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name: optional-local-agent description: "Operate DeepXiv's optional OpenAI-compatible LangGraph ReAct Agent for local paper search, reading, and multi-turn analysis." disable-model-invocation: true metadata: disco-role: operating license: MIT

Optional local Agent

Use this route when the task needs DeepXiv's local ReAct loop with a caller-selected OpenAI-compatible chat model. It owns the deepxiv_sdk.Agent class, its optional dependency boundary, provider request options, paper-context persistence, tool orchestration, budgets, and failure recovery.

Do not use this route for hosted Reader.agent_search* calls or deepxiv agent ... CLI configuration/query syntax; route those to the Reader/CLI sibling skills.

Fast route

1. Run scripts/agent_dependency_probe.py before diagnosing an optional-install problem. It performs local import/spec checks only; it never calls an LLM or the paper service.
2. Install the optional set with python -m pip install "deepxiv-sdk[agent]" (or [all]). The published 1.0.0 extras declare openai, langgraph, and langchain-core, but do not declare tiktoken, although deepxiv_sdk.agent.agent imports it at module load. Install tiktoken explicitly when the probe reports it missing.
3. Construct Reader and pass it explicitly to Agent; reader is a required constructor argument in source. Supply the model API key to api_key, and use base_url for an OpenAI-compatible provider.
4. For reasoning models used across tool rounds, set enable_thinking=False (or pass an equivalent provider field through extra_body) when the provider rejects reasoning content in non-final assistant messages.
5. Keep max_llm_calls and max_time_seconds bounded. Preserve context across follow-up query calls unless reset_papers=True or reset_papers() is intentional.
6. Follow the load-first and progressive-reading protocol in references/tool-protocol.md; consult references/troubleshooting.md for missing papers versus service failures.

Operating rules

• The base package can expose Reader without the Agent. deepxiv_sdk.__init__ attempts the Agent import and silently omits Agent when an optional import raises ImportError; check dependencies rather than assuming the symbol exists.
• Never put a key, token, private endpoint, checkout path, or environment name in a public skill or example. Pass secrets at runtime.
• Treat add_paper() returning False as a recoverable missing/not-yet-indexed result. Do not treat it as proof that the ID is invalid forever; try a different ID or broader search. Genuine server/auth/rate-limit failures propagate from add_paper().
• A tool result describing a malformed argument, an unloaded paper, or a missing section is recoverable and must not by itself trip the service circuit breaker. Repeated service-side result markers do trip it and force a tools-less final-answer call.
• query() returns the graph's extracted answer, but catches graph exceptions and returns an Error: ... string. add_paper() has different behavior: expected not-found/bad-request cases return False, while genuine API failures propagate.

References

• references/api-reference.md — constructor, methods, provider fields, state and return contracts.
• references/workflows.md — bounded first query, persistent follow-up, manual preload, and reasoning-provider recipes.
• references/tool-protocol.md — exact tool order, load/read rules, caches, budgets, and breaker classification.
• references/troubleshooting.md — optional-import, provider, paper availability, and termination diagnostics.