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#LLM工具

14 related articles

llm-echo 0.5a0: A Testing Powerhouse for Simulating Chain-of-Thought LLM Output
Tech Frontiers
·2 min

llm-echo 0.5a0: A Testing Powerhouse for Simulating Chain-of-Thought LLM Output

Simon Willison releases llm-echo 0.5a0 with a new thinking option to simulate LLM chain-of-thought output. Learn how this testing plugin streamlines AI development workflow automation.

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LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Streaming Multi-Type Response Design
Tech Frontiers
·2 min

LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Streaming Multi-Type Response Design

Deep dive into LLM 0.32 alpha's two core refactorings: message sequence API aligned with OpenAI format, stream_events for typed streaming responses, serialization design, and backward compatibility.

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LLM 0.32 Refactor: How Message Sequences and Streaming Chunks Are Reshaping Python LLM Interactions
Deep Dives
·3 min

LLM 0.32 Refactor: How Message Sequences and Streaming Chunks Are Reshaping Python LLM Interactions

Simon Willison releases LLM 0.32a0 alpha with message sequences and typed streaming chunks, redefining how Python developers interact with LLMs while maintaining full backward compatibility.

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LLM 0.32a1 Released: Critical Bug Fix for Tool-Calling Conversation Recovery
Tech Frontiers
·1 min

LLM 0.32a1 Released: Critical Bug Fix for Tool-Calling Conversation Recovery

Simon Willison releases LLM CLI tool v0.32a1, fixing a critical bug where tool-calling conversations couldn't be properly restored from SQLite database.

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LLM Tool Releases 0.32a0 Preview: Simon Willison's Command-Line AI Assistant Update
Tech Frontiers
·1 min

LLM Tool Releases 0.32a0 Preview: Simon Willison's Command-Line AI Assistant Update

Simon Willison releases LLM 0.32a0 alpha preview, updating his popular open-source command-line tool for interacting with large language models from the terminal.

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LLM 0.32a0 Released: Message Sequences and Typed Streaming Refactor Explained
Tech Frontiers
·2 min

LLM 0.32a0 Released: Message Sequences and Typed Streaming Refactor Explained

Simon Willison releases LLM 0.32a0 alpha with message sequence modeling and typed streaming parts, supporting multimodal output and conversation history injection while maintaining backward compatibility.

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LLM 0.32a0 Major Refactor: A Deep Dive into Message Sequences and Typed Streaming Responses
Tech Frontiers
·2 min

LLM 0.32a0 Major Refactor: A Deep Dive into Message Sequences and Typed Streaming Responses

Simon Willison releases LLM Python library 0.32a0 alpha with message sequence prompts and typed streaming responses, redesigning model interaction abstractions for multimodal output, tool calls, and modern LLM features.

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LLM 0.32 Refactoring Explained: How Message Sequences and Streaming Chunks Are Reshaping This Python LLM Library
Tech Frontiers
·3 min

LLM 0.32 Refactoring Explained: How Message Sequences and Streaming Chunks Are Reshaping This Python LLM Library

Simon Willison releases LLM library 0.32 alpha with message sequences and typed streaming chunks, replacing the old text-in-text-out model to fully support multi-turn dialogue, multimodal output, and tool calling.

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LLM 0.32 Refactoring Deep Dive: Message Sequences and Multimodal Streaming Event Design
Deep Dives
·2 min

LLM 0.32 Refactoring Deep Dive: Message Sequences and Multimodal Streaming Event Design

Deep dive into LLM 0.32a0 alpha: a major refactoring from text conversations to message sequences and typed streaming events, supporting multimodal output, tool calls, and flexible serialization.

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LLM 0.32 Refactoring Explained: Message Sequence API and Typed Streaming Responses
Tech Frontiers
·3 min

LLM 0.32 Refactoring Explained: Message Sequence API and Typed Streaming Responses

Deep dive into Simon Willison's LLM Python library 0.32 refactoring: new message sequence API, typed streaming responses, and universal serialization for multimodal AI and tool calling.

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LLM 0.32 Major Refactor: Message Sequences and Streaming Multi-Type Responses Explained
Deep Dives
·3 min

LLM 0.32 Major Refactor: Message Sequences and Streaming Multi-Type Responses Explained

Simon Willison releases LLM 0.32a0 alpha with message sequences API and streaming multi-type parts, redesigning how the Python LLM library handles model interactions for complex inputs and outputs.

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LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Typed Streaming Response Design
Deep Dives
·3 min

LLM 0.32 Refactoring Deep Dive: Message Sequence Input and Typed Streaming Response Design

Deep dive into Simon Willison's LLM 0.32a0 refactoring: message sequence inputs, typed streaming events, SQLite-decoupled serialization, and backward-compatible API evolution strategies.

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