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fix(anthropic.py): fix translation from /v1/messages format to openai format
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4 changed files with 105 additions and 7 deletions
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@ -287,6 +287,9 @@ class AnthropicConfig:
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if user_message is not None:
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new_messages.append(user_message)
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if len(new_user_content_list) > 0:
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new_messages.append({"role": "user", "content": new_user_content_list})
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if len(tool_message_list) > 0:
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new_messages.extend(tool_message_list)
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@ -1,11 +1,7 @@
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model_list:
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- model_name: "gpt-4"
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- model_name: "claude-3-5-sonnet-20240620"
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litellm_params:
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model: "gpt-4"
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api_key: "bad_key"
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- model_name: "gpt-4o"
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litellm_params:
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model: "gpt-4o"
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model: "claude-3-5-sonnet-20240620"
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litellm_settings:
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max_internal_user_budget: 0.001
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@ -5373,7 +5373,13 @@ async def anthropic_response(
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litellm.adapters = [{"id": "anthropic", "adapter": anthropic_adapter}]
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global user_temperature, user_request_timeout, user_max_tokens, user_api_base
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data: dict = {**anthropic_data, "adapter_id": "anthropic"}
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body = await request.body()
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body_str = body.decode()
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try:
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request_data: dict = ast.literal_eval(body_str)
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except Exception:
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request_data = json.loads(body_str)
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data: dict = {**request_data, "adapter_id": "anthropic"}
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try:
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data["model"] = (
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general_settings.get("completion_model", None) # server default
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@ -183,3 +183,96 @@ async def test_anthropic_router_completion_e2e():
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assert isinstance(response, AnthropicResponse)
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assert response.model == "gpt-3.5-turbo"
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def test_anthropic_tool_calling_translation():
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kwargs = {
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"model": "claude-3-5-sonnet-20240620",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Would development of a software platform be under ASC 350-40 or ASC 985?",
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}
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],
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},
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{
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"role": "assistant",
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"content": [
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{
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"type": "tool_use",
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"id": "37d6f703-cbcc-497d-95a1-2aa24a114adc",
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"name": "TaskPlanningTool",
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"input": {
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"completed_steps": [],
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"next_steps": [
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{
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"tool_name": "AccountingResearchTool",
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"description": "Research ASC 350-40 to understand its scope and applicability to software development.",
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},
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{
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"tool_name": "AccountingResearchTool",
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"description": "Research ASC 985 to understand its scope and applicability to software development.",
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},
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{
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"tool_name": "AccountingResearchTool",
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"description": "Compare the scopes of ASC 350-40 and ASC 985 to determine which is more applicable to software platform development.",
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},
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],
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"learnings": [],
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"potential_issues": [
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"The distinction between the two standards might not be clear-cut for all types of software development.",
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"There might be specific circumstances or details about the software platform that could affect which standard applies.",
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],
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"missing_info": [
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"Specific details about the type of software platform being developed (e.g., for internal use or for sale).",
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"Whether the entity developing the software is also the end-user or if it's being developed for external customers.",
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],
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"done": False,
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"required_formatting": None,
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},
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}
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],
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},
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{
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"role": "user",
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"content": [
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{
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"type": "tool_result",
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"tool_use_id": "eb7023b1-5ee8-43b8-b90f-ac5a23d37c31",
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"content": {
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"completed_steps": [],
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"next_steps": [
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{
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"tool_name": "AccountingResearchTool",
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"description": "Research ASC 350-40 to understand its scope and applicability to software development.",
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},
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{
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"tool_name": "AccountingResearchTool",
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"description": "Research ASC 985 to understand its scope and applicability to software development.",
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},
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{
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"tool_name": "AccountingResearchTool",
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"description": "Compare the scopes of ASC 350-40 and ASC 985 to determine which is more applicable to software platform development.",
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},
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],
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"formatting_step": None,
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},
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}
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],
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},
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],
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}
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from litellm.adapters.anthropic_adapter import anthropic_adapter
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translated_params = anthropic_adapter.translate_completion_input_params(
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kwargs=kwargs
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)
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print(translated_params["messages"])
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assert len(translated_params["messages"]) > 0
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assert translated_params["messages"][1]["role"] == "user"
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