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A machine-readable mode would let people pull their current AI usage into scripts, status bars, or other tools.
Scope:
- Add a --json flag that prints the current usage for each detected provider as ...
enhancement
good first issue
help wanted
yagcioglutoprak
AIQuotaBar already tracks Claude, ChatGPT, Cursor, and Copilot. Gemini is the obvious next provider to add.
Scope:
- Add a provider entry for Gemini following the pattern of the existing ones.
- ...
enhancement
good first issue
help wanted
Summary
Author ADR 038 for multi-exit floor connectivity: replace scalar stairsUp/stairsDown on StratumFloor with
FloorExitLink[], compiled from a Graph Toolkit stratum topology graph (editor-only; no ...
documentation
miramocha
ISSUE-S6-I01: Pull Request Review Architecture Design
1. Issue Metadata
| Field | Value |
| --- | --- |
| Document ID | SOG-ISSUE-S6-I01-v1.0 |
| Domain | Platform Governance Developer Experience |
| ...
SachinSalunkeLead
Why
Hugging Face is the default distribution path for many open models, and teams often want either hosted Inference
endpoints or local transformers/sentence-transformers execution.
Scope
- Support ...
enhancement
C00ldudeNoonan
Why
Voyage AI is a common retrieval-focused provider and is already mentioned in the v0.2 embedding roadmap. It is a natural
first-class embedding/rerank provider for RAG pipelines.
Scope
- Add Voyage ...
enhancement
Why
Cohere is widely used for enterprise search/RAG workflows, especially embeddings and reranking. It should be considered
for both generation and retrieval primitives.
Scope
- Add Cohere provider ...
enhancement
Why
Mistral is a common option for teams that want strong hosted models plus open-weight model continuity. It is also
available directly and through cloud marketplaces/providers.
Scope
- Add Mistral ...
enhancement
Why
Google Vertex AI and Gemini are common managed AI targets, and Vertex AI also fits teams already running analytics and
ML workloads on Google Cloud.
Scope
- Add Gemini/Vertex provider support ...
enhancement
Why
AWS Bedrock is a common enterprise access layer for multiple foundation model families, including Anthropic, Cohere,
Meta, Mistral, and Amazon models. Supporting Bedrock gives dbt-ml a cloud-native ...
enhancement
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