Merge branch 'main' into main

This commit is contained in:
IdleCloud
2025-03-15 17:23:08 +08:00
committed by GitHub
3 changed files with 44 additions and 44 deletions
+38 -38
View File
@@ -188,43 +188,43 @@ class GeminiEmbeddingAdapter(BaseEmbeddingAdapter):
return []
class SiliconFlowEmbeddingAdapter(BaseEmbeddingAdapter):
"""
基于 SiliconFlow 的 embedding 适配器
"""
def __init__(self, api_key: str, base_url: str, model_name: str):
# 自动为 base_url 添加 scheme(如果缺失)
if not base_url.startswith("http://") and not base_url.startswith("https://"):
base_url = "https://" + base_url
self.url = base_url if base_url else "https://api.siliconflow.cn/v1/embeddings"
self.payload = {
"model": model_name,
"input": "Silicon flow embedding online: fast, affordable, and high-quality embedding services. come try it out!",
"encoding_format": "float"
}
self.headers = {
"Authorization": "Bearer {api_key}".format(api_key=api_key),
"Content-Type": "application/json"
}
def embed_documents(self, texts: List[str]) -> List[List[float]]:
embeddings = []
for text in texts:
self.payload["input"] = text
response = requests.post(self.url, json=self.payload, headers=self.headers)
result = response.json()
# 从返回数据中提取第一个 embedding
emb = result.get("data", [{}])[0].get("embedding", [])
embeddings.append(emb)
return embeddings
def embed_query(self, query: str) -> List[float]:
self.payload["input"] = query
# print('SiliconFlowEmbeddingAdapter发送',self.payload)
response = requests.post(self.url, json=self.payload, headers=self.headers)
result = response.json()
return result.get("data", [{}])[0].get("embedding", [])
"""
基于 SiliconFlow 的 embedding 适配器
"""
def __init__(self, api_key: str, base_url: str, model_name: str):
# 自动为 base_url 添加 scheme(如果缺失)
if not base_url.startswith("http://") and not base_url.startswith("https://"):
base_url = "https://" + base_url
self.url = base_url if base_url else "https://api.siliconflow.cn/v1/embeddings"
self.payload = {
"model": model_name,
"input": "Silicon flow embedding online: fast, affordable, and high-quality embedding services. come try it out!",
"encoding_format": "float"
}
self.headers = {
"Authorization": "Bearer {api_key}".format(api_key=api_key),
"Content-Type": "application/json"
}
def embed_documents(self, texts: List[str]) -> List[List[float]]:
embeddings = []
for text in texts:
self.payload["input"] = text
response = requests.post(self.url, json=self.payload, headers=self.headers)
result = response.json()
# 从返回数据中提取第一个 embedding
emb = result.get("data", [{}])[0].get("embedding", [])
embeddings.append(emb)
return embeddings
def embed_query(self, query: str) -> List[float]:
self.payload["input"] = query
# print('SiliconFlowEmbeddingAdapter发送',self.payload)
response = requests.post(self.url, json=self.payload, headers=self.headers)
result = response.json()
return result.get("data", [{}])[0].get("embedding", [])
def create_embedding_adapter(
interface_format: str,
api_key: str,
@@ -246,6 +246,6 @@ def create_embedding_adapter(
elif fmt == "gemini":
return GeminiEmbeddingAdapter(api_key, model_name, base_url)
elif fmt == "siliconflow":
return SiliconFlowEmbeddingAdapter(api_key, base_url, model_name)
return SiliconFlowEmbeddingAdapter(api_key, base_url, model_name)
else:
raise ValueError(f"Unknown embedding interface_format: {interface_format}")