9.7 KiB
Stage 2: Reason (reason.lisp)
- Stage 2: Reason (reason.lisp)
- Probabilistic Engine Infrastructure
- The Cognitive Cycle
- The Reasoning Pipeline Stage
Stage 2: Reason (reason.lisp)
Architectural Intent: Unified Cognition
The Reason stage is the cognitive engine of the OpenCortex. Its primary responsibility is to bridge the gap between raw sensory data (Perceive) and physical side-effects (Act).
Cognition is split into two distinct modes:
- Probabilistic Reasoning: Utilizing LLMs to generate creative proposals and understand natural language intent.
- Deterministic Verification: Utilizing native Lisp logic to verify and constrain the neural proposals against security and physics invariants.
This hybrid approach ensures the agent is both intelligent and mathematically safe.
Pipeline Initialization
(in-package :opencortex)
Probabilistic Engine Infrastructure
Neural Backend Registry
OpenCortex is provider-agnostic. All neural backends (OpenRouter, Ollama, etc.) register themselves here.
(defvar *probabilistic-backends* (make-hash-table :test 'equal)
"A global mapping of provider identifiers (keywords) to their respective execution functions.")
Provider Cascade Configuration
(defvar *provider-cascade* nil
"An ordered list of providers to attempt if the primary one fails.")
(defvar *model-selector-fn* nil
"A hook for dynamic model selection based on context complexity.")
(defvar *consensus-enabled-p* nil
"Flag to enable parallel multi-model voting (not implemented in MVP).")
Backend Registration Helper
(defun register-probabilistic-backend (name fn)
"Registers a neural provider with its calling function."
(setf (gethash name *probabilistic-backends*) fn))
The Cognitive Cycle
Probabilistic Call (probabilistic-call)
The primary interface for neural reasoning. It iterates through the cascade until a successful response is achieved or the cascade is exhausted.
(defun probabilistic-call (prompt &key (system-prompt "You are the Probabilistic engine.") (cascade nil) (context nil))
"Dispatches a neural request through the provider cascade. Returns a Lisp plist or a failure log."
(let ((backends (or cascade *provider-cascade*)))
(or (dolist (backend backends)
(let ((backend-fn (gethash backend *probabilistic-backends*)))
(when backend-fn
(harness-log "PROBABILISTIC: Attempting backend ~a..." backend)
(let* ((model (when *model-selector-fn* (funcall *model-selector-fn* backend context)))
(result (if model
(funcall backend-fn prompt system-prompt :model model)
(funcall backend-fn prompt system-prompt))))
(cond ((and (listp result) (eq (getf result :status) :success))
(return (getf result :content)))
((stringp result) (return result))
(t (harness-log "PROBABILISTIC: Backend ~a failed: ~a" backend (getf result :message))))))))
(list :type :LOG :payload (list :text "Neural Cascade Failure: All providers exhausted.")))))
LLM Output Sanitization (strip-markdown)
Modern LLMs often wrap Lisp code in markdown backticks. This helper ensures the code is clean before the Lisp reader touches it.
(defun strip-markdown (text)
"Strips common markdown code block markers from text to ensure valid S-expression parsing."
(if (and text (stringp text))
(let ((cleaned text))
(setf cleaned (cl-ppcre:regex-replace-all "^```[a-z]*\\n" cleaned ""))
(setf cleaned (cl-ppcre:regex-replace-all "\\n```$" cleaned ""))
(setf cleaned (cl-ppcre:regex-replace-all "```" cleaned ""))
(string-trim '(#\Space #\Newline #\Tab) cleaned))
text))
The Thought Process (Think)
The core logic that prepares the "mind" for reasoning. It assembles the global awareness (Memex status, recent logs, active tasks) and provides a strict protocol template for the LLM to follow.
(defun think (context)
"Generates a Lisp action proposal based on current context."
(let* ((active-skill (find-triggered-skill context))
(tool-belt (generate-tool-belt-prompt))
(global-context (context-assemble-global-awareness))
(system-logs (context-get-system-logs))
(assistant-name (or (uiop:getenv "MEMEX_ASSISTANT") "Agent")))
(let* ((prompt-generator (when active-skill (skill-probabilistic-prompt active-skill)))
(raw-prompt (if prompt-generator
(funcall prompt-generator context)
(let ((p (proto-get (proto-get context :payload) :text)))
(if (and p (stringp p)) p "Maintain metabolic stasis."))))
(system-prompt (format nil "IDENTITY: ~a. MANDATE: Respond with ONE Lisp plist. ~a ~a RECENT_LOGS: ~a
IMPORTANT: To reply to the user, you MUST use:
(:TYPE :REQUEST :PAYLOAD (:ACTION :MESSAGE :TEXT \"<Response Text>\"))
To call a tool, you MUST use:
(:TYPE :REQUEST :TARGET :TOOL :ACTION :CALL :TOOL \"<name>\" :ARGS (:arg1 \"val\"))
PROVIDER RULE: Always use the default cascade provider unless a specific model or capability is required for the task."
assistant-name global-context tool-belt system-logs)))
(let* ((thought (probabilistic-call raw-prompt :system-prompt system-prompt :context context))
(cleaned (strip-markdown thought))
(meta (proto-get context :meta))
(source (proto-get meta :source)))
(if (and cleaned (stringp cleaned))
(let ((*read-eval* nil))
(if (and (> (length cleaned) 0) (char= (char cleaned 0) #\())
(handler-case
(let ((parsed (read-from-string cleaned)))
(let ((type (proto-get parsed :TYPE))
(target (or (proto-get parsed :TARGET) (proto-get parsed :target))))
(cond ((member type '(:REQUEST :EVENT :STATUS :RESPONSE))
(unless (proto-get parsed :target) (setf (getf parsed :target) (or source :CLI)))
parsed)
;; Handle raw plists or lists of plists that look like tool calls or data
((or (eq target :TOOL) (eq target :tool) (getf parsed :TOOL) (getf parsed :tool)
(and (listp parsed) (listp (car parsed)) (keywordp (caar parsed))))
(list :TYPE :REQUEST :TARGET :TOOL :PAYLOAD parsed))
(t (list :TYPE :REQUEST :TARGET (or source :CLI) :PAYLOAD (list :ACTION :MESSAGE :TEXT cleaned))))))
(error (c) (list :TYPE :REQUEST :TARGET (or source :CLI) :PAYLOAD (list :ACTION :MESSAGE :TEXT cleaned))))
(list :TYPE :REQUEST :TARGET (or source :CLI) :PAYLOAD (list :ACTION :MESSAGE :TEXT cleaned))))
thought)))))
Deterministic Verification
The final safety check. It iterates through all active skills to verify that the proposed neural action does not violate any invariants.
(defun deterministic-verify (proposed-action context)
"Iterates through all skill deterministic-gates sorted by priority. Ensures absolute safety of the neural proposal."
(let ((current-action proposed-action)
(skills nil))
(maphash (lambda (name skill) (declare (ignore name)) (when (skill-deterministic-fn skill) (push skill skills))) *skills-registry*)
(setf skills (sort skills #'> :key #'skill-priority))
(dolist (skill skills)
(let ((trigger (skill-trigger-fn skill))
(gate (skill-deterministic-fn skill)))
(when (or (null trigger) (ignore-errors (funcall trigger context)))
(let ((next-action (funcall gate current-action context)))
(let ((original-type (proto-get current-action :type)))
(when (and (listp next-action)
(member (proto-get next-action :type) '(:LOG :EVENT :log :event))
(or (not (member original-type '(:LOG :EVENT :log :event)))
(not (eq next-action current-action))))
(harness-log "DETERMINISTIC: Intercepted by skill '~a'" (skill-name skill))
(return-from deterministic-verify next-action)))
(setf current-action next-action)))))
current-action))
The Reasoning Pipeline Stage
Reasoning Gate (reason-gate)
The stage that ties it all together. It filters stimuli that don't require cognition (like internal heartbeat pulses) and executes the hybrid neural-logical loop.
(defun reason-gate (signal)
"Unified Stage: Combines Probabilistic proposals and Deterministic verification."
(let* ((type (proto-get signal :type))
(payload (proto-get signal :payload))
(sensor (proto-get payload :sensor)))
;; Optimization: Only reason about user input or chat messages.
(unless (and (eq type :EVENT) (member sensor '(:user-input :chat-message)))
(return-from reason-gate signal))
(let ((candidate (think signal)))
(if candidate
(setf (getf signal :approved-action) (deterministic-verify candidate signal))
(setf (getf signal :approved-action) nil))
(setf (getf signal :status) :reasoned)
signal)))