Three memory channels: hidden tool (sol.memory.set/get in scripts), pre-response injection (relevant memories loaded into system prompt), and post-response extraction (ministral-3b extracts facts after each response). User isolation enforced at Rust level — user_id derived from Matrix sender, never from script arguments. New modules: context (ResponseContext), memory (schema, store, extractor). ResponseContext threaded through responder → tools → script runtime. OpenSearch index sol_user_memory created on startup alongside archive.
42 lines
1.2 KiB
TOML
42 lines
1.2 KiB
TOML
[matrix]
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homeserver_url = "http://tuwunel.matrix.svc.cluster.local:6167"
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user_id = "@sol:sunbeam.pt"
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state_store_path = "/data/matrix-state"
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[opensearch]
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url = "http://opensearch.data.svc.cluster.local:9200"
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index = "sol_archive"
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memory_index = "sol_user_memory"
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batch_size = 50
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flush_interval_ms = 2000
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embedding_pipeline = "tuwunel_embedding_pipeline"
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[mistral]
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default_model = "mistral-medium-latest"
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evaluation_model = "ministral-3b-latest"
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research_model = "mistral-large-latest"
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max_tool_iterations = 5
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[behavior]
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response_delay_min_ms = 100
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response_delay_max_ms = 2300
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spontaneous_delay_min_ms = 15000
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spontaneous_delay_max_ms = 60000
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spontaneous_threshold = 0.85
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room_context_window = 30
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dm_context_window = 100
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backfill_on_join = true
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backfill_limit = 10000
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instant_responses = false
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cooldown_after_response_ms = 15000
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evaluation_context_window = 200
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reaction_threshold = 0.6
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reaction_enabled = true
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detect_sol_in_conversation = true
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script_timeout_secs = 5
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script_max_heap_mb = 64
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script_fetch_allowlist = []
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memory_extraction_enabled = true
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# evaluation_prompt_active = "custom prompt when Sol is already in conversation..."
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# evaluation_prompt_passive = "custom prompt when Sol hasn't spoken yet..."
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