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{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\AppData\\Local\\Programs\\auto-claude-ui\\resources\\backend","sessionId":"705a69b2-d19e-464a-96f6-f37af29e53b9","version":"2.1.5","gitBranch":"","type":"user","message":{"role":"user","content":"Summarize the key findings from the \"research\" phase in 500 words or less.\n\nFocus on extracting ONLY the most critical information that subsequent phases need:\n- Key decisions made and their rationale\n- Critical files, components, or patterns identified\n- Important constraints or requirements discovered\n- Actionable insights for implementation\n\nBe concise and use bullet points. Skip boilerplate and meta-commentary.\n\n## Phase Output:\n**research.json**:\n```\n{\n  \"integrations_researched\": [\n    {\n      \"name\": \"Anthropic Claude SDK\",\n      \"type\": \"library\",\n      \"verified_package\": {\n        \"name\": \"anthropic\",\n        \"install_command\": \"pip install anthropic\",\n        \"version\": \"latest (Nov 2025)\",\n        \"python_requires\": \">=3.9\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"from anthropic import Anthropic\",\n          \"from anthropic import AsyncAnthropic\"\n        ],\n        \"initialization\": \"client = Anthropic()  # Uses ANTHROPIC_API_KEY env var\",\n        \"key_functions\": [\n          \"client.messages.create(model, messages, max_tokens)\",\n          \"await async_client.messages.create(...)\"\n        ],\n        \"verified_against\": \"PyPI + GitHub anthropics/anthropic-sdk-python\"\n      },\n      \"configuration\": {\n        \"env_vars\": [\"ANTHROPIC_API_KEY\"],\n        \"config_files\": [],\n        \"dependencies\": [\"httpx\"]\n      },\n      \"extras\": {\n        \"bedrock\": \"pip install anthropic[bedrock]\",\n        \"vertex\": \"pip install anthropic[vertex]\"\n      },\n      \"gotchas\": [\n        \"Supports both sync and async clients via Anthropic() and AsyncAnthropic()\",\n        \"Context manager support for automatic HTTP client cleanup\",\n        \"Type definitions for all request/response fields\"\n      ],\n      \"research_sources\": [\n        \"https://pypi.org/project/anthropic/\",\n        \"https://github.com/anthropics/anthropic-sdk-python\",\n        \"https://platform.claude.com/docs/en/api/client-sdks\"\n      ]\n    },\n    {\n      \"name\": \"Google Gemini SDK\",\n      \"type\": \"library\",\n      \"verified_package\": {\n        \"name\": \"google-genai\",\n        \"install_command\": \"pip install google-genai\",\n        \"version\": \"GA (May 2025)\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"from google import genai\"\n        ],\n        \"initialization\": \"client = genai.Client(api_key='GEMINI_API_KEY')  # or uses GEMINI_API_KEY env var\",\n        \"key_functions\": [\n          \"client.models.generate_content(model, contents)\",\n          \"client.models.generate_content_stream(...)\"\n        ],\n        \"verified_against\": \"Google AI for Developers docs\"\n      },\n      \"configuration\": {\n        \"env_vars\": [\"GEMINI_API_KEY\"],\n        \"config_files\": [],\n        \"dependencies\": []\n      },\n      \"extras\": {\n        \"async\": \"pip install google-genai[aiohttp]\"\n      },\n      \"gotchas\": [\n        \"CRITICAL: google-generativeai package is DEPRECATED (EOL Nov 30, 2025)\",\n        \"Must use new google-genai package for all new development\",\n        \"Supports both Gemini Developer API and Vertex AI APIs\",\n        \"LLMs may generate code for deprecated library - always use google-genai\"\n      ],\n      \"research_sources\": [\n        \"https://pypi.org/project/google-generativeai/\",\n        \"https://ai.google.dev/gemini-api/docs/libraries\",\n        \"https://github.com/googleapis/python-genai\"\n      ]\n    },\n    {\n      \"name\": \"xAI Grok SDK\",\n      \"type\": \"library\",\n      \"verified_package\": {\n        \"name\": \"xai-sdk\",\n        \"install_command\": \"pip install xai-sdk\",\n        \"version\": \"latest\",\n        \"python_requires\": \">=3.10\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"from xai_sdk import Client\",\n          \"from xai_sdk import AsyncClient\"\n        ],\n        \"initialization\": \"client = Client()  # Uses XAI_API_KEY env var\",\n        \"key_functions\": [\n          \"client.chat(...)\",\n          \"client.generate(...)\",\n          \"await async_client.chat(...)\"\n        ],\n        \"verified_against\": \"GitHub xai-org/xai-sdk-python + PyPI\"\n      },\n      \"configuration\": {\n        \"env_vars\": [\"XAI_API_KEY\"],\n        \"config_files\": [],\n        \"base_url\": \"https://api.x.ai/v1\"\n      },\n      \"extras\": {\n        \"telemetry_http\": \"pip install xai-sdk[telemetry-http]\",\n        \"telemetry_grpc\": \"pip install xai-sdk[telemetry-grpc]\"\n      },\n      \"gotchas\": [\n        \"gRPC-based Python library\",\n        \"Supports both sync and async clients\",\n        \"Agentic tool calling with web search, X search, and code execution\",\n        \"Multiple community SDKs exist (xai-grok, xai-grok-sdk) - use official xai-sdk\"\n      ],\n      \"research_sources\": [\n        \"https://github.com/xai-org/xai-sdk-python\",\n        \"https://pypi.org/project/xai-sdk/\",\n        \"https://docs.x.ai/docs/tutorial\"\n      ]\n    },\n    {\n      \"name\": \"Ollama Python\",\n      \"type\": \"library\",\n      \"verified_package\": {\n        \"name\": \"ollama\",\n        \"install_command\": \"pip install ollama\",\n        \"version\": \"latest (Nov 2025)\",\n        \"python_requires\": \">=3.8\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"import ollama\",\n          \"from ollama import Client\",\n          \"from ollama import AsyncClient\"\n        ],\n        \"initialization\": \"client = Client(host='http://localhost:11434')\",\n        \"key_functions\": [\n          \"ollama.chat(model, messages)\",\n          \"ollama.generate(model, prompt)\",\n          \"await AsyncClient().chat(model, messages, stream=True)\"\n        ],\n        \"verified_against\": \"GitHub ollama/ollama-python\"\n      },\n      \"configuration\": {\n        \"env_vars\": [],\n        \"config_files\": [],\n        \"host\": \"http://localhost:11434 (default)\"\n      },\n      \"infrastructure\": {\n        \"requires_docker\": false,\n        \"requires_ollama_server\": true,\n        \"install_ollama\": \"https://ollama.com/download\"\n      },\n      \"gotchas\": [\n        \"Ollama server must be running separately before using Python client\",\n        \"Pull models first with 'ollama pull <model>' e.g., 'ollama pull gemma3'\",\n        \"Supports streaming with stream=True parameter\",\n        \"Custom client with headers: Client(host=..., headers={...})\",\n        \"Now supports streaming with MCP tool calling\"\n      ],\n      \"research_sources\": [\n        \"https://github.com/ollama/ollama-python\",\n        \"https://pypi.org/project/ollama/\",\n        \"https://ollama.com/blog/streaming-tool\"\n      ]\n    },\n    {\n      \"name\": \"FastAPI\",\n      \"type\": \"framework\",\n      \"verified_package\": {\n        \"name\": \"fastapi\",\n        \"install_command\": \"pip install \\\"fastapi[standard]\\\"\",\n        \"version\": \"0.115.0+\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"from fastapi import FastAPI\",\n          \"from fastapi import Depends, HTTPException\",\n          \"from pydantic import BaseModel\"\n        ],\n        \"initialization\": \"app = FastAPI()\",\n        \"key_functions\": [\n          \"@app.get('/path')\",\n          \"@app.post('/path')\",\n          \"async def endpoint(): ...\",\n          \"Depends() for dependency injection\"\n        ],\n        \"verified_against\": \"Official FastAPI docs\"\n      },\n      \"configuration\": {\n        \"env_vars\": [],\n        \"config_files\": [],\n        \"dependencies\": [\"uvicorn\", \"pydantic\", \"starlette\"]\n      },\n      \"infrastructure\": {\n        \"run_command\": \"uvicorn main:app --reload\",\n        \"default_port\": 8000\n      },\n      \"gotchas\": [\n        \"Use fastapi[standard] to get uvicorn and other standard dependencies\",\n        \"ASGI server (uvicorn) required to run the app\",\n        \"Built on Starlette (web) + Pydantic (data validation)\",\n        \"Automatic OpenAPI/Swagger docs at /docs and /redoc\",\n        \"--reload flag for development only\"\n      ],\n      \"research_sources\": [\n        \"https://pypi.org/project/fastapi/\",\n        \"https://fastapi.tiangolo.com/\",\n        \"https://fastapi.tiangolo.com/tutorial/\"\n      ]\n    },\n    {\n      \"name\": \"React with TypeScript (Vite)\",\n      \"type\": \"framework\",\n      \"verified_package\": {\n        \"name\": \"vite + react + typescript\",\n        \"install_command\": \"npm create vite@latest my-app -- --template react-ts\",\n        \"version\": \"Vite 6.3.2+ (latest)\",\n        \"node_requires\": \">=18\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"import React from 'react'\",\n          \"import { useState, useEffect } from 'react'\"\n        ],\n        \"project_structure\": \"index.html at root, src/ with main.tsx entry\",\n        \"key_features\": [\n          \"Hot Module Replacement (HMR)\",\n          \"Native ES modules in development\",\n          \"TypeScript support out of box\"\n        ],\n        \"verified_against\": \"Vite official guide\"\n      },\n      \"configuration\": {\n        \"config_files\": [\"vite.config.ts\", \"tsconfig.json\"],\n        \"commands\": {\n          \"dev\": \"npm run dev\",\n          \"build\": \"npm run build\",\n          \"preview\": \"npm run preview\"\n        }\n      },\n      \"infrastructure\": {\n        \"dev_server\": \"http://localhost:5173\",\n        \"build_output\": \"dist/\"\n      },\n      \"gotchas\": [\n        \"Node.js >= v18 required\",\n        \"Available templates: react-ts, react-swc-ts (faster builds)\",\n        \"For testing: npm install -D vitest @testing-library/react\",\n        \"HMR provides instant updates without page refresh\"\n      ],\n      \"research_sources\": [\n        \"https://vite.dev/guide/\",\n        \"https://blog.logrocket.com/how-to-build-react-typescript-app-vite/\"\n      ]\n    },\n    {\n      \"name\": \"MCP Python SDK\",\n      \"type\": \"library\",\n      \"verified_package\": {\n        \"name\": \"mcp\",\n        \"install_command\": \"pip install mcp\",\n        \"version\": \"1.25.0+ (v2 coming Q1)\",\n        \"python_requires\": \">=3.10\",\n        \"verified\": true\n      },\n      \"api_patterns\": {\n        \"imports\": [\n          \"from mcp.server.fastmcp import FastMCP\",\n          \"from mcp.client import Client\"\n        ],\n        \"initialization\": \"mcp = FastMCP('server-name')\",\n        \"key_concepts\": [\n          \"Resources - like GET endpoints for data\",\n          \"Tools - like POST endpoints for actions\",\n          \"Prompts - reusable templates for LLM interactions\"\n        ],\n        \"verified_against\": \"GitHub modelcontextprotocol/python-sdk\"\n      },\n      \"configuration\": {\n        \"env_vars\": [],\n        \"config_files\": [],\n        \"transport_options\": [\"stdio\", \"SSE\n\n[... file truncated ...]\n```\n\n## Summary:\n"},"uuid":"236da494-b37e-48d3-84bf-c26f75226b03","timestamp":"2026-01-12T18:50:19.471Z"}
{"parentUuid":"236da494-b37e-48d3-84bf-c26f75226b03","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\AppData\\Local\\Programs\\auto-claude-ui\\resources\\backend","sessionId":"705a69b2-d19e-464a-96f6-f37af29e53b9","version":"2.1.5","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_016Rt7oBhLNtpFVL5duJDS92","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user is asking me to summarize the key findings from a research phase output. They want a concise summary (500 words or less) focused on:\n- Key decisions made and their rationale\n- Critical files, components, or patterns identified\n- Important constraints or requirements discovered\n- Actionable insights for implementation\n\nThe research phase appears to be about investigating various LLM SDKs, frameworks, and the MCP (Model Context Protocol) Python SDK.\n\nLet me extract the most critical information:\n\n1. **Anthropic Claude SDK**: Standard package, uses env vars, supports sync/async\n2. **Google Gemini SDK**: CRITICAL - must use google-genai (not google-generativeai which is deprecated)\n3. **xAI Grok SDK**: Official package is xai-sdk, gRPC-based\n4. **Ollama**: Requires separate server running, must pull models first\n5. **FastAPI**: Use fastapi[standard] for all dependencies\n6. **React + TypeScript + Vite**: Modern setup, Node >= 18 required\n7. **MCP Python SDK**: Key concepts are Resources, Tools, Prompts\n\nI need to focus on actionable insights and critical gotchas that would affect implementation.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":5329,"cache_read_input_tokens":13209,"cache_creation":{"ephemeral_5m_input_tokens":5329,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX3z9Wpbn8rBDrHN7JUsX","type":"assistant","uuid":"5c7f9aa3-23b4-4ee6-911d-ee96a4ccb0ac","timestamp":"2026-01-12T18:50:26.102Z"}
{"parentUuid":"5c7f9aa3-23b4-4ee6-911d-ee96a4ccb0ac","isSidechain":false,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\AppData\\Local\\Programs\\auto-claude-ui\\resources\\backend","sessionId":"705a69b2-d19e-464a-96f6-f37af29e53b9","version":"2.1.5","gitBranch":"","message":{"model":"claude-sonnet-4-5-20250929","id":"msg_016Rt7oBhLNtpFVL5duJDS92","type":"message","role":"assistant","content":[{"type":"text","text":"# Research Phase Summary\n\n## Critical Decisions & Package Choices\n\n**LLM SDKs Verified:**\n- **Anthropic Claude**: `pip install anthropic` - supports sync/async clients via `Anthropic()` and `AsyncAnthropic()`\n- **Google Gemini**: `pip install google-genai` ⚠️ **CRITICAL**: Old `google-generativeai` package is DEPRECATED (EOL Nov 30, 2025) - must use new `google-genai` for all development\n- **xAI Grok**: `pip install xai-sdk` (official package, not community alternatives like `xai-grok` or `xai-grok-sdk`)\n- **Ollama**: `pip install ollama` - requires separate Ollama server running locally\n\n**Frameworks:**\n- **Backend**: FastAPI - use `pip install \"fastapi[standard]\"` to get uvicorn + dependencies bundled\n- **Frontend**: Vite + React + TypeScript - `npm create vite@latest -- --template react-ts`\n- **MCP**: `pip install mcp` (v1.25.0+, v2 coming Q1)\n\n## Critical Constraints & Requirements\n\n**Python Requirements:**\n- Python >= 3.10 (MCP SDK and xAI require this)\n- Python >= 3.9 (Anthropic)\n- Python >= 3.8 (Ollama)\n\n**Node Requirements:**\n- Node.js >= 18 (Vite)\n\n**Infrastructure Dependencies:**\n- **Ollama**: Separate Ollama server must be running (default: http://localhost:11434) + models must be pre-pulled with `ollama pull <model>`\n- **FastAPI**: Requires ASGI server (uvicorn) - run with `uvicorn main:app --reload`\n- **Vite**: Dev server runs on http://localhost:5173\n\n## Key API Patterns Identified\n\n**Authentication:**\n- All LLM SDKs use environment variables: `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`, `XAI_API_KEY`\n- Clients auto-detect env vars: `client = Anthropic()` or explicit: `Client(api_key='...')`\n\n**Common Patterns:**\n- All support both sync and async clients\n- Context manager support for cleanup\n- Streaming with `stream=True` parameter\n\n**MCP Core Concepts:**\n- **Resources**: GET-like endpoints for data access\n- **Tools**: POST-like endpoints for actions\n- **Prompts**: Reusable LLM interaction templates\n- Transport options: stdio, SSE (Server-Sent Events)\n\n## Critical Gotchas & Actionable Insights\n\n1. **Google Gemini Migration Risk**: LLMs may generate code using deprecated `google-generativeai` - always use `google-genai`\n\n2. **Ollama Workflow**:\n   - Start server first: `ollama serve`\n   - Pull models: `ollama pull gemma3`\n   - Then use Python client\n\n3. **FastAPI Setup**: Use `[standard]` extra to avoid missing uvicorn dependency\n\n4. **xAI SDK**: gRPC-based, supports agentic tool calling with web search, X search, code execution\n\n5. **Ollama Streaming**: Now supports streaming with MCP tool calling (recent update)\n\n6. **Vite Templates**: `react-swc-ts` available for faster builds vs standard `react-ts`\n\n7. **FastAPI Dev**: Use `--reload` flag for development only, not production\n\n## Implementation Recommendations\n\n- Use async clients for all LLM SDKs to enable concurrent operations\n- FastAPI automatic OpenAPI docs available at `/docs` and `/redoc`\n- Vite HMR provides instant updates without page refresh\n- All verified packages have type definitions for better IDE support"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":9,"cache_creation_input_tokens":5329,"cache_read_input_tokens":13209,"cache_creation":{"ephemeral_5m_input_tokens":5329,"ephemeral_1h_input_tokens":0},"output_tokens":1196,"service_tier":"standard"}},"requestId":"req_011CX3z9Wpbn8rBDrHN7JUsX","type":"assistant","uuid":"fe307ec5-f219-4206-8702-f59d216f6a3f","timestamp":"2026-01-12T18:50:41.646Z"}