# mem0/embeddings/openai.py (v1.0.3), line 44-49
def embed(self, text, memory_action=None):
    text = text.replace("\n", " ")
    return (
        self.client.embeddings.create(
            input=[text], model=self.config.model, dimensions=self.config.embedding_dims
        )  # <- no encoding_format
        .data[0]
        .embedding
    )

if not is_given(encoding_format):
    params["encoding_format"] = "base64"

from openai import OpenAI

client = OpenAI(
    api_key="sk-or-...",
    base_url="https://openrouter.ai/api/v1"
)

# This mirrors exactly what mem0 does -- no encoding_format
# SDK sends encoding_format="base64" to OpenRouter
# Intermittently raises: ValueError("No embedding data received")
for i in range(10):
    try:
        response = client.embeddings.create(
            input=["Hello world"],
            model="openai/text-embedding-3-small",
            dimensions=1536,
            # No encoding_format -> SDK defaults to "base64"
        )
        print(f"Call {i+1}: OK")
    except ValueError as e:
        print(f"Call {i+1}: FAILED -- {e}")

# With explicit encoding_format="float", all 10 succeed:
for i in range(10):
    response = client.embeddings.create(
        input=["Hello world"],
        model="openai/text-embedding-3-small",
        dimensions=1536,
        encoding_format="float",  # <- fix
    )
    assert len(response.data) == 1
    print(f"Call {i+1}: OK ({len(response.data[0].embedding)} dims)")

# mem0/embeddings/openai.py
def embed(self, text, memory_action=None):
    text = text.replace("\n", " ")
    return (
        self.client.embeddings.create(
            input=[text],
            model=self.config.model,
            dimensions=self.config.embedding_dims,
            encoding_format="float",  # <- explicit float for proxy compatibility
        )
        .data[0]
        .embedding
    )

# mem0/configs/embeddings/base.py
class BaseEmbedderConfig(BaseModel):
    ...
    encoding_format: str = "float"  # "float" or "base64"