forked from retoor/devplacepy
AI gateway: - Add a generic, admin-selectable `client_profile` field on gateway_providers (e.g. "opencode") so a provider needing special request headers (OpenCode Zen's client-identity spoofing) is configured like any other provider, not hardcoded by name. - Track per-(provider, model) reliability/speed/latency health in memory, seeded from the existing gateway_usage_ledger at startup - purely observational, never influences routing. - New Stats tab on /admin/gateway: request volume, latency, per-model breakdowns, and reliability weight, charted with a vendored Chart.js and devplace's own theme tokens. - Record which model a failed request actually fell back to (fallback_used_route), surfaced in the Recent Failures table. - Stop excluding context_length errors from fallback, and skip a primary attempt outright when its known context window is already too small for the estimated request size, going straight to the fallback. - gateway_usage_ledger's provider/fallback_used_route columns and indexes are ensured centrally in database/schema.py's init_db(), the single point of truth for this table's schema. - Non-OpenAI upstream routing and client-model passthrough; trust only the upstream's own X-Gateway-Model header for served-model attribution. Devii agent: - Fix a real lockup: plan/verify tools could be individually disabled via the admin tool toggles while still being required by the protocol gate, permanently bricking any task that needed tools. They can no longer be disabled, and the gate now also checks the tool is actually offered. - Fix compaction being silently calibrated for a 1M-token model while running a much smaller one: context budget is now percentage-based and the summarizer's own request is sized to fit the real model. - Give a specific, actionable retry message when plan()'s own arguments get cut off by the output limit, and tighten its schema to discourage overlong plans. Other: - Backup service: offload completed backups to a remote Hetzner Storage Box. - Container manager: fix orphan blob leaks from sync races, add a two-phase plan/execute `system prune` CLI command. - Admin gateway UI: replace the JS-rendered model/provider tables with server-rendered forms and pages. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DhmEkvutuwtzFVcLbTrhdo
38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
# retoor <retoor@molodetz.nl>
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from devplacepy.services.openai_gateway import model_stats_query as msq
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def test_bucket_seconds_has_a_floor():
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assert msq._bucket_seconds(60) == 60
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assert msq._bucket_seconds(3600) == 60
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def test_bucket_seconds_scales_with_range():
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week = 7 * 86400
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assert msq._bucket_seconds(week) == week // 120
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def test_histogram_places_values_in_the_right_bucket():
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edges = (10, 20)
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labels = ("low", "mid", "high")
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result = msq._histogram([5, 15, 25, 9.999, 20], edges, labels)
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counts = {row["label"]: row["count"] for row in result}
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assert counts == {"low": 2, "mid": 1, "high": 2}
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def test_histogram_empty_input_is_all_zero():
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result = msq._histogram([], (200, 500), ("a", "b", "c"))
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assert all(row["count"] == 0 for row in result)
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def test_resolve_range_rejects_unknown_key():
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import pytest
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with pytest.raises(ValueError):
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msq._resolve_range("not-a-real-range")
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def test_resolve_range_known_key():
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assert msq._resolve_range("24h") == msq.RANGE_SECONDS["24h"]
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