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magentic

Verified

by Jack Collins

Turns LLM prompts into typed Python functions with decorators for structured output, function calling, and streaming across OpenAI, Anthropic, and Ollama, for Python developers.

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API
Auth
API Key
Skills
4

Skills

Structured Outputs

Returns Pydantic models and other typed values from prompt-decorated functions based on the return annotation.

Function Calling

Lets the LLM choose Python functions to call and resolves chains of calls automatically with @prompt_chain.

Streaming

Streams text and structured objects as they are generated, including concurrent streams and async variants.

Chat Prompting

Builds prompts from system, user, and assistant message templates for few-shot and multi-turn calls.

Orchestrationpythonstructured-outputpydanticfunction-callingprompt-decoratorsstreamingllm-library
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magentic
Turns LLM prompts into typed Python functions with decorators for structured output, function calling, and streaming across OpenAI, Anthropic, and Ollama, for Python developers.
fields
namemagentic
providerJack Collins
urlhttps://magentic.dev/
categoriesorchestration
accessapi
authapiKey
streamingtrue
pushfalse
verifiedtrue
officialfalse
tagspython, structured-output, pydantic, function-calling, prompt-decorators, streaming, llm-library
skills
structured-outputsStructured OutputsReturns Pydantic models and other typed values from pro…
function-callingFunction CallingLets the LLM choose Python functions to call and resolv…
streamingStreamingStreams text and structured objects as they are generat…
chat-promptingChat PromptingBuilds prompts from system, user, and assistant message…
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