Adriano
4dad8be36b
Tutti i tier (S/A/B/C/D) ora passano per OpenRouter via OpenAI SDK.
Modelli Anthropic raggiungibili via prefisso `anthropic/...`.
- pyproject: rimosso `anthropic>=0.39` da deps + uv.lock
- config: rimosso `anthropic_api_key` field
- LLMClient: dispatch unico, single client OpenAI con base_url OpenRouter
- defaults S/A/B → `anthropic/claude-{opus-4-7,sonnet-4-6}`
- retry exceptions: solo openai.* (drop anthropic.*)
- test rinominati e adattati: tier S/A/B mockano OpenAI con prefisso `anthropic/`
- rimosso test `tier_S_without_anthropic_key_raises` (non più rilevante)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
23 lines
702 B
Bash
23 lines
702 B
Bash
# Cerbero MCP (locale durante Phase 1)
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CERBERO_BASE_URL=http://localhost:9000
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CERBERO_TESTNET_TOKEN=
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CERBERO_MAINNET_TOKEN=
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CERBERO_BOT_TAG=swarm-poc-phase1
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# LLM provider (single endpoint via OpenRouter — supports anthropic/openai/qwen/llama models)
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OPENROUTER_API_KEY=
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OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
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# Models per tier (override Phase 1 defaults if needed)
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LLM_MODEL_TIER_S=anthropic/claude-opus-4-7
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LLM_MODEL_TIER_A=anthropic/claude-sonnet-4-6
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LLM_MODEL_TIER_B=anthropic/claude-sonnet-4-6
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LLM_MODEL_TIER_C=qwen/qwen-2.5-72b-instruct
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LLM_MODEL_TIER_D=meta-llama/llama-3.3-70b-instruct
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# Run config
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RUN_NAME=phase1-spike-001
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DATA_DIR=./data
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SERIES_DIR=./series
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DB_PATH=./runs.db
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