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Skill118 repo starsupdated 1mo ago

dspy-adapters-multimodal

This skill guides developers through selecting and configuring DSPy adapters for different output formats (ChatAdapter for human-readable text, JSONAdapter for structured JSON with native function calling, XMLAdapter for XML-tagged fields) and implementing multimodal inputs using typed primitives like dspy.Image, dspy.Audio, and dspy.File. Use it when building DSPy programs that require structured outputs, native function calling, or need to process images, audio, or file uploads.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/OmidZamani/dspy-skills /tmp/dspy-adapters-multimodal && cp -r /tmp/dspy-adapters-multimodal/skills/dspy-adapters-multimodal ~/.claude/skills/dspy-adapters-multimodal
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# DSPy Adapters and Multimodal I/O

## Goal

Choose an adapter deliberately and model image, audio, and file inputs with DSPy's typed primitives.

## Adapter Selection

| Adapter | Use it for |
|---------|------------|
| `dspy.ChatAdapter()` | Default, human-readable field markers, broad model compatibility |
| `dspy.JSONAdapter()` | Structured JSON output and native function calling where supported |
| `dspy.XMLAdapter()` | XML-tagged fields when XML is easier for the target LM to follow |
| `dspy.TwoStepAdapter()` | A separate extraction pass when parsing needs extra help |

Configure globally or for a limited scope:

```python
import dspy

dspy.configure(
    lm=dspy.LM("openai/gpt-4o-mini"),
    adapter=dspy.JSONAdapter(),
)

with dspy.context(adapter=dspy.XMLAdapter()):
    result = dspy.Predict("question -> answer")(question="What is DSPy?")
```

## Native Function Calling

`JSONAdapter` enables native function calling by default. `ChatAdapter` keeps text parsing by default. Override either behavior explicitly:

```python
chat_native = dspy.ChatAdapter(use_native_function_calling=True)
json_manual = dspy.JSONAdapter(use_native_function_calling=False)
```

DSPy falls back to manual parsing when the configured LM does not support native function calling.

## Image Inputs

```python
class DescribeImage(dspy.Signature):
    image: dspy.Image = dspy.InputField()
    description: str = dspy.OutputField()

describe = dspy.Predict(DescribeImage)
result = describe(image=dspy.Image("./diagram.png"))
```

Pass a local path, HTTP URL, bytes, PIL image, or existing data URI directly to `dspy.Image(...)`.

## Audio and File Inputs

```python
class SummarizeAudio(dspy.Signature):
    audio: dspy.Audio = dspy.InputField()
    summary: str = dspy.OutputField()

audio = dspy.Audio.from_file("./meeting.wav")
summary = dspy.Predict(SummarizeAudio)(audio=audio)
```

```python
class SummarizeFile(dspy.Signature):
    file: dspy.File = dspy.InputField()
    summary: str = dspy.OutputField()

document = dspy.File.from_path("./research.pdf")
summary = dspy.Predict(SummarizeFile)(file=document)
```

Provider capabilities vary. Verify that the selected model accepts the media type before deployment.

## Best Practices

1. Start with `ChatAdapter`; switch only for a measured reason.
2. Use typed signatures for structured output.
3. Test adapter behavior against the exact production model.
4. Avoid deprecated `Image.from_file()` and `Image.from_url()` helpers; call `dspy.Image(...)`.
5. Keep local file handling and uploaded file IDs within provider policy.

## Related Skills

- Design signatures: [dspy-signature-designer](../dspy-signature-designer/SKILL.md)
- Build tool agents: [dspy-react-agent-builder](../dspy-react-agent-builder/SKILL.md)

## Official Documentation

- **Adapters guide**: https://dspy.ai/learn/programming/adapters/
- **Tools guide**: https://dspy.ai/learn/programming/tools/
- **XMLAdapter API**: https://dspy.ai/api/adapters/XMLAdapter/
- **Image API**: https://dspy.ai/api/primitives/Image/
- **Audio API**: https://dspy.ai/api/primitives/Audio/