structure saas with tools

.venv/lib/python3.10/site-packages/litellm/llms/deepseek/chat/transformation.py

@@ -0,0 +1,55 @@
+"""
+Translates from OpenAI's `/v1/chat/completions` to DeepSeek's `/v1/chat/completions`
+"""
+
+from typing import List, Optional, Tuple
+
+from litellm.litellm_core_utils.prompt_templates.common_utils import (
+    handle_messages_with_content_list_to_str_conversion,
+)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.llms.openai import AllMessageValues
+
+from ...openai.chat.gpt_transformation import OpenAIGPTConfig
+
+
+class DeepSeekChatConfig(OpenAIGPTConfig):
+    def _transform_messages(
+        self, messages: List[AllMessageValues], model: str
+    ) -> List[AllMessageValues]:
+        """
+        DeepSeek does not support content in list format.
+        """
+        messages = handle_messages_with_content_list_to_str_conversion(messages)
+        return super()._transform_messages(messages=messages, model=model)
+
+    def _get_openai_compatible_provider_info(
+        self, api_base: Optional[str], api_key: Optional[str]
+    ) -> Tuple[Optional[str], Optional[str]]:
+        api_base = (
+            api_base
+            or get_secret_str("DEEPSEEK_API_BASE")
+            or "https://api.deepseek.com/beta"
+        )  # type: ignore
+        dynamic_api_key = api_key or get_secret_str("DEEPSEEK_API_KEY")
+        return api_base, dynamic_api_key
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        api_key: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
+        """
+        If api_base is not provided, use the default DeepSeek /chat/completions endpoint.
+        """
+        if not api_base:
+            api_base = "https://api.deepseek.com/beta"
+
+        if not api_base.endswith("/chat/completions"):
+            api_base = f"{api_base}/chat/completions"
+
+        return api_base

.venv/lib/python3.10/site-packages/litellm/llms/deepseek/cost_calculator.py

@@ -0,0 +1,21 @@
+"""
+Cost calculator for DeepSeek Chat models. 
+
+Handles prompt caching scenario.
+"""
+
+from typing import Tuple
+
+from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
+from litellm.types.utils import Usage
+
+
+def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]:
+    """
+    Calculates the cost per token for a given model, prompt tokens, and completion tokens.
+
+    Follows the same logic as Anthropic's cost per token calculation.
+    """
+    return generic_cost_per_token(
+        model=model, usage=usage, custom_llm_provider="deepseek"
+    )