fireworks[patch]: Add Fireworks partner packages (#17694)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>

libs/partners/fireworks/langchain_fireworks/embeddings.py

@@ -0,0 +1,52 @@
+import os
+from typing import Any, Dict, List
+
+from langchain_core.embeddings import Embeddings
+from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
+from langchain_core.utils import convert_to_secret_str
+from openai import OpenAI  # type: ignore
+
+
+class FireworksEmbeddings(BaseModel, Embeddings):
+    """FireworksEmbeddings embedding model.
+
+    Example:
+        .. code-block:: python
+
+            from langchain_fireworks import FireworksEmbeddings
+
+            model = FireworksEmbeddings(
+                model='nomic-ai/nomic-embed-text-v1.5'
+            )
+    """
+
+    _client: OpenAI = Field(default=None)
+    fireworks_api_key: SecretStr = convert_to_secret_str("")
+    model: str = "nomic-ai/nomic-embed-text-v1.5"
+
+    @root_validator()
+    def validate_environment(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate environment variables."""
+        fireworks_api_key = convert_to_secret_str(
+            values.get("fireworks_api_key") or os.getenv("FIREWORKS_API_KEY") or ""
+        )
+        values["fireworks_api_key"] = fireworks_api_key
+
+        # note this sets it globally for module
+        # there isn't currently a way to pass it into client
+        api_key = fireworks_api_key.get_secret_value()
+        values["_client"] = OpenAI(
+            api_key=api_key, base_url="https://api.fireworks.ai/inference/v1"
+        )
+        return values
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        """Embed search docs."""
+        return [
+            i.embedding
+            for i in self._client.embeddings.create(input=texts, model=self.model).data
+        ]
+
+    def embed_query(self, text: str) -> List[float]:
+        """Embed query text."""
+        return self.embed_documents([text])[0]