From 2871ab824836b970b5e031cb0165cf14bd8d12fe Mon Sep 17 00:00:00 2001 From: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com> Date: Mon, 28 Jul 2025 17:36:14 -0400 Subject: [PATCH] fix: Various performance and linting improvements (#170) * fix: Various performance and linting improvements * chore: Code Rabbit Nitpicks --- .github/workflows/unittest.yml | 1 + .gitignore | 1 + .pre-commit-config.yaml | 17 - docs/bun.lock | 117 ++--- docs/docs.json | 6 +- docs/v2/guides/ai-assisted-setup.mdx | 296 ------------ sdks/typescript/bun.lock | 14 +- src/routers/sessions.py | 43 +- src/utils/clients.py | 4 + src/utils/summarizer.py | 27 ++ tests/bench/README.md | 14 +- tests/bench/harness.py | 7 +- tests/bench/tests/3player.json | 2 +- tests/bench/tests/summary_and_query.json | 2 +- tests/bench/tests/summary_trivial.json | 2 +- tests/bench/tests/trivial.json | 2 +- tests/bench/tests/trivial_session_scoped.json | 2 +- uv.lock | 447 ++++++++++-------- 18 files changed, 367 insertions(+), 637 deletions(-) delete mode 100644 docs/v2/guides/ai-assisted-setup.mdx diff --git a/.github/workflows/unittest.yml b/.github/workflows/unittest.yml index 42e1bfe5..b15e2f1c 100644 --- a/.github/workflows/unittest.yml +++ b/.github/workflows/unittest.yml @@ -30,6 +30,7 @@ on: permissions: contents: read + pull-requests: read jobs: # Determine which tests to run based on changed files diff --git a/.gitignore b/.gitignore index d9c5d3a3..8b377089 100644 --- a/.gitignore +++ b/.gitignore @@ -138,6 +138,7 @@ venv/ ENV/ env.bak/ venv.bak/ +.env.backup* # Spyder project settings .spyderproject diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 49f577ce..5ba50470 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -97,23 +97,6 @@ repos: files: ^sdks/typescript/.*\.(ts|tsx)$ pass_filenames: false - # Optional: Coverage check for main app only - - id: coverage-main - name: coverage check (main app) - entry: bash -c 'uv run coverage run -m pytest tests/ && uv run coverage report --fail-under=80' - language: system - files: ^(src/|tests/).*\.py$ - stages: [pre-push] - pass_filenames: false - - # License header check for Python files - - id: check-license-header - name: check license headers - entry: bash -c 'for f in "$@"; do if [[ "$f" =~ \.(py)$ ]] && ! grep -q "Copyright" "$f"; then echo "Missing license header in $f"; exit 1; fi; done' -- - language: system - files: ^(src/|sdks/python/src/).*\.py$ - pass_filenames: true - # Documentation linting - repo: https://github.com/igorshubovych/markdownlint-cli rev: v0.37.0 diff --git a/docs/bun.lock b/docs/bun.lock index 79dc5482..588132ca 100644 --- a/docs/bun.lock +++ b/docs/bun.lock @@ -6,10 +6,9 @@ "dependencies": { "@mintlify/scraping": "^4.0.284", "honcho-ai": "^0.0.11", - "mintlify": "^4.1.96", }, "devDependencies": { - "mint": "^4.1.96", + "mint": "^4.2.13", }, }, }, @@ -24,7 +23,7 @@ "@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.27.1", "", {}, "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow=="], - 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Zero configuration required." -sidebarTitle: 'AI-Assisted Setup' ---- - -Get Honcho up and running in minutes using AI coding assistants. These prompts are specifically optimized for Cursor and Claude to generate production-ready code with minimal effort. - -## 🚀 Quick Start - -Choose your path based on your use case: - -### Personal AI Assistant - -Build an AI assistant that remembers conversations and learns user preferences. - - -Copy this prompt into Cursor or Claude to get a complete implementation: - - -``` -Create a personal AI assistant using Honcho that remembers user preferences and conversations. Requirements: - -REFERENCE DOCUMENTATION: -- Honcho Docs: https://docs.honcho.dev -- Honcho GitHub: https://github.com/plastic-labs/honcho -- Python SDK: https://github.com/plastic-labs/honcho-python -- API Reference: https://docs.honcho.dev/v2/api-reference/introduction - -WHAT TO BUILD: -- Personal assistant that learns about the user automatically -- Remembers preferences, habits, and conversation history -- Provides personalized responses based on past interactions -- Uses Honcho's demo server (no setup required) - -TECHNICAL SETUP: -- Python with Honcho SDK and OpenAI -- Simple command-line interface for testing -- Environment: Use demo.honcho.dev (no API key needed) -- LLM: OpenAI GPT-4 (provide env var setup) - -CODE REQUIREMENTS: -- Complete working example with extensive comments -- Error handling and user-friendly messages -- Demonstration of key Honcho concepts: - * Creating peers (user and assistant) - * Managing sessions and conversations - * Automatic learning from interactions - * Querying learned information - * Getting context for AI responses - -EXAMPLE WORKFLOW: -1. User starts conversation with assistant -2. Assistant responds using any existing knowledge about user -3. System automatically learns facts from the conversation -4. System stores conversation in session -5. Future conversations reference past interactions - -Include installation instructions, environment setup, and example conversations to test. -``` - -### Discord Bot with Memory - -Create a Discord bot that learns about server members and provides personalized interactions. - -``` -Build a Discord bot using Honcho that learns about server members and provides personalized interactions. - -REFERENCE DOCUMENTATION: -- Honcho Docs: https://docs.honcho.dev -- Honcho GitHub: https://github.com/plastic-labs/honcho -- Python SDK: https://github.com/plastic-labs/honcho-python -- Discord Guide: https://docs.honcho.dev/v2/guides/discord -- API Reference: https://docs.honcho.dev/v2/api-reference/introduction - -STARTER TEMPLATE: -- Use the official discord-python-starter from Plastic Labs: https://github.com/plastic-labs/discord-python-starter -- This template already includes Honcho integration, py-cord, and fly.io deployment -- Modify the existing bot.py file to add enhanced memory features - -WHAT TO BUILD: -- Discord bot with persistent memory using Honcho -- Learns about users through natural conversation -- Provides personalized responses based on user history -- Handles multi-user conversations with context awareness -- Extends the starter template with advanced memory features - -TECHNICAL SETUP: -- Clone the discord-python-starter repository -- Python with py-cord, Honcho SDK, and OpenRouter LLM support -- Uses uv for package management (already configured) -- Environment variables template provided (.env.template) -- Docker and fly.io deployment ready - -CORE FEATURES TO ADD: -- Enhanced per-user memory and personality modeling -- Channel-specific session management -- Theory-of-mind queries ("What does this user like?") -- Advanced fact extraction from conversations -- Multi-participant conversation handling -- Slash commands for memory management - -IMPLEMENTATION REQUIREMENTS: -- Extend the existing on_message function with memory features -- Add new slash commands for memory testing and management -- Integrate Honcho's dialectic API for personalized responses -- Add session management for different channels -- Implement background fact learning and storage -- Error handling and comprehensive logging - -DEPLOYMENT: -- Use the included fly.toml for deployment -- Environment variable management with fly secrets -- Docker containerization (Dockerfile provided) - -Include examples of enhanced bot interactions and memory demonstrations. -``` - -## 🎯 Using Cursor - -### Setup Workflow - - - - ```bash - # Create project - mkdir my-honcho-agent - cd my-honcho-agent - - # Open in Cursor - cursor . - - # Use Cmd+L to open AI chat - # Paste one of the prompts above - ``` - - - ```bash - # Clone the starter template - git clone https://github.com/plastic-labs/discord-python-starter.git - cd discord-python-starter - - # Install dependencies - uv sync - - # Configure environment - cp .env.template .env - # Add your Discord token and API keys - ``` - - - -### Cursor Tips - - - - Use `@codebase` to ask questions about your entire project - - - Use `@docs https://docs.honcho.dev` for documentation context - - - Ask Cursor to write comprehensive tests for your Honcho integration - - - Request specific improvements: "Add better error handling" - - - -## 🤖 Claude Workflows - -### Rapid Development - -``` -I want to quickly prototype an AI agent with Honcho. Help me build: - -REFERENCE DOCUMENTATION: -- Honcho Docs: https://docs.honcho.dev -- Honcho GitHub: https://github.com/plastic-labs/honcho -- Quickstart Guide: https://docs.honcho.dev/v2/documentation/introduction/quickstart -- SDK Documentation: https://docs.honcho.dev/v2/documentation/platform/sdk - -1. SETUP: Complete development environment with Honcho demo server -2. CORE: Basic peer/session/message workflow with memory -3. INTEGRATION: OpenAI LLM integration with context management -4. TESTING: Simple test cases to verify memory functionality -5. ITERATION: Framework for adding features incrementally - -Focus on: -- Working code over perfect architecture -- Clear comments explaining Honcho concepts -- Easy-to-modify structure for experimentation -- Immediate feedback and testing capabilities - -Start with the most minimal viable example and show me how to extend it. -``` - -### Production Deployment - -``` -Help me deploy my Honcho application to production: - -REFERENCE DOCUMENTATION: -- Self-Hosting Guide: https://docs.honcho.dev/v2/contributing/self-hosting -- Configuration Guide: https://docs.honcho.dev/v2/contributing/configuration-guide -- Platform Overview: https://docs.honcho.dev/v2/documentation/platform/overview - -REQUIREMENTS: -- Environment configuration and secrets management -- Database setup and migrations -- API authentication and rate limiting -- Monitoring and logging setup -- Deployment automation - -Provide step-by-step deployment instructions for [Fly.io/Vercel/Railway/Heroku]. -``` - -## 💡 Common Patterns - -### Basic Conversation Flow - -1. **Initialize**: Create peers and start a session -2. **Converse**: Exchange messages between user and assistant -3. **Learn**: Honcho automatically extracts facts from conversations -4. **Remember**: Future conversations use accumulated context -5. **Personalize**: Responses adapt based on learned information - -### Advanced Features - - - - Implement separate memory contexts for different users or channels - - - Manage conversation history to stay within LLM token limits - - - Query and update the knowledge graph programmatically - - - Use dialectic API to reason about user preferences and mental states - - - -## 🛠️ Troubleshooting - - -```text Connection Issues -"My Honcho connection is failing with [ERROR]. Here's my environment setup: [paste code]. What's wrong and how do I fix it?" -``` - -```text Memory Not Persisting -"The agent isn't remembering conversations between sessions. Here's my session management code: [paste code]. Help me debug this." -``` - -```text Performance Optimization -"My Honcho queries are slow. Here's my implementation: [paste code]. How can I optimize this?" -``` - -```text Integration Problems -"I'm trying to integrate Honcho with [SYSTEM] but getting [ERROR]. Here's my approach: [paste code]. What's the correct way to do this?" -``` - - -## 🚀 Next Steps - -After your initial setup: - -1. **Add Features**: Extend with voice input, web UI, or API endpoints -2. **Improve Memory**: Implement custom fact extraction and retrieval -3. **Scale Up**: Add caching, background processing, and optimization -4. **Deploy**: Move from demo server to production environment -5. **Monitor**: Add logging, metrics, and error tracking - -## 📚 Resources - -### Documentation -- **Main Docs**: [docs.honcho.dev](https://docs.honcho.dev) -- **API Reference**: [docs.honcho.dev/v2/api-reference](https://docs.honcho.dev/v2/api-reference/introduction) - -### Code & Examples -- **Honcho Core**: [github.com/plastic-labs/honcho](https://github.com/plastic-labs/honcho) -- **Python SDK**: [github.com/plastic-labs/honcho-python](https://github.com/plastic-labs/honcho-python) -- **TypeScript SDK**: [github.com/plastic-labs/honcho-node](https://github.com/plastic-labs/honcho-node) -- **Discord Starter**: [github.com/plastic-labs/discord-python-starter](https://github.com/plastic-labs/discord-python-starter) - -### Key Concepts for AI Prompts -When working with AI assistants, mention these concepts: -- **Core**: "peers, sessions, messages, facts" -- **Advanced**: "dialectic API, theory of mind, context management" -- **Integration**: "LLM context injection, session persistence, multi-user handling" - - -**Pro Tip**: Be specific about your requirements and constraints when prompting AI. 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src.exceptions import ( AuthenticationException, ResourceNotFoundException, @@ -400,43 +399,39 @@ async def get_session_context( summary_tokens_limit = token_limit * 0.4 - # Use separate database sessions for concurrent operations - async def get_long_summary(): - async with tracked_db("get_long_summary") as db_session: - return await summarizer.get_summary( - db_session, - workspace_name=workspace_id, - session_name=session_id, - summary_type=summarizer.SummaryType.LONG, - ) - - async def get_short_summary(): - async with tracked_db("get_short_summary") as db_session: - return await summarizer.get_summary( - db_session, - workspace_name=workspace_id, - session_name=session_id, - summary_type=summarizer.SummaryType.SHORT, - ) - - latest_long_summary, latest_short_summary = await asyncio.gather( - get_long_summary(), - get_short_summary(), + latest_long_summary, latest_short_summary = await summarizer.get_both_summaries( + db, + workspace_name=workspace_id, + session_name=session_id, ) + long_len = latest_long_summary["token_count"] if latest_long_summary else 0 + short_len = latest_short_summary["token_count"] if latest_short_summary else 0 + + # The goal is to return the longest summary that fits within the token limit + # Sometimes (rarely) the short summary can be longer than the long summary, + # so we need to check for that and return the longer one. + if ( latest_long_summary and latest_long_summary["token_count"] <= summary_tokens_limit + and long_len > short_len ): summary_content = latest_long_summary["content"] messages_tokens = token_limit - latest_long_summary["token_count"] elif ( latest_short_summary and latest_short_summary["token_count"] <= summary_tokens_limit + and short_len > 0 ): summary_content = latest_short_summary["content"] messages_tokens = token_limit - latest_short_summary["token_count"] else: + logger.warning( + "No summary available for get_context, returning empty string. long_summary_len: %s, short_summary_len: %s", + long_len, + short_len, + ) summary_content = "" # Get the recent messages to return verbatim diff --git a/src/utils/clients.py b/src/utils/clients.py index 5d946d77..7d0ea357 100644 --- a/src/utils/clients.py +++ b/src/utils/clients.py @@ -13,6 +13,7 @@ from anthropic import AsyncAnthropic from google import genai from groq import AsyncGroq from mirascope import llm +from mirascope.core import ResponseModelConfigDict from mirascope.integrations.langfuse import with_langfuse from mirascope.llm import Stream from openai import AsyncOpenAI @@ -318,6 +319,9 @@ def honcho_llm_call( if model: llm_kwargs["model"] = model if response_model: + # https://mirascope.com/docs/mirascope/learn/provider-specific/openai#response-models + if resolved_provider == "openai": + response_model.model_config = ResponseModelConfigDict(strict=True) llm_kwargs["response_model"] = response_model if json_mode: llm_kwargs["json_mode"] = json_mode diff --git a/src/utils/summarizer.py b/src/utils/summarizer.py index 587346f0..42c647fc 100644 --- a/src/utils/summarizer.py +++ b/src/utils/summarizer.py @@ -42,6 +42,7 @@ class Summary(TypedDict): # Export the public functions __all__ = [ "get_summary", + "get_both_summaries", "get_summarized_history", "SummaryType", "Summary", @@ -460,6 +461,32 @@ async def get_summary( return summaries[summary_type.value] +async def get_both_summaries( + db: AsyncSession, + workspace_name: str, + session_name: str, +) -> tuple[Summary | None, Summary | None]: + """ + Get both short and long summaries for a given session. + + Args: + db: Database session + workspace_name: The workspace name + session_name: The session name + + Returns: + A tuple of the short and long summaries, or None if no summary exists + """ + try: + session = await crud.get_session(db, session_name, workspace_name) + except ResourceNotFoundException: + # If session doesn't exist, there's no summary to retrieve + return None, None + + summaries: dict[str, Summary] = session.internal_metadata.get("summaries", {}) + return summaries.get(SummaryType.SHORT.value), summaries.get(SummaryType.LONG.value) + + def _format_messages(messages: list[models.Message]) -> str: """ Format a list of messages into a string by concatenating their content and diff --git a/tests/bench/README.md b/tests/bench/README.md index f0ca3e1f..52b047e0 100644 --- a/tests/bench/README.md +++ b/tests/bench/README.md @@ -56,8 +56,8 @@ python tests/bench/harness.py --project-root /path/to/honcho When you run the harness, it will start: 1. **PostgreSQL Database**: Running in Docker on the specified port -2. **FastAPI Server**: Available at http://localhost:8000 -3. **API Documentation**: Available at http://localhost:8000/docs +2. **FastAPI Server**: Available at +3. **API Documentation**: Available at 4. **Deriver Process**: Background worker for processing messages ## Configuration @@ -111,15 +111,17 @@ The `run_tests.py` script executes JSON-formatted tests against a running Honcho ### Running Tests 1. **Start Honcho using the harness**: + ```bash python tests/bench/harness.py ``` 2. **In another terminal, run the tests**: + ```bash # Run all tests python tests/bench/run_tests.py - + # Run a specific test # Test judge uses claude 3.5 sonnet python tests/bench/run_tests.py --test 1.json @@ -149,7 +151,7 @@ Tests are defined in JSON files with this structure: "content": "Hello, how are you?" }, { - "peer": "bob", + "peer": "bob", "content": "I'm good, thank you!" } ] @@ -170,6 +172,6 @@ Tests are defined in JSON files with this structure: - `--tests-dir`: Directory containing JSON test files (default: tests/bench/tests) - `--test`: Run a specific test file -- `--honcho-url`: URL of running Honcho instance (default: http://localhost:8000) +- `--honcho-url`: URL of running Honcho instance (default: ) - `--anthropic-api-key`: Anthropic API key for response judging, uses LLM_ANTHROPIC_API_KEY if not given -- `--timeout`: Timeout for deriver queue to empty (default: 60 seconds) \ No newline at end of file +- `--timeout`: Timeout for deriver queue to empty (default: 60 seconds) diff --git a/tests/bench/harness.py b/tests/bench/harness.py index 42ee1a43..9b373408 100755 --- a/tests/bench/harness.py +++ b/tests/bench/harness.py @@ -1,3 +1,4 @@ +#!/usr/bin/env -S uv run """ Honcho Development Harness @@ -424,12 +425,10 @@ try: def print_settings(obj, prefix="", max_depth=3, current_depth=0): if current_depth >= max_depth: return - if hasattr(obj, '__dict__'): for key, value in obj.__dict__.items(): if not key.startswith('_'): full_key = f"{{prefix}}.{{key}}" if prefix else key - # Handle nested settings objects if hasattr(value, '__dict__') and not isinstance(value, (str, int, float, bool, type(None))): print(f"\\n📋 {{full_key}}:") @@ -444,10 +443,10 @@ try: else: masked_value = value print(f" {{key}}: {{masked_value}}") - + # Print all settings print_settings(settings) - + except Exception as e: print(f"❌ Error importing settings: {{e}}") import traceback diff --git a/tests/bench/tests/3player.json b/tests/bench/tests/3player.json index c6907723..6ef5ebe2 100644 --- a/tests/bench/tests/3player.json +++ b/tests/bench/tests/3player.json @@ -48,4 +48,4 @@ "expected_response": "Disapproving" } ] -} \ No newline at end of file +} diff --git a/tests/bench/tests/summary_and_query.json b/tests/bench/tests/summary_and_query.json index 0f4fe9fd..32300f4b 100644 --- a/tests/bench/tests/summary_and_query.json +++ b/tests/bench/tests/summary_and_query.json @@ -219,4 +219,4 @@ "max_tokens": 2500 } ] -} \ No newline at end of file +} diff --git a/tests/bench/tests/summary_trivial.json b/tests/bench/tests/summary_trivial.json index 48906ff6..8f0d68e2 100644 --- a/tests/bench/tests/summary_trivial.json +++ b/tests/bench/tests/summary_trivial.json @@ -208,4 +208,4 @@ "max_tokens": 2500 } ] -} \ No newline at end of file +} diff --git a/tests/bench/tests/trivial.json b/tests/bench/tests/trivial.json index e883324f..f1e3018b 100644 --- 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