infosave2007
95e560dc72
API keys page: the table now answers "which department spends what" — per-key requests, tokens in/out and cost for a selectable window (24h/7d/30d) plus a cumulative all-time cost column, joined from stats by the key's account. The stats log stays bounded while the accounting survives: once stats.jsonl exceeds max_file_mb (default 16, 0 disables), records older than the retention window fold into cumulative per-account totals in a small sidecar file (tmp+rename on both) and leave the log. alltime = folded + in-file, a record is never counted twice, verified end-to-end on synthetic data (1.2 MB → 301 KB, totals identical before/after compaction and restarts). Routing: a task rule can now PIN the complexity tier — `[routing.tasks.legal] models=[...] tier="high"` (old plain-array rules parse unchanged). The pinned tier replaces the router's verdict before the escalation check and reports itself as route_source "router+task-rule@high". The Routing page grows a per-task «Complexity» selector (Auto/low/medium/ high); verified live: a code prompt with a pinned high went router+task-rule@high → the expensive model. 13 new strings in all 7 languages; docs/ROUTING(.ru) updated.
156 lines
7.5 KiB
TOML
156 lines
7.5 KiB
TOML
# ============================================================================
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# Cortiq Gateway — example configuration
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# Copy to gateway.toml and edit for your own model pool.
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# Do NOT store secrets here — provide them via *_env (environment variables)
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# or set them from the admin console (stored in config/secrets.toml).
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# ============================================================================
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listen = "0.0.0.0:9000"
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# --- connection to cortiq-router (decides task type / complexity) -----------
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# Hosted allaigate router: url = "https://138.226.222.209", verify_tls = false
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# (cert is bound to an IP), taxonomy_id = "data-assistant", a cortiq_… key in
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# CORTIQ_ROUTER_KEY.
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# NOTE: on hard prompts the router escalates to an oracle LLM (~10 s) — for the
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# hosted router set timeout_ms = 12000+, otherwise the gateway degrades to default.
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[router]
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url = "https://138.226.222.209" # hosted allaigate router (or your own cortiq-router URL)
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api_key_env = "CORTIQ_ROUTER_KEY" # name of the env var holding the router key
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timeout_ms = 12000 # hard prompts escalate to an oracle (~10 s)
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taxonomy_id = "data-assistant" # the hosted router's task taxonomy
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verify_tls = false # the hosted endpoint is IP-bound; true for your own domain
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# --- how to pick the text to classify from the conversation -----------------
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[route]
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text_strategy = "last_user" # last_user | last_user_plus_system | concat_all
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max_chars = 4000
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cache_ttl = "60s"
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profile = "balanced" # cost-saver | balanced | quality-first
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# ============================================================================
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# Model pool — EMPTY by default. A fresh gateway starts with no models and an
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# empty pool; add them in the admin console (/admin → Models), or run a local
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# .cmf via the [cmf] section below. To add one by hand, copy this shape:
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#
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# [[models]]
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# id = "my-model"
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# provider = "openai" # openai | anthropic (openai also covers
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# base_url = "http://127.0.0.1:8081/v1" # OpenRouter/Together/Groq/vLLM/Ollama)
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# model = "my-model"
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# # api_key_env = "OPENAI_API_KEY" # for hosted providers (never inline a key)
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# cost_tier = "local"
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# caps = ["tools"]
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# ============================================================================
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# ============================================================================
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# Routing table: complexity tier → ordered pool (priority = fallback chain).
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# Leave default empty for a fresh install; set it to a model id once you add one.
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# ============================================================================
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[routing]
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low = []
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medium = []
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high = []
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default = "" # set to a model id once you add one
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[routing.policy]
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mode = "fixed_table" # fixed_table | cost_aware
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# for cost_aware:
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# min_class = { low = "cheap", medium = "mid", high = "expensive" }
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# max_cost_usd_per_request = 0.50
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# --- resilience -------------------------------------------------------------
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[breaker]
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threshold = 5
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cooldown = "30s"
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# ============================================================================
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# Inbound protocols — enable only what you need (toggles apply live in the UI)
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# ============================================================================
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[protocols]
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openai_chat = true
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openai_completions = true
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openai_embeddings = true
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openai_models = true
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anthropic_messages = true
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mcp = false
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native_passthrough = true
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# --- response routing metadata ----------------------------------------------
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[cortiq]
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echo = true # add a "cortiq" field to the response body (X-Cortiq-* headers are always sent)
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# ============================================================================
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# Authentication: virtual gateway keys (agents get these, not provider keys).
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# If this section is empty, the gateway runs in open mode (local development).
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# ============================================================================
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[[api_keys]]
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key = "sk-gw-team-a"
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account = "team-a"
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rate_per_min = 600
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# allow_models = ["cortiq-auto", "cmf-local"] # restrict available models (optional)
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# --- idempotency and logging ------------------------------------------------
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[idempotency]
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ttl = "10m"
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[log]
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bodies = false # do NOT log message bodies (privacy) — default
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level = "info"
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[telemetry]
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metrics = true # GET /metrics (Prometheus)
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otlp_endpoint_env = "OTEL_EXPORTER_OTLP_ENDPOINT" # optional
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# ============================================================================
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# Admin web console — embedded in the binary, served at /admin
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# ============================================================================
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[admin]
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enabled = true
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# Name of the env var holding the admin token. If unset (or empty), a token is
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# generated at startup and printed to the log (see also the --admin-token flag).
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token_env = "CORTIQ_ADMIN_TOKEN"
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# listen = "127.0.0.1:9001" # optional: separate bind for admin (default: main listen)
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# ============================================================================
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# Request statistics (dashboard + /metrics). Kept in memory + appended to JSONL.
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# ============================================================================
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[stats]
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enabled = true
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file = "config/stats.jsonl" # empty = in-memory only
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ring_size = 500 # how many recent requests to keep in the feed
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retention = "7d" # aggregate/series depth (replayed on startup)
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# stats.jsonl is compacted once it exceeds this size: old records fold into
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# cumulative per-account totals (sidecar file), so per-key accounting survives
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# while the disk stays bounded. 0 disables.
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max_file_mb = 16
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# ============================================================================
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# Semantic cache — returns a cached answer for prompts semantically near a
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# previous one, skipping the model call. Requires an embedding model in the pool.
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# Disabled by default. (Cache settings take effect on restart.)
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# ============================================================================
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[cache]
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enabled = false
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threshold = 0.92 # cosine similarity for a hit (0..1)
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ttl = "1h"
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max_entries = 1000
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# embed_model = "local-embed" # defaults to the first kind = "embedding" model
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# ============================================================================
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# Local CMF model server. The gateway can install/run a local .cmf via cortiq
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# (github.com/infosave2007/cmf) and register it as the "cmf-local" model above,
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# so it works even when the router and cloud providers are unavailable.
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# Changes to manage_server / local_model / threads / gpu apply on restart.
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# ============================================================================
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[cmf]
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manage_server = false # true → gateway spawns `cortiq serve` at startup
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local_model = "models/model.cmf" # path to the .cmf to serve
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local_host = "127.0.0.1"
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local_port = 8081 # confirm it's free in Settings → "Check port" (8081 often clashes with Docker/Apache)
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model_id = "cmf-local" # id it registers under (matches [[models]])
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threads = 8 # decode worker threads (CMF_THREADS); ~3x vs serial
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gpu = false # offload matvecs to GPU (Metal/wgpu); mainly a prefill win
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cortiq_bin = "cortiq" # the cortiq CLI (cargo install cortiq-cli)
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auto_install = false # install cortiq-cli from crates.io if the binary is missing
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local_only = false # true → route every request to the local model
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