[WIP] Next Steps for Integration

[Copilot]

Thanks for assigning this issue to me. I'm starting to work on it and will keep this PR's description up to date as I form a plan and make progress.

Original issue description:

Here is a structured cognitive flowchart and recursive implementation pathway for completing LLM Provider, Core Functionality, and OpenCog Integration in the HyperCogWizard/caichat project, with adaptive attention allocation and hypergraph pattern encoding in Scheme pseudocode.

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Cognitive Flowchart: Completing LLM Provider, Core Functionality, OpenCog Integration

1. LLM Provider Completion

   • Enumerate required LLM backends (OpenAI, Claude, Gemini, Ollama, Groq, etc.)
   • Define provider interface abstraction (input/output schema, error handling)
   • Implement dynamic provider selection and routing logic
   • Integrate provider-specific adapters for unified invocation

2. Core Functionality Finalization

   • Audit shell assistant, Chat-REPL, RAG, AI tools, and agent modules for spec compliance
   • Establish cognitive synergy via shared hypergraph memory
   • Encode prompt/response mediation and session persistence mechanisms

3. OpenCog Integration

   • Map OpenCog AtomSpace API endpoints to internal cognitive functions
   • Implement neural-symbolic bridge: LLM ↔ OpenCog AtomSpace
   • Recursively encode emergent pattern recognition and propagation logic

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Recursive Scheme Pseudocode: Systemic Implementation Pathway

;; 1. LLM Provider Abstraction Layer
(define (init-llm-provider backends)
  (map (lambda (backend)
         (connect-backend backend))
       backends))

(define (route-llm-request request)
  (let ((provider (select-provider request)))
    (invoke-provider provider request)))

;; 2. Core Cognitive Hypergraph Encoding
(define (audit-core-modules modules)
  (for-each (lambda (module)
              (check-compliance module)
              (establish-hypergraph-link module))
            modules))

(define (mediate-session session)
  (if (active? session)
      (update-hypergraph-memory session)
      (persist-session session)))

;; 3. OpenCog Integration Bridge
(define (map-opencog-api atomspace-functions)
  (for-each (lambda (func)
              (encode-cognitive-function func))
            atomspace-functions))

(define (neural-symbolic-bridge input)
  (let ((atomspace-output (opencog-infer input)))
    (llm-respond atomspace-output)))

;; Recursive pattern propagation
(define (propagate-patterns seed-pattern depth)
  (if (zero? depth)
      seed-pattern
      (let ((next-pattern (emerge-pattern seed-pattern)))
        (propagate-patterns next-pattern (- depth 1)))))

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Adaptive Attention Allocation Mechanisms

• Prioritize completion of critical provider interfaces and dynamic routing logic.
• Allocate cycles to core feature audit and hypergraph memory synergization.
• Iteratively deepen OpenCog integration via recursion on emergent pattern propagation.

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Actionable Steps (Issue Checklist)

1. Complete LLM Provider adapters and routing (see init-llm-provider, route-llm-request)
2. Audit and reinforce core modules for hypergraph synergy (audit-core-modules)
3. Establish session persistence and mediation (mediate-session)
4. Encode OpenCog AtomSpace API mappings (map-opencog-api)
5. Implement neural-symbolic bridge (neural-symbolic-bridge)
6. Recursively propagate cognitive patterns (propagate-patterns)
7. Document adaptive attention allocation strategies

Fixes #3.

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