validate_environment() — langchain Function Reference

Architecture documentation for the validate_environment() function in embeddings.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ validate_environment() — langchain Function Reference

Dependency Diagram

graph TD
  78589fff_3de9_bddd_b676_7f7cd0fbcb35["validate_environment()"]
  8ffbd15a_923a_c258_fc8b_25df9b4cba69["MistralAIEmbeddings"]
  78589fff_3de9_bddd_b676_7f7cd0fbcb35 -->|defined in| 8ffbd15a_923a_c258_fc8b_25df9b4cba69
  style 78589fff_3de9_bddd_b676_7f7cd0fbcb35 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/embeddings.py lines 159–198

    def validate_environment(self) -> Self:
        """Validate configuration."""
        api_key_str = self.mistral_api_key.get_secret_value()
        # TODO: handle retries
        if not self.client:
            self.client = httpx.Client(
                base_url=self.endpoint,
                headers={
                    "Content-Type": "application/json",
                    "Accept": "application/json",
                    "Authorization": f"Bearer {api_key_str}",
                },
                timeout=self.timeout,
            )
        # TODO: handle retries and max_concurrency
        if not self.async_client:
            self.async_client = httpx.AsyncClient(
                base_url=self.endpoint,
                headers={
                    "Content-Type": "application/json",
                    "Accept": "application/json",
                    "Authorization": f"Bearer {api_key_str}",
                },
                timeout=self.timeout,
            )
        if self.tokenizer is None:
            try:
                self.tokenizer = Tokenizer.from_pretrained(
                    "mistralai/Mixtral-8x7B-v0.1"
                )
            except OSError:  # huggingface_hub GatedRepoError
                warnings.warn(
                    "Could not download mistral tokenizer from Huggingface for "
                    "calculating batch sizes. Set a Huggingface token via the "
                    "HF_TOKEN environment variable to download the real tokenizer. "
                    "Falling back to a dummy tokenizer that uses `len()`.",
                    stacklevel=2,
                )
                self.tokenizer = DummyTokenizer()
        return self