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102 lines
3.8 KiB
Plaintext
102 lines
3.8 KiB
Plaintext
---
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slug: copilot
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title: 'Inside Sim Copilot — architecture, benchmarks, and how it fits'
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description: 'A technical overview of Sim Copilot: the architecture behind it, our early benchmarks, and how Copilot integrates with agentic workflows in Sim.'
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date: 2025-11-08
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updated: 2025-11-08
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authors:
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- sid
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readingTime: 7
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tags: [Copilot, AI Assistant, Benchmarks, Architecture, Sim]
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ogImage: /blog/copilot/cover.png
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ogAlt: 'Sim Copilot technical overview'
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about: ['AI Assistants', 'Agentic Workflows', 'Retrieval Augmented Generation']
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timeRequired: PT7M
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canonical: https://www.sim.ai/blog/copilot
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featured: false
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draft: true
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---
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> This is a technical deep‑dive scaffold for Sim Copilot. We’ll keep updating it as we publish more results and open up additional capabilities.
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## TL;DR
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- Copilot is a context‑aware assistant embedded into the Sim editor.
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- It has first‑class access (with user approval) to workflows, blocks, logs, and docs.
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- The system is retrieval‑centric with strong guardrails and deterministic execution paths.
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## Architecture at a glance
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1. Intent understanding
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- Lightweight classifier + instruction parser directs requests into tools.
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2. Context assembly
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- Indexed sources (workflows, blocks, logs, docs) with semantic and lexical signals.
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- Safety filters for scope + permission checks.
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3. Tooling and actions
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- Read‑only tools (explain, compare, search), propose‑changes tools, and execution tools.
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4. Response synthesis
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- Deterministic templates for diffs, plans, and explanations.
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5. Human‑in‑the‑loop
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- All writes gated behind explicit user approval.
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```mermaid
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flowchart LR
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U[User] --> I(Intent)
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I --> C(Context Builder)
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C -->|RAG| R[Retriever]
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R --> T(Tools)
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T --> S(Response Synth)
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S --> U
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```
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## Retrieval and grounding
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- Sources: workspace workflows, block metadata, execution logs, and product docs.
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- Indexing: hybrid scoring (BM25 + embeddings) with recency decay and per‑source caps.
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- Normalization: chunking with stable anchors so diffs remain line‑referential.
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## Early benchmarks (scaffold)
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> Numbers below are placeholders for the structure; we’ll replace with full runs.
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| Task | Top‑1 Retrieval@K | Edit Accuracy | Time (p50) |
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| ----------------------------------- | -----------------:| ------------: | ---------: |
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| Explain a workflow block | 92% | 88% | 1.2s |
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| Propose a safe fix for an error | 78% | 70% | 2.1s |
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| Generate a new block configuration | 74% | 65% | 2.6s |
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| Find relevant execution logs | 90% | 84% | 1.4s |
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Measurement notes:
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- Retrieval@K: correctness of the top candidate chunk for a labeled query.
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- Edit Accuracy: human‑validated acceptance rate for proposed changes.
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- Time: server‑side latency (excludes model cold‑start).
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## Guardrails and safety
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- Scope enforcement: actions limited to the open workspace with explicit user triggers.
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- Sensitive data policies and redaction in logs.
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- Proposal mode: diffs are reviewed and applied only on user approval.
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## How Copilot fits into Sim
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- In‑editor assistant for building and editing workflows.
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- Shortcut to documentation and examples with live context from your canvas.
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- Bridge to evaluation: Copilot can set up test runs and compare outputs side‑by‑side.
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- Works with the same permissions model you already use in Sim.
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## Roadmap (high‑level)
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- Multi‑turn plans with sub‑tasks and rollback.
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- Deeper evaluation harness and dataset management.
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- First‑party tool plugins for common blocks and providers.
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## Repro and transparency
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- We’ll publish a benchmark harness and anonymized evaluation sets.
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- Expect a detailed methodology post as we widen the beta.
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— Sid @ Sim
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