Files
project-lyra/pyproject.toml
T
serversdown f3037b7879 feat: ChatGPT chat-log importer
Import the parser's {title, messages} JSON into Lyra's memory so past
conversations seed recall (and, later, the era-rollup tier).

- lyra/ingest.py: one conversation -> one session, text messages -> exchanges;
  skips non-text (image asset) messages and non user/assistant roles; embeddings
  batched; idempotent by filename-derived session id; `lyra-import <dir>` CLI
- memory.add_exchanges_bulk: batched insert of pre-embedded rows

Format has no timestamps yet, so imports are stamped at import time; a future
dated export will let era memory group by real calendar time.

Verified on the 68-file lyra dev set: 7519 exchanges, idempotent re-run, recall
returns relevant history.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 00:51:45 +00:00

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TOML

[project]
name = "lyra"
version = "0.1.0"
description = "Persistent, autonomous AI assistant"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.115",
"httpx>=0.28.1",
"numpy>=2.4.5",
"openai>=2.37.0",
"python-dotenv>=1.2.2",
"uvicorn[standard]>=0.34",
]
[project.scripts]
lyra = "lyra.__main__:main"
lyra-web = "lyra.web.server:serve"
lyra-import = "lyra.ingest:main"
[dependency-groups]
dev = [
"pytest>=8.0",
"ruff>=0.6",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["lyra"]
[tool.ruff]
line-length = 100
target-version = "py311"
[tool.pytest.ini_options]
testpaths = ["tests"]