ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter7/user-memory-system-evaluation/live_config.yaml

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+# Known-working validation subset on the companion development account.
+# This never substitutes for default_config.yaml's full BGE/OpenAI/Doubao sweep.
+chat_models:
+  kimi:
+    model: kimi-k2.5
+    base_url: https://api.moonshot.cn/v1
+    api_key_env: KIMI_API_KEY
+    disable_thinking: true
+    temperature: 0.6
+    pricing:
+      currency: CNY
+      as_of_date: "2026-07-29"
+      source_url: https://platform.kimi.com/docs/pricing/chat-k25
+      input_per_million: 4.00
+      cached_input_per_million: 0.70
+      output_per_million: 21.00
+      source_note: Published Kimi K2.5 list price; input rate is cache-miss/uncached.
+  doubao:
+    model: doubao-seed-1-6-250615
+    base_url: https://ark.cn-beijing.volces.com/api/v3
+    api_key_env: ARK_API_KEY
+
+embeddings:
+  mistral:
+    model: mistral-embed
+    base_url: https://api.mistral.ai/v1
+    api_key_env: MISTRAL_API_KEY
+    pricing:
+      currency: USD
+      as_of_date: "2026-07-29"
+      source_url: https://mistral.ai/pricing/api/
+      input_per_million: 0.10
+      source_note: Published Mistral Embed list price.
+  codestral:
+    model: codestral-embed
+    base_url: https://api.mistral.ai/v1
+    api_key_env: MISTRAL_API_KEY
+
+rerankers:
+  none:
+    type: none
+  kimi-semantic:
+    type: llm
+    chat_model: kimi
+
+judge:
+  evaluator: kimi
+  model: kimi-k2.5
+
+experiment_7_4:
+  main_model: kimi
+  embedding: mistral
+  reranker: kimi-semantic
+  rounds_per_chunk: 6
+  overlap: 2
+
+experiment_7_11:
+  embeddings: [mistral, codestral]
+  rerankers: [none, kimi-semantic]
+  main_models: [kimi, doubao]
+  retrieval_judge_model: kimi
+  max_search_rounds: 3
+  rounds_per_chunk: 6
+  overlap: 2