dfccbf29f1
* Added hindsight_liteLLM implementation * Add instructions for entity vs bank id * Add another line about entity * Address PR review comments and enhance litellm integration - Remove deprecated limit parameter from recall() and arecall() functions since Hindsight uses budget/max_tokens for result control - Remove dead MODEL_MAX_OUTPUT_TOKENS dict and max_output_tokens property from LLMProvider (superseded by hardcoded max_completion_tokens) - Add test-litellm-integration job to CI workflow - Add reflect API support with use_reflect config option - Add verbose mode debug info via get_last_injection_debug() - Add entity_id support for multi-user memory isolation - Add retain() and reflect() wrapper functions - Update docstrings and examples 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Make max_memories optional to allow unlimited memory injection - Change max_memories default from 10 to None (no limit) - When max_memories is None, all results from the API are used - Fix recall result handling to properly detect list vs object return - Update wrappers (OpenAI, Anthropic) with same optional behavior This allows users to control memory limits via max_memory_tokens and recall_budget without an artificial count limit. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Remove entity_id from hindsight_litellm; add gpt-4o token cap Multi-user support now uses separate bank_ids per user instead of entity_id scoping (e.g., bank_id=f"user-{user_id}"). This simplifies the API and aligns with the Hindsight architecture. Also fixes max_completion_tokens error for gpt-4o models by capping the value at 16384 (gpt-4o's limit) instead of sending the default 65000 which exceeds the model's supported maximum. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Fix dark mode styling across Control Plane UI components Improvements to ensure proper text visibility and contrast in both light and dark modes: - Add global CSS rules for datetime-local calendar picker icon visibility using filter: invert() for both light (0.5) and dark (1) modes - Fix text colors in dialog components to use theme-aware foreground colors - Update memory detail panel, document/chunk modals, and data views to use proper dark mode text classes (text-foreground, text-card-foreground) - Fix form labels, headings, and content text in bank selector dialogs - Update entities view and documents view table styling for dark mode - Bump package versions to 0.1.4 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Remove session_id feature and add How It Works section to README - Remove session_id and session management (new_session, set_session, get_session) from config.py, callbacks.py, and __init__.py - Session management was a client-only abstraction not backed by core API - Add "How It Works" section to README with visual flow diagram - Update README to remove session management documentation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Fix readme example * Add dark mode again --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
59 lines
1.4 KiB
TOML
59 lines
1.4 KiB
TOML
[project]
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name = "hindsight-litellm"
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version = "0.1.0"
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description = "Universal LLM memory integration via LiteLLM - works with 100+ providers"
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readme = "README.md"
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requires-python = ">=3.10"
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license = { text = "MIT" }
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authors = [
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{ name = "Vectorize", email = "support@vectorize.io" }
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]
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keywords = [
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"ai",
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"memory",
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"llm",
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"litellm",
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"openai",
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"anthropic",
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"groq",
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"langchain",
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"agents",
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"hindsight",
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]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"litellm>=1.40.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0.0",
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"pytest-asyncio>=0.21.0",
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"pytest-mock>=3.10.0",
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]
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[project.urls]
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Homepage = "https://github.com/vectorize-io/hindsight"
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Documentation = "https://github.com/vectorize-io/hindsight/tree/main/hindsight-integrations/litellm"
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Repository = "https://github.com/vectorize-io/hindsight"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["hindsight_litellm"]
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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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