Handwritten Agent Core Embeddings
zero-agent-core-embeddings 为 Agent Core 的 Embeddings 协议提供 OpenAI、Gemini 和
Ollama 实现。Core 的 Retriever 和 VectorStore 不依赖任何厂商 SDK。
pip install "zero-agent-core-embeddings[openai]"
pip install "zero-agent-core-embeddings[gemini]"
pip install "zero-agent-core-embeddings[ollama]"
from agent_core_embeddings import OpenAIEmbeddings
embeddings = OpenAIEmbeddings(
api_key="从安全配置读取",
model="text-embedding-3-small",
)
vectors = await embeddings.embed_documents(["第一段", "第二段"])
query_vector = await embeddings.embed_query("查询内容")
三个适配器共享批处理、并发、有限重试、超时、有限值和维度校验。API Key 和模型选择由应用配置，
扩展包不读取 .env。
1 maintainer
Metadata
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Release files for zero-agent-core-embeddings 0.1.0
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| zero_agent_core_embeddings-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.4 kB
Release files / zero_agent_core_embeddings-0.1.0.tar.gz
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