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