Praxis CI
b77536aa5e
---ci--- phase: 1 milestone: v0.1 status: complete requirements: covered: [REQ-VOICE-01, REQ-VOICE-02, REQ-VOICE-03, REQ-VOICE-04, REQ-SCEN-01, REQ-STATE-01, REQ-LLM-01, REQ-LLM-02, REQ-DEBRIEF-01, REQ-ORCH-01, REQ-ORCH-02, REQ-SCEN-FMT-01, REQ-NFR-LAT-01, REQ-NFR-SAFE-01, REQ-NFR-COST-01] partial: [] ---/ci---
56 lines
1.6 KiB
TOML
56 lines
1.6 KiB
TOML
[build-system]
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requires = ["setuptools>=68", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "praxis-server"
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version = "0.1.0"
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description = "Praxis — voice-first AI apprenticeship platform (v0.1 foundation: minimal viable voice loop)"
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readme = "README.md"
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requires-python = ">=3.11"
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license = { text = "Proprietary" }
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authors = [{ name = "Praxis v0.1 (CIAgent)" }]
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dependencies = [
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# Orchestration — Pipecat (D-017) with the three native service extras + WebRTC transport
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"pipecat-ai[deepgram,cartesia,piper,webrtc]>=1.6.0",
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# LLM access — Ollama Cloud direct API (D-020). Pipecat's OLLamaLLMService uses the
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# OpenAI-compatible client; we point base_url at https://ollama.com/v1 + bearer key.
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"openai>=1.40",
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# Scenario format — YAML DSL → Pydantic (D-018)
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"pydantic>=2.7",
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"pyyaml>=6.0",
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# Learner state — SQLite (D-007), async access
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"aiosqlite>=0.20",
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# Config
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"python-dotenv>=1.0",
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# Latency probes — HTTP client for the integrated e2e probe
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"httpx>=0.27",
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"websockets>=12.0",
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# Audio probe fixture generation (synthesized PCM) for the ASR probe
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"numpy>=1.26",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.23",
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"pytest-cov>=5.0",
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]
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[project.scripts]
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praxis-server = "server.__main__:main"
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["server*", "db*", "scenarios*"]
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exclude = ["client*", "tests*", "scripts*"]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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addopts = "-ra -q"
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[tool.coverage.run]
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source = ["server", "db"] |