refactor: replace litellm with native openai + anthropic SDKs
- Remove litellm dependency entirely (supply chain risk mitigation) - Add AnthropicProvider (native SDK) and OpenAICompatProvider (unified) - Merge CustomProvider into OpenAICompatProvider, delete custom_provider.py - Add ProviderSpec.backend field for declarative provider routing - Remove _resolve_model, find_gateway, find_by_model (dead heuristics) - Pass resolved spec directly into provider — zero internal lookups - Stub out litellm-dependent model database (cli/models.py) - Add anthropic>=0.45.0 to dependencies, remove litellm - 593 tests passed, net -1034 lines
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@@ -842,7 +842,7 @@ Config file: `~/.nanobot/config.json`
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| Provider | Purpose | Get API Key |
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|----------|---------|-------------|
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| `custom` | Any OpenAI-compatible endpoint (direct, no LiteLLM) | — |
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| `custom` | Any OpenAI-compatible endpoint | — |
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| `openrouter` | LLM (recommended, access to all models) | [openrouter.ai](https://openrouter.ai) |
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| `volcengine` | LLM (VolcEngine, pay-per-use) | [Coding Plan](https://www.volcengine.com/activity/codingplan?utm_campaign=nanobot&utm_content=nanobot&utm_medium=devrel&utm_source=OWO&utm_term=nanobot) · [volcengine.com](https://www.volcengine.com) |
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| `byteplus` | LLM (VolcEngine international, pay-per-use) | [Coding Plan](https://www.byteplus.com/en/activity/codingplan?utm_campaign=nanobot&utm_content=nanobot&utm_medium=devrel&utm_source=OWO&utm_term=nanobot) · [byteplus.com](https://www.byteplus.com) |
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@@ -943,7 +943,7 @@ nanobot agent -c ~/.nanobot-telegram/config.json -w /tmp/nanobot-telegram-test -
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<details>
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<summary><b>Custom Provider (Any OpenAI-compatible API)</b></summary>
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Connects directly to any OpenAI-compatible endpoint — LM Studio, llama.cpp, Together AI, Fireworks, Azure OpenAI, or any self-hosted server. Bypasses LiteLLM; model name is passed as-is.
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Connects directly to any OpenAI-compatible endpoint — LM Studio, llama.cpp, Together AI, Fireworks, Azure OpenAI, or any self-hosted server. Model name is passed as-is.
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```json
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{
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@@ -1120,10 +1120,9 @@ Adding a new provider only takes **2 steps** — no if-elif chains to touch.
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ProviderSpec(
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name="myprovider", # config field name
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keywords=("myprovider", "mymodel"), # model-name keywords for auto-matching
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env_key="MYPROVIDER_API_KEY", # env var for LiteLLM
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env_key="MYPROVIDER_API_KEY", # env var name
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display_name="My Provider", # shown in `nanobot status`
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litellm_prefix="myprovider", # auto-prefix: model → myprovider/model
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skip_prefixes=("myprovider/",), # don't double-prefix
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default_api_base="https://api.myprovider.com/v1", # OpenAI-compatible endpoint
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)
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```
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@@ -1135,20 +1134,19 @@ class ProvidersConfig(BaseModel):
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myprovider: ProviderConfig = ProviderConfig()
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```
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That's it! Environment variables, model prefixing, config matching, and `nanobot status` display will all work automatically.
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That's it! Environment variables, model routing, config matching, and `nanobot status` display will all work automatically.
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**Common `ProviderSpec` options:**
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| Field | Description | Example |
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|-------|-------------|---------|
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| `litellm_prefix` | Auto-prefix model names for LiteLLM | `"dashscope"` → `dashscope/qwen-max` |
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| `skip_prefixes` | Don't prefix if model already starts with these | `("dashscope/", "openrouter/")` |
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| `default_api_base` | OpenAI-compatible base URL | `"https://api.deepseek.com"` |
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| `env_extras` | Additional env vars to set | `(("ZHIPUAI_API_KEY", "{api_key}"),)` |
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| `model_overrides` | Per-model parameter overrides | `(("kimi-k2.5", {"temperature": 1.0}),)` |
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| `is_gateway` | Can route any model (like OpenRouter) | `True` |
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| `detect_by_key_prefix` | Detect gateway by API key prefix | `"sk-or-"` |
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| `detect_by_base_keyword` | Detect gateway by API base URL | `"openrouter"` |
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| `strip_model_prefix` | Strip existing prefix before re-prefixing | `True` (for AiHubMix) |
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| `strip_model_prefix` | Strip provider prefix before sending to gateway | `True` (for AiHubMix) |
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</details>
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