fleet-memory/hindsight-integrations/litellm/pyproject.toml
Chris Bartholomew c0ca9b027e
Fix: Pass api_key to Hindsight client in litellm integration (#193)
* Fix: Pass api_key to Hindsight client in litellm integration

The recall(), reflect(), and retain() wrapper functions were creating
Hindsight client instances without passing the api_key from the config.
This caused 401 Unauthorized errors when using hindsight-litellm with
authenticated Hindsight API servers.

Also added api_key parameter to:
- HindsightOpenAI and HindsightAnthropic wrapper classes
- wrap_openai() and wrap_anthropic() functions

* Add sensible defaults for simpler API usage

Make it easier to get started with hindsight-litellm by providing
sensible defaults:

- Default API URL: https://api.hindsight.vectorize.io (production)
- Default bank_id: "default"
- Read api_key from HINDSIGHT_API_KEY environment variable

Now users can simply do:

    client = wrap_openai(OpenAI())

With just the HINDSIGHT_API_KEY env var set, and it works.

Also adds comprehensive unit tests for the new defaults behavior.

* Fix test using non-existent 'enabled' parameter in configure()

The test was calling configure(enabled=False) but configure() doesn't
have an enabled parameter. Changed to test is_configured() returns False
when reset_config() has been called.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Fix: rename 'background' parameter to 'mission' in Python client create_bank()

The parameter was named 'background' but the internal code used 'mission',
causing undefined variable errors. The tests also expected 'mission'.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

---------

Co-authored-by: Nicolò Boschi <boschi1997@gmail.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-26 10:49:06 +01:00

68 lines
1.7 KiB
TOML

[project]
name = "hindsight-litellm"
version = "0.3.0"
description = "Universal LLM memory integration via LiteLLM - works with 100+ providers"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [
{ name = "Vectorize", email = "support@vectorize.io" }
]
keywords = [
"ai",
"memory",
"llm",
"litellm",
"openai",
"anthropic",
"groq",
"langchain",
"agents",
"hindsight",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"litellm>=1.40.0",
# Transitive dependency security fixes
"aiohttp>=3.13.3", # Multiple DoS vulnerabilities
"filelock>=3.20.3", # TOCTOU race condition
"urllib3>=2.6.3", # Decompression-bomb safeguards bypass
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"pytest-asyncio>=0.21.0",
"pytest-mock>=3.10.0",
]
[project.urls]
Homepage = "https://github.com/vectorize-io/hindsight"
Documentation = "https://github.com/vectorize-io/hindsight/tree/main/hindsight-integrations/litellm"
Repository = "https://github.com/vectorize-io/hindsight"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["hindsight_litellm"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
[dependency-groups]
dev = [
"pytest>=9.0.2",
]