jackmpcollins/magentic
magentic
Seamlessly integrate LLMs as Python functions
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jackmpcollins
jackmpcollins • individual
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Created
Jun 18, 2023
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README Summary
Seamlessly integrate Large Language Models into Python code. Use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from an LLM. Combine LLM queries and tool use with traditional Python code to build complex agentic systems.
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API OrchestrationFunction Calling with LLMsLarge Language Model IntegrationMulti-provider LLM ManagementPython Decorators and MetaprogrammingType Hint Systems
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API OrchestrationFunction Calling with LLMsLarge Language Model IntegrationMulti-provider LLM ManagementPython Decorators and MetaprogrammingType Hint SystemsAI AgentsAnthropic / ClaudeAzure AIClaudeCLI ToolData ScienceForkedGPTJupyterLarge Language ModelsLiteLLMLlamaMistralOllamaOpenAIOpenTelemetryPandasPydanticPythonReal-Time / StreamingStructured OutputTool Use
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beta- Quality
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Categories
Inference & ServingPrimaryDev Tools & AutomationData Science & AnalyticsFoundation ModelsAI AgentsOther AI / ML
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AI-Native ArchitectureCost & EfficiencyData & EvaluationDeveloper PlatformScale & Reliability
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Python100.0%
Timeline
- Project created
- Jun 18, 2023
- Forked
- Mar 29, 2026
- Your last push
- 2 months ago
- Upstream last push
- 2 months ago
- Tracked since
- Mar 11, 2026
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