Defined append-only OpenAI capture pipeline architecture

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Defined append-only OpenAI capture pipeline architecture

  • Day: 2026-06-22
  • Time: 12:00 to 12:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: HIGH
  • Assignee: Matías Nehuen Iglesias
  • Tags: Openai-Api, Structured-Outputs, Event-Log, Architecture, Transcription, Append-Only

Description

Session Goal

Clarify the architecture for a local capture-processing pipeline and decide whether to use direct OpenAI API calls now versus adopting a higher-level agent framework later.

Key Activities

  • Reviewed recommendations for a deterministic, small-scope capture pipeline and concluded it should start with direct OpenAI API usage rather than Microsoft Agent Framework.
  • Compared framework options and explicitly deprioritized AutoGen and Semantic Kernel for new work.
  • Shaped the pipeline around an append-only event log as the stable contract, with staged event-based processing for transcription, routing, artifact generation, and reingest.
  • Collected implementation-oriented questions for OpenAI audio transcription, Responses API structured outputs, JSON schema design, retry handling, privacy, and Python SDK usage.
  • Drafted architecture guidance for handoff between office-window and office-auto-lab, emphasizing ownership boundaries, a finite ontology, and decoupled integration.
  • Produced a memo-style architecture for a process-only backend where office-window remains the UI/membrane and office-auto-lab handles backend processing.

Achievements

  • Established a clear technical direction: build directly on the OpenAI API first, while keeping the design migration-friendly for a future Microsoft Agent Framework transition.
  • Defined the append-only event log as the core stable interface for the system.
  • Clarified that transcription, routing, artifact generation, and reingest should be separate steps to improve idempotency and retry behavior.
  • Identified the minimal next implementation focus as architecture documentation plus shared constants/schemas.

Pending Tasks

  • Write the architecture documentation/handoff in a reusable form.
  • Define the shared event schema and finite ontology for the pipeline.
  • Implement the first PR for the capture pipeline using direct OpenAI API calls.
  • Validate file handling, retry strategy, and privacy constraints before coding further.

Evidence

  • source_file=2026-06-22.sessions.jsonl, line_number=4, event_count=0, session_id=4912e4d84657d847b00813fbd710bde8a11f3e1417b9d7c448653629c2599572
  • event_ids: []

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