feat: add alibaba coding plan as provider (#32)
* add alibaba coding plan as provider * add alibaba coding plan as provider
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@@ -11,8 +11,8 @@ This repository is the **single source of truth** for all installable content de
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| [Hands](#hands) | 14 | User-facing "apps" — agent + tools + settings + dashboard |
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| [Agents](#agents) | 32 | Autonomous agent definitions with model config and tools |
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| [Integrations](#integrations) | 25 | MCP server connections (GitHub, Slack, DBs, etc.) |
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| [Providers](#providers) | 48 | LLM provider & model metadata with pricing |
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| [Models](#providers) | 223 | Individual model definitions across all providers |
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| [Providers](#providers) | 49 | LLM provider & model metadata with pricing |
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| [Models](#providers) | 339 | Individual model definitions across all providers |
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| [Aliases](#aliases) | 70 | Short names mapped to canonical model IDs |
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| [Plugins](#plugins) | 10 | Memory, guardrails, and conversation plugins |
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| [Skills](#skills) | 2 | Reusable prompt templates and Python scripts |
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@@ -44,7 +44,7 @@ librefang-registry/
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├── providers/ # LLM provider & model metadata
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│ ├── anthropic.toml
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│ ├── openai.toml
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│ └── ... (48 providers, 223 models)
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│ └── ... (49 providers, 339 models)
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├── plugins/ # Memory, guardrails, and utility plugins
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│ ├── episodic-memory/
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│ ├── guardrails/
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@@ -195,9 +195,9 @@ is_secret = true
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Provider files define LLM providers and their models with pricing, context windows, and capability flags. See [schema.toml](schema.toml) for the full field reference.
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**48 providers** including: Anthropic, OpenAI, Google Gemini, DeepSeek, Groq, Mistral, Cohere, xAI, Together, Fireworks, Ollama (local), LM Studio (local), vLLM (self-hosted), and many more.
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**49 providers** including: Anthropic, OpenAI, Google Gemini, DeepSeek, Groq, Mistral, Cohere, xAI, Together, Fireworks, Ollama (local), LM Studio (local), vLLM (self-hosted), Alibaba Coding Plan, and many more.
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**223 models** with metadata for each: pricing (input/output per token), context window size, capability flags (vision, function calling, streaming), and tier classification.
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**339 models** with metadata for each: pricing (input/output per token), context window size, capability flags (vision, function calling, streaming), and tier classification.
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### Aliases
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