graph execution
The system enables agents to conduct web research, delegate tasks to sub-agents, and generate comprehensive reports with persistent filesystem state.
## Development Commands
### Python Backend
```bash
# Install dependencies (uses uv package manager)
uv sync
# Start LangGraph development server (API on localhost:2024)
langgraph dev
# Linting and formatting
ruff check research_agent/
ruff format research_agent/
# Type checking
mypy research_agent/
```
### Frontend UI (deep-agents-ui/)
```bash
cd deep-agents-ui
yarn install
yarn dev # Dev server on localhost:3000
yarn build # Production build
yarn lint # ESLint
yarn format # Prettier
```
### Interactive Notebook Development
```bash
# Open Jupyter for interactive agent testing
jupyter notebook DeepAgent_research.ipynb
```
The `research_agent/utils.py` module provides Rich-formatted display helpers for notebooks:
- `format_messages(messages)` - Renders messages with colored panels (Human=blue, AI=green, Tool=yellow)
- `show_prompt(text, title)` - Displays prompts with XML/header syntax highlighting
### Rust `rig-deepagents` Crate
```bash
cd rust-research-agent/crates/rig-deepagents
# Run all tests (159 tests)
cargo test
# Run tests for a specific module
cargo test pregel:: # Pregel runtime tests
cargo test workflow:: # Workflow node tests
cargo test middleware:: # Middleware tests
# Linting (strict, treats warnings as errors)
cargo clippy -- -D warnings
# Build with optional features
cargo build --features checkpointer-sqlite
cargo build --features checkpointer-redis
cargo build --features checkpointer-postgres
```
### Running the Full Stack
1. Start backend: `langgraph dev` (port 2024)
2. Start frontend: `cd deep-agents-ui && yarn dev` (port 3000)
3. Configure UI with Deployment URL (`http://127.0.0.1:2024`) and Assistant ID (`research`)
## Required Environment Variables
Copy `env.example` to `.env`:
- `OPENAI_API_KEY` - For gpt-4.1 model
- `TAVILY_API_KEY` - For web search functionality
- `LANGSMITH_API_KEY` - Optional, format `lsv2_pt_...` for tracing
- `LANGSMITH_TRACING` / `LANGSMITH_PROJECT` - Optional tracing config
## Architecture
### Multi-SubAgent System
The system uses a three-tier agent hierarchy with two distinct SubAgent types:
```
Main Orchestrator Agent (agent.py)
├── FilesystemBackend (../research_workspace)
│ └── Persistent state via virtual filesystem
└── SubAgents
├── researcher (CompiledSubAgent) ─ Autonomous DeepAgent
│ └── "Breadth-first, then depth" research pattern
├── explorer (Simple SubAgent) ─ Fast read-only exploration
└── synthesizer (Simple SubAgent) ─ Research result integration
```
**CompiledSubAgent vs Simple SubAgent:**
| Type | Definition | Execution | Use Case |
|------|------------|-----------|----------|
| CompiledSubAgent | `{"runnable": CompiledStateGraph}` | Multi-turn autonomous | Complex research with self-planning |
| Simple SubAgent | `{"system_prompt": str}` | Single response | Quick tasks, file ops |
### Core Components
**`research_agent/agent.py`** - Orchestrator configuration:
- LLM: `ChatOpenAI(model="gpt-4.1", temperature=0.0)`
- Creates researcher via `get_researcher_subagent()` (CompiledSubAgent)
- Defines `explorer_agent`, `synthesizer_agent` (Simple SubAgents)
- Assembles `ALL_SUBAGENTS = [researcher_subagent, *SIMPLE_SUBAGENTS]`
**`research_agent/researcher/`** - Autonomous researcher module:
- `agent.py`: `create_researcher_agent()` factory and `get_researcher_subagent()` wrapper
- `prompts.py`: `AUTONOMOUS_RESEARCHER_INSTRUCTIONS` with three-phase workflow (Exploratory → Directed → Synthesis)
**Backend Factory Pattern** - The `backend_factory(rt: ToolRuntime)` function demonstrates the recommended pattern:
```python
CompositeBackend(
default=StateBackend(rt), # In-memory state (temporary files)
routes={"/": fs_backend} # Route "/" paths to FilesystemBackend
)
```
This enables routing: paths starting with "/" go to persistent local filesystem (`research_workspace/`), others use ephemeral state.
**`research_agent/prompts.py`** - Prompt templates:
- `RESEARCH_WORKFLOW_INSTRUCTIONS` - Main workflow (plan → save → delegate → synthesize → write → verify)
- `SUBAGENT_DELEGATION_INSTRUCTIONS` - When to parallelize (comparisons) vs single agent (overviews)
- `EXPLORER_INSTRUCTIONS` - Fast read-only exploration with filesystem tools
- `SYNTHESIZER_INSTRUCTIONS` - Multi-source integration with confidence levels
**`research_agent/tools.py`** - Research tools:
- `tavily_search(query, max_results, topic)` - Searches web, fetches full page content, converts to markdown
- `think_tool(reflection)` - Explicit reflection step for deliberate research
**`langgraph.json`** - Deployment config pointing to `./research_agent/agent.py:agent`
### Context Engineering Pattern
The filesystem acts as long-term memory:
1. Agent reads/writes files in virtual `research_workspace/`
2. Structured outputs: reports, TODOs, request files
3. Middleware auto-injects filesystem and sub-agent tools
4. Automatic context summarization for token efficiency
### DeepAgents Auto-Injected Tools
The `create_deep_agent()` function automatically adds these tools via middleware:
- **TodoListMiddleware**: `write_todos` - Task planning and progress tracking
- **FilesystemMiddleware**: `ls`, `read_file`, `write_file`, `edit_file`, `glob`, `grep` - File operations
- **SubAgentMiddleware**: `task` - Delegate work to sub-agents
- **SkillsMiddleware**: Progressive skill disclosure via `skills/` directory
Custom tools (`tavily_search`, `think_tool`) are added explicitly in `agent.py`.
### Skills System
Project-level skills are located in `PROJECT_ROOT/skills/`:
- `academic-search/` - arXiv paper search with structured output
- `data-synthesis/` - Multi-source data integration and analysis
- `report-writing/` - Structured report generation
- `skill-creator/` - Meta-skill for creating new skills
Each skill has a `SKILL.md` file with YAML frontmatter (name, description) and detailed instructions. The SkillsMiddleware uses Progressive Disclosure: only skill metadata is injected into the system prompt at session start; full skill content is read on-demand when needed.
### Research Workflow
**Orchestrator workflow:**
```
Plan → Save Request → Delegate to Sub-agents → Synthesize → Write Report → Verify
```
**Autonomous Researcher workflow (breadth-first, then depth):**
```
Phase 1: Exploratory Search (1-2 searches) → Identify directions
Phase 2: Directed Research (1-2 searches per direction) → Deep dive
Phase 3: Synthesis → Combine findings with source agreement analysis
```
Sub-agents operate with token budgets (5-6 max searches) and explicit reflection loops (Search → think_tool → Decide → Repeat).
## Rust `rig-deepagents` Architecture
The Rust crate provides a Pregel-inspired graph execution runtime for agent workflows.
### Module Structure
```
rust-research-agent/crates/rig-deepagents/src/
├── lib.rs # Library entry point and re-exports
├── pregel/ # Pregel Runtime (graph execution engine)
│ ├── runtime.rs # Superstep orchestration, workflow timeout, retry policies
│ ├── vertex.rs # Vertex trait and compute context
│ ├── message.rs # Inter-vertex message passing
│ ├── config.rs # PregelConfig, RetryPolicy
│ ├── checkpoint/ # Fault tolerance via checkpointing
│ │ ├── mod.rs # Checkpointer trait and factory
│ │ └── file.rs # FileCheckpointer implementation
│ └── state.rs # WorkflowState trait, UnitState
├── workflow/ # Workflow Builder DSL
│ ├── node.rs # NodeKind (Agent, Tool, Router, SubAgent, FanOut/FanIn)
│ └── mod.rs # WorkflowGraph builder API
├── middleware/ # AgentMiddleware trait and MiddlewareStack
├── backends/ # Backend trait (Memory, Filesystem, Composite)
├── llm/ # LLMProvider abstraction (OpenAI, Anthropic)
└── tools/ # Tool implementations (read_file, write_file, grep, etc.)
```
### Pregel Execution Model
The runtime executes workflows using synchronized supersteps:
```
┌─────────────────────────────────────────────────────────────┐
│ PregelRuntime │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
│ │Superstep│→ │Superstep│→ │Superstep│→ ... │
│ │ 0 │ │ 1 │ │ 2 │ │
│ └─────────┘ └─────────┘ └─────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ Per-Superstep: Deliver → Compute → Collect → Route │
└─────────────────────────────────────────────────────────────┘
```
- **Vertex**: Computation unit with `compute()` method (Agent, Tool, Router)
- **Message**: Communication between vertices across supersteps
- **Checkpointing**: Fault tolerance via periodic state snapshots
- **Retry Policy**: Exponential backoff with configurable max retries
### Key Types
| Type | Purpose |
|------|---------|
| `PregelRuntime<S, M>` | Executes workflow graph with state S and message M |
| `Vertex<S, M>` | Trait for computation nodes |
| `WorkflowState` | Trait for workflow state (must be serializable) |
| `PregelConfig` | Runtime configuration (max supersteps, parallelism, timeout) |
| `Checkpointer` | Trait for state persistence (Memory, File, SQLite, Redis, Postgres) |
### Design Documents
- `docs/plans/2026-01-02-rig-deepagents-pregel-design.md` - Comprehensive Pregel runtime design
- `docs/plans/2026-01-02-rig-deepagents-implementation-tasks.md` - Implementation task breakdown
## Key Files for Understanding the System
**Python DeepAgents:**
1. `research_agent/agent.py` - Orchestrator creation and SubAgent assembly
2. `research_agent/researcher/agent.py` - Autonomous researcher factory (CompiledSubAgent pattern)
3. `research_agent/researcher/prompts.py` - Three-phase autonomous workflow
4. `research_agent/prompts.py` - Orchestrator and Simple SubAgent prompts
5. `research_agent/tools.py` - Tool implementations
6. `research_agent/skills/middleware.py` - SkillsMiddleware with progressive disclosure
**Rust rig-deepagents:**
7. `rust-research-agent/crates/rig-deepagents/src/pregel/runtime.rs` - Pregel execution engine
8. `rust-research-agent/crates/rig-deepagents/src/pregel/vertex.rs` - Vertex abstraction
9. `rust-research-agent/crates/rig-deepagents/src/workflow/node.rs` - Node type definitions
10. `rust-research-agent/crates/rig-deepagents/src/llm/provider.rs` - LLMProvider trait
**Documentation:**
11. `DeepAgents_Technical_Guide.md` - Python DeepAgents reference (Korean)
12. `docs/plans/2026-01-02-rig-deepagents-pregel-design.md` - Rust Pregel design
## Tech Stack
- **Python 3.13**: deepagents, langchain-openai, langgraph-cli, tavily-python
- **Rust**: rig-core 0.27, tokio, serde, async-trait, thiserror
- **Frontend**: Next.js 16, React, TailwindCSS, Radix UI
- **Package managers**: uv (Python), Yarn (Node.js), Cargo (Rust)
## External Resources
- [LangChain DeepAgent Docs](https://docs.langchain.com/oss/python/deepagents/overview)
- [LangGraph CLI Docs](https://docs.langchain.com/langsmith/cli#configuration-file)
- [DeepAgent UI](https://github.com/langchain-ai/deep-agents-ui)

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# Rig-DeepAgents Code Review 수정 계획
> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.
**Goal:** Codex 및 Code Review에서 식별된 HIGH/MEDIUM 이슈를 수정하여 Python DeepAgents와의 패리티를 확보하고 프로덕션 준비 상태를 달성한다.
**Architecture:**
- MemoryBackend와 AgentState.files의 이중 소스 문제는 `files_update` 반환 패턴을 통해 해결 (Python 패턴 유지)
- 경로 처리는 중앙화된 `normalize_path` 유틸리티로 통일
- CompositeBackend의 glob/write/edit 결과 집계 및 경로 복원 로직 보강
**Tech Stack:** Rust 1.75+, tokio, async-trait, glob crate
**검증 피드백 출처:**
- Codex CLI (gpt-5.2-codex): 55,431 토큰 분석
- Code Reviewer Subagent: 독립 검증
---
## Phase 1: HIGH Severity 수정 (필수)
### Task 1.1: MemoryBackend glob() base_path 필터 적용
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/memory.rs:191-213`
- Test: 동일 파일 하단 tests 모듈
**문제:** `glob()``base_path`를 검증만 하고 실제 필터링에 사용하지 않아 모든 파일이 검색됨
**Step 1: 실패하는 테스트 작성**
`memory.rs` tests 모듈에 추가:
```rust
#[tokio::test]
async fn test_memory_backend_glob_respects_base_path() {
let backend = MemoryBackend::new();
backend.write("/src/main.rs", "fn main()").await.unwrap();
backend.write("/src/lib.rs", "pub mod").await.unwrap();
backend.write("/docs/readme.md", "# Readme").await.unwrap();
backend.write("/tests/test.rs", "test code").await.unwrap();
// /src 하위에서만 검색해야 함
let files = backend.glob("**/*.rs", "/src").await.unwrap();
// /src 하위의 .rs 파일만 포함되어야 함
assert_eq!(files.len(), 2);
assert!(files.iter().all(|f| f.path.starts_with("/src")));
// /tests/test.rs는 포함되면 안 됨
assert!(!files.iter().any(|f| f.path.contains("/tests/")));
}
```
**Step 2: 테스트 실패 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_memory_backend_glob_respects_base_path`
Expected: FAIL - 현재 구현은 모든 .rs 파일(4개)을 반환
**Step 3: glob() 구현 수정**
`memory.rs` 191-213 라인을 다음으로 교체:
```rust
async fn glob(&self, pattern: &str, base_path: &str) -> Result<Vec<FileInfo>, BackendError> {
let base = Self::validate_path(base_path)?;
let files = self.files.read().await;
let glob_pattern = Pattern::new(pattern)
.map_err(|e| BackendError::Pattern(e.to_string()))?;
let mut results = Vec::new();
for (file_path, data) in files.iter() {
// base_path 하위 파일만 검색
let normalized_base = base.trim_end_matches('/');
if !file_path.starts_with(normalized_base) {
continue;
}
// base_path와 정확히 같거나 base_path/ 로 시작해야 함
if file_path.len() > normalized_base.len()
&& !file_path[normalized_base.len()..].starts_with('/') {
continue;
}
let match_path = file_path.trim_start_matches('/');
if glob_pattern.matches(match_path) {
let size = data.content.iter().map(|s| s.len()).sum::<usize>() as u64;
results.push(FileInfo::file_with_time(
file_path,
size,
&data.modified_at,
));
}
}
results.sort_by(|a, b| a.path.cmp(&b.path));
Ok(results)
}
```
**Step 4: 테스트 통과 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_memory_backend_glob_respects_base_path`
Expected: PASS
**Step 5: 전체 테스트 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test`
Expected: 모든 테스트 PASS
---
### Task 1.2: CompositeBackend files_update 키 경로 복원
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/composite.rs:107-133`
- Test: 동일 파일 하단 tests 모듈
**문제:** routed backend에서 반환된 `files_update`의 키가 stripped 경로로 남아있어 상태 업데이트 시 경로 오류 발생
**Step 1: 실패하는 테스트 작성**
`composite.rs` tests 모듈에 추가:
```rust
#[tokio::test]
async fn test_composite_backend_write_files_update_path_restoration() {
let default = Arc::new(MemoryBackend::new());
let memories = Arc::new(MemoryBackend::new());
let composite = CompositeBackend::new(default.clone())
.with_route("/memories/", memories.clone());
// routed backend에 파일 쓰기
let result = composite.write("/memories/notes.txt", "my notes").await.unwrap();
assert!(result.is_ok());
assert_eq!(result.path, Some("/memories/notes.txt".to_string()));
// files_update가 있다면 키도 복원되어야 함
if let Some(files_update) = &result.files_update {
// 키가 /memories/notes.txt 여야 함 (stripped된 /notes.txt가 아님)
assert!(files_update.contains_key("/memories/notes.txt"),
"files_update key should be '/memories/notes.txt', got keys: {:?}",
files_update.keys().collect::<Vec<_>>());
}
}
#[tokio::test]
async fn test_composite_backend_edit_files_update_path_restoration() {
let default = Arc::new(MemoryBackend::new());
let memories = Arc::new(MemoryBackend::new());
let composite = CompositeBackend::new(default.clone())
.with_route("/memories/", memories.clone());
// 먼저 파일 생성
composite.write("/memories/notes.txt", "hello world").await.unwrap();
// 편집
let result = composite.edit("/memories/notes.txt", "hello", "goodbye", false).await.unwrap();
assert!(result.is_ok());
// files_update가 있다면 키도 복원되어야 함
if let Some(files_update) = &result.files_update {
assert!(files_update.contains_key("/memories/notes.txt"),
"files_update key should be '/memories/notes.txt', got keys: {:?}",
files_update.keys().collect::<Vec<_>>());
}
}
```
**Step 2: 테스트 실패 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_composite_backend_write_files_update`
Expected: FAIL - 키가 `/notes.txt`로 되어있음
**Step 3: write() 및 edit() 구현 수정**
`composite.rs`의 write() 메서드 (107-116 라인)를 다음으로 교체:
```rust
async fn write(&self, path: &str, content: &str) -> Result<WriteResult, BackendError> {
let (backend, stripped) = self.get_backend_and_path(path);
let mut result = backend.write(&stripped, content).await?;
// 경로 복원
if result.path.is_some() {
result.path = Some(path.to_string());
}
// files_update 키도 복원
if let Some(ref mut files_update) = result.files_update {
let restored: std::collections::HashMap<String, crate::state::FileData> = files_update
.drain()
.map(|(k, v)| (self.restore_prefix(&k, path), v))
.collect();
*files_update = restored;
}
Ok(result)
}
```
`composite.rs`의 edit() 메서드 (118-133 라인)를 다음으로 교체:
```rust
async fn edit(
&self,
path: &str,
old_string: &str,
new_string: &str,
replace_all: bool
) -> Result<EditResult, BackendError> {
let (backend, stripped) = self.get_backend_and_path(path);
let mut result = backend.edit(&stripped, old_string, new_string, replace_all).await?;
// 경로 복원
if result.path.is_some() {
result.path = Some(path.to_string());
}
// files_update 키도 복원
if let Some(ref mut files_update) = result.files_update {
let restored: std::collections::HashMap<String, crate::state::FileData> = files_update
.drain()
.map(|(k, v)| (self.restore_prefix(&k, path), v))
.collect();
*files_update = restored;
}
Ok(result)
}
```
**Step 4: 상단에 import 추가 확인**
`composite.rs` 상단에 `use crate::state::FileData;` 가 있는지 확인. 없으면 추가.
**Step 5: 테스트 통과 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_composite_backend`
Expected: 모든 composite 테스트 PASS
---
### Task 1.3: CompositeBackend glob() 집계 로직 추가
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/composite.rs:135-144`
- Test: 동일 파일 하단 tests 모듈
**문제:** glob()이 단일 백엔드만 쿼리하여 Python처럼 모든 백엔드 결과를 집계하지 않음
**Step 1: 실패하는 테스트 작성**
```rust
#[tokio::test]
async fn test_composite_backend_glob_aggregates_all_backends() {
let default = Arc::new(MemoryBackend::new());
let docs = Arc::new(MemoryBackend::new());
let composite = CompositeBackend::new(default.clone())
.with_route("/docs/", docs.clone());
// 각 백엔드에 파일 생성
composite.write("/src/main.rs", "fn main()").await.unwrap();
composite.write("/docs/guide.md", "# Guide").await.unwrap();
composite.write("/docs/api.md", "# API").await.unwrap();
// 루트에서 모든 .md 파일 검색 - 모든 백엔드에서 집계해야 함
let files = composite.glob("**/*.md", "/").await.unwrap();
// docs 백엔드의 2개 파일이 모두 포함되어야 함
assert_eq!(files.len(), 2, "Expected 2 .md files, got: {:?}", files);
assert!(files.iter().any(|f| f.path.contains("guide.md")));
assert!(files.iter().any(|f| f.path.contains("api.md")));
}
```
**Step 2: 테스트 실패 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_composite_backend_glob_aggregates`
Expected: FAIL - 현재는 default 백엔드만 검색
**Step 3: glob() 구현 수정**
`composite.rs`의 glob() 메서드 (135-144 라인)를 다음으로 교체:
```rust
async fn glob(&self, pattern: &str, base_path: &str) -> Result<Vec<FileInfo>, BackendError> {
// 특정 라우트 경로인 경우 해당 백엔드만 검색
for route in &self.routes {
let route_prefix = route.prefix.trim_end_matches('/');
if base_path.starts_with(route_prefix) &&
(base_path.len() == route_prefix.len() || base_path[route_prefix.len()..].starts_with('/')) {
let (backend, stripped) = self.get_backend_and_path(base_path);
let mut results = backend.glob(pattern, &stripped).await?;
for info in &mut results {
info.path = self.restore_prefix(&info.path, base_path);
}
return Ok(results);
}
}
// 루트 또는 라우트되지 않은 경로 - 모든 백엔드에서 집계
let mut all_results = self.default.glob(pattern, base_path).await?;
for route in &self.routes {
let mut route_results = route.backend.glob(pattern, "/").await?;
for info in &mut route_results {
let prefix = route.prefix.trim_end_matches('/');
info.path = format!("{}{}", prefix, info.path);
}
all_results.extend(route_results);
}
all_results.sort_by(|a, b| a.path.cmp(&b.path));
Ok(all_results)
}
```
**Step 4: 테스트 통과 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_composite_backend_glob`
Expected: PASS
---
### Task 1.4: AgentState.clone() extensions 경고 로그 추가
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/state.rs:169-180`
- Modify: `rust-research-agent/crates/rig-deepagents/Cargo.toml` (tracing 의존성 확인)
**문제:** clone() 시 extensions가 빈 HashMap으로 초기화되어 미들웨어 상태 손실
**Step 1: 현재 Clone 구현 확인**
`state.rs`의 Clone 구현 확인:
```rust
impl Clone for AgentState {
fn clone(&self) -> Self {
Self {
messages: self.messages.clone(),
todos: self.todos.clone(),
files: self.files.clone(),
structured_response: self.structured_response.clone(),
extensions: HashMap::new(), // 데이터 손실!
}
}
}
```
**Step 2: tracing import 추가**
`state.rs` 상단에 추가:
```rust
use tracing::warn;
```
**Step 3: Clone 구현에 경고 로그 추가**
`state.rs`의 Clone 구현을 다음으로 교체:
```rust
impl Clone for AgentState {
fn clone(&self) -> Self {
// extensions가 비어있지 않으면 경고
if !self.extensions.is_empty() {
warn!(
extension_count = self.extensions.len(),
extension_keys = ?self.extensions.keys().collect::<Vec<_>>(),
"AgentState.clone() called with non-empty extensions - extensions will be lost"
);
}
Self {
messages: self.messages.clone(),
todos: self.todos.clone(),
files: self.files.clone(),
structured_response: self.structured_response.clone(),
// extensions는 Box<dyn Any>를 clone할 수 없어서 빈 상태로 시작
// 향후 Arc<RwLock<_>> 패턴으로 개선 고려
extensions: HashMap::new(),
}
}
}
```
**Step 4: 컴파일 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo check`
Expected: 성공 (경고만 있을 수 있음)
---
## Phase 2: MEDIUM Severity 수정
### Task 2.1: 경로 정규화 유틸리티 추가 및 적용
**Files:**
- Create: `rust-research-agent/crates/rig-deepagents/src/backends/path_utils.rs`
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/mod.rs`
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/memory.rs`
**Step 1: path_utils.rs 생성**
```rust
// src/backends/path_utils.rs
//! 경로 정규화 유틸리티
//!
//! 모든 백엔드에서 일관된 경로 처리를 위한 헬퍼 함수들
use crate::error::BackendError;
/// 경로 정규화
/// - 앞에 `/` 추가
/// - 연속된 슬래시 제거 (`//` -> `/`)
/// - 후행 슬래시 제거 (루트 제외)
/// - 경로 순회 공격 방지
pub fn normalize_path(path: &str) -> Result<String, BackendError> {
// 경로 순회 공격 방지
if path.contains("..") || path.starts_with("~") {
return Err(BackendError::PathTraversal(path.to_string()));
}
// 빈 경로는 루트로
if path.is_empty() {
return Ok("/".to_string());
}
// 연속된 슬래시 제거
let parts: Vec<&str> = path.split('/')
.filter(|p| !p.is_empty())
.collect();
if parts.is_empty() {
return Ok("/".to_string());
}
Ok(format!("/{}", parts.join("/")))
}
/// 경로가 base_path 하위에 있는지 확인
/// `/dir`은 `/dir2`와 매칭되지 않음 (정확한 디렉토리 경계 확인)
pub fn is_under_path(path: &str, base_path: &str) -> bool {
let normalized_base = base_path.trim_end_matches('/');
if normalized_base.is_empty() || normalized_base == "/" {
return true; // 루트는 모든 경로 포함
}
if path == normalized_base {
return true; // 정확히 같은 경로
}
// base_path + "/" 로 시작해야 함
path.starts_with(&format!("{}/", normalized_base))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_normalize_path_basic() {
assert_eq!(normalize_path("/test.txt").unwrap(), "/test.txt");
assert_eq!(normalize_path("test.txt").unwrap(), "/test.txt");
assert_eq!(normalize_path("/dir/file.txt").unwrap(), "/dir/file.txt");
}
#[test]
fn test_normalize_path_double_slashes() {
assert_eq!(normalize_path("/dir//file.txt").unwrap(), "/dir/file.txt");
assert_eq!(normalize_path("//dir///file.txt").unwrap(), "/dir/file.txt");
}
#[test]
fn test_normalize_path_trailing_slash() {
assert_eq!(normalize_path("/dir/").unwrap(), "/dir");
assert_eq!(normalize_path("/").unwrap(), "/");
}
#[test]
fn test_normalize_path_traversal_attack() {
assert!(normalize_path("../etc/passwd").is_err());
assert!(normalize_path("/dir/../etc/passwd").is_err());
assert!(normalize_path("~/.ssh/id_rsa").is_err());
}
#[test]
fn test_is_under_path() {
assert!(is_under_path("/dir/file.txt", "/dir"));
assert!(is_under_path("/dir/sub/file.txt", "/dir"));
assert!(is_under_path("/dir", "/dir"));
assert!(is_under_path("/anything", "/"));
// /dir 은 /dir2 에 포함되지 않음
assert!(!is_under_path("/dir2/file.txt", "/dir"));
assert!(!is_under_path("/directory/file.txt", "/dir"));
}
}
```
**Step 2: mod.rs에 모듈 추가**
`backends/mod.rs` 수정:
```rust
// src/backends/mod.rs
//! 백엔드 모듈
//!
//! 파일시스템 추상화를 제공합니다.
pub mod protocol;
pub mod memory;
pub mod filesystem;
pub mod composite;
pub mod path_utils;
pub use protocol::{Backend, FileInfo, GrepMatch};
pub use memory::MemoryBackend;
pub use filesystem::FilesystemBackend;
pub use composite::CompositeBackend;
pub use path_utils::{normalize_path, is_under_path};
```
**Step 3: MemoryBackend에서 path_utils 사용**
`memory.rs` 상단 import 추가:
```rust
use super::path_utils::{normalize_path, is_under_path};
```
`memory.rs``validate_path` 함수를 제거하고 `normalize_path` 사용으로 교체:
기존:
```rust
fn validate_path(path: &str) -> Result<String, BackendError> { ... }
```
모든 `Self::validate_path(path)?` 호출을 `normalize_path(path)?`로 교체.
**Step 4: 테스트 실행**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test path_utils`
Expected: PASS
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test`
Expected: 모든 테스트 PASS
---
### Task 2.2: CompositeBackend 라우트 매칭 후행 슬래시 정규화
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/composite.rs:48-61`
**문제:** `/memories` 경로가 `/memories/` 라우트와 매칭되지 않음
**Step 1: 실패하는 테스트 작성**
```rust
#[tokio::test]
async fn test_composite_backend_route_matching_without_trailing_slash() {
let default = Arc::new(MemoryBackend::new());
let memories = Arc::new(MemoryBackend::new());
let composite = CompositeBackend::new(default.clone())
.with_route("/memories/", memories.clone());
// 후행 슬래시 없이도 라우트되어야 함
composite.write("/memories/notes.txt", "my notes").await.unwrap();
// /memories 경로로 읽기 (후행 슬래시 없음)
let files = composite.ls("/memories").await.unwrap();
assert!(!files.is_empty(), "Should find files under /memories route");
}
```
**Step 2: get_backend_and_path() 수정**
`composite.rs``get_backend_and_path` 메서드를 다음으로 교체:
```rust
/// 경로에 맞는 백엔드와 변환된 경로 반환
fn get_backend_and_path(&self, path: &str) -> (Arc<dyn Backend>, String) {
// 경로 정규화 (후행 슬래시 제거)
let normalized_path = path.trim_end_matches('/');
for route in &self.routes {
let route_prefix = route.prefix.trim_end_matches('/');
// 정확히 일치하거나 route_prefix/ 로 시작하는 경우
if normalized_path == route_prefix ||
normalized_path.starts_with(&format!("{}/", route_prefix)) {
let suffix = if normalized_path == route_prefix {
""
} else {
&normalized_path[route_prefix.len()..]
};
let stripped = if suffix.is_empty() {
"/".to_string()
} else {
suffix.to_string()
};
return (route.backend.clone(), stripped);
}
}
(self.default.clone(), path.to_string())
}
```
**Step 3: 테스트 통과 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test test_composite_backend_route_matching`
Expected: PASS
---
### Task 2.3: FilesystemBackend grep에서 tokio::fs 사용
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/backends/filesystem.rs:283-300`
**문제:** async 함수 내에서 sync `std::fs::read_to_string` 사용으로 런타임 블로킹
**Step 1: grep() 내부 파일 읽기를 async로 변경**
`filesystem.rs`의 grep 메서드에서 파일 읽기 부분을 수정.
기존:
```rust
let content = match std::fs::read_to_string(entry.path()) {
Ok(c) => c,
Err(_) => continue,
};
```
수정:
```rust
let content = match fs::read_to_string(entry.path()).await {
Ok(c) => c,
Err(e) => {
tracing::debug!(path = ?entry.path(), error = %e, "Skipping file in grep due to read error");
continue;
}
};
```
**Step 2: filesystem.rs 상단에 tracing import 추가**
```rust
use tracing;
```
**Step 3: 컴파일 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo check`
Expected: 성공
---
### Task 2.4: max_recursion 설정 가능하게 변경
**Files:**
- Modify: `rust-research-agent/crates/rig-deepagents/src/runtime.rs:41-48`
**Step 1: RuntimeConfig::new()에 기본값을 Python과 동일하게 수정**
```rust
impl RuntimeConfig {
pub fn new() -> Self {
Self {
debug: false,
max_recursion: 100, // Python 기본값에 가깝게 조정 (1000은 너무 높음)
current_recursion: 0,
}
}
/// 커스텀 재귀 제한으로 생성
pub fn with_max_recursion(max_recursion: usize) -> Self {
Self {
debug: false,
max_recursion,
current_recursion: 0,
}
}
}
```
**Step 2: 테스트 수정**
`runtime.rs`의 기존 테스트 `test_recursion_limit`를 수정:
```rust
#[test]
fn test_recursion_limit() {
let state = AgentState::new();
let backend = Arc::new(MemoryBackend::new());
// 커스텀 재귀 제한 사용
let config = RuntimeConfig::with_max_recursion(10);
let mut runtime = ToolRuntime::new(state, backend).with_config(config);
for _ in 0..10 {
runtime = runtime.with_increased_recursion();
}
assert!(runtime.is_recursion_limit_exceeded());
}
#[test]
fn test_default_recursion_limit() {
let state = AgentState::new();
let backend = Arc::new(MemoryBackend::new());
let runtime = ToolRuntime::new(state, backend);
// 기본 제한은 100
assert_eq!(runtime.config().max_recursion, 100);
}
```
**Step 3: 테스트 통과 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test runtime`
Expected: PASS
---
## Phase 3: 최종 검증
### Task 3.1: 전체 테스트 실행 및 검증
**Step 1: 전체 테스트 실행**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo test`
Expected: 모든 테스트 PASS (30개 이상)
**Step 2: Clippy 린트 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo clippy -- -D warnings`
Expected: 경고 없음 (또는 허용 가능한 경고만)
**Step 3: 문서 주석 확인**
Run: `source ~/.cargo/env && cd rust-research-agent/crates/rig-deepagents && cargo doc --no-deps`
Expected: 문서 생성 성공
---
### Task 3.2: 변경사항 커밋
**Step 1: 변경 파일 확인**
Run: `git status`
Expected: 수정된 Rust 파일들 표시
**Step 2: 커밋**
```bash
git add rust-research-agent/crates/rig-deepagents/
git commit -m "fix: address HIGH and MEDIUM severity issues from Codex/Code Review
HIGH fixes:
- glob() now respects base_path filtering (security fix)
- CompositeBackend write/edit restores files_update key paths
- CompositeBackend glob aggregates results from all backends
- AgentState.clone() logs warning when extensions lost
MEDIUM fixes:
- Add centralized path_utils for consistent path normalization
- CompositeBackend route matching normalizes trailing slashes
- FilesystemBackend grep uses async tokio::fs
- RuntimeConfig.max_recursion increased to 100 (was 10)
Verified by: Codex CLI (gpt-5.2-codex), Code Reviewer subagent"
```
---
## 수정 우선순위 요약
| 우선순위 | Task | 예상 시간 | 위험도 |
|---------|------|----------|--------|
| 1 | Task 1.1: glob base_path 필터 | 5분 | Low |
| 2 | Task 1.2: files_update 키 복원 | 5분 | Low |
| 3 | Task 1.3: glob 집계 로직 | 10분 | Medium |
| 4 | Task 1.4: clone extensions 경고 | 5분 | Low |
| 5 | Task 2.1: path_utils 유틸리티 | 15분 | Low |
| 6 | Task 2.2: 라우트 매칭 정규화 | 5분 | Low |
| 7 | Task 2.3: async grep | 5분 | Low |
| 8 | Task 2.4: max_recursion 설정 | 5분 | Low |
| 9 | Task 3.1: 최종 검증 | 5분 | N/A |
| 10 | Task 3.2: 커밋 | 2분 | N/A |
**총 예상 시간:** 약 60분

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View File

@@ -5,6 +5,12 @@ edition = "2021"
description = "DeepAgents-style middleware system for Rig framework"
license = "MIT"
[features]
default = []
checkpointer-sqlite = []
checkpointer-redis = []
checkpointer-postgres = []
[dependencies]
rig-core = { version = "0.27", features = ["derive"] }
tokio = { version = "1", features = ["full", "sync"] }
@@ -20,12 +26,18 @@ uuid = { version = "1", features = ["v4"] }
walkdir = "2" # Added: needed for FilesystemBackend recursive traversal
futures = "0.3" # Added: needed for LLMProvider streaming support
# Pregel runtime dependencies
num_cpus = "1" # For default parallelism configuration
humantime-serde = "1" # For Duration serialization in configs
zstd = "0.13" # For checkpoint compression
[dev-dependencies]
# OpenAI support is built into rig-core
tokio-test = "0.4"
dotenv = "0.15"
criterion = { version = "0.5", features = ["async_tokio"] }
tempfile = "3" # For filesystem tests
static_assertions = "1" # For compile-time trait checks
[[bench]]
name = "middleware_benchmark"

View File

@@ -32,6 +32,8 @@ pub mod runtime;
pub mod executor;
pub mod tools;
pub mod llm;
pub mod pregel;
pub mod workflow;
// Re-exports for convenience
pub use error::{BackendError, MiddlewareError, DeepAgentError, WriteResult, EditResult};

View File

@@ -0,0 +1,438 @@
//! File-based Checkpointer Implementation
//!
//! Stores checkpoints as JSON files in a directory structure.
//! Supports optional compression via zstd for reduced storage.
//!
//! # Directory Structure
//!
//! ```text
//! checkpoints/
//! └── {workflow_id}/
//! ├── checkpoint_00001.json[.zst]
//! ├── checkpoint_00005.json[.zst]
//! └── checkpoint_00010.json[.zst]
//! ```
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::io::Write;
use std::path::{Path, PathBuf};
use tokio::fs;
use tokio::io::{AsyncReadExt, AsyncWriteExt};
use super::{Checkpoint, Checkpointer};
use crate::pregel::error::PregelError;
use crate::pregel::state::WorkflowState;
/// File-based checkpointer that stores checkpoints as JSON files.
///
/// Each checkpoint is stored in a separate file, named by superstep number.
/// Atomic writes are ensured via temporary file + rename pattern.
#[derive(Debug)]
pub struct FileCheckpointer {
/// Workflow-specific subdirectory
workflow_path: PathBuf,
/// Whether to compress checkpoints with zstd
compression: bool,
}
impl FileCheckpointer {
/// Create a new file-based checkpointer.
///
/// # Arguments
///
/// * `base_path` - Base directory for storing checkpoints
/// * `workflow_id` - Unique identifier for this workflow
/// * `compression` - Whether to compress checkpoint data
pub fn new(base_path: impl Into<PathBuf>, workflow_id: impl AsRef<str>, compression: bool) -> Self {
let base_path = base_path.into();
let workflow_path = base_path.join(workflow_id.as_ref());
Self {
workflow_path,
compression,
}
}
/// Get the file path for a checkpoint at a given superstep
fn checkpoint_path(&self, superstep: usize) -> PathBuf {
let filename = if self.compression {
format!("checkpoint_{:05}.json.zst", superstep)
} else {
format!("checkpoint_{:05}.json", superstep)
};
self.workflow_path.join(filename)
}
/// Get the temporary file path for atomic writes
fn temp_path(&self, superstep: usize) -> PathBuf {
let filename = format!("checkpoint_{:05}.tmp", superstep);
self.workflow_path.join(filename)
}
/// Ensure the checkpoint directory exists
async fn ensure_dir(&self) -> Result<(), PregelError> {
fs::create_dir_all(&self.workflow_path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to create directory: {}", e)))
}
/// Compress data using zstd
fn compress(data: &[u8]) -> Result<Vec<u8>, PregelError> {
let mut encoder = zstd::stream::Encoder::new(Vec::new(), 3)
.map_err(|e| PregelError::checkpoint_error(format!("Compression init failed: {}", e)))?;
encoder
.write_all(data)
.map_err(|e| PregelError::checkpoint_error(format!("Compression write failed: {}", e)))?;
encoder
.finish()
.map_err(|e| PregelError::checkpoint_error(format!("Compression finish failed: {}", e)))
}
/// Decompress data using zstd
fn decompress(data: &[u8]) -> Result<Vec<u8>, PregelError> {
zstd::stream::decode_all(data)
.map_err(|e| PregelError::checkpoint_error(format!("Decompression failed: {}", e)))
}
/// Parse superstep number from filename
fn parse_superstep(path: &Path) -> Option<usize> {
let filename = path.file_name()?.to_str()?;
if !filename.starts_with("checkpoint_") {
return None;
}
// Extract the number between "checkpoint_" and the extension
let num_part = filename
.strip_prefix("checkpoint_")?
.split('.')
.next()?;
num_part.parse().ok()
}
/// List all superstep numbers (non-generic helper method)
async fn list_supersteps(&self) -> Result<Vec<usize>, PregelError> {
if !self.workflow_path.exists() {
return Ok(Vec::new());
}
let mut entries = fs::read_dir(&self.workflow_path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to read directory: {}", e)))?;
let mut supersteps = Vec::new();
while let Some(entry) = entries
.next_entry()
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to read entry: {}", e)))?
{
if let Some(superstep) = Self::parse_superstep(&entry.path()) {
supersteps.push(superstep);
}
}
supersteps.sort();
Ok(supersteps)
}
}
#[async_trait]
impl<S> Checkpointer<S> for FileCheckpointer
where
S: WorkflowState + Clone + Send + Sync + Serialize + for<'de> Deserialize<'de>,
{
async fn save(&self, checkpoint: &Checkpoint<S>) -> Result<(), PregelError> {
self.ensure_dir().await?;
// Serialize checkpoint
let json = serde_json::to_vec_pretty(checkpoint)
.map_err(|e| PregelError::checkpoint_error(format!("Serialization failed: {}", e)))?;
// Optionally compress
let data = if self.compression {
Self::compress(&json)?
} else {
json
};
// Write to temp file first (atomic write pattern)
let temp_path = self.temp_path(checkpoint.superstep);
let final_path = self.checkpoint_path(checkpoint.superstep);
let mut file = fs::File::create(&temp_path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to create temp file: {}", e)))?;
file.write_all(&data)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to write data: {}", e)))?;
file.sync_all()
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to sync file: {}", e)))?;
// Atomic rename
fs::rename(&temp_path, &final_path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to rename file: {}", e)))?;
Ok(())
}
async fn load(&self, superstep: usize) -> Result<Option<Checkpoint<S>>, PregelError> {
let path = self.checkpoint_path(superstep);
if !path.exists() {
return Ok(None);
}
let mut file = fs::File::open(&path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to open file: {}", e)))?;
let mut data = Vec::new();
file.read_to_end(&mut data)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to read file: {}", e)))?;
// Decompress if needed
let json = if self.compression {
Self::decompress(&data)?
} else {
data
};
let checkpoint: Checkpoint<S> = serde_json::from_slice(&json)
.map_err(|e| PregelError::checkpoint_error(format!("Deserialization failed: {}", e)))?;
Ok(Some(checkpoint))
}
async fn latest(&self) -> Result<Option<Checkpoint<S>>, PregelError> {
// Use our own list_supersteps to avoid type inference issues
let supersteps = self.list_supersteps().await?;
match supersteps.last() {
Some(&superstep) => self.load(superstep).await,
None => Ok(None),
}
}
async fn list(&self) -> Result<Vec<usize>, PregelError> {
self.list_supersteps().await
}
async fn delete(&self, superstep: usize) -> Result<(), PregelError> {
let path = self.checkpoint_path(superstep);
if path.exists() {
fs::remove_file(&path)
.await
.map_err(|e| PregelError::checkpoint_error(format!("Failed to delete file: {}", e)))?;
}
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::pregel::state::UnitState;
use crate::pregel::vertex::{VertexId, VertexState};
use std::collections::HashMap;
use tempfile::tempdir;
#[tokio::test]
async fn test_file_checkpointer_save_load() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
let checkpoint = Checkpoint::new(
"test-workflow",
5,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
let loaded: Checkpoint<UnitState> = checkpointer.load(5).await.unwrap().unwrap();
assert_eq!(loaded.superstep, 5);
assert_eq!(loaded.workflow_id, "test-workflow");
}
#[tokio::test]
async fn test_file_checkpointer_with_compression() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "compressed-workflow", true);
// Create a checkpoint with some data
let mut vertex_states = HashMap::new();
vertex_states.insert(VertexId::new("vertex1"), VertexState::Active);
vertex_states.insert(VertexId::new("vertex2"), VertexState::Halted);
let checkpoint = Checkpoint::new(
"compressed-workflow",
10,
UnitState,
vertex_states,
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
// Verify the file is compressed (has .zst extension)
let path = temp_dir.path().join("compressed-workflow/checkpoint_00010.json.zst");
assert!(path.exists());
// Load and verify
let loaded: Checkpoint<UnitState> = checkpointer.load(10).await.unwrap().unwrap();
assert_eq!(loaded.superstep, 10);
assert_eq!(loaded.vertex_states.len(), 2);
}
#[tokio::test]
async fn test_file_checkpointer_load_nonexistent() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
let result: Option<Checkpoint<UnitState>> = checkpointer.load(999).await.unwrap();
assert!(result.is_none());
}
#[tokio::test]
async fn test_file_checkpointer_list() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
// Save checkpoints at supersteps 5, 1, 10 (out of order)
for superstep in [5, 1, 10] {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
let list = <FileCheckpointer as Checkpointer<UnitState>>::list(&checkpointer).await.unwrap();
assert_eq!(list, vec![1, 5, 10]); // Should be sorted
}
#[tokio::test]
async fn test_file_checkpointer_latest() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
// Save checkpoints
for superstep in [1, 5, 3] {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
let latest: Checkpoint<UnitState> = checkpointer.latest().await.unwrap().unwrap();
assert_eq!(latest.superstep, 5);
}
#[tokio::test]
async fn test_file_checkpointer_delete() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
let checkpoint = Checkpoint::new(
"test-workflow",
5,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
// Verify exists
let exists: Option<Checkpoint<UnitState>> = checkpointer.load(5).await.unwrap();
assert!(exists.is_some());
// Delete
<FileCheckpointer as Checkpointer<UnitState>>::delete(&checkpointer, 5).await.unwrap();
// Verify gone
let gone: Option<Checkpoint<UnitState>> = checkpointer.load(5).await.unwrap();
assert!(gone.is_none());
}
#[tokio::test]
async fn test_file_checkpointer_prune() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
// Create 5 checkpoints
for superstep in 1..=5 {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
// Prune to keep only 2
let deleted = <FileCheckpointer as Checkpointer<UnitState>>::prune(&checkpointer, 2).await.unwrap();
assert_eq!(deleted, 3);
let remaining = <FileCheckpointer as Checkpointer<UnitState>>::list(&checkpointer).await.unwrap();
assert_eq!(remaining, vec![4, 5]);
}
#[tokio::test]
async fn test_file_checkpointer_atomic_write() {
let temp_dir = tempdir().unwrap();
let checkpointer = FileCheckpointer::new(temp_dir.path(), "test-workflow", false);
let checkpoint = Checkpoint::new(
"test-workflow",
7,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
// Verify no temp file remains
let temp_path = temp_dir.path().join("test-workflow/checkpoint_00007.tmp");
assert!(!temp_path.exists());
// Verify final file exists
let final_path = temp_dir.path().join("test-workflow/checkpoint_00007.json");
assert!(final_path.exists());
}
#[test]
fn test_parse_superstep() {
assert_eq!(
FileCheckpointer::parse_superstep(Path::new("checkpoint_00005.json")),
Some(5)
);
assert_eq!(
FileCheckpointer::parse_superstep(Path::new("checkpoint_00123.json.zst")),
Some(123)
);
assert_eq!(
FileCheckpointer::parse_superstep(Path::new("other_file.json")),
None
);
}
}

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@@ -0,0 +1,551 @@
//! Checkpointing System for Pregel Runtime
//!
//! Provides durable state persistence for fault-tolerant workflow execution.
//! Checkpoints capture the complete workflow state at superstep boundaries,
//! enabling recovery from failures without losing progress.
//!
//! # Architecture
//!
//! ```text
//! ┌─────────────────────────────────────────────────────────────┐
//! │ Checkpointer │
//! │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
//! │ │ File │ │ SQLite │ │ Redis │ │ Postgres │ │
//! │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
//! │ │ │ │ │ │
//! │ └────────────┴────────────┴────────────┘ │
//! │ │ │
//! │ ▼ │
//! │ Checkpoint<S: WorkflowState> │
//! └─────────────────────────────────────────────────────────────┘
//! ```
//!
//! # Usage
//!
//! ```ignore
//! use rig_deepagents::pregel::checkpoint::{Checkpointer, CheckpointerConfig, create_checkpointer};
//!
//! // Create a file-based checkpointer
//! let config = CheckpointerConfig::File {
//! path: PathBuf::from("./checkpoints"),
//! compression: true,
//! };
//! let checkpointer = create_checkpointer::<MyState>(config)?;
//!
//! // Save a checkpoint
//! checkpointer.save(&checkpoint).await?;
//!
//! // Load the latest checkpoint
//! if let Some(checkpoint) = checkpointer.latest().await? {
//! // Resume from checkpoint
//! }
//! ```
mod file;
pub use file::FileCheckpointer;
use async_trait::async_trait;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::fmt::Debug;
use std::path::PathBuf;
use super::error::PregelError;
use super::message::WorkflowMessage;
use super::state::WorkflowState;
use super::vertex::{VertexId, VertexState};
/// A checkpoint captures the complete workflow state at a superstep boundary.
///
/// Checkpoints are the foundation of fault tolerance in the Pregel runtime.
/// They capture:
/// - The workflow state (user-defined data)
/// - The state of each vertex (Active, Halted, Completed)
/// - Pending messages that haven't been delivered yet
/// - Metadata for debugging and recovery
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Checkpoint<S>
where
S: WorkflowState,
{
/// Unique identifier for the workflow instance
pub workflow_id: String,
/// The superstep number when this checkpoint was created
pub superstep: usize,
/// The workflow state at this superstep
pub state: S,
/// The state of each vertex (Active, Halted, Completed)
pub vertex_states: HashMap<VertexId, VertexState>,
/// Pending messages waiting to be delivered in the next superstep
pub pending_messages: HashMap<VertexId, Vec<WorkflowMessage>>,
/// When this checkpoint was created
pub timestamp: DateTime<Utc>,
/// Optional metadata for debugging or external tools
#[serde(default)]
pub metadata: HashMap<String, String>,
}
impl<S> Checkpoint<S>
where
S: WorkflowState,
{
/// Create a new checkpoint
pub fn new(
workflow_id: impl Into<String>,
superstep: usize,
state: S,
vertex_states: HashMap<VertexId, VertexState>,
pending_messages: HashMap<VertexId, Vec<WorkflowMessage>>,
) -> Self {
Self {
workflow_id: workflow_id.into(),
superstep,
state,
vertex_states,
pending_messages,
timestamp: Utc::now(),
metadata: HashMap::new(),
}
}
/// Add metadata to this checkpoint
pub fn with_metadata(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
self.metadata.insert(key.into(), value.into());
self
}
/// Check if this checkpoint is empty (no vertex states or messages)
pub fn is_empty(&self) -> bool {
self.vertex_states.is_empty() && self.pending_messages.is_empty()
}
/// Get the total number of pending messages across all vertices
pub fn pending_message_count(&self) -> usize {
self.pending_messages.values().map(|v| v.len()).sum()
}
}
/// Trait for checkpointing workflow state.
///
/// Implementations provide durable storage for checkpoints, enabling
/// recovery from failures and inspection of workflow history.
#[async_trait]
pub trait Checkpointer<S>: Send + Sync
where
S: WorkflowState + Send + Sync,
{
/// Save a checkpoint.
///
/// Implementations should ensure atomic writes to prevent corruption.
async fn save(&self, checkpoint: &Checkpoint<S>) -> Result<(), PregelError>;
/// Load a checkpoint by superstep number.
///
/// Returns `None` if no checkpoint exists for that superstep.
async fn load(&self, superstep: usize) -> Result<Option<Checkpoint<S>>, PregelError>;
/// Load the latest checkpoint.
///
/// Returns `None` if no checkpoints exist.
async fn latest(&self) -> Result<Option<Checkpoint<S>>, PregelError>;
/// List all available checkpoint superstep numbers, sorted ascending.
async fn list(&self) -> Result<Vec<usize>, PregelError>;
/// Delete a specific checkpoint.
async fn delete(&self, superstep: usize) -> Result<(), PregelError>;
/// Prune checkpoints, keeping only the most recent `keep` checkpoints.
///
/// This is useful for managing storage space in long-running workflows.
async fn prune(&self, keep: usize) -> Result<usize, PregelError> {
let checkpoints = self.list().await?;
let to_delete = checkpoints.len().saturating_sub(keep);
let mut deleted = 0;
for superstep in checkpoints.into_iter().take(to_delete) {
self.delete(superstep).await?;
deleted += 1;
}
Ok(deleted)
}
/// Clear all checkpoints for this workflow.
async fn clear(&self) -> Result<(), PregelError> {
for superstep in self.list().await? {
self.delete(superstep).await?;
}
Ok(())
}
}
/// Configuration for creating checkpointers.
///
/// Use with `create_checkpointer()` to instantiate the appropriate backend.
#[derive(Debug, Clone, Default)]
pub enum CheckpointerConfig {
/// In-memory checkpointing (for testing only, not durable)
#[default]
Memory,
/// File-based checkpointing
File {
/// Directory to store checkpoint files
path: PathBuf,
/// Whether to compress checkpoint data (uses zstd)
compression: bool,
},
/// SQLite-based checkpointing (requires `checkpointer-sqlite` feature)
#[cfg(feature = "checkpointer-sqlite")]
Sqlite {
/// Path to the SQLite database file, or `:memory:` for in-memory
path: String,
},
/// Redis-based checkpointing (requires `checkpointer-redis` feature)
#[cfg(feature = "checkpointer-redis")]
Redis {
/// Redis connection URL
url: String,
/// TTL for checkpoint keys (optional)
ttl_seconds: Option<u64>,
},
/// PostgreSQL-based checkpointing (requires `checkpointer-postgres` feature)
#[cfg(feature = "checkpointer-postgres")]
Postgres {
/// PostgreSQL connection URL
url: String,
},
}
/// In-memory checkpointer for testing.
///
/// This implementation stores checkpoints in memory and is not durable.
/// Use only for testing or development.
#[derive(Debug, Default)]
pub struct MemoryCheckpointer<S>
where
S: WorkflowState,
{
checkpoints: tokio::sync::RwLock<HashMap<usize, Checkpoint<S>>>,
}
impl<S> MemoryCheckpointer<S>
where
S: WorkflowState,
{
/// Create a new in-memory checkpointer
pub fn new() -> Self {
Self {
checkpoints: tokio::sync::RwLock::new(HashMap::new()),
}
}
}
#[async_trait]
impl<S> Checkpointer<S> for MemoryCheckpointer<S>
where
S: WorkflowState + Clone + Send + Sync,
{
async fn save(&self, checkpoint: &Checkpoint<S>) -> Result<(), PregelError> {
let mut checkpoints = self.checkpoints.write().await;
checkpoints.insert(checkpoint.superstep, checkpoint.clone());
Ok(())
}
async fn load(&self, superstep: usize) -> Result<Option<Checkpoint<S>>, PregelError> {
let checkpoints = self.checkpoints.read().await;
Ok(checkpoints.get(&superstep).cloned())
}
async fn latest(&self) -> Result<Option<Checkpoint<S>>, PregelError> {
let checkpoints = self.checkpoints.read().await;
let max_superstep = checkpoints.keys().max().copied();
match max_superstep {
Some(superstep) => Ok(checkpoints.get(&superstep).cloned()),
None => Ok(None),
}
}
async fn list(&self) -> Result<Vec<usize>, PregelError> {
let checkpoints = self.checkpoints.read().await;
let mut supersteps: Vec<usize> = checkpoints.keys().copied().collect();
supersteps.sort();
Ok(supersteps)
}
async fn delete(&self, superstep: usize) -> Result<(), PregelError> {
let mut checkpoints = self.checkpoints.write().await;
checkpoints.remove(&superstep);
Ok(())
}
}
/// Create a checkpointer from configuration.
///
/// This factory function creates the appropriate checkpointer backend
/// based on the provided configuration.
///
/// # Example
///
/// ```ignore
/// let config = CheckpointerConfig::File {
/// path: PathBuf::from("./checkpoints"),
/// compression: true,
/// };
/// let checkpointer = create_checkpointer::<MyState>(config, "workflow-123")?;
/// ```
pub fn create_checkpointer<S>(
config: CheckpointerConfig,
workflow_id: impl Into<String>,
) -> Result<Box<dyn Checkpointer<S>>, PregelError>
where
S: WorkflowState + Clone + Send + Sync + Serialize + for<'de> Deserialize<'de> + 'static,
{
let workflow_id = workflow_id.into();
match config {
CheckpointerConfig::Memory => Ok(Box::new(MemoryCheckpointer::<S>::new())),
CheckpointerConfig::File { path, compression } => {
let checkpointer = FileCheckpointer::new(path, workflow_id, compression);
Ok(Box::new(checkpointer))
}
#[cfg(feature = "checkpointer-sqlite")]
CheckpointerConfig::Sqlite { path } => {
// SQLite checkpointer will be implemented in Task 8.2.3
Err(PregelError::not_implemented("SQLite checkpointer"))
}
#[cfg(feature = "checkpointer-redis")]
CheckpointerConfig::Redis { url, ttl_seconds } => {
// Redis checkpointer will be implemented in Task 8.2.4
Err(PregelError::not_implemented("Redis checkpointer"))
}
#[cfg(feature = "checkpointer-postgres")]
CheckpointerConfig::Postgres { url } => {
// PostgreSQL checkpointer will be implemented in Task 8.2.5
Err(PregelError::not_implemented("PostgreSQL checkpointer"))
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::pregel::state::UnitState;
#[test]
fn test_checkpoint_creation() {
let checkpoint = Checkpoint::new(
"test-workflow",
5,
UnitState,
HashMap::new(),
HashMap::new(),
);
assert_eq!(checkpoint.workflow_id, "test-workflow");
assert_eq!(checkpoint.superstep, 5);
assert!(checkpoint.is_empty());
assert_eq!(checkpoint.pending_message_count(), 0);
}
#[test]
fn test_checkpoint_with_metadata() {
let checkpoint = Checkpoint::new(
"test-workflow",
10,
UnitState,
HashMap::new(),
HashMap::new(),
)
.with_metadata("version", "1.0")
.with_metadata("creator", "test");
assert_eq!(checkpoint.metadata.get("version"), Some(&"1.0".to_string()));
assert_eq!(checkpoint.metadata.get("creator"), Some(&"test".to_string()));
}
#[test]
fn test_checkpoint_with_vertex_states() {
let mut vertex_states = HashMap::new();
vertex_states.insert(VertexId::new("a"), VertexState::Active);
vertex_states.insert(VertexId::new("b"), VertexState::Halted);
let checkpoint = Checkpoint::new(
"test-workflow",
3,
UnitState,
vertex_states,
HashMap::new(),
);
assert!(!checkpoint.is_empty());
assert_eq!(checkpoint.vertex_states.len(), 2);
}
#[test]
fn test_checkpoint_pending_message_count() {
let mut pending_messages = HashMap::new();
pending_messages.insert(
VertexId::new("a"),
vec![WorkflowMessage::Activate, WorkflowMessage::Activate],
);
pending_messages.insert(
VertexId::new("b"),
vec![WorkflowMessage::Activate],
);
let checkpoint = Checkpoint::new(
"test-workflow",
7,
UnitState,
HashMap::new(),
pending_messages,
);
assert_eq!(checkpoint.pending_message_count(), 3);
}
#[tokio::test]
async fn test_memory_checkpointer_save_load() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
let checkpoint = Checkpoint::new(
"test-workflow",
5,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
let loaded = checkpointer.load(5).await.unwrap().unwrap();
assert_eq!(loaded.superstep, 5);
assert_eq!(loaded.workflow_id, "test-workflow");
}
#[tokio::test]
async fn test_memory_checkpointer_latest() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
// Save checkpoints at supersteps 1, 3, 5
for superstep in [1, 3, 5] {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
let latest = checkpointer.latest().await.unwrap().unwrap();
assert_eq!(latest.superstep, 5);
}
#[tokio::test]
async fn test_memory_checkpointer_list() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
// Save checkpoints at supersteps 5, 1, 3 (out of order)
for superstep in [5, 1, 3] {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
let list = checkpointer.list().await.unwrap();
assert_eq!(list, vec![1, 3, 5]); // Should be sorted
}
#[tokio::test]
async fn test_memory_checkpointer_delete() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
let checkpoint = Checkpoint::new(
"test-workflow",
5,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
checkpointer.delete(5).await.unwrap();
let loaded = checkpointer.load(5).await.unwrap();
assert!(loaded.is_none());
}
#[tokio::test]
async fn test_memory_checkpointer_prune() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
// Save 5 checkpoints
for superstep in 1..=5 {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
// Prune to keep only 2
let deleted = checkpointer.prune(2).await.unwrap();
assert_eq!(deleted, 3);
let remaining = checkpointer.list().await.unwrap();
assert_eq!(remaining, vec![4, 5]);
}
#[tokio::test]
async fn test_memory_checkpointer_clear() {
let checkpointer = MemoryCheckpointer::<UnitState>::new();
for superstep in 1..=3 {
let checkpoint = Checkpoint::new(
"test-workflow",
superstep,
UnitState,
HashMap::new(),
HashMap::new(),
);
checkpointer.save(&checkpoint).await.unwrap();
}
checkpointer.clear().await.unwrap();
let list = checkpointer.list().await.unwrap();
assert!(list.is_empty());
}
#[test]
fn test_checkpointer_config_default() {
let config = CheckpointerConfig::default();
assert!(matches!(config, CheckpointerConfig::Memory));
}
}

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//! Pregel runtime configuration
//!
//! Configuration for the Pregel execution engine including
//! parallelism, timeouts, checkpointing, and retry policies.
use serde::{Deserialize, Serialize};
use std::time::Duration;
/// Pregel runtime configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PregelConfig {
/// Maximum supersteps before forced termination
pub max_supersteps: usize,
/// Maximum concurrent vertex computations
pub parallelism: usize,
/// Checkpoint frequency (every N supersteps, 0 = disabled)
pub checkpoint_interval: usize,
/// Timeout for individual vertex computation
#[serde(with = "humantime_serde")]
pub vertex_timeout: Duration,
/// Timeout for entire workflow
#[serde(with = "humantime_serde")]
pub workflow_timeout: Duration,
/// Enable detailed tracing
pub tracing_enabled: bool,
/// Retry policy for failed vertices
pub retry_policy: RetryPolicy,
}
impl Default for PregelConfig {
fn default() -> Self {
Self {
max_supersteps: 100,
parallelism: num_cpus::get(),
checkpoint_interval: 10,
vertex_timeout: Duration::from_secs(300), // 5 min per vertex
workflow_timeout: Duration::from_secs(3600), // 1 hour total
tracing_enabled: true,
retry_policy: RetryPolicy::default(),
}
}
}
impl PregelConfig {
/// Create a new config with defaults
pub fn new() -> Self {
Self::default()
}
/// Set maximum supersteps
pub fn with_max_supersteps(mut self, max: usize) -> Self {
self.max_supersteps = max;
self
}
/// Set parallelism level
pub fn with_parallelism(mut self, parallelism: usize) -> Self {
self.parallelism = parallelism.max(1);
self
}
/// Set checkpoint interval (0 to disable)
pub fn with_checkpoint_interval(mut self, interval: usize) -> Self {
self.checkpoint_interval = interval;
self
}
/// Set vertex timeout
pub fn with_vertex_timeout(mut self, timeout: Duration) -> Self {
self.vertex_timeout = timeout;
self
}
/// Set workflow timeout
pub fn with_workflow_timeout(mut self, timeout: Duration) -> Self {
self.workflow_timeout = timeout;
self
}
/// Enable or disable tracing
pub fn with_tracing(mut self, enabled: bool) -> Self {
self.tracing_enabled = enabled;
self
}
/// Set retry policy
pub fn with_retry_policy(mut self, policy: RetryPolicy) -> Self {
self.retry_policy = policy;
self
}
/// Check if checkpointing is enabled
pub fn checkpointing_enabled(&self) -> bool {
self.checkpoint_interval > 0
}
/// Check if a checkpoint should be taken at this superstep
#[allow(clippy::manual_is_multiple_of)] // Using % for compatibility with older Rust versions
pub fn should_checkpoint(&self, superstep: usize) -> bool {
self.checkpointing_enabled() && superstep > 0 && superstep % self.checkpoint_interval == 0
}
}
/// Retry policy for failed vertex computations
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RetryPolicy {
/// Maximum retry attempts
pub max_retries: usize,
/// Base delay for exponential backoff
#[serde(with = "humantime_serde")]
pub backoff_base: Duration,
/// Maximum delay between retries
#[serde(with = "humantime_serde")]
pub backoff_max: Duration,
}
impl Default for RetryPolicy {
fn default() -> Self {
Self {
max_retries: 3,
backoff_base: Duration::from_millis(100),
backoff_max: Duration::from_secs(10),
}
}
}
impl RetryPolicy {
/// Create a new retry policy
pub fn new(max_retries: usize) -> Self {
Self {
max_retries,
..Default::default()
}
}
/// Set backoff base duration
pub fn with_backoff_base(mut self, base: Duration) -> Self {
self.backoff_base = base;
self
}
/// Set maximum backoff duration
pub fn with_backoff_max(mut self, max: Duration) -> Self {
self.backoff_max = max;
self
}
/// Calculate delay for a given retry attempt (exponential backoff)
pub fn delay_for_attempt(&self, attempt: usize) -> Duration {
let multiplier = 2u32.saturating_pow(attempt as u32);
let delay = self.backoff_base.saturating_mul(multiplier);
delay.min(self.backoff_max)
}
/// Check if more retries are allowed
pub fn should_retry(&self, attempts: usize) -> bool {
attempts < self.max_retries
}
/// Create a no-retry policy
pub fn no_retry() -> Self {
Self {
max_retries: 0,
..Default::default()
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_default_config() {
let config = PregelConfig::default();
assert_eq!(config.max_supersteps, 100);
assert!(config.parallelism > 0);
assert_eq!(config.checkpoint_interval, 10);
assert!(config.tracing_enabled);
}
#[test]
fn test_config_builder() {
let config = PregelConfig::default()
.with_max_supersteps(50)
.with_parallelism(4)
.with_checkpoint_interval(5);
assert_eq!(config.max_supersteps, 50);
assert_eq!(config.parallelism, 4);
assert_eq!(config.checkpoint_interval, 5);
}
#[test]
fn test_parallelism_minimum() {
let config = PregelConfig::default().with_parallelism(0);
assert_eq!(config.parallelism, 1);
}
#[test]
fn test_checkpointing_enabled() {
let config = PregelConfig::default();
assert!(config.checkpointing_enabled());
let disabled = config.with_checkpoint_interval(0);
assert!(!disabled.checkpointing_enabled());
}
#[test]
fn test_should_checkpoint() {
let config = PregelConfig::default().with_checkpoint_interval(5);
assert!(!config.should_checkpoint(0));
assert!(!config.should_checkpoint(1));
assert!(config.should_checkpoint(5));
assert!(config.should_checkpoint(10));
assert!(!config.should_checkpoint(7));
}
#[test]
fn test_retry_policy_default() {
let policy = RetryPolicy::default();
assert_eq!(policy.max_retries, 3);
assert!(policy.should_retry(0));
assert!(policy.should_retry(2));
assert!(!policy.should_retry(3));
}
#[test]
fn test_retry_backoff() {
let policy = RetryPolicy::default();
let delay0 = policy.delay_for_attempt(0);
let delay1 = policy.delay_for_attempt(1);
let delay2 = policy.delay_for_attempt(2);
assert_eq!(delay0, Duration::from_millis(100));
assert_eq!(delay1, Duration::from_millis(200));
assert_eq!(delay2, Duration::from_millis(400));
}
#[test]
fn test_retry_backoff_max() {
let policy = RetryPolicy::default().with_backoff_max(Duration::from_millis(300));
let delay_high = policy.delay_for_attempt(10);
assert_eq!(delay_high, Duration::from_millis(300));
}
#[test]
fn test_no_retry_policy() {
let policy = RetryPolicy::no_retry();
assert!(!policy.should_retry(0));
}
#[test]
fn test_config_with_timeouts() {
let config = PregelConfig::default()
.with_vertex_timeout(Duration::from_secs(60))
.with_workflow_timeout(Duration::from_secs(120));
assert_eq!(config.vertex_timeout, Duration::from_secs(60));
assert_eq!(config.workflow_timeout, Duration::from_secs(120));
}
}

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//! Error types for Pregel runtime
//!
//! Comprehensive error handling for the Pregel execution engine.
use super::vertex::VertexId;
use thiserror::Error;
/// Errors that can occur during Pregel runtime execution
#[derive(Debug, Error)]
pub enum PregelError {
/// Maximum supersteps exceeded
#[error("Max supersteps exceeded: {0}")]
MaxSuperstepsExceeded(usize),
/// Vertex computation timed out
#[error("Vertex timeout: {0:?}")]
VertexTimeout(VertexId),
/// Error during vertex computation
#[error("Vertex error in {vertex_id:?}: {message}")]
VertexError {
vertex_id: VertexId,
message: String,
#[source]
source: Option<Box<dyn std::error::Error + Send + Sync>>,
},
/// Error during routing decision
#[error("Routing error in {vertex_id:?}: {decision}")]
RoutingError { vertex_id: VertexId, decision: String },
/// Recursion depth limit exceeded
#[error("Recursion limit in {vertex_id:?}: depth {depth}, limit {limit}")]
RecursionLimit {
vertex_id: VertexId,
depth: usize,
limit: usize,
},
/// Error in workflow state management
#[error("State error: {0}")]
StateError(String),
/// Error in checkpointing
#[error("Checkpoint error: {0}")]
CheckpointError(String),
/// Feature not yet implemented
#[error("Not implemented: {0}")]
NotImplemented(String),
/// Invalid workflow configuration
#[error("Configuration error: {0}")]
ConfigError(String),
/// Message delivery failed
#[error("Message delivery failed: {0}")]
MessageDeliveryError(String),
/// Workflow terminated by user
#[error("Workflow cancelled")]
Cancelled,
/// Workflow execution timed out
#[error("Workflow timeout after {0:?}")]
WorkflowTimeout(std::time::Duration),
/// Maximum retry attempts exceeded for a vertex
#[error("Max retries exceeded for vertex {vertex_id:?}: {attempts} attempts")]
MaxRetriesExceeded { vertex_id: VertexId, attempts: usize },
}
impl PregelError {
/// Create a vertex error with a message
pub fn vertex_error(vertex_id: impl Into<VertexId>, message: impl Into<String>) -> Self {
Self::VertexError {
vertex_id: vertex_id.into(),
message: message.into(),
source: None,
}
}
/// Create a vertex error with source
pub fn vertex_error_with_source(
vertex_id: impl Into<VertexId>,
message: impl Into<String>,
source: impl std::error::Error + Send + Sync + 'static,
) -> Self {
Self::VertexError {
vertex_id: vertex_id.into(),
message: message.into(),
source: Some(Box::new(source)),
}
}
/// Create a routing error
pub fn routing_error(vertex_id: impl Into<VertexId>, decision: impl Into<String>) -> Self {
Self::RoutingError {
vertex_id: vertex_id.into(),
decision: decision.into(),
}
}
/// Create a recursion limit error
pub fn recursion_limit(vertex_id: impl Into<VertexId>, depth: usize, limit: usize) -> Self {
Self::RecursionLimit {
vertex_id: vertex_id.into(),
depth,
limit,
}
}
/// Check if the error is recoverable
pub fn is_recoverable(&self) -> bool {
matches!(
self,
PregelError::VertexTimeout(_)
| PregelError::VertexError { .. }
| PregelError::MessageDeliveryError(_)
)
}
/// Check if the error is a timeout
pub fn is_timeout(&self) -> bool {
matches!(self, PregelError::VertexTimeout(_))
}
/// Create a checkpoint error
pub fn checkpoint_error(message: impl Into<String>) -> Self {
Self::CheckpointError(message.into())
}
/// Create a not implemented error
pub fn not_implemented(feature: impl Into<String>) -> Self {
Self::NotImplemented(feature.into())
}
/// Create a state error
pub fn state_error(message: impl Into<String>) -> Self {
Self::StateError(message.into())
}
/// Create a config error
pub fn config_error(message: impl Into<String>) -> Self {
Self::ConfigError(message.into())
}
/// Create a workflow timeout error
pub fn workflow_timeout(duration: std::time::Duration) -> Self {
Self::WorkflowTimeout(duration)
}
/// Create a max retries exceeded error
pub fn max_retries_exceeded(vertex_id: impl Into<VertexId>, attempts: usize) -> Self {
Self::MaxRetriesExceeded {
vertex_id: vertex_id.into(),
attempts,
}
}
}
#[cfg(test)]
mod tests {
// Ensure errors are Send + Sync (compile-time check)
static_assertions::assert_impl_all!(super::PregelError: Send, Sync);
use super::*;
#[test]
fn test_error_display() {
let err = PregelError::MaxSuperstepsExceeded(100);
assert_eq!(format!("{}", err), "Max supersteps exceeded: 100");
}
#[test]
fn test_vertex_error() {
let err = PregelError::vertex_error("node1", "computation failed");
match err {
PregelError::VertexError {
vertex_id,
message,
source,
} => {
assert_eq!(vertex_id.0, "node1");
assert_eq!(message, "computation failed");
assert!(source.is_none());
}
_ => panic!("Wrong error type"),
}
}
#[test]
fn test_vertex_timeout() {
let err = PregelError::VertexTimeout(VertexId::from("slow_node"));
assert!(format!("{}", err).contains("slow_node"));
assert!(err.is_timeout());
}
#[test]
fn test_routing_error() {
let err = PregelError::routing_error("router", "no matching branch");
match err {
PregelError::RoutingError { vertex_id, decision } => {
assert_eq!(vertex_id.0, "router");
assert_eq!(decision, "no matching branch");
}
_ => panic!("Wrong error type"),
}
}
#[test]
fn test_recursion_limit() {
let err = PregelError::recursion_limit("nested_agent", 6, 5);
match err {
PregelError::RecursionLimit {
vertex_id,
depth,
limit,
} => {
assert_eq!(vertex_id.0, "nested_agent");
assert_eq!(depth, 6);
assert_eq!(limit, 5);
}
_ => panic!("Wrong error type"),
}
}
#[test]
fn test_is_recoverable() {
assert!(PregelError::VertexTimeout(VertexId::from("x")).is_recoverable());
assert!(PregelError::vertex_error("x", "err").is_recoverable());
assert!(PregelError::MessageDeliveryError("err".into()).is_recoverable());
assert!(!PregelError::MaxSuperstepsExceeded(100).is_recoverable());
assert!(!PregelError::Cancelled.is_recoverable());
assert!(!PregelError::recursion_limit("x", 5, 3).is_recoverable());
}
#[test]
fn test_errors_are_send_sync() {
fn assert_send_sync<T: Send + Sync>() {}
assert_send_sync::<PregelError>();
}
}

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//! Message types for Pregel vertex communication
//!
//! Vertices communicate by sending messages to each other.
//! Messages are delivered at the start of each superstep.
use serde::{Deserialize, Serialize};
use super::vertex::VertexId;
/// Trait bound for vertex messages
pub trait VertexMessage: Clone + Send + Sync + 'static {}
/// Priority level for research directions
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, Serialize, Deserialize)]
pub enum Priority {
High,
#[default]
Medium,
Low,
}
/// Source information for research findings
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Source {
/// URL of the source
pub url: String,
/// Title of the source
pub title: String,
/// Relevance score (0.0 to 1.0)
pub relevance: f32,
}
impl Source {
/// Create a new source
pub fn new(url: impl Into<String>, title: impl Into<String>, relevance: f32) -> Self {
Self {
url: url.into(),
title: title.into(),
relevance: relevance.clamp(0.0, 1.0),
}
}
}
/// Standard message types for workflow coordination
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum WorkflowMessage {
/// Trigger vertex activation
Activate,
/// Pass data between vertices
Data {
key: String,
value: serde_json::Value,
},
/// Signal completion of upstream work
Completed {
source: VertexId,
result: Option<String>,
},
/// Request vertex to halt
Halt,
/// Research-specific: share findings
ResearchFinding {
query: String,
sources: Vec<Source>,
summary: String,
},
/// Research-specific: suggest new direction
ResearchDirection {
topic: String,
priority: Priority,
rationale: String,
},
}
impl VertexMessage for WorkflowMessage {}
impl WorkflowMessage {
/// Create a Data message
pub fn data(key: impl Into<String>, value: impl Serialize) -> Self {
Self::Data {
key: key.into(),
value: serde_json::to_value(value).unwrap_or(serde_json::Value::Null),
}
}
/// Create a Completed message
pub fn completed(source: impl Into<VertexId>, result: Option<String>) -> Self {
Self::Completed {
source: source.into(),
result,
}
}
/// Create a ResearchFinding message
pub fn research_finding(
query: impl Into<String>,
sources: Vec<Source>,
summary: impl Into<String>,
) -> Self {
Self::ResearchFinding {
query: query.into(),
sources,
summary: summary.into(),
}
}
/// Create a ResearchDirection message
pub fn research_direction(
topic: impl Into<String>,
priority: Priority,
rationale: impl Into<String>,
) -> Self {
Self::ResearchDirection {
topic: topic.into(),
priority,
rationale: rationale.into(),
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use serde_json::json;
#[test]
fn test_workflow_message_serialization() {
let msg = WorkflowMessage::Data {
key: "query".into(),
value: json!("test query"),
};
let json_str = serde_json::to_string(&msg).unwrap();
let deserialized: WorkflowMessage = serde_json::from_str(&json_str).unwrap();
// Verify roundtrip
match deserialized {
WorkflowMessage::Data { key, value } => {
assert_eq!(key, "query");
assert_eq!(value, json!("test query"));
}
_ => panic!("Wrong variant"),
}
}
#[test]
fn test_research_finding_message() {
let msg = WorkflowMessage::ResearchFinding {
query: "rust async".into(),
sources: vec![Source {
url: "https://example.com".into(),
title: "Example".into(),
relevance: 0.95,
}],
summary: "Rust async is great".into(),
};
assert!(matches!(msg, WorkflowMessage::ResearchFinding { .. }));
}
#[test]
fn test_research_direction_message() {
let msg = WorkflowMessage::research_direction(
"async runtimes",
Priority::High,
"Important for understanding concurrency",
);
match msg {
WorkflowMessage::ResearchDirection {
topic,
priority,
rationale,
} => {
assert_eq!(topic, "async runtimes");
assert_eq!(priority, Priority::High);
assert!(!rationale.is_empty());
}
_ => panic!("Wrong variant"),
}
}
#[test]
fn test_source_relevance_clamping() {
let source = Source::new("https://test.com", "Test", 1.5);
assert_eq!(source.relevance, 1.0);
let source = Source::new("https://test.com", "Test", -0.5);
assert_eq!(source.relevance, 0.0);
}
#[test]
fn test_completed_message() {
let msg = WorkflowMessage::completed("planner", Some("Plan complete".to_string()));
match msg {
WorkflowMessage::Completed { source, result } => {
assert_eq!(source.0, "planner");
assert_eq!(result, Some("Plan complete".to_string()));
}
_ => panic!("Wrong variant"),
}
}
#[test]
fn test_data_message_helper() {
let msg = WorkflowMessage::data("count", 42);
match msg {
WorkflowMessage::Data { key, value } => {
assert_eq!(key, "count");
assert_eq!(value, json!(42));
}
_ => panic!("Wrong variant"),
}
}
#[test]
fn test_priority_default() {
assert_eq!(Priority::default(), Priority::Medium);
}
#[test]
fn test_activate_and_halt() {
let activate = WorkflowMessage::Activate;
let halt = WorkflowMessage::Halt;
assert!(matches!(activate, WorkflowMessage::Activate));
assert!(matches!(halt, WorkflowMessage::Halt));
}
}

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//! Pregel Runtime for Graph-Based Agent Orchestration
//!
//! This module implements a Pregel-inspired runtime for executing agent workflows.
//! Key concepts:
//!
//! - **Vertex**: Computation unit (Agent, Tool, Router, etc.)
//! - **Edge**: Connection between vertices (Direct, Conditional)
//! - **Superstep**: Synchronized execution phase
//! - **Message**: Communication between vertices
//!
//! # Architecture
//!
//! ```text
//! ┌─────────────────────────────────────────────────────────────┐
//! │ PregelRuntime │
//! │ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
//! │ │Superstep│→ │Superstep│→ │Superstep│→ ... │
//! │ │ 0 │ │ 1 │ │ 2 │ │
//! │ └─────────┘ └─────────┘ └─────────┘ │
//! │ │ │ │ │
//! │ ▼ ▼ ▼ │
//! │ ┌─────────────────────────────────────────────────────┐ │
//! │ │ Per-Superstep: Deliver → Compute → Collect → Route │ │
//! │ └─────────────────────────────────────────────────────┘ │
//! └─────────────────────────────────────────────────────────────┘
//! ```
pub mod vertex;
pub mod message;
pub mod config;
pub mod error;
pub mod state;
pub mod runtime;
pub mod checkpoint;
// Re-exports
pub use vertex::{
BoxedVertex, ComputeContext, ComputeResult, StateUpdate, Vertex, VertexId, VertexState,
};
pub use message::{Priority, Source, VertexMessage, WorkflowMessage};
pub use config::{PregelConfig, RetryPolicy};
pub use error::PregelError;
pub use state::{UnitState, UnitUpdate, WorkflowState};
pub use runtime::{PregelRuntime, WorkflowResult};
pub use checkpoint::{Checkpoint, Checkpointer, CheckpointerConfig, MemoryCheckpointer, FileCheckpointer, create_checkpointer};

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//! Pregel Runtime - Core execution engine for workflow graphs
//!
//! The runtime executes workflows through synchronized supersteps.
//! Each superstep follows the sequence: Deliver → Compute → Collect → Route.
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::{Mutex, Semaphore};
use tokio::time::timeout;
use super::config::PregelConfig;
use super::error::PregelError;
use super::message::VertexMessage;
use super::state::WorkflowState;
use super::vertex::{BoxedVertex, ComputeContext, ComputeResult, VertexId, VertexState};
/// Result of a workflow execution
#[derive(Debug, Clone)]
pub struct WorkflowResult<S: WorkflowState> {
/// Final workflow state
pub state: S,
/// Number of supersteps executed
pub supersteps: usize,
/// Whether the workflow completed successfully
pub completed: bool,
/// Final states of all vertices
pub vertex_states: HashMap<VertexId, VertexState>,
}
/// Pregel Runtime for executing workflow graphs
///
/// Manages the execution of vertices through synchronized supersteps,
/// handling message passing, state updates, and termination detection.
pub struct PregelRuntime<S, M>
where
S: WorkflowState,
M: VertexMessage,
{
/// Configuration for the runtime
config: PregelConfig,
/// Vertices in the workflow graph
vertices: HashMap<VertexId, BoxedVertex<S, M>>,
/// Current state of each vertex
vertex_states: HashMap<VertexId, VertexState>,
/// Pending messages for each vertex (delivered at start of next superstep)
message_queues: HashMap<VertexId, Vec<M>>,
/// Edges defining message routing (source -> targets)
edges: HashMap<VertexId, Vec<VertexId>>,
/// Retry attempt counts per vertex (for retry policy enforcement)
retry_counts: HashMap<VertexId, usize>,
}
impl<S, M> PregelRuntime<S, M>
where
S: WorkflowState,
M: VertexMessage,
{
/// Create a new runtime with default configuration
pub fn new() -> Self {
Self::with_config(PregelConfig::default())
}
/// Create a new runtime with custom configuration
pub fn with_config(config: PregelConfig) -> Self {
Self {
config,
vertices: HashMap::new(),
vertex_states: HashMap::new(),
message_queues: HashMap::new(),
edges: HashMap::new(),
retry_counts: HashMap::new(),
}
}
/// Add a vertex to the runtime
pub fn add_vertex(&mut self, vertex: BoxedVertex<S, M>) -> &mut Self {
let id = vertex.id().clone();
self.vertex_states.insert(id.clone(), VertexState::Active);
self.message_queues.insert(id.clone(), Vec::new());
self.vertices.insert(id, vertex);
self
}
/// Add an edge between vertices
pub fn add_edge(&mut self, from: impl Into<VertexId>, to: impl Into<VertexId>) -> &mut Self {
let from = from.into();
let to = to.into();
self.edges.entry(from).or_default().push(to);
self
}
/// Set the entry point (activate this vertex on start)
pub fn set_entry(&mut self, entry: impl Into<VertexId>) -> &mut Self {
let entry = entry.into();
if let Some(state) = self.vertex_states.get_mut(&entry) {
*state = VertexState::Active;
}
self
}
/// Get the configuration
pub fn config(&self) -> &PregelConfig {
&self.config
}
/// Run the workflow to completion
///
/// Enforces the configured `workflow_timeout` - if the workflow takes longer
/// than this duration, it will return a `WorkflowTimeout` error.
pub async fn run(&mut self, initial_state: S) -> Result<WorkflowResult<S>, PregelError> {
let workflow_timeout = self.config.workflow_timeout;
// C2 Fix: Wrap entire run loop with workflow timeout
match timeout(workflow_timeout, self.run_inner(initial_state)).await {
Ok(result) => result,
Err(_) => Err(PregelError::WorkflowTimeout(workflow_timeout)),
}
}
/// Internal run loop (extracted for timeout wrapping)
async fn run_inner(&mut self, initial_state: S) -> Result<WorkflowResult<S>, PregelError> {
let mut state = initial_state;
let mut superstep = 0;
loop {
// Check max supersteps limit
if superstep >= self.config.max_supersteps {
return Err(PregelError::MaxSuperstepsExceeded(superstep));
}
// Check if workflow should terminate
if self.should_terminate(&state) {
return Ok(WorkflowResult {
state,
supersteps: superstep,
completed: true,
vertex_states: self.vertex_states.clone(),
});
}
// Execute one superstep
let updates = self.execute_superstep(superstep, &state).await?;
// Apply state updates
state = state.apply_updates(updates);
superstep += 1;
}
}
/// Check if the workflow should terminate
fn should_terminate(&self, state: &S) -> bool {
// Terminal state check
if state.is_terminal() {
return true;
}
// All vertices halted or completed AND no pending messages
let all_inactive = self
.vertex_states
.values()
.all(|s| !s.is_active());
let no_pending_messages = self
.message_queues
.values()
.all(|q| q.is_empty());
all_inactive && no_pending_messages
}
/// Execute a single superstep
async fn execute_superstep(
&mut self,
superstep: usize,
state: &S,
) -> Result<Vec<S::Update>, PregelError> {
// 1. Deliver messages - move pending messages to vertex inboxes
let inboxes = self.deliver_messages();
// 2. Reactivate halted vertices that received messages
for (vertex_id, messages) in &inboxes {
if !messages.is_empty() {
if let Some(vertex_state) = self.vertex_states.get_mut(vertex_id) {
if vertex_state.is_halted() {
if let Some(vertex) = self.vertices.get(vertex_id) {
*vertex_state = vertex.on_reactivation(messages);
}
}
}
}
}
// 3. Compute active vertices in parallel
let (updates, outboxes) = self.compute_vertices(superstep, state, &inboxes).await?;
// 4. Route messages to next superstep queues
self.route_messages(outboxes);
Ok(updates)
}
/// Deliver pending messages to vertex inboxes
fn deliver_messages(&mut self) -> HashMap<VertexId, Vec<M>> {
let mut inboxes = HashMap::new();
for (vertex_id, queue) in &mut self.message_queues {
if !queue.is_empty() {
inboxes.insert(vertex_id.clone(), std::mem::take(queue));
} else {
inboxes.insert(vertex_id.clone(), Vec::new());
}
}
inboxes
}
/// Compute all active vertices in parallel
async fn compute_vertices(
&mut self,
superstep: usize,
state: &S,
inboxes: &HashMap<VertexId, Vec<M>>,
) -> Result<(Vec<S::Update>, HashMap<VertexId, HashMap<VertexId, Vec<M>>>), PregelError> {
let semaphore = Arc::new(Semaphore::new(self.config.parallelism));
let updates = Arc::new(Mutex::new(Vec::new()));
let outboxes = Arc::new(Mutex::new(HashMap::new()));
let vertex_timeout = self.config.vertex_timeout;
// Collect active vertices to compute
let active_vertices: Vec<_> = self
.vertex_states
.iter()
.filter(|(_, state)| state.is_active())
.map(|(id, _)| id.clone())
.collect();
// Execute vertices in parallel
let mut handles = Vec::new();
for vertex_id in active_vertices {
let vertex = match self.vertices.get(&vertex_id) {
Some(v) => Arc::clone(v),
None => continue,
};
let messages = inboxes.get(&vertex_id).cloned().unwrap_or_default();
let state_clone = state.clone();
let sem_clone = Arc::clone(&semaphore);
let vid = vertex_id.clone();
let handle = tokio::spawn(async move {
// Acquire semaphore permit for parallelism control
let _permit = sem_clone.acquire().await.unwrap();
// Create compute context
let mut ctx = ComputeContext::new(vid.clone(), &messages, superstep, &state_clone);
// Execute with timeout
let result: Result<ComputeResult<S::Update>, PregelError> = match timeout(
vertex_timeout,
vertex.compute(&mut ctx),
)
.await
{
Ok(result) => result,
Err(_) => Err(PregelError::VertexTimeout(vid.clone())),
};
let outbox = ctx.into_outbox();
(vid, result, outbox)
});
handles.push(handle);
}
// Collect results
let mut new_vertex_states = HashMap::new();
for handle in handles {
let (vid, result, outbox) = handle.await.map_err(|e| {
PregelError::vertex_error_with_source(
"unknown",
"task join error",
std::io::Error::other(e.to_string()),
)
})?;
match result {
Ok(compute_result) => {
// Success: reset retry count for this vertex
self.retry_counts.remove(&vid);
updates.lock().await.push(compute_result.update);
new_vertex_states.insert(vid.clone(), compute_result.state);
outboxes.lock().await.insert(vid, outbox);
}
Err(e) => {
if e.is_recoverable() {
// C3 Fix: Track retry attempts and enforce max_retries
// retry_count tracks how many retries we've already attempted
let retry_count = self.retry_counts.entry(vid.clone()).or_insert(0);
// Check if we can retry BEFORE incrementing
if self.config.retry_policy.should_retry(*retry_count) {
// Apply backoff delay before next retry
let delay = self.config.retry_policy.delay_for_attempt(*retry_count);
tokio::time::sleep(delay).await;
// Track this retry attempt
*retry_count += 1;
// Keep vertex active for retry
new_vertex_states.insert(vid, VertexState::Active);
} else {
// Max retries exceeded (current attempt is retry_count + 1 total)
return Err(PregelError::MaxRetriesExceeded {
vertex_id: vid,
attempts: *retry_count + 1, // +1 for the current failed attempt
});
}
} else {
return Err(e);
}
}
}
}
// Update vertex states
for (vid, new_state) in new_vertex_states {
self.vertex_states.insert(vid, new_state);
}
// C1 Fix: Use async-safe lock instead of blocking_lock
let final_updates = match Arc::try_unwrap(updates) {
Ok(mutex) => mutex.into_inner(),
Err(arc) => arc.lock().await.clone(),
};
let final_outboxes = match Arc::try_unwrap(outboxes) {
Ok(mutex) => mutex.into_inner(),
Err(arc) => arc.lock().await.clone(),
};
Ok((final_updates, final_outboxes))
}
/// Route outgoing messages to target vertex queues
fn route_messages(&mut self, outboxes: HashMap<VertexId, HashMap<VertexId, Vec<M>>>) {
for (_source, outbox) in outboxes {
for (target, messages) in outbox {
if let Some(queue) = self.message_queues.get_mut(&target) {
queue.extend(messages);
}
}
}
}
}
impl<S, M> Default for PregelRuntime<S, M>
where
S: WorkflowState,
M: VertexMessage,
{
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use super::super::message::WorkflowMessage;
use super::super::vertex::{StateUpdate, Vertex};
use async_trait::async_trait;
use tokio::time::Duration;
#[allow(unused_imports)]
use super::super::state::WorkflowState as _;
// Test state
#[derive(Clone, Default, Debug)]
struct TestState {
counter: i32,
messages_received: i32,
}
#[derive(Clone, Debug)]
struct TestUpdate {
counter_delta: i32,
messages_delta: i32,
}
impl StateUpdate for TestUpdate {
fn empty() -> Self {
TestUpdate {
counter_delta: 0,
messages_delta: 0,
}
}
fn is_empty(&self) -> bool {
self.counter_delta == 0 && self.messages_delta == 0
}
}
impl WorkflowState for TestState {
type Update = TestUpdate;
fn apply_update(&self, update: Self::Update) -> Self {
TestState {
counter: self.counter + update.counter_delta,
messages_received: self.messages_received + update.messages_delta,
}
}
fn merge_updates(updates: Vec<Self::Update>) -> Self::Update {
TestUpdate {
counter_delta: updates.iter().map(|u| u.counter_delta).sum(),
messages_delta: updates.iter().map(|u| u.messages_delta).sum(),
}
}
fn is_terminal(&self) -> bool {
self.counter >= 10
}
}
// Simple vertex that increments counter and halts
struct IncrementVertex {
id: VertexId,
#[allow(dead_code)]
increment: i32,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for IncrementVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
_ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Just halt immediately
Ok(ComputeResult::halt(TestUpdate::empty()))
}
}
// Vertex that sends a message then halts
struct MessageSenderVertex {
id: VertexId,
target: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for MessageSenderVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
if ctx.is_first_superstep() {
ctx.send_message(self.target.clone(), WorkflowMessage::Activate);
}
Ok(ComputeResult::halt(TestUpdate::empty()))
}
}
// Vertex that counts messages received
struct MessageReceiverVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for MessageReceiverVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
_ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Just halt after receiving messages
Ok(ComputeResult::halt(TestUpdate::empty()))
}
}
#[tokio::test]
async fn test_runtime_creation() {
let runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
assert_eq!(runtime.config().max_supersteps, 100);
}
#[tokio::test]
async fn test_runtime_single_vertex_halts() {
let mut runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
runtime.add_vertex(Arc::new(IncrementVertex {
id: VertexId::new("a"),
increment: 1,
}));
let result = runtime.run(TestState::default()).await;
assert!(result.is_ok());
let result = result.unwrap();
assert!(result.completed);
// Single vertex computes once then halts, workflow terminates
assert!(result.supersteps <= 2);
}
#[tokio::test]
async fn test_runtime_message_delivery() {
let mut runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
runtime.add_vertex(Arc::new(MessageSenderVertex {
id: VertexId::new("sender"),
target: VertexId::new("receiver"),
}));
runtime.add_vertex(Arc::new(MessageReceiverVertex {
id: VertexId::new("receiver"),
}));
let result = runtime.run(TestState::default()).await.unwrap();
assert!(result.completed);
// Sender sends in superstep 0, receiver gets it in superstep 1
assert!(result.supersteps >= 1);
}
#[tokio::test]
async fn test_runtime_termination_all_halted() {
let mut runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
// Add two vertices that halt immediately
runtime.add_vertex(Arc::new(IncrementVertex {
id: VertexId::new("a"),
increment: 1,
}));
runtime.add_vertex(Arc::new(IncrementVertex {
id: VertexId::new("b"),
increment: 1,
}));
let result = runtime.run(TestState::default()).await.unwrap();
assert!(result.completed);
// All vertices halt, no messages pending -> terminate
assert!(result.vertex_states.values().all(|s| !s.is_active()));
}
#[tokio::test]
async fn test_runtime_max_supersteps_exceeded() {
struct InfiniteLoopVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for InfiniteLoopVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Always stay active
ctx.send_message(self.id.clone(), WorkflowMessage::Activate);
Ok(ComputeResult::active(TestUpdate::empty()))
}
}
let config = PregelConfig::default().with_max_supersteps(5);
let mut runtime: PregelRuntime<TestState, WorkflowMessage> =
PregelRuntime::with_config(config);
runtime.add_vertex(Arc::new(InfiniteLoopVertex {
id: VertexId::new("loop"),
}));
let result = runtime.run(TestState::default()).await;
assert!(result.is_err());
assert!(matches!(
result.unwrap_err(),
PregelError::MaxSuperstepsExceeded(5)
));
}
#[tokio::test]
async fn test_runtime_terminal_state() {
struct CounterVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for CounterVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Keep running until terminal state
ctx.send_message(self.id.clone(), WorkflowMessage::Activate);
Ok(ComputeResult::active(TestUpdate::empty()))
}
}
let mut runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
runtime.add_vertex(Arc::new(CounterVertex {
id: VertexId::new("counter"),
}));
// Start with counter at 10, which is terminal
let result = runtime
.run(TestState {
counter: 10,
messages_received: 0,
})
.await
.unwrap();
assert!(result.completed);
assert_eq!(result.supersteps, 0); // Terminates immediately
}
#[tokio::test]
async fn test_runtime_parallel_execution() {
use std::sync::atomic::{AtomicUsize, Ordering};
use std::time::Instant;
static EXECUTION_COUNT: AtomicUsize = AtomicUsize::new(0);
struct SlowVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for SlowVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
_ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
EXECUTION_COUNT.fetch_add(1, Ordering::SeqCst);
tokio::time::sleep(Duration::from_millis(50)).await;
Ok(ComputeResult::halt(TestUpdate::empty()))
}
}
EXECUTION_COUNT.store(0, Ordering::SeqCst);
let config = PregelConfig::default().with_parallelism(4);
let mut runtime: PregelRuntime<TestState, WorkflowMessage> =
PregelRuntime::with_config(config);
// Add 4 slow vertices
for i in 0..4 {
runtime.add_vertex(Arc::new(SlowVertex {
id: VertexId::new(format!("slow_{}", i)),
}));
}
let start = Instant::now();
let result = runtime.run(TestState::default()).await.unwrap();
let elapsed = start.elapsed();
assert!(result.completed);
assert_eq!(EXECUTION_COUNT.load(Ordering::SeqCst), 4);
// With parallelism=4, should take ~50ms, not ~200ms
assert!(elapsed < Duration::from_millis(150));
}
#[tokio::test]
async fn test_runtime_add_edge() {
let mut runtime: PregelRuntime<TestState, WorkflowMessage> = PregelRuntime::new();
runtime
.add_vertex(Arc::new(IncrementVertex {
id: VertexId::new("a"),
increment: 1,
}))
.add_edge("a", "b");
assert!(runtime.edges.contains_key(&VertexId::new("a")));
}
// ============================================
// C2: Workflow Timeout Tests (RED - should fail)
// ============================================
#[tokio::test]
async fn test_workflow_timeout_enforced() {
// Vertex that runs forever (simulates slow LLM calls)
struct SlowForeverVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for SlowForeverVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Sleep for a long time but stay active
tokio::time::sleep(Duration::from_secs(10)).await;
ctx.send_message(self.id.clone(), WorkflowMessage::Activate);
Ok(ComputeResult::active(TestUpdate::empty()))
}
}
// Set a very short workflow timeout (100ms)
let config = PregelConfig::default()
.with_workflow_timeout(Duration::from_millis(100))
.with_vertex_timeout(Duration::from_secs(60)) // vertex timeout is longer
.with_max_supersteps(1000); // high limit so it doesn't hit this first
let mut runtime: PregelRuntime<TestState, WorkflowMessage> =
PregelRuntime::with_config(config);
runtime.add_vertex(Arc::new(SlowForeverVertex {
id: VertexId::new("slow"),
}));
let start = std::time::Instant::now();
let result = runtime.run(TestState::default()).await;
let elapsed = start.elapsed();
// Should timeout within ~200ms (some tolerance)
assert!(elapsed < Duration::from_millis(500), "Took too long: {:?}", elapsed);
// Should return WorkflowTimeout error
assert!(result.is_err());
let err = result.unwrap_err();
assert!(
matches!(err, PregelError::WorkflowTimeout(_)),
"Expected WorkflowTimeout, got {:?}",
err
);
}
// ============================================
// C3: Retry Policy Tests (RED - should fail)
// ============================================
#[tokio::test]
async fn test_retry_policy_with_backoff() {
use std::sync::atomic::{AtomicUsize, Ordering};
static ATTEMPT_COUNT: AtomicUsize = AtomicUsize::new(0);
// Vertex that fails first 2 times, then succeeds
struct FailingThenSuccessVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for FailingThenSuccessVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
_ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
let attempt = ATTEMPT_COUNT.fetch_add(1, Ordering::SeqCst);
if attempt < 2 {
// Fail with recoverable error
Err(PregelError::vertex_error(self.id.clone(), format!("transient failure {}", attempt)))
} else {
// Succeed on 3rd attempt
Ok(ComputeResult::halt(TestUpdate {
counter_delta: 1,
messages_delta: 0,
}))
}
}
}
ATTEMPT_COUNT.store(0, Ordering::SeqCst);
let config = PregelConfig::default()
.with_retry_policy(
super::super::config::RetryPolicy::new(3)
.with_backoff_base(Duration::from_millis(10))
)
.with_max_supersteps(20);
let mut runtime: PregelRuntime<TestState, WorkflowMessage> =
PregelRuntime::with_config(config);
runtime.add_vertex(Arc::new(FailingThenSuccessVertex {
id: VertexId::new("flaky"),
}));
let result = runtime.run(TestState::default()).await;
// Should succeed after retries
assert!(result.is_ok(), "Expected success after retries, got {:?}", result);
// Should have attempted 3 times (2 failures + 1 success)
assert_eq!(ATTEMPT_COUNT.load(Ordering::SeqCst), 3);
}
#[tokio::test]
async fn test_retry_policy_max_exceeded() {
use std::sync::atomic::{AtomicUsize, Ordering};
static FAIL_COUNT: AtomicUsize = AtomicUsize::new(0);
// Vertex that always fails
struct AlwaysFailsVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for AlwaysFailsVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
_ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
FAIL_COUNT.fetch_add(1, Ordering::SeqCst);
Err(PregelError::vertex_error(self.id.clone(), "always fails"))
}
}
FAIL_COUNT.store(0, Ordering::SeqCst);
let config = PregelConfig::default()
.with_retry_policy(super::super::config::RetryPolicy::new(3))
.with_max_supersteps(100);
let mut runtime: PregelRuntime<TestState, WorkflowMessage> =
PregelRuntime::with_config(config);
runtime.add_vertex(Arc::new(AlwaysFailsVertex {
id: VertexId::new("failing"),
}));
let result = runtime.run(TestState::default()).await;
// Should fail with MaxRetriesExceeded
assert!(result.is_err());
let err = result.unwrap_err();
assert!(
matches!(err, PregelError::MaxRetriesExceeded { .. }),
"Expected MaxRetriesExceeded, got {:?}",
err
);
// Should have tried exactly max_retries + 1 times (initial + retries)
assert_eq!(FAIL_COUNT.load(Ordering::SeqCst), 4); // 1 initial + 3 retries
}
}

View File

@@ -0,0 +1,297 @@
//! Workflow state abstraction for Pregel runtime
//!
//! Defines how workflow state is updated and merged during supersteps.
//! The runtime collects updates from all vertices and applies them atomically
//! at the end of each superstep.
use super::vertex::StateUpdate;
/// Trait for workflow state managed by the Pregel runtime
///
/// The workflow state represents the shared data that vertices can read
/// and update during computation. Updates are collected and merged at the
/// end of each superstep.
///
/// # Example
///
/// ```ignore
/// #[derive(Clone, Default)]
/// struct ResearchState {
/// findings: Vec<Finding>,
/// phase: ResearchPhase,
/// completed_topics: HashSet<String>,
/// }
///
/// impl WorkflowState for ResearchState {
/// type Update = ResearchUpdate;
///
/// fn apply_update(&self, update: Self::Update) -> Self {
/// let mut new = self.clone();
/// new.findings.extend(update.new_findings);
/// new.completed_topics.extend(update.completed);
/// if let Some(phase) = update.phase_transition {
/// new.phase = phase;
/// }
/// new
/// }
///
/// fn merge_updates(updates: Vec<Self::Update>) -> Self::Update {
/// ResearchUpdate {
/// new_findings: updates.iter().flat_map(|u| u.new_findings.clone()).collect(),
/// completed: updates.iter().flat_map(|u| u.completed.clone()).collect(),
/// phase_transition: updates.iter().find_map(|u| u.phase_transition.clone()),
/// }
/// }
///
/// fn is_terminal(&self) -> bool {
/// self.phase == ResearchPhase::Complete
/// }
/// }
/// ```
pub trait WorkflowState: Clone + Send + Sync + 'static {
/// The update type produced by vertices
type Update: StateUpdate;
/// Apply an update to produce a new state
///
/// This should be a pure function - the original state is not modified.
fn apply_update(&self, update: Self::Update) -> Self;
/// Merge multiple updates into a single update
///
/// Called when multiple vertices produce updates in the same superstep.
/// The merge should be deterministic (order-independent for correctness).
fn merge_updates(updates: Vec<Self::Update>) -> Self::Update;
/// Check if the state represents a terminal condition
///
/// When true, the workflow will terminate regardless of vertex states.
fn is_terminal(&self) -> bool {
false
}
/// Apply multiple updates in sequence
///
/// Default implementation merges updates then applies the result.
fn apply_updates(&self, updates: Vec<Self::Update>) -> Self {
if updates.is_empty() {
return self.clone();
}
let merged = Self::merge_updates(updates);
self.apply_update(merged)
}
}
/// A simple unit state for workflows that don't need shared state
///
/// Useful for workflows where all communication is via messages.
#[derive(Debug, Clone, Default, serde::Serialize, serde::Deserialize)]
pub struct UnitState;
/// Unit update that has no effect
#[derive(Debug, Clone, Default, serde::Serialize, serde::Deserialize)]
pub struct UnitUpdate;
impl StateUpdate for UnitUpdate {
fn empty() -> Self {
UnitUpdate
}
fn is_empty(&self) -> bool {
true
}
}
impl WorkflowState for UnitState {
type Update = UnitUpdate;
fn apply_update(&self, _update: Self::Update) -> Self {
UnitState
}
fn merge_updates(_updates: Vec<Self::Update>) -> Self::Update {
UnitUpdate
}
fn is_terminal(&self) -> bool {
false
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::collections::HashSet;
// Counter-based state for testing
#[derive(Clone, Default, Debug, PartialEq)]
struct CounterState {
count: i32,
}
#[derive(Clone, Debug)]
struct CounterUpdate {
delta: i32,
}
impl StateUpdate for CounterUpdate {
fn empty() -> Self {
CounterUpdate { delta: 0 }
}
fn is_empty(&self) -> bool {
self.delta == 0
}
}
impl WorkflowState for CounterState {
type Update = CounterUpdate;
fn apply_update(&self, update: Self::Update) -> Self {
CounterState {
count: self.count + update.delta,
}
}
fn merge_updates(updates: Vec<Self::Update>) -> Self::Update {
CounterUpdate {
delta: updates.iter().map(|u| u.delta).sum(),
}
}
fn is_terminal(&self) -> bool {
self.count >= 100
}
}
#[test]
fn test_state_update_merge() {
let updates = vec![
CounterUpdate { delta: 5 },
CounterUpdate { delta: 3 },
CounterUpdate { delta: -2 },
];
let merged = CounterState::merge_updates(updates);
assert_eq!(merged.delta, 6);
}
#[test]
fn test_state_apply_update() {
let state = CounterState { count: 10 };
let update = CounterUpdate { delta: 5 };
let new_state = state.apply_update(update);
assert_eq!(new_state.count, 15);
// Original state unchanged (immutable)
assert_eq!(state.count, 10);
}
#[test]
fn test_state_apply_updates() {
let state = CounterState { count: 0 };
let updates = vec![
CounterUpdate { delta: 10 },
CounterUpdate { delta: 20 },
CounterUpdate { delta: 5 },
];
let new_state = state.apply_updates(updates);
assert_eq!(new_state.count, 35);
}
#[test]
fn test_state_terminal_condition() {
let non_terminal = CounterState { count: 50 };
assert!(!non_terminal.is_terminal());
let terminal = CounterState { count: 100 };
assert!(terminal.is_terminal());
let over_terminal = CounterState { count: 150 };
assert!(over_terminal.is_terminal());
}
#[test]
fn test_empty_updates() {
let state = CounterState { count: 42 };
let new_state = state.apply_updates(vec![]);
assert_eq!(new_state.count, 42);
}
// More complex state for testing
#[derive(Clone, Default, Debug)]
struct CollectionState {
items: Vec<String>,
seen: HashSet<String>,
}
#[derive(Clone, Debug)]
struct CollectionUpdate {
new_items: Vec<String>,
}
impl StateUpdate for CollectionUpdate {
fn empty() -> Self {
CollectionUpdate { new_items: vec![] }
}
fn is_empty(&self) -> bool {
self.new_items.is_empty()
}
}
impl WorkflowState for CollectionState {
type Update = CollectionUpdate;
fn apply_update(&self, update: Self::Update) -> Self {
let mut items = self.items.clone();
let mut seen = self.seen.clone();
for item in update.new_items {
if !seen.contains(&item) {
seen.insert(item.clone());
items.push(item);
}
}
CollectionState { items, seen }
}
fn merge_updates(updates: Vec<Self::Update>) -> Self::Update {
CollectionUpdate {
new_items: updates.into_iter().flat_map(|u| u.new_items).collect(),
}
}
}
#[test]
fn test_collection_state_dedup() {
let state = CollectionState::default();
let updates = vec![
CollectionUpdate {
new_items: vec!["a".to_string(), "b".to_string()],
},
CollectionUpdate {
new_items: vec!["b".to_string(), "c".to_string()],
},
];
let new_state = state.apply_updates(updates);
// "b" should only appear once due to dedup in apply_update
assert_eq!(new_state.items.len(), 3);
assert_eq!(new_state.seen.len(), 3);
}
#[test]
fn test_unit_state() {
let state = UnitState;
let update = UnitUpdate;
assert!(update.is_empty());
assert!(UnitUpdate::empty().is_empty());
let new_state = state.apply_update(update);
assert!(!new_state.is_terminal());
let merged = UnitState::merge_updates(vec![UnitUpdate, UnitUpdate]);
assert!(merged.is_empty());
}
}

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//! Vertex (Node) abstractions for Pregel runtime
//!
//! A Vertex represents a computation unit in the workflow graph.
//! Vertices communicate via messages and execute in synchronized supersteps.
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::hash::Hash;
use std::sync::Arc;
use super::error::PregelError;
use super::message::VertexMessage;
/// Unique identifier for a vertex in the workflow graph
#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub struct VertexId(pub String);
impl VertexId {
/// Create a new VertexId
pub fn new(id: impl Into<String>) -> Self {
Self(id.into())
}
}
impl From<&str> for VertexId {
fn from(s: &str) -> Self {
Self(s.to_string())
}
}
impl From<String> for VertexId {
fn from(s: String) -> Self {
Self(s)
}
}
impl std::fmt::Display for VertexId {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}", self.0)
}
}
/// Vertex execution state (Pregel's "vote to halt" mechanism)
///
/// - `Active`: Vertex will compute in the next superstep
/// - `Halted`: Vertex has voted to halt (will reactivate on message receipt)
/// - `Completed`: Vertex has finished and will not reactivate
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, Serialize, Deserialize)]
pub enum VertexState {
/// Vertex is active and will compute in next superstep
#[default]
Active,
/// Vertex has voted to halt (will reactivate on message receipt)
Halted,
/// Vertex has completed and will not reactivate
Completed,
}
impl VertexState {
/// Check if the vertex is active
pub fn is_active(&self) -> bool {
matches!(self, VertexState::Active)
}
/// Check if the vertex is halted (can be reactivated)
pub fn is_halted(&self) -> bool {
matches!(self, VertexState::Halted)
}
/// Check if the vertex is completed (cannot be reactivated)
pub fn is_completed(&self) -> bool {
matches!(self, VertexState::Completed)
}
}
/// Trait for state updates produced by vertex computation
///
/// State updates are collected from all vertices and merged at the end of each superstep.
pub trait StateUpdate: Clone + Send + Sync + 'static {
/// Create an empty (no-op) update
fn empty() -> Self;
/// Check if this update has no effect
fn is_empty(&self) -> bool;
}
/// Context provided to a vertex during computation
///
/// Provides access to:
/// - Incoming messages from other vertices
/// - Outbox for sending messages
/// - Current superstep number
/// - Workflow state (read-only)
pub struct ComputeContext<'a, S, M: VertexMessage> {
/// Messages received from other vertices
pub messages: &'a [M],
/// Current superstep number (0-indexed)
pub superstep: usize,
/// Read-only access to workflow state
pub state: &'a S,
/// Outgoing messages (target vertex -> messages)
outbox: HashMap<VertexId, Vec<M>>,
/// Current vertex ID
vertex_id: VertexId,
}
impl<'a, S, M: VertexMessage> ComputeContext<'a, S, M> {
/// Create a new compute context
pub fn new(vertex_id: VertexId, messages: &'a [M], superstep: usize, state: &'a S) -> Self {
Self {
messages,
superstep,
state,
outbox: HashMap::new(),
vertex_id,
}
}
/// Get the current vertex ID
pub fn id(&self) -> &VertexId {
&self.vertex_id
}
/// Send a message to another vertex
///
/// Messages will be delivered at the start of the next superstep.
pub fn send_message(&mut self, target: impl Into<VertexId>, message: M) {
let target = target.into();
self.outbox.entry(target).or_default().push(message);
}
/// Send a message to multiple targets
pub fn broadcast(&mut self, targets: impl IntoIterator<Item = impl Into<VertexId>>, message: M) {
for target in targets {
self.send_message(target.into(), message.clone());
}
}
/// Check if this is the first superstep
pub fn is_first_superstep(&self) -> bool {
self.superstep == 0
}
/// Check if any messages were received
pub fn has_messages(&self) -> bool {
!self.messages.is_empty()
}
/// Get the count of received messages
pub fn message_count(&self) -> usize {
self.messages.len()
}
/// Consume the context and return the outbox
pub fn into_outbox(self) -> HashMap<VertexId, Vec<M>> {
self.outbox
}
}
use super::state::WorkflowState;
/// The core vertex trait for Pregel computation
///
/// Each vertex in the workflow graph implements this trait.
/// During each superstep, active vertices have their `compute` method called.
///
/// # Type Parameters
///
/// - `S`: The workflow state type (must implement WorkflowState)
/// - `M`: The message type used for vertex communication
///
/// # Example
///
/// ```ignore
/// struct EchoVertex {
/// id: VertexId,
/// }
///
/// #[async_trait]
/// impl Vertex<MyState, WorkflowMessage> for EchoVertex {
/// fn id(&self) -> &VertexId {
/// &self.id
/// }
///
/// async fn compute(
/// &self,
/// ctx: &mut ComputeContext<'_, MyState, WorkflowMessage>,
/// ) -> Result<ComputeResult<MyUpdate>, PregelError> {
/// for msg in ctx.messages {
/// if let WorkflowMessage::Data { key, value } = msg {
/// ctx.send_message("output", WorkflowMessage::data(format!("echo_{}", key), value.clone()));
/// }
/// }
/// Ok(ComputeResult::halt(MyUpdate::empty()))
/// }
/// }
/// ```
#[async_trait]
pub trait Vertex<S, M>: Send + Sync
where
S: WorkflowState,
M: VertexMessage,
{
/// Get the vertex's unique identifier
fn id(&self) -> &VertexId;
/// Execute the vertex's computation
///
/// Called during each superstep for active vertices.
/// Returns a state update and the next vertex state.
async fn compute(
&self,
ctx: &mut ComputeContext<'_, S, M>,
) -> Result<ComputeResult<S::Update>, PregelError>;
/// Combine multiple messages into one (optional optimization)
///
/// Default implementation returns messages unchanged.
/// Override to reduce message traffic for commutative/associative operations.
fn combine_messages(&self, messages: Vec<M>) -> Vec<M> {
messages
}
/// Called when the vertex receives messages while halted
///
/// By default, returns `Active` to reactivate the vertex.
fn on_reactivation(&self, _messages: &[M]) -> VertexState {
VertexState::Active
}
}
/// Result of a vertex computation
#[derive(Debug, Clone)]
pub struct ComputeResult<U: StateUpdate> {
/// State update to apply
pub update: U,
/// New vertex state
pub state: VertexState,
}
impl<U: StateUpdate> ComputeResult<U> {
/// Create a result that keeps the vertex active
pub fn active(update: U) -> Self {
Self {
update,
state: VertexState::Active,
}
}
/// Create a result that halts the vertex
pub fn halt(update: U) -> Self {
Self {
update,
state: VertexState::Halted,
}
}
/// Create a result that completes the vertex
pub fn complete(update: U) -> Self {
Self {
update,
state: VertexState::Completed,
}
}
/// Create a result with a specific state
pub fn with_state(update: U, state: VertexState) -> Self {
Self { update, state }
}
}
/// Boxed vertex for dynamic dispatch
pub type BoxedVertex<S, M> = Arc<dyn Vertex<S, M>>;
#[cfg(test)]
mod tests {
use super::*;
use super::super::message::WorkflowMessage;
// Test StateUpdate implementation for tests
#[derive(Clone, Debug, Default)]
struct TestUpdate {
delta: i32,
}
impl StateUpdate for TestUpdate {
fn empty() -> Self {
TestUpdate { delta: 0 }
}
fn is_empty(&self) -> bool {
self.delta == 0
}
}
// Test state for tests
#[derive(Clone, Debug, Default)]
#[allow(dead_code)]
struct TestState {
value: i32,
}
impl super::super::state::WorkflowState for TestState {
type Update = TestUpdate;
fn apply_update(&self, update: Self::Update) -> Self {
TestState {
value: self.value + update.delta,
}
}
fn merge_updates(updates: Vec<Self::Update>) -> Self::Update {
TestUpdate {
delta: updates.iter().map(|u| u.delta).sum(),
}
}
}
// Mock vertex for testing
struct EchoVertex {
id: VertexId,
}
#[async_trait]
impl Vertex<TestState, WorkflowMessage> for EchoVertex {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, TestState, WorkflowMessage>,
) -> Result<ComputeResult<TestUpdate>, PregelError> {
// Echo back any data messages
for msg in ctx.messages {
if let WorkflowMessage::Data { key, value } = msg {
ctx.send_message(
"output",
WorkflowMessage::data(format!("echo_{}", key), value.clone()),
);
}
}
Ok(ComputeResult::halt(TestUpdate::empty()))
}
}
#[tokio::test]
async fn test_mock_vertex_compute() {
let vertex = EchoVertex {
id: VertexId::new("echo"),
};
let state = TestState { value: 42 };
let messages = vec![WorkflowMessage::data("test", "hello")];
let mut ctx = ComputeContext::new(
VertexId::new("echo"),
&messages,
0,
&state,
);
let result = vertex.compute(&mut ctx).await;
assert!(result.is_ok());
let result = result.unwrap();
assert!(result.state.is_halted());
let outbox = ctx.into_outbox();
assert!(outbox.contains_key(&VertexId::new("output")));
assert_eq!(outbox.get(&VertexId::new("output")).unwrap().len(), 1);
}
#[test]
fn test_compute_context_send_message() {
let state = TestState { value: 0 };
let messages: Vec<WorkflowMessage> = vec![];
let mut ctx = ComputeContext::new(
VertexId::new("test"),
&messages,
0,
&state,
);
ctx.send_message("target1", WorkflowMessage::Activate);
ctx.send_message("target1", WorkflowMessage::Halt);
ctx.send_message("target2", WorkflowMessage::Activate);
let outbox = ctx.into_outbox();
assert_eq!(outbox.get(&VertexId::new("target1")).unwrap().len(), 2);
assert_eq!(outbox.get(&VertexId::new("target2")).unwrap().len(), 1);
}
#[test]
fn test_compute_context_broadcast() {
let state = TestState { value: 0 };
let messages: Vec<WorkflowMessage> = vec![];
let mut ctx = ComputeContext::new(
VertexId::new("broadcaster"),
&messages,
0,
&state,
);
let targets = vec!["a", "b", "c"];
ctx.broadcast(targets, WorkflowMessage::Activate);
let outbox = ctx.into_outbox();
assert_eq!(outbox.len(), 3);
assert!(outbox.contains_key(&VertexId::new("a")));
assert!(outbox.contains_key(&VertexId::new("b")));
assert!(outbox.contains_key(&VertexId::new("c")));
}
#[test]
fn test_compute_context_helpers() {
let state = TestState { value: 0 };
let messages = vec![WorkflowMessage::Activate, WorkflowMessage::Halt];
let ctx = ComputeContext::<TestState, WorkflowMessage>::new(
VertexId::new("test"),
&messages,
0,
&state,
);
assert!(ctx.is_first_superstep());
assert!(ctx.has_messages());
assert_eq!(ctx.message_count(), 2);
assert_eq!(ctx.id(), &VertexId::new("test"));
let ctx2 = ComputeContext::<TestState, WorkflowMessage>::new(
VertexId::new("test2"),
&[],
5,
&state,
);
assert!(!ctx2.is_first_superstep());
assert!(!ctx2.has_messages());
assert_eq!(ctx2.message_count(), 0);
}
#[test]
fn test_compute_result_constructors() {
let update = TestUpdate { delta: 5 };
let active = ComputeResult::active(update.clone());
assert!(active.state.is_active());
let halted = ComputeResult::halt(update.clone());
assert!(halted.state.is_halted());
let completed = ComputeResult::complete(update.clone());
assert!(completed.state.is_completed());
let custom = ComputeResult::with_state(update, VertexState::Halted);
assert!(custom.state.is_halted());
}
#[test]
fn test_state_update_trait() {
let empty = TestUpdate::empty();
assert!(empty.is_empty());
let non_empty = TestUpdate { delta: 10 };
assert!(!non_empty.is_empty());
}
#[test]
fn test_vertex_state_helpers() {
assert!(VertexState::Active.is_active());
assert!(!VertexState::Active.is_halted());
assert!(!VertexState::Active.is_completed());
assert!(!VertexState::Halted.is_active());
assert!(VertexState::Halted.is_halted());
assert!(!VertexState::Halted.is_completed());
assert!(!VertexState::Completed.is_active());
assert!(!VertexState::Completed.is_halted());
assert!(VertexState::Completed.is_completed());
}
#[test]
fn test_vertex_id_from_str() {
let id: VertexId = "planner".into();
assert_eq!(id.0, "planner");
}
#[test]
fn test_vertex_id_from_string() {
let id: VertexId = String::from("router").into();
assert_eq!(id.0, "router");
}
#[test]
fn test_vertex_id_new() {
let id = VertexId::new("explorer");
assert_eq!(id.0, "explorer");
}
#[test]
fn test_vertex_id_equality() {
let id1: VertexId = "node1".into();
let id2: VertexId = "node1".into();
let id3: VertexId = "node2".into();
assert_eq!(id1, id2);
assert_ne!(id1, id3);
}
#[test]
fn test_vertex_id_hash() {
use std::collections::HashSet;
let mut set = HashSet::new();
set.insert(VertexId::from("a"));
set.insert(VertexId::from("b"));
set.insert(VertexId::from("a")); // duplicate
assert_eq!(set.len(), 2);
}
#[test]
fn test_vertex_id_display() {
let id = VertexId::new("test_node");
assert_eq!(format!("{}", id), "test_node");
}
#[test]
fn test_vertex_state_default_is_active() {
assert_eq!(VertexState::default(), VertexState::Active);
}
#[test]
fn test_vertex_state_variants() {
let active = VertexState::Active;
let halted = VertexState::Halted;
let completed = VertexState::Completed;
assert_ne!(active, halted);
assert_ne!(halted, completed);
assert_ne!(active, completed);
}
#[test]
fn test_vertex_id_serialization() {
let id = VertexId::new("test");
let json = serde_json::to_string(&id).unwrap();
let deserialized: VertexId = serde_json::from_str(&json).unwrap();
assert_eq!(id, deserialized);
}
#[test]
fn test_vertex_state_serialization() {
let state = VertexState::Halted;
let json = serde_json::to_string(&state).unwrap();
let deserialized: VertexState = serde_json::from_str(&json).unwrap();
assert_eq!(state, deserialized);
}
}

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//! Workflow Graph System for Pregel-Based Agent Orchestration
//!
//! This module provides the building blocks for constructing and executing
//! agent workflows using a Pregel-inspired graph execution model.
//!
//! # Overview
//!
//! ```text
//! ┌─────────────────────────────────────────────────────────────┐
//! │ WorkflowGraph │
//! │ ┌─────────────────────────────────────────────────────┐ │
//! │ │ Nodes │ │
//! │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
//! │ │ │ Agent │→ │ Router │→ │ SubAgent│ │ │
//! │ │ └─────────┘ └────┬────┘ └─────────┘ │ │
//! │ │ │ │ │
//! │ │ ┌─────▼─────┐ │ │
//! │ │ │ Tool │ │ │
//! │ │ └───────────┘ │ │
//! │ └─────────────────────────────────────────────────────┘ │
//! │ │
//! │ Compile via WorkflowBuilder → CompiledWorkflow │
//! │ Execute via PregelRuntime │
//! └─────────────────────────────────────────────────────────────┘
//! ```
//!
//! # Usage
//!
//! ```ignore
//! use rig_deepagents::workflow::{WorkflowGraph, NodeKind, AgentNodeConfig};
//!
//! let workflow = WorkflowGraph::<MyState>::new()
//! .name("research_agent")
//! .node("planner", NodeKind::Agent(AgentNodeConfig {
//! system_prompt: "Plan the research...".into(),
//! ..Default::default()
//! }))
//! .node("researcher", NodeKind::Agent(AgentNodeConfig {
//! system_prompt: "Execute research...".into(),
//! ..Default::default()
//! }))
//! .entry("planner")
//! .edge("planner", "researcher")
//! .edge("researcher", END)
//! .build()?;
//! ```
pub mod node;
pub mod vertices;
pub use node::{
AgentNodeConfig, Branch, BranchCondition, FanInNodeConfig, FanOutNodeConfig, MergeStrategy,
NodeKind, RouterNodeConfig, RoutingStrategy, SplitStrategy, StopCondition, SubAgentNodeConfig,
ToolNodeConfig,
};
pub use vertices::agent::AgentVertex;

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//! Node Types and Configuration for Workflow Graphs
//!
//! Defines the different types of nodes that can exist in a workflow graph.
//! Each node type has specific behavior and configuration options.
//!
//! # Node Types
//!
//! - **Agent**: LLM-based processing with tool calling capabilities
//! - **Tool**: Single tool execution with static or dynamic arguments
//! - **Router**: Conditional branching based on state or LLM decisions
//! - **SubAgent**: Delegation to nested workflows with recursion protection
//! - **FanOut**: Parallel dispatch to multiple targets
//! - **FanIn**: Synchronization point waiting for multiple sources
//! - **Passthrough**: Simple data forwarding (identity transformation)
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet};
use std::time::Duration;
/// The kind of node in a workflow graph.
///
/// Each variant represents a different computation pattern.
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum NodeKind {
/// An LLM-based agent that can process messages and call tools
Agent(AgentNodeConfig),
/// A single tool execution node
Tool(ToolNodeConfig),
/// Conditional routing based on state or LLM decisions
Router(RouterNodeConfig),
/// Delegation to a sub-workflow
SubAgent(SubAgentNodeConfig),
/// Parallel dispatch to multiple targets
FanOut(FanOutNodeConfig),
/// Synchronization point waiting for multiple sources
FanIn(FanInNodeConfig),
/// Simple passthrough (identity transformation)
#[default]
Passthrough,
}
/// Configuration for an Agent node.
///
/// Agents use LLMs to process messages and can optionally call tools.
/// They iterate until a stop condition is met.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentNodeConfig {
/// System prompt for the agent
pub system_prompt: String,
/// Maximum iterations before forcing termination
#[serde(default = "default_max_iterations")]
pub max_iterations: usize,
/// Conditions that cause the agent to stop iterating
#[serde(default)]
pub stop_conditions: Vec<StopCondition>,
/// Tools the agent is allowed to use (None = all tools)
#[serde(default)]
pub allowed_tools: Option<HashSet<String>>,
/// Timeout for each LLM call
#[serde(default, with = "humantime_serde")]
pub llm_timeout: Option<Duration>,
/// Temperature for LLM calls
#[serde(default)]
pub temperature: Option<f32>,
}
impl Default for AgentNodeConfig {
fn default() -> Self {
Self {
system_prompt: String::new(),
max_iterations: 10,
stop_conditions: vec![StopCondition::NoToolCalls],
allowed_tools: None,
llm_timeout: None,
temperature: None,
}
}
}
fn default_max_iterations() -> usize {
10
}
/// Conditions that cause an agent to stop iterating.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum StopCondition {
/// Stop when the LLM produces no tool calls
NoToolCalls,
/// Stop when a specific tool is called
OnTool { tool_name: String },
/// Stop when the message contains specific text
ContainsText { pattern: String },
/// Stop when a state field matches a condition
StateMatch { field: String, value: serde_json::Value },
/// Stop after a certain number of iterations
MaxIterations { count: usize },
}
/// Configuration for a Tool node.
///
/// Executes a single tool with arguments from static config or state.
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct ToolNodeConfig {
/// Name of the tool to execute
#[serde(default)]
pub tool_name: String,
/// Static arguments (can be overridden by state paths)
#[serde(default)]
pub static_args: HashMap<String, serde_json::Value>,
/// Map from argument name to state path for dynamic arguments
#[serde(default)]
pub state_arg_paths: HashMap<String, String>,
/// Path in state where the result should be stored
#[serde(default)]
pub result_path: Option<String>,
/// Timeout for tool execution
#[serde(default, with = "humantime_serde")]
pub timeout: Option<Duration>,
}
/// Configuration for a Router node.
///
/// Determines next node based on state inspection or LLM decision.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RouterNodeConfig {
/// How to make the routing decision
pub strategy: RoutingStrategy,
/// Branches to evaluate (in order for StateField strategy)
pub branches: Vec<Branch>,
/// Default branch if no conditions match (required for StateField)
#[serde(default)]
pub default: Option<String>,
}
impl Default for RouterNodeConfig {
fn default() -> Self {
Self {
strategy: RoutingStrategy::StateField {
field: String::new(),
},
branches: Vec::new(),
default: None,
}
}
}
/// Strategy for making routing decisions.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum RoutingStrategy {
/// Route based on a state field value
StateField {
/// Path to the state field to inspect
field: String,
},
/// Route based on LLM classification
LLMDecision {
/// Prompt describing the options to the LLM
prompt: String,
/// Model to use (optional, uses default if not specified)
model: Option<String>,
},
}
/// A branch in a routing decision.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Branch {
/// Target node for this branch
pub target: String,
/// Condition that must be true for this branch
pub condition: BranchCondition,
}
/// Condition for a routing branch.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "op", rename_all = "snake_case")]
pub enum BranchCondition {
/// Value equals expected
Equals { value: serde_json::Value },
/// Value is in set of options
In { values: Vec<serde_json::Value> },
/// Value matches regex pattern
Matches { pattern: String },
/// Value is truthy (non-null, non-empty, non-false)
IsTruthy,
/// Value is falsy
IsFalsy,
/// Always true (used for catch-all branches)
Always,
}
/// Configuration for a SubAgent node.
///
/// Delegates work to a nested workflow with recursion protection.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SubAgentNodeConfig {
/// Name of the sub-agent to invoke
pub agent_name: String,
/// Maximum recursion depth (prevents infinite nesting)
#[serde(default = "default_max_recursion")]
pub max_recursion: usize,
/// Mapping from parent state paths to sub-agent input
#[serde(default)]
pub input_mapping: HashMap<String, String>,
/// Mapping from sub-agent output to parent state paths
#[serde(default)]
pub output_mapping: HashMap<String, String>,
/// Timeout for the entire sub-agent execution
#[serde(default, with = "humantime_serde")]
pub timeout: Option<Duration>,
}
impl Default for SubAgentNodeConfig {
fn default() -> Self {
Self {
agent_name: String::new(),
max_recursion: 5,
input_mapping: HashMap::new(),
output_mapping: HashMap::new(),
timeout: None,
}
}
}
fn default_max_recursion() -> usize {
5
}
/// Configuration for a FanOut node.
///
/// Broadcasts messages to multiple targets in parallel.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FanOutNodeConfig {
/// Target nodes to send to
pub targets: Vec<String>,
/// How to split the work among targets
#[serde(default)]
pub split_strategy: SplitStrategy,
/// Path to array in state to split (for Split strategy)
#[serde(default)]
pub split_path: Option<String>,
}
impl Default for FanOutNodeConfig {
fn default() -> Self {
Self {
targets: Vec::new(),
split_strategy: SplitStrategy::Broadcast,
split_path: None,
}
}
}
/// Strategy for splitting work in a FanOut node.
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum SplitStrategy {
/// Send the same message to all targets
#[default]
Broadcast,
/// Split an array and send one element to each target
Split,
/// Round-robin distribution
RoundRobin,
}
/// Configuration for a FanIn node.
///
/// Waits for messages from multiple sources and merges them.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FanInNodeConfig {
/// Source nodes to wait for
pub sources: Vec<String>,
/// How to merge results from sources
#[serde(default)]
pub merge_strategy: MergeStrategy,
/// Path in state where merged results are stored
#[serde(default)]
pub result_path: Option<String>,
/// Timeout for waiting for all sources
#[serde(default, with = "humantime_serde")]
pub timeout: Option<Duration>,
}
impl Default for FanInNodeConfig {
fn default() -> Self {
Self {
sources: Vec::new(),
merge_strategy: MergeStrategy::Collect,
result_path: None,
timeout: None,
}
}
}
/// Strategy for merging results in a FanIn node.
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum MergeStrategy {
/// Collect all results into an array
#[default]
Collect,
/// Use first result that arrives
First,
/// Use last result (all must complete)
Last,
/// Concatenate string results
Concat,
/// Merge object results (later values overwrite)
Merge,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_node_kind_serialization() {
let agent = NodeKind::Agent(AgentNodeConfig {
system_prompt: "You are helpful.".into(),
..Default::default()
});
let json = serde_json::to_string(&agent).unwrap();
let deserialized: NodeKind = serde_json::from_str(&json).unwrap();
match deserialized {
NodeKind::Agent(config) => {
assert_eq!(config.system_prompt, "You are helpful.");
}
_ => panic!("Wrong variant"),
}
}
#[test]
fn test_tool_node_config() {
let tool = ToolNodeConfig {
tool_name: "search".into(),
static_args: [("query".into(), serde_json::json!("test"))].into(),
state_arg_paths: [("max_results".into(), "config.limit".into())].into(),
result_path: Some("search_results".into()),
timeout: Some(Duration::from_secs(30)),
};
let json = serde_json::to_string(&tool).unwrap();
assert!(json.contains("search"));
assert!(json.contains("query"));
}
#[test]
fn test_router_config_with_branches() {
let router = RouterNodeConfig {
strategy: RoutingStrategy::StateField {
field: "phase".into(),
},
branches: vec![
Branch {
target: "explore".into(),
condition: BranchCondition::Equals {
value: serde_json::json!("exploratory"),
},
},
Branch {
target: "synthesize".into(),
condition: BranchCondition::Equals {
value: serde_json::json!("synthesis"),
},
},
],
default: Some("done".into()),
};
let json = serde_json::to_string(&router).unwrap();
let deserialized: RouterNodeConfig = serde_json::from_str(&json).unwrap();
assert_eq!(deserialized.branches.len(), 2);
assert_eq!(deserialized.default, Some("done".into()));
}
#[test]
fn test_stop_conditions() {
let conditions = vec![
StopCondition::NoToolCalls,
StopCondition::OnTool {
tool_name: "submit".into(),
},
StopCondition::ContainsText {
pattern: "DONE".into(),
},
StopCondition::MaxIterations { count: 5 },
];
let json = serde_json::to_string(&conditions).unwrap();
let deserialized: Vec<StopCondition> = serde_json::from_str(&json).unwrap();
assert_eq!(deserialized.len(), 4);
assert_eq!(deserialized[0], StopCondition::NoToolCalls);
}
#[test]
fn test_subagent_config() {
let config = SubAgentNodeConfig {
agent_name: "researcher".into(),
max_recursion: 3,
input_mapping: [("query".into(), "research.topic".into())].into(),
output_mapping: [("findings".into(), "research.findings".into())].into(),
timeout: Some(Duration::from_secs(300)),
};
assert_eq!(config.agent_name, "researcher");
assert_eq!(config.max_recursion, 3);
}
#[test]
fn test_fanout_fanin_config() {
let fanout = FanOutNodeConfig {
targets: vec!["a".into(), "b".into(), "c".into()],
split_strategy: SplitStrategy::Broadcast,
split_path: None,
};
let fanin = FanInNodeConfig {
sources: vec!["a".into(), "b".into(), "c".into()],
merge_strategy: MergeStrategy::Collect,
result_path: Some("results".into()),
timeout: Some(Duration::from_secs(60)),
};
assert_eq!(fanout.targets, fanin.sources);
}
#[test]
fn test_branch_conditions() {
let conditions = vec![
BranchCondition::Equals {
value: serde_json::json!("active"),
},
BranchCondition::In {
values: vec![serde_json::json!(1), serde_json::json!(2)],
},
BranchCondition::Matches {
pattern: "^done.*".into(),
},
BranchCondition::IsTruthy,
BranchCondition::Always,
];
for condition in &conditions {
let json = serde_json::to_string(condition).unwrap();
let _: BranchCondition = serde_json::from_str(&json).unwrap();
}
}
#[test]
fn test_node_kind_variants() {
// Ensure all 7 variants can be created
let _agent = NodeKind::Agent(Default::default());
let _tool = NodeKind::Tool(Default::default());
let _router = NodeKind::Router(Default::default());
let _subagent = NodeKind::SubAgent(Default::default());
let _fanout = NodeKind::FanOut(Default::default());
let _fanin = NodeKind::FanIn(Default::default());
let _passthrough = NodeKind::Passthrough;
// Ensure default is Passthrough
assert!(matches!(NodeKind::default(), NodeKind::Passthrough));
}
}

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//! AgentVertex: LLM-based agent node with tool calling capabilities
//!
//! Implements the Vertex trait for agent nodes that use LLMs to process
//! messages and can iteratively call tools until a stop condition is met.
use async_trait::async_trait;
use std::sync::Arc;
use crate::llm::{LLMConfig, LLMProvider};
use crate::middleware::ToolDefinition;
use crate::pregel::error::PregelError;
use crate::pregel::message::WorkflowMessage;
use crate::pregel::state::WorkflowState;
use crate::pregel::vertex::{ComputeContext, ComputeResult, StateUpdate, Vertex, VertexId};
use crate::state::{Message, Role};
use crate::workflow::node::{AgentNodeConfig, StopCondition};
/// An agent vertex that uses an LLM to process messages and call tools
pub struct AgentVertex<S: WorkflowState> {
id: VertexId,
config: AgentNodeConfig,
llm: Arc<dyn LLMProvider>,
tools: Vec<ToolDefinition>,
_phantom: std::marker::PhantomData<S>,
}
impl<S: WorkflowState> AgentVertex<S> {
/// Create a new agent vertex
pub fn new(
id: impl Into<VertexId>,
config: AgentNodeConfig,
llm: Arc<dyn LLMProvider>,
tools: Vec<ToolDefinition>,
) -> Self {
Self {
id: id.into(),
config,
llm,
tools,
_phantom: std::marker::PhantomData,
}
}
/// Check if any stop condition is met
fn check_stop_conditions(&self, message: &Message, iteration: usize) -> bool {
for condition in &self.config.stop_conditions {
match condition {
StopCondition::NoToolCalls => {
if message.tool_calls.is_none() || message.tool_calls.as_ref().unwrap().is_empty() {
return true;
}
}
StopCondition::OnTool { tool_name } => {
if let Some(tool_calls) = &message.tool_calls {
if tool_calls.iter().any(|tc| &tc.name == tool_name) {
return true;
}
}
}
StopCondition::ContainsText { pattern } => {
if message.content.contains(pattern) {
return true;
}
}
StopCondition::MaxIterations { count } => {
if iteration >= *count {
return true;
}
}
StopCondition::StateMatch { .. } => {
// TODO: Implement state matching
continue;
}
}
}
false
}
/// Filter tools based on allowed list
fn filter_tools(&self) -> Vec<ToolDefinition> {
if let Some(allowed) = &self.config.allowed_tools {
self.tools
.iter()
.filter(|t| allowed.contains(&t.name))
.cloned()
.collect()
} else {
self.tools.clone()
}
}
/// Build LLM config from agent config
fn build_llm_config(&self) -> Option<LLMConfig> {
self.config.temperature.map(|temp| LLMConfig::new("").with_temperature(temp as f64))
}
}
#[async_trait]
impl<S: WorkflowState> Vertex<S, WorkflowMessage> for AgentVertex<S> {
fn id(&self) -> &VertexId {
&self.id
}
async fn compute(
&self,
ctx: &mut ComputeContext<'_, S, WorkflowMessage>,
) -> Result<ComputeResult<S::Update>, PregelError> {
// Build message history starting with system prompt
let mut messages = vec![Message {
role: Role::System,
content: self.config.system_prompt.clone(),
tool_calls: None,
tool_call_id: None,
}];
// Add any incoming workflow messages as user messages
for msg in ctx.messages {
if let WorkflowMessage::Data { key: _, value } = msg {
messages.push(Message {
role: Role::User,
content: value.to_string(),
tool_calls: None,
tool_call_id: None,
});
}
}
// If no user messages, add a default activation message
if messages.len() == 1 {
messages.push(Message {
role: Role::User,
content: "Begin processing.".to_string(),
tool_calls: None,
tool_call_id: None,
});
}
let filtered_tools = self.filter_tools();
let llm_config = self.build_llm_config();
// Agent loop: iterate until stop condition or max iterations
for iteration in 0..self.config.max_iterations {
// Call LLM
let response = self
.llm
.complete(&messages, &filtered_tools, llm_config.as_ref())
.await
.map_err(|e| PregelError::VertexError {
vertex_id: self.id.clone(),
message: e.to_string(),
source: Some(Box::new(e)),
})?;
let assistant_message = response.message.clone();
messages.push(assistant_message.clone());
// Check stop conditions
if self.check_stop_conditions(&assistant_message, iteration) {
// Send final response as output message
ctx.send_message(
"output",
WorkflowMessage::Data {
key: "response".to_string(),
value: serde_json::Value::String(assistant_message.content),
},
);
return Ok(ComputeResult::halt(S::Update::empty()));
}
// If there are tool calls, execute them
if let Some(tool_calls) = &assistant_message.tool_calls {
for tool_call in tool_calls {
// TODO: Execute tool calls
// For now, just add a mock tool result
messages.push(Message::tool(
"Tool executed successfully",
&tool_call.id,
));
}
} else {
// No tool calls and no stop condition matched, halt anyway
ctx.send_message(
"output",
WorkflowMessage::Data {
key: "response".to_string(),
value: serde_json::Value::String(assistant_message.content),
},
);
return Ok(ComputeResult::halt(S::Update::empty()));
}
}
// Max iterations reached
Err(PregelError::vertex_error(
self.id.clone(),
"Max iterations reached",
))
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::error::DeepAgentError;
use crate::llm::LLMResponse;
use crate::pregel::state::UnitState;
use crate::pregel::vertex::VertexState;
use crate::state::ToolCall;
use std::sync::Mutex;
// Mock LLM provider for testing
struct MockLLMProvider {
responses: Arc<Mutex<Vec<Message>>>,
}
impl MockLLMProvider {
fn new() -> Self {
Self {
responses: Arc::new(Mutex::new(Vec::new())),
}
}
fn with_response(self, content: impl Into<String>) -> Self {
let message = Message {
role: Role::Assistant,
content: content.into(),
tool_calls: None,
tool_call_id: None,
};
self.responses.lock().unwrap().push(message);
self
}
fn with_tool_call(self, content: impl Into<String>, tool_name: impl Into<String>) -> Self {
let message = Message {
role: Role::Assistant,
content: content.into(),
tool_calls: Some(vec![ToolCall {
id: "test_call_1".to_string(),
name: tool_name.into(),
arguments: serde_json::json!({}),
}]),
tool_call_id: None,
};
self.responses.lock().unwrap().push(message);
self
}
}
#[async_trait]
impl LLMProvider for MockLLMProvider {
async fn complete(
&self,
_messages: &[Message],
_tools: &[ToolDefinition],
_config: Option<&LLMConfig>,
) -> Result<LLMResponse, DeepAgentError> {
let mut responses = self.responses.lock().unwrap();
if responses.is_empty() {
return Err(DeepAgentError::AgentExecution(
"No more mock responses".to_string(),
));
}
let message = responses.remove(0);
Ok(LLMResponse::new(message))
}
fn name(&self) -> &str {
"mock"
}
fn default_model(&self) -> &str {
"mock-model"
}
}
#[tokio::test]
async fn test_agent_vertex_single_response() {
let mock_llm = MockLLMProvider::new().with_response("Hello! How can I help?");
let vertex = AgentVertex::<UnitState>::new(
"agent",
AgentNodeConfig {
system_prompt: "You are helpful.".into(),
stop_conditions: vec![StopCondition::NoToolCalls],
..Default::default()
},
Arc::new(mock_llm),
vec![],
);
let mut ctx =
ComputeContext::<UnitState, WorkflowMessage>::new("agent".into(), &[], 0, &UnitState);
let result = vertex.compute(&mut ctx).await.unwrap();
assert_eq!(result.state, VertexState::Halted);
assert!(ctx.has_messages() || !ctx.into_outbox().is_empty());
}
#[tokio::test]
async fn test_agent_vertex_stop_on_tool() {
let mock_llm = MockLLMProvider::new().with_tool_call("Let me search for that", "search");
let vertex = AgentVertex::<UnitState>::new(
"agent",
AgentNodeConfig {
system_prompt: "You are a researcher.".into(),
stop_conditions: vec![StopCondition::OnTool {
tool_name: "search".to_string(),
}],
..Default::default()
},
Arc::new(mock_llm),
vec![],
);
let mut ctx =
ComputeContext::<UnitState, WorkflowMessage>::new("agent".into(), &[], 0, &UnitState);
let result = vertex.compute(&mut ctx).await.unwrap();
assert_eq!(result.state, VertexState::Halted);
}
#[tokio::test]
async fn test_agent_vertex_max_iterations() {
// Mock LLM that always returns tool calls (would loop forever without limit)
let mut mock_llm = MockLLMProvider::new();
for _ in 0..15 {
mock_llm = mock_llm.with_tool_call("Still thinking...", "think");
}
let vertex = AgentVertex::<UnitState>::new(
"agent",
AgentNodeConfig {
system_prompt: "You are helpful.".into(),
max_iterations: 3,
stop_conditions: vec![], // No stop conditions, relies on max_iterations
..Default::default()
},
Arc::new(mock_llm),
vec![],
);
let mut ctx =
ComputeContext::<UnitState, WorkflowMessage>::new("agent".into(), &[], 0, &UnitState);
let result = vertex.compute(&mut ctx).await;
// Should hit max iterations and return error
assert!(result.is_err());
}
}

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//! Vertex implementations for workflow nodes
//!
//! Each vertex type implements the Vertex trait and corresponds to a NodeKind variant.
pub mod agent;
// Future vertex implementations:
// pub mod tool;
// pub mod router;
// pub mod subagent;
// pub mod parallel;