* feat: Add Anthropic Claude and LM Studio provider support - Add Anthropic as LLM provider with full async support - Add LM Studio provider for local model inference - Fix JSON response format compatibility for local models - Update .env.example with configuration examples - Update docstrings with all supported providers Tested with: - Claude Sonnet 4 (claude-sonnet-4-20250514) - Claude Haiku 4.5 (claude-haiku-4-5-20251001) - Qwen 30B via LM Studio * feat: Add dynamic timeout for local LLM providers Add configurable timeout support for LLM API calls: - Environment variable override via HINDSIGHT_API_LLM_TIMEOUT - Dynamic heuristic for lmstudio/ollama: 20 mins for large models (30b, 33b, 34b, 65b, 70b, 72b, 8x7b, 8x22b), 5 mins for others - Pass timeout to Anthropic, OpenAI, and local model clients 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * fix: Address PR review feedback - Remove CLAUDE.md from .gitignore (should stay in repository) - Pass max_completion_tokens to _call_anthropic instead of hardcoding 4096 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * chore: Remove deleted AI assistant files from .gitignore 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * docs: Add CLAUDE.md for Claude Code integration Provides project context and development commands for AI-assisted coding. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * chore: Include local dev files and sync changes - Add docker-compose.yml for local development - Add test_internal.py for local testing - Sync uv.lock and llm_wrapper.py changes 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * fix: Address PR review feedback for LLM provider support - Move LLM config to config.py with HINDSIGHT_API_ prefix - Add HINDSIGHT_API_LLM_MAX_CONCURRENT (default: 32) - Add HINDSIGHT_API_LLM_TIMEOUT (default: 120s) - Remove fragile model-size timeout heuristic - Apply markdown JSON extraction to all providers, not just local - Fix Anthropic markdown extraction bug (missing split) - Change LLM request/response logs from info to debug level 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * chore: Remove local dev docker-compose.yml 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * chore: Add local dev docker-compose.yml 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * fix: Update LM Studio port to 2222 in docker-compose 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * chore: Remove obsolete version attribute from docker-compose 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * fix: Remove test file and docker-compose per PR review - Remove test_internal.py (debug file) - Remove docker-compose.yml (to be moved to hindsight-cookbook repo) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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| hindsight | ||
| tests | ||
| pyproject.toml | ||
| README.md | ||
hindsight-all
All-in-one package for Hindsight - Agent Memory That Works Like Human Memory
Quick Start
from hindsight import start_server, HindsightClient
# Start server with embedded PostgreSQL
server = start_server(
llm_provider="groq",
llm_api_key="your-api-key",
llm_model="openai/gpt-oss-120b"
)
# Create client
client = HindsightClient(base_url=server.url)
# Store memories
client.put(agent_id="assistant", content="User prefers Python for data analysis")
# Search memories
results = client.search(agent_id="assistant", query="programming preferences")
# Generate contextual response
response = client.think(agent_id="assistant", query="What languages should I recommend?")
# Stop server when done
server.stop()
Using Context Manager
from hindsight import HindsightServer, HindsightClient
with HindsightServer(llm_provider="groq", llm_api_key="...") as server:
client = HindsightClient(base_url=server.url)
# ... use client ...
# Server automatically stops
Installation
pip install hindsight-all