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dspy-adapters

Use when you need to customize how DSPy formats prompts for a specific provider — switching from chat to completion format, forcing JSON output, or debugging prompt rendering issues. Common scenarios - debugging why your prompt looks wrong when sent to the model, switching from OpenAI to Anthropic and the formatting breaks, forcing the model to return valid JSON instead of markdown, working with c

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Atualizado há 4 meses

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Como adicionar

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Ler descrição completa

Control Prompt Formatting with DSPy Adapters

Adapters sit between your DSPy modules and the language model. They control how signatures get turned into prompts and how LM responses get parsed back into typed Python objects. Most of the time the default adapter just works -- but when you need tighter control over structured output, or you are working with reasoning models that struggle with formatting, adapters give you that control.

What adapters do

Every time a DSPy module calls an LM,

[Description truncada. Veja o README completo no GitHub.]

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