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Claude Code Sandboxclaude
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chore: fix CI and complete v0.5.0 release prep
- Remove Python 3.9 from CI matrix (MCP requires 3.10+) - Add Python 3.10, 3.11 to CI matrix - Bump version to 0.5.0 in pyproject.toml, __init__.py, keep.go - Update CHANGELOG.md with v0.5.0 release notes - Update SKILL.md with MCP tools as preferred path (KP-28) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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.github/workflows/ci.yml

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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.9', '3.12', '3.13']
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python-version: ['3.10', '3.11', '3.12', '3.13']
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steps:
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- uses: actions/checkout@v4
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CHANGELOG.md

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## [Unreleased]
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## [0.5.0] — 2026-02-05
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### Added
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- **MCP Server** for direct tool calling (`keep-mcp` command) (KP-24)
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- `keep_send` — Send signed packets to agents
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- `keep_discover` — Get server info/stats
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- `keep_discover_agents` — List connected agents
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- `keep_listen` — Register and receive messages
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- `keep_ensure_server` — Auto-start server if needed
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- Optional MCP dependency: `pip install keep-protocol[mcp]`
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- Entry points: `keep-mcp` CLI and `python -m keep.mcp`
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- MCP setup documentation in SKILL.md (KP-28)
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### Performance
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- MCP tools achieve **<60ms latency** vs 80-150s with skill-based approach (118x faster)
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### Changed
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- Minimum Python version raised to 3.10 (MCP SDK requirement)
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- CI matrix updated to test Python 3.10, 3.11, 3.12, 3.13
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## [0.4.0] — 2026-02-03
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### Added
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---
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[Unreleased]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.4.0...HEAD
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[Unreleased]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.5.0...HEAD
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[0.5.0]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.4.0...v0.5.0
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[0.4.0]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.3.1...v0.4.0
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[0.3.1]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.3.0...v0.3.1
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[0.3.0]: https://github.com/CLCrawford-dev/keep-protocol/compare/v0.1.1...v0.3.0

SKILL.md

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---
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name: keep-protocol
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description: Signed Protobuf packets over TCP for AI agent-to-agent communication. Lightweight ed25519-authenticated protocol with discovery, routing, anti-spam fees, and memory sharing. Agents discover each other, coordinate tasks, and barter knowledge — no HTTP, no accounts, just keypairs.
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metadata: {"openclaw":{"emoji":"🦀","tags":["agent-coordination","protobuf","tcp","ed25519","moltbot","openclaw","swarm","intent","signing","decentralized","discovery","routing","barter"]}}
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description: Signed Protobuf packets over TCP for AI agent-to-agent communication. Now with MCP tools for sub-second latency! Lightweight ed25519-authenticated protocol with discovery, routing, and memory sharing.
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metadata: {"openclaw":{"emoji":"🦀","tags":["agent-coordination","protobuf","tcp","ed25519","mcp","low-latency","tool-calling","discovery","routing","barter"]}}
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---
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# keep-protocol
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**Lightweight signed TCP + Protobuf protocol for agent coordination.**
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Agents send `Packet`s to a TCP endpoint (default `localhost:9009` or relay).
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Agents send `Packet`s to a TCP endpoint (default `localhost:9009`).
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Unsigned or invalid sig = silent drop. Valid ed25519 sig = routed, logged, replied.
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## Key Features
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## Preferred: MCP Tools (Fast Path)
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- **ed25519 authentication** + integrity on every packet
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- **Agent discovery** — find who's online: `dst="discover:agents"`
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- **Agent-to-agent routing** — send directly: `dst="bot:alice"`
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- **Memory barter** — share knowledge via the `scar` field
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- **fee + ttl** for anti-spam economics
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- **Protobuf** for efficient, typed messages
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If your environment has keep-protocol MCP configured, use these tools directly for **sub-60ms latency**:
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| Tool | Purpose |
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|------|---------|
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| `keep_send(dst, body)` | Send a signed packet to another agent |
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| `keep_discover(query)` | Get server info, stats, or agent list |
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| `keep_discover_agents()` | List all connected agent identities |
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| `keep_listen(timeout)` | Register and receive incoming messages |
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| `keep_ensure_server()` | Auto-start server if not running |
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### MCP Examples
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**Send a message to another agent:**
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```
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Use tool: keep_send
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dst: "bot:alice"
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body: "Hello from MCP!"
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```
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**Discover connected agents:**
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```
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Use tool: keep_discover_agents
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Result: ["bot:alice", "bot:weather", "bot:planner"]
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```
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**Get server info:**
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```
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Use tool: keep_discover
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query: "info"
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Result: {"version": "0.5.0", "agents_online": 3, "uptime_sec": 12345}
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```
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This is **100x faster** than code generation (~60ms vs ~100s).
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## Installation
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### MCP Setup
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```bash
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docker run -d -p 9009:9009 ghcr.io/clcrawford-dev/keep-server:latest
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pip install keep-protocol[mcp]
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```
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Python SDK: `pip install keep-protocol`
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Add to your MCP config:
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```json
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{
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"mcpServers": {
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"keep-protocol": {
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"command": "keep-mcp",
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"env": {
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"KEEP_HOST": "localhost",
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"KEEP_PORT": "9009",
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"KEEP_SRC": "bot:my-agent"
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}
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}
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}
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}
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```
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## Discovery
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## Fallback: Code Generation
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Find out what's running and who's connected:
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If MCP tools are not available, generate Python code using the SDK:
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```text
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Use keep-protocol to discover agents: send signed Packet to localhost:9009 dst 'discover:agents' src 'bot:me'
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### Installation
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```bash
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# Server (Docker)
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docker run -d -p 9009:9009 ghcr.io/clcrawford-dev/keep-server:latest
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# Python SDK
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pip install keep-protocol
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```
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### Discovery
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Find out what's running and who's connected:
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```python
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from keep import KeepClient
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client = KeepClient("localhost", 9009)
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info = client.discover("info") # {"version": "0.3.0", "agents_online": 3, ...}
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info = client.discover("info") # {"version": "0.5.0", "agents_online": 3, ...}
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agents = client.discover_agents() # ["bot:alice", "bot:weather", ...]
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```
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## Agent-to-Agent Routing
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### Agent-to-Agent Routing
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Send messages directly to other connected agents:
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```text
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Use keep-protocol to coordinate with another agent: dst 'bot:alice' body 'plan the sailing trip' src 'bot:me'
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```
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```python
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with KeepClient(src="bot:planner") as client:
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client.send(body="register", dst="server", wait_reply=True)
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client.send(body="coordinate task", dst="bot:weather-agent")
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client.listen(lambda p: print(f"From {p.src}: {p.body}"), timeout=30)
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## Memory Barter
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### Memory Barter
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Share institutional knowledge between agents using the `scar` field:
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```
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## MCP Integration
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## Key Features
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Wrap keep-protocol as MCP tools for AI agent platforms.
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See `examples/mcp_keep_adapter.py` for tool definitions.
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- **ed25519 authentication** + integrity on every packet
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- **MCP tools** for sub-60ms latency (vs 100s+ with code gen)
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- **Agent discovery** — find who's online
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- **Agent-to-agent routing** — send directly to `bot:alice`
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- **Memory barter** — share knowledge via the `scar` field
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- **fee + ttl** for anti-spam economics
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- **Protobuf** for efficient, typed messages
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**Repo:** https://github.com/CLCrawford-dev/keep-protocol
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keep.go

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const (
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MaxPacketSize = 65536
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ServerVersion = "0.3.0"
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ServerVersion = "0.5.0"
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MaxScarEntries = 1000
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)
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python/keep/__init__.py

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from keep.client import KeepClient
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__version__ = "0.3.0"
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__version__ = "0.5.0"
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__all__ = ["KeepClient", "ensure_server"]
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python/pyproject.toml

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[project]
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name = "keep-protocol"
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version = "0.4.0"
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version = "0.5.0"
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description = "Signed protobuf packets over TCP for AI agent-to-agent communication"
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readme = "README.md"
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license = {text = "MIT"}

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