rust-tracing
01Skill Claude CodeCodex
Add or change Rust diagnostic tracing in litellm-rust, including route spans, subscriber layers, and Python logger delivery.
Skill Claude CodeCodex
Add or change Rust diagnostic tracing in litellm-rust, including route spans, subscriber layers, and Python logger delivery.
Skill Claude CodeCodex
Define or refactor Rust string-valued enums and their Serde adapters in litellm-rust, using Strum and serdewith while preserving parsing, wire values, and schemas.
Skill Claude CodeCodex
Read or write dashboard URL query state (tabs, filters, pagination, deep links, demo flags) with nuqs instead of raw history or URLSearchParams.
Skill Claude Code
Create a new AI agent on a live LiteLLM proxy. Asks for agent name, the underlying model, and optional MCP server access, then calls POST /v1/agents.
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Generate a new API key on a live LiteLLM proxy. Asks for alias, scope (user/team), budget, models, and expiry, then calls POST /key/generate. Use when the user wants to create, generate, or provision an API key on a LiteLLM proxy instance.
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Register a new MCP server on a live LiteLLM proxy. Asks for the server name, transport type, URL, and optional auth, then calls POST /v1/mcp/server.
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Add a new model to a live LiteLLM proxy. Walks the user through picking a provider, entering the deployment name and credentials, calls POST /model/new, then test-calls the model to confirm it routes correctly. Use when the user wants to add, register, deploy, or configure a new model on a LiteLLM proxy instance.
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Create a new organization on a live LiteLLM proxy. Asks for org name, budget, and allowed models, then calls POST /organization/new.
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Create a new team on a live LiteLLM proxy. Asks for team name, budget, and allowed models, then calls POST /team/new and shows the result. Use when the user wants to create a new team, set up team budgets, or configure model access for a team on the proxy.
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Create a new user on a live LiteLLM proxy. Asks for email, role, and optional budget/model limits, then calls POST /user/new and shows the result.
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Delete an AI agent from a live LiteLLM proxy. Ask for the agentid and confirm before calling DELETE /v1/agents/{agentid}.
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Delete one or more API keys from a live LiteLLM proxy. Ask for the key(s) and confirm before calling POST /key/delete.
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Delete an MCP server from a live LiteLLM proxy. Ask for the serverid and confirm before calling DELETE /v1/mcp/server/{serverid}.
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Delete a model from a live LiteLLM proxy. Asks for the model name or modelid and confirms before calling POST /model/delete. Use when the user wants to remove, delete, or unregister a model from a LiteLLM proxy instance.
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Delete one or more organizations from a live LiteLLM proxy. Ask for the organizationid(s) and confirm before calling DELETE /organization/delete.
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Delete one or more teams from a live LiteLLM proxy. Ask for the teamid(s) and confirm before calling POST /team/delete.
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Delete one or more users from a live LiteLLM proxy. Ask for the userid(s) and confirm before calling POST /user/delete.
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Update an existing AI agent on a live LiteLLM proxy. Ask for the agentid and what to change (model, description, MCP servers), then call PATCH /v1/agents/{agentid}.
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Update an existing API key on a live LiteLLM proxy. Ask for the key and what to change (budget, models, expiry), then call POST /key/update.
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Update an existing MCP server on a live LiteLLM proxy. Ask for the serverid and what to change (URL, auth, description), then call PUT /v1/mcp/server.
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Update an existing model on a live LiteLLM proxy. Ask for the modelid and what to change (API key, base URL, etc.), then call POST /model/update.
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Update an existing team on a live LiteLLM proxy. Ask for the teamid and what to change (budget, models, limits), then call POST /team/update.
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Update an existing user on a live LiteLLM proxy. Ask for the userid and what to change (budget, role, models, etc.), then call POST /user/update.
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Query spend and token activity on a live LiteLLM proxy. Shows daily usage broken down by user, team, org, tag, job, or model. Use when the user wants to see costs, token counts, request volume, or job-level attribution for a given date range.
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