enable thinking in anthropic CUA (#2240)
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@@ -1416,6 +1416,8 @@ class ForgeAgent:
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"display_width_px": settings.BROWSER_WIDTH,
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}
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]
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thinking = {"type": "enabled", "budget_tokens": 1024}
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betas = ["computer-use-2025-01-24"]
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if not llm_caller.message_history:
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llm_response = await llm_caller.call(
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prompt=task.navigation_goal,
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@@ -1423,7 +1425,8 @@ class ForgeAgent:
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use_message_history=True,
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tools=tools,
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raw_response=True,
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betas=["computer-use-2025-01-24"],
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betas=betas,
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thinking=thinking,
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)
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else:
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llm_response = await llm_caller.call(
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@@ -1431,7 +1434,8 @@ class ForgeAgent:
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use_message_history=True,
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tools=tools,
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raw_response=True,
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betas=["computer-use-2025-01-24"],
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betas=betas,
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thinking=thinking,
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)
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assistant_content = llm_response["content"]
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llm_caller.message_history.append({"role": "assistant", "content": assistant_content})
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@@ -693,6 +693,7 @@ class LLMCaller:
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max_tokens = active_parameters.get("max_completion_tokens") or active_parameters.get("max_tokens") or 4096
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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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response = await app.ANTHROPIC_CLIENT.beta.messages.create(
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max_tokens=max_tokens,
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@@ -701,6 +702,7 @@ class LLMCaller:
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tools=tools or NOT_GIVEN,
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timeout=timeout,
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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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return response
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