WangShen007
20fef2b9f3
One word everywhere: ReplyPier in UI copy, package and image names, the replypier.site domains (app/api/docs/help), REPLYPIER_* settings and the --rp-* design tokens. - public widget API is window.ReplyPier with replypierId / replypierBaseUrl / replypierConfig / replypierToken, loader at webclient/replypier.min.js; both bundles rebuilt from source - NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and the demo runtime config rewritten; the demo config ships no third-party keys - migration adds the ReplyPier managed model value to the AI model enum - local compose project, database, role, volume and Docker network carry the same name
63 lines
2.3 KiB
Python
63 lines
2.3 KiB
Python
"""
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from app.core.config import settings
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from app.utils.model_context import (
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context_tokens_for,
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faq_batch_chars_for,
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output_tokens_for,
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)
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def test_longest_prefix_wins():
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assert context_tokens_for("OPENAI", "gpt-4o-mini") == 128_000
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assert context_tokens_for("OPENAI", "gpt-4") == 8_000 # bare gpt-4, not gpt-4o
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assert context_tokens_for("MISTRAL", "mistral-large-latest") == 128_000
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assert context_tokens_for("MISTRAL", "mistral-small") == 32_000
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def test_unknown_model_falls_back_to_provider_default():
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assert context_tokens_for("ANTHROPIC", "some-future-model") == 200_000
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assert context_tokens_for("GROQ", "unknown") == 8_000
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assert context_tokens_for("", "") == 8_000 # unknown provider → global floor
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def test_env_override_wins(monkeypatch):
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monkeypatch.setattr(settings, "FAQ_CONTEXT_TOKENS_OVERRIDE", 42_000)
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assert context_tokens_for("OPENAI", "gpt-4o") == 42_000
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def test_small_context_model_keeps_floor_batch():
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batch_chars, max_faqs = faq_batch_chars_for("GROQ", "llama3-8b-8192")
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assert batch_chars == settings.FAQ_MAX_BATCH_CHARS
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assert max_faqs >= 15
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def test_large_context_model_hits_ceiling():
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batch_chars, max_faqs = faq_batch_chars_for("ANTHROPIC", "claude-sonnet-5")
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assert batch_chars == settings.FAQ_MAX_BATCH_CHARS_CEILING
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assert batch_chars > settings.FAQ_MAX_BATCH_CHARS
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assert 15 <= max_faqs <= 40
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def test_mid_context_model_lands_between_floor_and_ceiling():
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batch_chars, _ = faq_batch_chars_for("OPENAI", "gpt-3.5-turbo")
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assert settings.FAQ_MAX_BATCH_CHARS <= batch_chars <= settings.FAQ_MAX_BATCH_CHARS_CEILING
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def test_output_reserve_scales_with_faq_count():
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assert output_tokens_for(40) > output_tokens_for(15) > 0
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