vllm-tool-parsers
OfficialMaster vLLM tool-parsers for AI workflows.
Authorair-gapped
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The vLLM tool-parsers skill provides a central reference for all built-in and custom tool-parsing strategies, mapping parser implementations, their capabilities, and debugging guidance to help teams integrate tool-calling with vLLM deployments.
Core Features & Use Cases
- Comprehensive parser index and registry mapping for tool-parsing across vLLM projects.
- Diagnostic playbook and troubleshooting guidance for streaming and non-streaming parsers, reasoning-pairing, and template compatibility.
- Clear guidance on building or plugging in custom tool-parsers via plugins with skeletons and examples.
- Up-to-date alignment with the RFC 11522 parse_delta migration and recent PRs, ensuring forward-compatibility.
- Practical use cases across model debugging, plugin development, and integration testing.
Quick Start
Review the index to select a compatible parser, then implement or plug in a new parser following the custom-parser plugin guidelines.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: vllm-tool-parsers Download link: https://github.com/air-gapped/skills/archive/main.zip#vllm-tool-parsers Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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