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docs(llms): sweep retired model as qodo found
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@@ -157,7 +157,7 @@ Install with `pip install "semantica[llm-anthropic]"` (or just `pip install anth
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```python
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from semantica.llms import Anthropic
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claude = Anthropic(model="claude-sonnet-5", api_key="YOUR_ANTHROPIC_KEY")
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claude = Anthropic(model="claude-sonnet-4-6", api_key="YOUR_ANTHROPIC_KEY")
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# api_key falls back to the ANTHROPIC_API_KEY environment variable
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# is_available() only confirms a client was constructed from some key.
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@@ -35,7 +35,7 @@ Example Usage:
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>>> llm = LiteLLM(model="openai/gpt-4o", api_key="your-key")
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>>> response = llm.generate("Hello, world!")
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>>> # Or use other providers via LiteLLM
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>>> llm = LiteLLM(model="anthropic/claude-sonnet-4-20250514")
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>>> llm = LiteLLM(model="anthropic/claude-sonnet-5")
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>>> response = llm.generate("Hello, world!")
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>>>
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>>> # Anthropic provider
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@@ -31,7 +31,7 @@ class LiteLLM:
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Provides unified interface to 100+ LLM providers through LiteLLM library.
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Supports providers like OpenAI, Anthropic, Groq, Azure, Bedrock, Vertex AI, etc.
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Model format: "provider/model-name" (e.g., "openai/gpt-4o", "anthropic/claude-sonnet-4-20250514", "groq/llama-3.1-8b-instant")
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Model format: "provider/model-name" (e.g., "openai/gpt-4o", "anthropic/claude-sonnet-5", "groq/llama-3.1-8b-instant")
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Example:
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>>> from semantica.llms import LiteLLM
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@@ -39,7 +39,7 @@ class LiteLLM:
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>>> response = llm.generate("What is AI?")
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>>>
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>>> # Use with different providers
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>>> llm = LiteLLM(model="anthropic/claude-sonnet-4-20250514")
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>>> llm = LiteLLM(model="anthropic/claude-sonnet-5")
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>>> response = llm.generate("Hello!")
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"""
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@@ -54,7 +54,7 @@ class LiteLLM:
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Args:
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model: Model identifier in format "provider/model-name"
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Examples: "openai/gpt-4o", "anthropic/claude-sonnet-4-20250514",
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Examples: "openai/gpt-4o", "anthropic/claude-sonnet-5",
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"groq/llama-3.1-8b-instant", "azure/gpt-4", etc.
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api_key: API key (optional, can use environment variables)
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**kwargs: Additional LiteLLM options (temperature, max_tokens, etc.)
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