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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| from enum import Enum | ||
| from pydantic import Field | ||
| from nodetool.nodes.fal.fal_node import FALNode | ||
| from nodetool.workflows.processing_context import ProcessingContext | ||
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| class ModelEnum(str, Enum): | ||
| CLAUDE_3_SONNET = "anthropic/claude-3.5-sonnet" | ||
| CLAUDE_3_HAIKU = "anthropic/claude-3-5-haiku" | ||
| CLAUDE_3_HAIKU_LEGACY = "anthropic/claude-3-haiku" | ||
| GEMINI_PRO = "google/gemini-pro-1.5" | ||
| GEMINI_FLASH = "google/gemini-flash-1.5" | ||
| GEMINI_FLASH_8B = "google/gemini-flash-1.5-8b" | ||
| LLAMA_1B = "meta-llama/llama-3.2-1b-instruct" | ||
| LLAMA_3B = "meta-llama/llama-3.2-3b-instruct" | ||
| LLAMA_8B = "meta-llama/llama-3.1-8b-instruct" | ||
| LLAMA_70B = "meta-llama/llama-3.1-70b-instruct" | ||
| GPT4_MINI = "openai/gpt-4o-mini" | ||
| GPT4 = "openai/gpt-4o" | ||
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| class AnyLLM(FALNode): | ||
| """ | ||
| Use any large language model from a selected catalogue (powered by OpenRouter). | ||
| Supports various models including Claude 3, Gemini, Llama, and GPT-4. | ||
| """ | ||
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| prompt: str = Field( | ||
| default="", description="The prompt to send to the language model" | ||
| ) | ||
| system_prompt: str = Field( | ||
| default="", | ||
| description="Optional system prompt to provide context or instructions", | ||
| ) | ||
| model: ModelEnum = Field( | ||
| default=ModelEnum.GEMINI_FLASH, | ||
| description="The language model to use for the completion", | ||
| ) | ||
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| async def process(self, context: ProcessingContext) -> str: | ||
| """ | ||
| Process the prompt using the selected language model. | ||
| Returns: | ||
| dict: Contains the generated output text and status information | ||
| """ | ||
| arguments = {"prompt": self.prompt, "model": self.model.value} | ||
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| if self.system_prompt: | ||
| arguments["system_prompt"] = self.system_prompt | ||
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| result = await self.submit_request( | ||
| context=context, application="fal-ai/any-llm", arguments=arguments | ||
| ) | ||
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| return result["output"] | ||
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| @classmethod | ||
| def get_basic_fields(cls): | ||
| return ["prompt", "model", "system_prompt"] |