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564 lines
19 KiB
JSON
564 lines
19 KiB
JSON
{
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"發送 Telegram 指令",
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"寫入主機",
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"source_id": "google_adk_docs",
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"type": "docs",
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{
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"type": "github_release",
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{
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"source_id": "microsoft_agent_framework_docs",
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"type": "docs",
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"url": "https://learn.microsoft.com/en-us/agent-framework/overview/"
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]
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},
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{
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|
||
"awoooi_role": "RAG / LLM app evaluation metrics 候選",
|
||
"evaluation_priority": "p1",
|
||
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|
||
"requires_dependency_approval": true,
|
||
"requires_security_review": true,
|
||
"sources": [
|
||
{
|
||
"source_id": "ragas_pypi",
|
||
"type": "pypi",
|
||
"url": "https://pypi.org/pypi/ragas/json"
|
||
},
|
||
{
|
||
"source_id": "ragas_docs",
|
||
"type": "docs",
|
||
"url": "https://docs.ragas.io/en/stable/"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"candidate_id": "langfuse_observability",
|
||
"display_name": "Langfuse",
|
||
"technology_area": "evaluation_and_observability",
|
||
"integration_surface": "llm_observability_tracing",
|
||
"awoooi_role": "LLM trace / prompt / eval observability 候選",
|
||
"evaluation_priority": "p1",
|
||
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|
||
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|
||
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|
||
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|
||
{
|
||
"source_id": "langfuse_pypi",
|
||
"type": "pypi",
|
||
"url": "https://pypi.org/pypi/langfuse/json"
|
||
},
|
||
{
|
||
"source_id": "langfuse_docs",
|
||
"type": "docs",
|
||
"url": "https://langfuse.com/docs"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"candidate_id": "huggingface_tgi",
|
||
"display_name": "Hugging Face Text Generation Inference",
|
||
"technology_area": "model_serving",
|
||
"integration_surface": "self_hosted_model_serving",
|
||
"awoooi_role": "自託管模型 serving 能力與版本 freshness 來源",
|
||
"evaluation_priority": "p2",
|
||
"requires_cost_approval": true,
|
||
"requires_dependency_approval": true,
|
||
"requires_security_review": true,
|
||
"sources": [
|
||
{
|
||
"source_id": "tgi_github_release",
|
||
"type": "github_release",
|
||
"url": "https://api.github.com/repos/huggingface/text-generation-inference/releases/latest"
|
||
},
|
||
{
|
||
"source_id": "tgi_docs",
|
||
"type": "docs",
|
||
"url": "https://huggingface.co/docs/text-generation-inference/index"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"candidate_id": "vllm_serving",
|
||
"display_name": "vLLM",
|
||
"technology_area": "model_serving",
|
||
"integration_surface": "self_hosted_llm_inference",
|
||
"awoooi_role": "自託管 LLM inference 候選，需 GPU/成本/安全 gate",
|
||
"evaluation_priority": "p2",
|
||
"requires_cost_approval": true,
|
||
"requires_dependency_approval": true,
|
||
"requires_security_review": true,
|
||
"sources": [
|
||
{
|
||
"source_id": "vllm_pypi",
|
||
"type": "pypi",
|
||
"url": "https://pypi.org/pypi/vllm/json"
|
||
},
|
||
{
|
||
"source_id": "vllm_github_release",
|
||
"type": "github_release",
|
||
"url": "https://api.github.com/repos/vllm-project/vllm/releases/latest"
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"discovery_sources": [
|
||
{
|
||
"source_id": "github_ai_agent_discovery",
|
||
"type": "github_search",
|
||
"url": "https://api.github.com/search/repositories?q=topic:ai-agent+stars:%3E5000&sort=updated&order=desc"
|
||
},
|
||
{
|
||
"source_id": "github_mcp_discovery",
|
||
"type": "github_search",
|
||
"url": "https://api.github.com/search/repositories?q=topic:mcp+stars:%3E1000&sort=updated&order=desc"
|
||
},
|
||
{
|
||
"source_id": "github_rag_discovery",
|
||
"type": "github_search",
|
||
"url": "https://api.github.com/search/repositories?q=topic:rag+stars:%3E3000&sort=updated&order=desc"
|
||
}
|
||
]
|
||
}
|