[docs]classFireworksEmbeddings(BaseModel,Embeddings):"""Fireworks embedding model integration. Setup: Install ``langchain_fireworks`` and set environment variable ``FIREWORKS_API_KEY``. .. code-block:: bash pip install -U langchain_fireworks export FIREWORKS_API_KEY="your-api-key" Key init args — completion params: model: str Name of Fireworks model to use. Key init args — client params: fireworks_api_key: SecretStr Fireworks API key. See full list of supported init args and their descriptions in the params section. Instantiate: .. code-block:: python from langchain_fireworks import FireworksEmbeddings model = FireworksEmbeddings( model='nomic-ai/nomic-embed-text-v1.5' # Use FIREWORKS_API_KEY env var or pass it in directly # fireworks_api_key="..." ) Embed multiple texts: .. code-block:: python vectors = embeddings.embed_documents(['hello', 'goodbye']) # Showing only the first 3 coordinates print(len(vectors)) print(vectors[0][:3]) .. code-block:: python 2 [-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915] Embed single text: .. code-block:: python input_text = "The meaning of life is 42" vector = embeddings.embed_query('hello') print(vector[:3]) .. code-block:: python [-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915] """client:OpenAI=Field(default=None,exclude=True)# type: ignore[assignment] # :meta private:fireworks_api_key:SecretStr=Field(alias="api_key",default_factory=secret_from_env("FIREWORKS_API_KEY",default="",),)"""Fireworks API key. Automatically read from env variable `FIREWORKS_API_KEY` if not provided. """model:str="nomic-ai/nomic-embed-text-v1.5"model_config=ConfigDict(populate_by_name=True,arbitrary_types_allowed=True,)@model_validator(mode="after")defvalidate_environment(self)->Self:"""Validate environment variables."""self.client=OpenAI(api_key=self.fireworks_api_key.get_secret_value(),base_url="https://api.fireworks.ai/inference/v1",)returnself