bd8d96335e
Sequential step executor (script, claude_prompt, approval, api_call, template, skyvern placeholder), reaction-based approvals, file upload trigger matching, portal API state sync. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
33 lines
889 B
Python
33 lines
889 B
Python
"""Claude prompt step — call LLM via LiteLLM proxy."""
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import logging
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logger = logging.getLogger(__name__)
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async def execute_claude_prompt(
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config: dict,
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llm=None,
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default_model: str = "claude-haiku",
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escalation_model: str = "claude-sonnet",
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**_kwargs,
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) -> str:
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"""Send a prompt to Claude and return the response."""
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if not llm:
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raise RuntimeError("LLM client not configured")
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prompt = config.get("prompt", "")
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if not prompt:
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raise ValueError("claude_prompt step requires 'prompt' field")
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model_name = config.get("model", "default")
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model = escalation_model if model_name == "escalation" else default_model
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response = await llm.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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max_tokens=4096,
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)
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return response.choices[0].message.content or ""
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