acf74981b2
Replace the unconditional top-5 keyword recall with a deterministic, layered gate so only relevant Knowledge entries reach the prompt. - New src/memory/recall.rs: tokenization with stopword filtering and a bounded term list; ranking combines lexical relevance, importance and recency; double gate (min_relevance + min_score) drops weak or stale matches; hard tokio::time::timeout wraps the SQL search so a slow FTS5 query never delays a turn. - MemoryConfig gains recall_min_relevance, recall_min_score, recall_recency_half_life_days, recall_timeout_ms (default 1000ms); recall_limit is now actually wired instead of being a dead field. - MemoryManager::recall_for_context exposes the gated path; the memory_recall tool keeps the raw search. - Storage::search_memories / search_memories_by_time share a single jieba-based tokenizer via the new module; search_memories_by_terms accepts pre-tokenized input for the gated path. - Docs and example configs (README, about-picobot references, both config.example.json templates) updated to reflect the new behavior.
121 lines
3.4 KiB
JSON
121 lines
3.4 KiB
JSON
{
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"providers": {
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"aliyun": {
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"type": "openai",
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"base_url": "https://api.openai.com/v1",
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"api_key": "<DASHSCOPE_API_KEY>",
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"extra_headers": {}
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},
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"openai": {
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"type": "openai",
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"base_url": "https://api.openai.com/v1",
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"api_key": "<OPENAI_API_KEY>",
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"extra_headers": {}
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},
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"anthropic": {
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"type": "anthropic",
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"base_url": "https://api.anthropic.com/v1",
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"api_key": "<ANTHROPIC_API_KEY>",
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"extra_headers": {}
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}
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},
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"models": {
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"qwen-plus": {
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"model_id": "qwen-plus",
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"temperature": 0.0,
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"max_tokens": 8192,
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"token_limit": 128000
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},
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"gpt-4o": {
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"model_id": "gpt-4o",
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"temperature": 0.7,
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"max_tokens": 4096,
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"input_type": ["text", "image"]
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},
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"claude-sonnet-4-20250514": {
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"model_id": "claude-sonnet-4-20250514",
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"temperature": 0.7,
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"max_tokens": 8192,
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"input_type": ["text", "image"]
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}
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},
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"agents": {
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"default": {
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"provider": "aliyun",
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"model": "qwen-plus",
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"max_tool_iterations": 99
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}
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},
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"context_compaction": {
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"enabled": true,
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"reserve_tokens": 16384,
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"keep_recent_tokens": 20000
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},
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"gateway": {
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"host": "127.0.0.1",
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"port": 19876,
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"require_pairing": true,
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"scheduler": {
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"enabled": true,
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"poll_interval_secs": 60,
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"max_concurrent": 1,
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"execution_timeout_secs": 900
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}
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},
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"client": {
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"gateway_url": "ws://127.0.0.1:19876/ws"
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},
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"channels": {
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"feishu": {
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"enabled": true,
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"app_id": "<FEISHU_APP_ID>",
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"app_secret": "<FEISHU_APP_SECRET>",
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"allow_from": ["*"],
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"require_mention": true,
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"agent": "default",
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"media_dir": "~/.picobot/media/feishu",
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"reaction_emoji": "Typing",
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"live_update_interval_ms": 500,
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"request_timeout_secs": 30
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"memory": {
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"consolidation_provider": null,
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"consolidation_model": null,
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"recall_limit": 5,
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"recall_min_relevance": 0.25,
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"recall_min_score": 0.25,
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"recall_recency_half_life_days": 30,
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"recall_timeout_ms": 1000,
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"idle_consolidation_minutes": 10,
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"timeline_retention_days": 90,
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"max_failures_before_degrade": 3
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},
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"mcp": {
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"servers": [],
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"tool_timeout_secs": 180
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},
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"browser": {
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"enabled": true,
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"command": "agent-browser",
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"headless": true,
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"browser_executable_path": null,
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"max_sessions": 4,
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"idle_timeout_secs": 3600,
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"command_timeout_secs": 120,
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"max_output_chars": 50000,
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"content_boundaries": true,
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"allowed_domains": [],
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"allow_private_hosts": false,
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"artifact_dir": "~/.picobot/media/browser",
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"persistence": {
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"profile_dir": "~/.picobot/browser/profiles"
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}
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},
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"workspace_dir": "~/.picobot/workspace"
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}
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