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2026-07-13 12:20:32 +08:00

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name: 🔌 New Integration Proposal
description: Propose a new LLM, Embedding, or Vector DB provider.
body:
- type: markdown
attributes:
value: |
Please review our Vetting Criteria in CONTRIBUTING.md before submitting.
Low-effort requests or providers without an established user base or unique technical utility will be closed immediately.
- type: input
id: provider_name
attributes:
label: Provider Name
validations:
required: true
- type: input
id: provider_website
attributes:
label: Official Website URL
placeholder: "https://example.com"
validations:
required: true
- type: input
id: provider_docs
attributes:
label: API Documentation URL
placeholder: "https://docs.example.com"
validations:
required: true
- type: input
id: provider_privacy
attributes:
label: Privacy Policy URL
placeholder: "https://example.com/privacy"
validations:
required: true
- type: input
id: userbase_proof
attributes:
label: Proof of Active User Base & Demand
description: Provide clear evidence of active community traction (e.g., Hugging Face download metrics, GitHub repo stats, or organic community discussions).
validations:
required: true
- type: dropdown
id: models_endpoint
attributes:
label: Native Models Discovery
description: Does your API expose a standard GET `/v1/models` (or native equivalent) endpoint for dynamic model listing?
options:
- "Yes, it fully supports a model enumeration endpoint."
- "No, users must manually type in the model strings."
validations:
required: true
- type: dropdown
id: technical_delta
attributes:
label: Technical Compatibility Layer
options:
- "This provider is NOT OpenAI-compatible and requires custom SDK/orchestration logic."
- "This provider IS OpenAI-compatible (Stop here, use the Generic OpenAI Connector)."
validations:
required: true