Changelog

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Dedalus API

• Support for Opus 4.5 streaming
• Support for Gemini model generation tool calling functions
• Expanded support for Grok models
• Expanded support for DeepSeek models

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Dedalus Cloud

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Structured Outputs and TypeScript SDK

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dedalus-labs-sdk (Python)

• Structured Outputs: Added support for Pydantic-powered structured outputs. This includes a new chat.completions.parse() method to automatically deserialize the response content into a Pydantic model, ensuring strict adherence to JSON schema with OpenAI models.

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dedalus-labs-sdk (TypeScript)

• TypeScript SDK Launch: The dedalus-labs and dedalus-labs-mcp packages are now available on npm, featuring type-safe JSON responses with Zod schemas.

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Streaming Structured Outputs

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dedalus-labs-sdk (Python)

• Streaming support for structured outputs: Stream partial results while parsing into Pydantic models
• Pydantic stream helper: New stream_helper for incremental structured data
• Response format standardization across all providers

• Python 3.14 support
• Improved Pydantic v1 compatibility for model_dump and model_dump_json signatures
• Dropped Python 3.8 support (minimum version is now 3.9+)

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Structured Outputs for Tools

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dedalus-labs-sdk (Python)

• Structured outputs for tool definitions: Define tool parameters using Pydantic models
• Flexible .parse() input: Accept various input formats for the parse method
• Nullable messages parameter for simpler API calls

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Image Support and Auto-Executing Tools

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dedalus-labs-sdk (Python)

• Image editing and variation support via the images API
• Vision format helper: Simplified image content formatting for multimodal models
• Auto-executing tools: Tools can now be configured to execute automatically based on model responses
• File upload support for multimodal requests

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Runner Improvements

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dedalus-labs-sdk (Python)

• Conversation history access: Access the full conversation history from runner instances
• Instructions parameter: Pass custom system instructions to runners at runtime
• Pydantic v3 forward compatibility

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DedalusModel

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dedalus-labs-sdk (Python)

• DedalusModel type: A unified model identifier that works across all supported providers
• Model parameter extraction: Automatically extracts provider-specific parameters with warnings for unsupported options
• Decoupled Model and DedalusModel types for cleaner API boundaries

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API Standardization

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dedalus-labs-sdk (Python)

• Standardized parameter naming: messages= for completions, input= for runner

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Chat Completions and Schema Generation

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dedalus-labs-sdk (Python)

• Chat completions API: Full support for the chat completions endpoint
• to_schema() method: Generate JSON schemas from Pydantic models for structured outputs
• ModelConfig: Configure model-specific parameters programmatically
• Streaming support with configurable options

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Streaming Schemas

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dedalus-labs-sdk (Python)

• Streaming response schemas: Type-safe streaming with proper schema definitions
• File upload requests: Initial support for multipart file uploads

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SDK Publication

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dedalus-labs-sdk

• Published dedalus-labs package on PyPI
• Published dedalus-labs package on npm
• Published dedalus-labs-mcp package on npm