fix tool_call_input parsing with anthropic sdk (#2242)
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@@ -642,7 +642,7 @@ class LLMCaller:
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organization_id=step.organization_id if step else (thought.organization_id if thought else None),
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)
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if raw_response:
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return response.model_dump()
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return response.model_dump(exclude_none=True)
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parsed_response = parse_api_response(response, self.llm_config.add_assistant_prefix)
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await app.ARTIFACT_MANAGER.create_llm_artifact(
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@@ -694,7 +694,13 @@ class LLMCaller:
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model_name = self.llm_config.model_name.replace("bedrock/", "").replace("anthropic/", "")
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betas = active_parameters.get("betas", NOT_GIVEN)
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thinking = active_parameters.get("thinking", NOT_GIVEN)
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LOG.info("Anthropic request", betas=betas, tools=tools, timeout=timeout)
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LOG.info(
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"Anthropic request",
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model_name=model_name,
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betas=betas,
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tools=tools,
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timeout=timeout,
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)
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response = await app.ANTHROPIC_CLIENT.beta.messages.create(
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max_tokens=max_tokens,
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messages=messages,
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@@ -704,7 +710,14 @@ class LLMCaller:
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betas=betas,
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thinking=thinking,
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)
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LOG.info("Anthropic response", response=response, betas=betas, tools=tools, timeout=timeout)
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LOG.info(
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"Anthropic response",
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model_name=model_name,
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response=response,
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betas=betas,
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tools=tools,
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timeout=timeout,
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)
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return response
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@@ -1,4 +1,3 @@
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import json
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from typing import Any, Dict
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import structlog
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@@ -456,19 +455,20 @@ async def parse_anthropic_actions(
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step: Step,
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assistant_content: list[dict[str, Any]],
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) -> list[Action]:
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tool_calls = [block for block in assistant_content if block["type"] == "tool_use"]
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tool_calls = [block for block in assistant_content if block["type"] == "tool_use" and block["name"] == "computer"]
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idx = 0
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actions: list[Action] = []
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LOG.info("Anthropic tool calls", tool_calls=tool_calls, assistant_content=assistant_content)
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while idx < len(tool_calls):
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tool_call = tool_calls[idx]
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tool_call_id = tool_call["id"]
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parsed_args = _parse_anthropic_computer_args(tool_call)
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if not parsed_args:
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tool_call_input = tool_call.get("input")
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if not tool_call_input:
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idx += 1
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continue
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action = parsed_args["action"]
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action = tool_call_input["action"]
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if action == "mouse_move":
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x, y = parsed_args["coordinate"]
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x, y = tool_call_input["coordinate"]
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actions.append(
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MoveAction(
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x=x,
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@@ -483,15 +483,12 @@ async def parse_anthropic_actions(
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)
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)
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elif action == "left_click":
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if idx - 1 >= 0:
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coordinate = tool_call_input.get("coordinate")
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if not coordinate and idx - 1 >= 0:
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prev_tool_call = tool_calls[idx - 1]
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prev_parsed_args = _parse_anthropic_computer_args(prev_tool_call)
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if prev_parsed_args and prev_parsed_args["action"] == "mouse_move":
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coordinate = prev_parsed_args["coordinate"]
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else:
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coordinate = parsed_args.get("coordinate")
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else:
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coordinate = parsed_args.get("coordinate")
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prev_tool_call_input = prev_tool_call.get("input")
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if prev_tool_call_input and prev_tool_call_input["action"] == "mouse_move":
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coordinate = prev_tool_call_input.get("coordinate")
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if not coordinate:
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LOG.warning(
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@@ -517,10 +514,10 @@ async def parse_anthropic_actions(
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)
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)
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elif action == "type":
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text = parsed_args.get("text")
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text = tool_call_input.get("text")
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if not text:
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LOG.warning(
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"Type action has no text",
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"Anthropic type action has no text",
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tool_call=tool_call,
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)
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idx += 1
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@@ -539,7 +536,7 @@ async def parse_anthropic_actions(
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)
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)
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elif action == "key":
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text = parsed_args.get("text")
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text = tool_call_input.get("text")
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if not text:
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LOG.warning(
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"Key action has no text",
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@@ -579,14 +576,3 @@ async def parse_anthropic_actions(
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)
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idx += 1
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return actions
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def _parse_anthropic_computer_args(tool_call: dict[str, Any]) -> dict[str, Any] | None:
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tool_call_type = tool_call["type"]
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if tool_call_type != "function":
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return None
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tool_call_name = tool_call["function"]["name"]
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if tool_call_name != "computer":
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return None
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tool_call_arguments = tool_call["function"]["arguments"]
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return json.loads(tool_call_arguments)
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