feat: add z.ai/GLM, Kimi/Moonshot, MiniMax as first-class providers
Adds 4 new direct API-key providers (zai, kimi-coding, minimax, minimax-cn) to the inference provider system. All use standard OpenAI-compatible chat/completions endpoints with Bearer token auth. Core changes: - auth.py: Extended ProviderConfig with api_key_env_vars and base_url_env_var fields. Added providers to PROVIDER_REGISTRY. Added provider aliases (glm, z-ai, zhipu, kimi, moonshot). Added auto-detection of API-key providers in resolve_provider(). Added resolve_api_key_provider_credentials() and get_api_key_provider_status() helpers. - runtime_provider.py: Added generic API-key provider branch in resolve_runtime_provider() — any provider with auth_type='api_key' is automatically handled. - main.py: Added providers to hermes model menu with generic _model_flow_api_key_provider() flow. Updated _has_any_provider_configured() to check all provider env vars. Updated argparse --provider choices. - setup.py: Added providers to setup wizard with API key prompts and curated model lists. - config.py: Added env vars (GLM_API_KEY, KIMI_API_KEY, MINIMAX_API_KEY, etc.) to OPTIONAL_ENV_VARS. - status.py: Added API key display and provider status section. - doctor.py: Added connectivity checks for each provider endpoint. - cli.py: Updated provider docstrings. Docs: Updated README.md, .env.example, cli-config.yaml.example, cli-commands.md, environment-variables.md, configuration.md. Tests: 50 new tests covering registry, aliases, resolution, auto-detection, credential resolution, and runtime provider dispatch. Inspired by PR #33 (numman-ali) which proposed a provider registry approach. Credit to tars90percent (PR #473) and manuelschipper (PR #420) for related provider improvements merged earlier in this changeset.
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@@ -13,6 +13,10 @@ model:
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# "auto" - Use Nous Portal if logged in, otherwise OpenRouter/env vars (default)
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# "openrouter" - Always use OpenRouter API key from OPENROUTER_API_KEY
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# "nous" - Always use Nous Portal (requires: hermes login)
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# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
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# "kimi-coding"- Use Kimi / Moonshot AI models (requires: KIMI_API_KEY)
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# "minimax" - Use MiniMax global endpoint (requires: MINIMAX_API_KEY)
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# "minimax-cn" - Use MiniMax China endpoint (requires: MINIMAX_CN_API_KEY)
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# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
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provider: "auto"
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