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16 changes: 16 additions & 0 deletions .forge/specs/explain/spec.md
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# Spec: explain

## What
explain

## Why
<!-- fill in business rationale -->

## Acceptance Criteria
- [ ] <!-- add at least one criterion (Given/When/Then) -->

## Non-Functional Requirements
- [ ] <!-- latency / throughput / availability -->

## Out of scope
<!-- list explicit exclusions -->
19 changes: 19 additions & 0 deletions .forge/specs/explain/spec.yml
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# forge spec manifest — auto-generated by `forge ship spec`
# Edit spec.md instead; this file is regenerated on each `forge ship spec` run.
schema_version: 1
id: explain
feature: explain
status: draft
created_at: "2026-05-21T16:13:56Z"
acceptance_criteria:
- <!-- latency / throughput / availability -->
scan_policy:
families:
- secrets
- sca
- sast
- license
- iac
- container
- api
- supply-chain
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```markdown
# Architecture Decision Record: Forge Ship V2 Token-Efficiency and Context-Budget Improvements

## 1. Component Topology
The Forge Ship V2 pipeline has the following components:
- **Input Processor:** Pre-tokenizes and preprocesses user input.
- **Context Manager:** Manages token pruning, prioritization of high-value context, and boundary handling.
- **Model Runner:** Handles encoding, attention mechanisms, and decoding via Transformer-based architecture.
- **Output Processor:** Post-processes responses, including token-optimization adaptations.

### Boundaries:
- **Input Processor ↔ Context Manager:** Passes tokenized input with metadata for contextual prioritization.
- **Context Manager ↔ Model Runner:** Exchanges context-prioritized input token lists.
- **Model Runner ↔ Output Processor:** Transmits raw model-generated output for semantic validation and token efficiency reconciliation.

### Relationships:
- Input Processor → Context Manager → Model Runner → Output Processor → End User

## 2. API Contracts
All enhancements will interact with client systems through a standard RESTful interface.

- API Style: **Resource-oriented paths (REST)**
- Referenced Contract: See OpenAPI spec appended below.

Primary APIs:
- `POST /api/v1/token-efficiency`: Optimizes token usage for provided input contexts.
- `POST /api/v1/context-budget`: Prioritizes and trims context to maximize contextual relevance and utilization within token limits.

## 3. Data Model & Consistency
### Data Entities:
- **TokenMetadata:** Encodes token properties such as importance, source, and sequence context.
- **ContextState:** Tracks current context composition and trims prioritized portions.
- **ProcessingMetrics:** Logs efficiency statistics, e.g., reductions achieved and latency impacts.

### Migration Strategy:
No structural database migrations are needed. Any new metadata (e.g., context prioritization logs) will be stored in existing operational event pipelines.

### Consistency Model:
Eventual consistency is sufficient for metrics aggregation. Critical path (context and token reduction) operates in strongly consistent mode to ensure processing integrity.

## 4. Non-Functional Requirements
- **p99 Latency:** ≤ 5% increase over baseline latencies for high-complexity inputs.
- **Throughput:** Sustained processing at scale for 50,000 context requests/hour with linear scaling.
- **Availability:** ≥ 99.95%.

## 5. Security Threat Model
### STRIDE Threats:
1. **Spoofing:** Secure token handling through strict validation of input integrity.
2. **Tampering:** Context-manager operations restricted by role-permission boundaries.
3. **Repudiation:** Log key operations (context prioritization, token reductions) with traceable request IDs.
4. **Information Disclosure:** Ensure context trimming doesn’t inadvertently retain sensitive user data.
5. **Denial of Service:** Rate limits and backpressure mechanisms on API endpoints.
6. **Elevation of Privileges:** Authenticate all traffic using JWTs scoped to user roles.

### Mitigations:
- **Authentication:** Supabase anon/service-role JWT tokens.
- **Authorization:** Enforce resource-scoped access control at API and context-management layers.
- **Transport Security:** Enforce HTTPS.

## 6. Deployment & Observability
### Deployment Topology:
- Horizontal scaling for all pipeline components, with autoscaling policies based on token complexity metrics.

### Observability:
- **Health Checks:** Liveness and readiness endpoints for each service.
- **Metrics:** Include token inefficiency rates, context prioritization accuracy, and processing latency.
- **Tracing:** Use OpenTelemetry to trace requests through each pipeline stage.
- **Disaster Recovery Plan:** RPO < 5 minutes, RTO < 30 minutes, cross-region deployments.

---

## ADR Summary
- **Status:** Accepted.
- **Context:** Improvements to token-efficiency and context-budget management for scaling Forge Ship V2.
- **Decision:** Introduce token-reduction heuristics and dynamic context prioritization logic. Implement interfaces for runtime operation with backward compatibility.
- **Consequences:** Achieves measurable cost and performance benefits but requires API consumers to validate against new contracts and metrics.

> See [openapi.yaml](openapi.yaml) for the full API contract.
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```markdown
# Task Breakdown for Forge Ship V2 - RFC-005 P1+P2 Token-Efficiency and Context-Budget Improvements

---

## Task List

### **1. OpenAPI Schema Verification**
**Task ID:** FS2-RFC005-T001
**Title:** Validate OpenAPI schema compatibility
**Description:** Review the provided OpenAPI schema to ensure it aligns with the Forge Ship V2 system's current and planned capabilities for token-efficiency and context-budget operations. Confirm schema structure, types, and definitions are syntactically correct and implementable.
**Effort:** S
**Dependencies:** None
**Acceptance Criteria:**
- OpenAPI schema passes validation using OpenAPI validators.
- All defined endpoints, operations, and schemas are determined to adhere to existing system constraints.

---

### **2. Setup Testing Framework**
**Task ID:** FS2-RFC005-T002
**Title:** Configure testing environment for token efficiency and context-budget improvements
**Description:** Set up a testing and benchmarking framework to measure token usage, latency, and context prioritization success rates.
**Effort:** M
**Dependencies:** None
**Acceptance Criteria:**
- Testing framework successfully runs against Forge Ship V2's development environment.
- Metrics (e.g., token usage reduction, context pruning success rates, and latency) can be tracked for every iteration.

---

### **3. Benchmark Current Metrics**
**Task ID:** FS2-RFC005-T003
**Title:** Establish baseline metrics for the current system
**Description:** Measure token usage, context utilization, and processing latency in the existing Forge Ship V2 system to establish benchmarks for comparison.
**Effort:** M
**Dependencies:** FS2-RFC005-T002
**Acceptance Criteria:**
- Benchmark data recorded for token usage, context spending efficiency, and average latency values under different input cases.
- Benchmarks documented and shared with the team.

---

### **4. Optimize Token Redundancy**
**Task ID:** FS2-RFC005-T004
**Title:** Implement token redundancy detection and optimization logic
**Description:** Create and integrate logic to identify and optimize redundant token patterns in user-provided inputs and system outputs, ensuring semantic integrity.
**Effort:** L
**Dependencies:** FS2-RFC005-T003
**Acceptance Criteria:**
- 10% or higher reduction in token usage for highly redundant inputs without altering user-intended semantics.
- New logic passes unit tests and integrates into the core Forge Ship V2 pipeline.

---

### **5. Implement Token Optimization API**
**Task ID:** FS2-RFC005-T005
**Title:** Implement `/api/v1/token-efficiency` endpoint operation
**Description:** Develop the backend logic for the `optimizeTokens` API endpoint, connecting the token optimization logic to a callable service.
**Effort:** S
**Dependencies:** FS2-RFC005-T004
**Acceptance Criteria:**
- API endpoint processes requests and applies the token optimization logic.
- Successful responses return optimized tokens in the defined format.

---

### **6. Optimize Context Pruning**
**Task ID:** FS2-RFC005-T006
**Title:** Implement logic for dynamic context pruning and prioritization
**Description:** Create and integrate functionality to prioritize relevant high-value context while dynamically trimming irrelevant or redundant information.
**Effort:** L
**Dependencies:** FS2-RFC005-T003
**Acceptance Criteria:**
- System prunes and prioritizes context dynamically, with success in at least 95% of operations.
- Context prioritization results are logged and reviewed for consistency.

---

### **7. Implement Context Budget API**
**Task ID:** FS2-RFC005-T007
**Title:** Implement `/api/v1/context-budget` endpoint operation
**Description:** Develop the backend logic for the `adjustContext` API endpoint, connecting the context pruning and prioritization logic to a callable service.
**Effort:** S
**Dependencies:** FS2-RFC005-T006
**Acceptance Criteria:**
- API endpoint processes requests and applies dynamic context prioritization logic.
- Successful responses return trimmed/prioritized context in the defined format.

---

### **8. Implement Batching Support**
**Task ID:** FS2-RFC005-T008
**Title:** Add support for batching in token optimization and context management
**Description:** Enhance processing pipelines to support batch optimization for efficient handling of multiple operations without degradation in latency or performance.
**Effort:** M
**Dependencies:** FS2-RFC005-T004, FS2-RFC005-T006
**Acceptance Criteria:**
- Batching support integrated for token optimization and context-management pipelines.
- Batch processing performance matches single-turn benchmarks within acceptable deviations.

---

### **9. Maintain Backward Compatibility**
**Task ID:** FS2-RFC005-T009
**Title:** Ensure backward compatibility across all changes
**Description:** Verify the implemented changes do not break compatibility with current client integrations. Introduce versioning schemes or compatibility patches if necessary.
**Effort:** M
**Dependencies:** FS2-RFC005-T005, FS2-RFC005-T007, FS2-RFC005-T008
**Acceptance Criteria:**
- All existing clients continue working seamlessly with the new APIs and optimizations.
- Compatibility verified through integration tests.

---

### **10. Security Review**
**Task ID:** FS2-RFC005-T010
**Title:** Conduct security assessment for new optimizations
**Description:** Assess the risk of inadvertent exposure of sensitive context data during token optimization and context adjustment operations. Implement mitigations if needed.
**Effort:** S
**Dependencies:** FS2-RFC005-T005, FS2-RFC005-T007
**Acceptance Criteria:**
- No security vulnerabilities found related to context data exposure.
- System preserves and enforces all privacy and security guidelines established for Forge Ship V2.

---

### **11. Performance Testing and Validation**
**Task ID:** FS2-RFC005-T011
**Title:** Validate performance and scalability of the updated system
**Description:** Perform extensive testing with real-world and synthetic datasets to ensure latency and scalability meet the defined criteria.
**Effort:** L
**Dependencies:** FS2-RFC005-T005, FS2-RFC005-T007, FS2-RFC005-T008
**Acceptance Criteria:**
- Processing latency does not exceed a 5% increase under high-complexity inputs.
- System scales to handle 4096-token inputs without a quality drop.

---

### **12. Documentation and Deployment**
**Task ID:** FS2-RFC005-T012
**Title:** Finalize documentation and deploy feature updates
**Description:** Update the documentation to reflect new token-efficiency and context-budget APIs. Coordinate deployment to production systems.
**Effort:** S
**Dependencies:** FS2-RFC005-T011
**Acceptance Criteria:**
- API documentation updates completed and reviewed.
- Successful deployment of updates with no major issues reported.

---

## Summary of Effort

- XS: 1 Task
- S: 5 Tasks
- M: 4 Tasks
- L: 3 Tasks
```
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