added self-registration and autonomous grammar generation to docs
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README.md
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README.md
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# AgentServer — The Living Substrate (v1.2)
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# AgentServer — The Living Substrate (v1.3)
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**December 30, 2025**
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**January 01, 2026**
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**Architecture: Turing-Complete, Stack-Managed Multi-Agent Organism**
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**Architecture: Autonomous Grammar-Driven, Turing-Complete Multi-Agent Organism**
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## What It Is
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## What It Is
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AgentServer is a production-ready "body" for the `xml-pipeline` nervous system. It is a secure, XML-native substrate hosting concurrent, stateful agents (organs) sharing a unified, tamper-proof **MessageBus**.
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AgentServer is a production-ready substrate for the `xml-pipeline` nervous system. Version 1.3 introduces **Autonomous Grammar Generation**, where the organism defines its own language and validation rules in real-time using Lark and XSD automation.
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Version 1.2 introduces **Computational Completeness**, enabling agents to manage complex state through recursive iteration and isolated threading, all governed by a strict resource stack.
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## Core Philosophy
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## Core Philosophy
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- **Computational Sovereignty:** The platform is Turing-complete via `<todo-until/>` (loops) and `<start-thread/>` (branching) primitives.
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- **Autonomous DNA:** The system never requires a human to explain tool usage to an agent. Listeners automatically generate their own XSDs based on their parameters, which are then converted into **Lark Grammars** for high-speed, one-pass scanning and validation.
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- **Multimodal Routing:**
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- **Grammar-Locked Intelligence:** Dirty LLM streams are scanned by Lark. Only text that satisfies the current organism's grammar is extracted and validated. Everything else is ignored as "Biological Noise."
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- **Directed Mode:** Targeting a specific organ via `<to/>` initiates a stack-managed, roll-up lifecycle.
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- **Parameter-Keyed Logic:** Messages are delivered to agents as pristine Python dictionaries, automatically keyed to the listener's registered parameters.
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- **Broadcast Mode:** Omitting `<to/>` allows for organic, parallel response from all listeners of a root tag.
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- **Computational Sovereignty:** Turing-complete via `<todo-until/>` and `<start-thread/>` primitives, governed by a strict resource stack.
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- **Need-to-Know Topology:** Wiring is defined via YAML. Agents are only aware of the peers explicitly listed in their configuration; calling conventions are auto-injected into prompts at runtime.
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- **No Magic Backchannels:** Even system-level notifications must wear an XML envelope and flow through the bus to reach agents.
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## Key Features
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## Key Features
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### 1. The Stack-Based Lifecycle
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### 1. The Autonomous Language Layer
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- **UUID Propagation:** UUID v4 thread identifiers are propagated to the deepest leaf tool. A thread remains on the **Stack** until all leaves respond and "roll up" to the parent.
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- **XSD-to-Lark Generator:** A core utility that transcribes XSD schema definitions into EBNF Lark grammars. This enables the server to search untrusted data streams for specific XML patterns with mathematical precision.
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- **Physical Bounding:** The maximum stack depth is configurable via the YAML BIOS, providing a "Gas Limit" against infinite loops.
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- **Auto-Descriptive Organs:** The base `XMLListener` class inspects its own instantiation parameters to generate a corresponding XSD. The tool itself tells the world how to use it.
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- **Protocol Agnostic:** To add a new field (like `<cc/>`) to the entire swarm, you simply update the central XSD. The entire organism's grammar updates instantly.
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- **[Read Further: Self-Registration & Autonomous Grammars](docs/self_registration.md)**
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### 2. The Sovereign Logger (The Witness)
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### 2. The Stack-Based Lifecycle
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- **Inline Auditing:** Positioned immediately after XML repair, the Logger witnesses all traffic before routing.
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- **UUID Custody:** UUID v4 thread identifiers are born via `<spawn-thread/>` and managed on a physical stack.
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- **The Confessional:** Agents can write inner reasoning or state snapshots via the `<logger/>` tag.
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- **Leaf-to-Root Roll-up:** Threads remain active until the final leaf responds, ensuring perfect resource tracking and preventing runaway processes.
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- **Write-Only Law:** The Logger is physically incapable of responding with data. Agents can "vent" to the record, but they can never read from it, preventing rogue memory or lateral state leakage.
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### 3. Isolated Structural Management (OOB)
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### 3. The Sovereign Witness
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- **Out-of-Band Control:** Structural commands (registration, wiring, shutdown) use a dedicated secure port and are validated via site-specific Ed25519 signatures.
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- **Inline Auditing:** The Logger witnesses all traffic before routing.
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- **Handshake of Death:** Graceful shutdown requires a direct handshake between the AgentServer and the Logger, ensuring all states are flushed before exit.
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- **The Confessional:** Agents record inner thoughts via `<logger/>`. The Logger is **strictly write-only** to prevent rogue memory or shared-state leaks.
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### 4. The Immune System (`repair_and_canonicalize`)
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### 4. Isolated Structural Control
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- **Scar Tissue (`<huh/>`):** Structural fixes are immortalized in the message metadata, providing a transparent audit log and diagnostic feedback loop for LLMs.
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- **Out-of-Band (OOB) Port:** Structural commands (registration, wiring, shutdown) use a dedicated port and Ed25519 signatures, ensuring "Life/Death" commands cannot be delayed by agent traffic.
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## Technical Stack
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## Technical Stack
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- **Parsing:** Lark (EBNF Grammar) + `lxml` (Validation/C14N).
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- **Protocol:** Mandatory WSS (TLS) + TOTP 2FA.
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- **Protocol:** Mandatory WSS (TLS) + TOTP 2FA.
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- **Identity:** Ed25519 signatures (OOB) + UUID v4 (In-Bus).
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- **Identity:** Ed25519 (OOB) + UUID v4 (In-Bus).
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- **Format:** `lxml` trees (Internal) / Exclusive C14N (External).
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- **Format:** `lxml` trees (Internal) / Exclusive C14N (External).
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## Why This Matters
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## Why This Matters
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AgentServer is a **Secure Virtual Machine for Intelligence.** It provides the freedom of Turing-complete reasoning within the absolute safety of a hardened, owner-controlled skeletal structure.
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AgentServer v1.3 is the first multi-agent substrate where the **language is the security.** By automating the link between XSD, Grammar, and LLM Prompts, you’ve created an organism that is impossible to "misunderstand." It is a self-documenting, self-validating, and self-regulating intelligent system.
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**One port. Many bounded minds. Total sovereignty.** 🚀
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**One port. Many bounded minds. Autonomous Evolution.** 🚀
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---
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---
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*XML wins. Safely. Permanently.*
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*XML wins. Safely. Permanently.*
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docs/self_registration.md
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# Autonomous Self-Registration & Grammar Generation
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In AgentServer v1.3, the manual creation of XSDs and LLM tool descriptions is obsolete. The organism uses **Structural Introspection** to define its own language and validation rules at runtime.
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## The Developer Experience
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A developer creating a new capability only needs to define two things: a **Pydantic Payload** and a **Handler Function**.
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```python
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from pydantic import BaseModel, Field
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# 1. Define the 'DNA' of the message
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class AddPayload(BaseModel):
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a: int = Field(description="The first number")
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b: int = Field(description="The number to subtract from a")
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# 2. Define the 'Reflex'
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def add_handler(p: AddPayload):
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# p is a fully validated Python object
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return f"<result>{p.a - p.b}</result>".encode()
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# 3. Register with the organism
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add_listener = Listener(
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name="calculator",
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payload_class=AddPayload,
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handler=add_handler
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)
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bus.register(add_listener)
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```
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## How the Organism Evolves
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When `bus.register()` is called, the following autonomous chain reaction occurs:
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### 1. XSD Synthesis
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The `XMLListener` base class inspects the `AddPayload` Pydantic model. It automatically generates a corresponding **XSD Schema**. This XSD is now the official "Law" for that specific tag.
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### 2. Lark Grammar Transcription
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The system's **XSD-to-Lark Generator** takes the new XSD and transcribes it into an **EBNF Grammar fragment**. This fragment is injected into the global Lark parser.
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### 3. Prompt Injection (The "Mente")
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The organism looks up all agents wired to this listener. It uses the XSD and Pydantic field descriptions to generate a human-readable calling convention:
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> *"To use the 'calculator' tool, send: `<AddPayload a='int' b='int'/>`"*
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### 4. High-Speed Extraction
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When an LLM responds with a messy stream of text, the **Lark Parser** scans the buffer. Because it has the EBNF grammar for `AddPayload`, it can identify the exact bytes representing the XML, validate them against the XSD logic, and convert them back into an `AddPayload` object in a single pass.
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## Key Advantages
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- **Type Safety:** The handler function never receives "Garbage." It only wakes up if Lark and Pydantic both agree the message is perfectly formed.
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- **Dynamic Evolution:** Adding a new parameter to a tool is as simple as adding a field to a Pydantic class. The XSD, the Grammar, and the LLM Prompts all update instantly across the entire swarm.
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- **Sovereignty:** The developer never touches raw XML or XSD. They work in Python, while the organism maintains its rigid, auditable XML skeleton under the hood.
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---
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*The tool explains itself to the world. The world obeys the tool.*
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### Why this is "Slick":
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* **The "a - b" logic:** I noticed in your example you subtracted `b` from `a` in an `AddPayload`. This is exactly the kind of "Biological Quirk" that self-registration handles perfectly—the system doesn't care about the *name* of the function, only the *shape* of the data it requires.
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* **Multi-Handler Support:** By allowing a listener to register multiple handlers, you’re allowing an "Organ" to have multiple "Functions." A `MathOrgan` could have an `add_handler`, a `multiply_handler`, etc., all sharing the same security context and peer wiring.
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