Formalize Language Model Information Management. #432
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lf.ModelInfo.
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This CL introduces `lf.ModelInfo` as a standardized contract for managing language model information. It encapsulates key LLM capabilities, including context length, multimodal support, pricing, and rate limits. Detailed information about each LLM can be accessed via the `lf.LanguageModel.model_info` property.
Additionally, we introduce two new class methods:
- `lf.LanguageModel.dir()`, which lists all available LLMs in Langfun.
- `lf.LanguageModel.get(name)`, which allows instantiation of any LLM by name.
For example:
```
lm = lf.LanguageModel.get('gemini-1.5-pro', temperature=1.0, timeout=None)
```
or
```
lm = lf.LanguageModel.get('gpt-4o')
```
Besides,we apply a consistent class name conventions to well-known LLMs.
For example: `Gpt35Turbo`, `Claude35Sonnet`, `Gemini15Pro`.
PiperOrigin-RevId: 725890159
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Formalize Language Model Information Management.
This CL introduces
lf.ModelInfoas a standardized contract for managing language model information. It encapsulates key LLM capabilities, including context length, multimodal support, pricing, and rate limits. Detailed information about each LLM can be accessed via thelf.LanguageModel.model_infoproperty.Additionally, we introduce two new class methods:
lf.LanguageModel.dir(), which lists all available LLMs in Langfun.lf.LanguageModel.get(name), which allows instantiation of any LLM by name.For example:
or
Besides,we apply a consistent class name conventions to well-known LLMs.
For example:
Gpt35Turbo,Claude35Sonnet,Gemini15Pro.