mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
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bf66b095c7
- Create ccw-litellm Python package with AbstractEmbedder and AbstractLLMClient interfaces - Add BaseEmbedder abstraction and factory pattern to codex-lens for pluggable backends - Implement API Settings dashboard page for provider credentials and custom endpoints - Add REST API routes for CRUD operations on providers and endpoints - Extend CLI with --model parameter for custom endpoint routing - Integrate existing context-cache for @pattern file resolution - Add provider model registry with predefined models per provider type - Include i18n translations (en/zh) for all new UI elements 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
54 lines
1015 B
Plaintext
54 lines
1015 B
Plaintext
# LiteLLM Unified Configuration
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# Copy to ~/.ccw/config/litellm-config.yaml
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version: 1
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# Default provider for LLM calls
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default_provider: openai
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# Provider configurations
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providers:
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openai:
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api_key: ${OPENAI_API_KEY}
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api_base: https://api.openai.com/v1
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anthropic:
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api_key: ${ANTHROPIC_API_KEY}
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ollama:
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api_base: http://localhost:11434
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azure:
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api_key: ${AZURE_API_KEY}
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api_base: ${AZURE_API_BASE}
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# LLM model configurations
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llm_models:
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default:
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provider: openai
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model: gpt-4o
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fast:
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provider: openai
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model: gpt-4o-mini
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claude:
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provider: anthropic
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model: claude-sonnet-4-20250514
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local:
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provider: ollama
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model: llama3.2
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# Embedding model configurations
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embedding_models:
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default:
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provider: openai
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model: text-embedding-3-small
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dimensions: 1536
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large:
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provider: openai
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model: text-embedding-3-large
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dimensions: 3072
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ada:
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provider: openai
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model: text-embedding-ada-002
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dimensions: 1536
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