Intent and specification files

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# Kontextual Engine Functional Requirements Specification V0.1
## kontextual-engine
---
## 1. System Overview
kontextual-engine is a **headless knowledge system** that enables persistent storage, transformation, retrieval, and AI-driven operation of structured and semi-structured knowledge across heterogeneous data sources.
This FRS defines the **externally observable functional behavior** of the system.
---
## 2. Actors and Interfaces
### 2.1 Primary Actors
* **User (Human Operator)** via API or service interface
* **Automation System (`atm`)** executing workflows
* **LLM Agent (`agt`)** interacting with knowledge and workflows
* **External Systems** integrating via APIs
---
### 2.2 System Interfaces
* Service API (HTTP, RPC, or equivalent)
* Programmatic API (SDK/library interface)
* Storage interface (abstracted from implementation)
---
## 3. Functional Requirements
---
## 3.1 Knowledge Persistence
### FR-001: Store Knowledge Artifacts
**Description:**
The system must allow storage of knowledge artifacts.
**Input:**
* Structured or semi-structured data
**Output:**
* Persisted knowledge artifact with identifier
---
### FR-002: Retrieve Knowledge Artifacts
The system must allow retrieval of stored knowledge artifacts by identifier or query.
---
### FR-003: Update Knowledge Artifacts
The system must allow modification of existing knowledge artifacts.
---
### FR-004: Delete Knowledge Artifacts
The system must allow removal of stored knowledge artifacts.
---
## 3.2 Knowledge Organization
### FR-010: Group Knowledge into Collections
The system must allow grouping knowledge artifacts into collections or domains.
---
### FR-011: Maintain Relationships
The system must allow defining and retrieving relationships between knowledge artifacts.
---
## 3.3 Ingestion and Normalization
### FR-020: Ingest Multi-Format Data
The system must accept input from multiple data formats (e.g. markdown, documents, files).
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### FR-021: Normalize Data
The system must convert ingested data into a structured representation usable by the system.
---
## 3.4 Query and Retrieval
### FR-030: Query Knowledge
The system must allow querying knowledge artifacts based on:
* Content
* Metadata
* Relationships
---
### FR-031: Return Query Results
The system must return matching knowledge artifacts and associated data.
---
## 3.5 Transformation and Composition
### FR-040: Transform Knowledge Artifacts
The system must allow applying transformations to knowledge artifacts.
---
### FR-041: Compose Knowledge
The system must allow combining multiple knowledge artifacts into derived outputs.
---
## 3.6 Workflow Orchestration
### FR-050: Execute Workflows
The system must allow execution of multi-step workflows on knowledge artifacts.
---
### FR-051: Manage Workflow Dependencies
The system must handle dependencies between workflow steps.
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### FR-052: Provide Workflow Results
The system must return results of workflow execution.
---
## 3.7 AI Interaction
### FR-060: Support AI-Driven Operations
The system must allow AI agents to:
* Access knowledge
* Trigger transformations
* Participate in workflows
---
### FR-061: Maintain Context for AI Interaction
The system must provide contextual information to support AI-driven operations.
---
## 3.8 Integration with External Tools
### FR-070: Integrate with Tooling
The system must allow integration with external tooling (e.g. markitect-tool).
---
### FR-071: Accept External Processing Results
The system must accept outputs from external tools and incorporate them into knowledge.
---
## 3.9 API Interaction
### FR-080: Provide API Access
The system must expose its capabilities through a programmatic interface.
---
### FR-081: Support External Invocation
The system must allow external systems to invoke operations on knowledge.
---
## 3.10 Error Handling
### FR-090: Provide Structured Errors
The system must return structured error information for invalid operations.
---
### FR-091: Avoid Silent Failures
The system must not silently ignore errors affecting correctness.
---
## 4. Functional Constraints
* Functions must be accessible through service interfaces
* System must support heterogeneous data formats
* AI-related functions must operate independently of specific providers
* System must not require CLI-based interaction
---
## 5. Traceability
| PRD Concept | FRS Coverage |
| ---------------------------- | ------------- |
| Knowledge persistence | FR-001FR-004 |
| Organization & relationships | FR-010FR-011 |
| Ingestion & normalization | FR-020FR-021 |
| Query & retrieval | FR-030FR-031 |
| Transformation & composition | FR-040FR-041 |
| Workflow orchestration | FR-050FR-052 |
| AI interaction | FR-060FR-061 |
| Integration | FR-070FR-071 |
| API access | FR-080FR-081 |
---
## 6. Acceptance Perspective
The system satisfies this FRS when:
* Knowledge can be stored, retrieved, and manipulated via API
* Queries return expected results
* Workflows execute and produce observable outputs
* AI agents can interact with knowledge meaningfully
* Errors are explicit and traceable