deepagents-python-quickstart

Deep Agents Python quickstart Follow the live docs — do not invent an alternate API from memory: https://docs.langchain.com/oss/python/deepagents/quickstart Fetch that page (Docs MCP or HTTP) and implement the research-agent shape it shows ( create_deep_agent , research system prompt, invoke with a research question like “What is LangGraph?”). Local setup constraints Apply these on top of the quickstart (they keep setup minimal and model-agnostic): Ask which provider/model to use. Showcase that Deep Agents are model-agnostic. Suggested prompt: Which model should this agent use? Pass a provider:model string — e.g. openai:gpt-5.5 , anthropic:claude-sonnet-5 , google_genai:gemini-3.5-flash . Default if you're unsure: anthropic:claude-sonnet-5 . We'll use that provider's built-in web search (no separate search API key). Create a new directory (e.g. deep-agent/ ) and do all work there — do not pollute the open project. Show more Installs 910 Repository langchain-ai/la…n-skills GitHub Stars 1.1K First Seen Jul 23, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn