v0.5.4

MMSP 0.5.4 gives every client one environment-key rule and exports it for hosts as @prismshadow/mmsp/credentials and mmsp.credentials (#258). It also adds GPT-6 Luna (#257).

Highlights

• One environment-key rule: a key passed in is always used. Without one, a client reads its <P>_API_KEY only when given no base URL, or when given its own default endpoint, such as https://api.deepseek.com for deepseek-official. Any other base URL passed without a key raises ApiKeyRequiredError before any request. The message names both fixes: pass the key, or drop the base URL and set <P>_API_KEY, plus <P>_BASE_URL for an endpoint other than the default. The mmsp client still calls an open server keyless.
• credentials module: CLIENT_CREDENTIALS, environmentCredential(clientType, baseUrl) and routedClientType(model, clientType) tell a host what a client will do without building one. The TypeScript subpath imports nothing and fits a browser bundle. The clients and AutoLLMClient resolve through the same table.
• GPT-6 Luna: gpt-6-luna on OpenAI and openai/gpt-6-luna on OpenRouter, with ThinkingLevel.NONE kept as reasoning.effort: "none".
• CI: model tests run for the clients a change affects, and publication waits for the full Python and TypeScript suites (#255). The README lists Vertex AI support for Gemini 4 Argon (#256).

Breaking

deepseek-official, zai-official, moonshot-official, minimax-official and google-official no longer send their environment key to a base_url other than their default endpoint. Pass api_key with such a URL, or drop base_url and set <P>_BASE_URL beside <P>_API_KEY. Code that matched the old refusal text should catch ApiKeyRequiredError.

Install

pip install mmsp==0.5.4
npm install @prismshadow/mmsp@0.5.4

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