ob-labs/agentseek
LangChain / LangGraph engineering pitfalls and verified fixes.
npx skills add ob-labs/agentseek --skill langchain-dev-guide
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npx skills add ob-labs/agentseek
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main
Files included with this skill beyond the listing page.
SKILL.md
7,407 B
SUMMARY.md
452 B
A systematic summary of typical issues, non-obvious behaviors, and verified solutions encountered in real engineering with the LangChain / LangGraph ecosystem. Every entry comes from a real development scenario and is organized by category.
[!IMPORTANT]
This skill is an engineering practice reference, not an introductory tutorial. Each entry assumes the developer is already familiar with basic LangChain concepts (agent, tool, message, graph).
| Category | File | Trigger Scenarios |
|---|---|---|
| Deep Agents | [reference/deepagents.md](reference/deepagents.md) | Model selection, filesystem backend, disabling the general-purpose sub-agent, file permissions, long-term memory, long SKILL.md truncated by read_file 100-line default |
| Structured Output | [reference/structured-output.md](reference/structured-output.md) | Model-level method selection, createagent strategies, missing fields, unsupported toolchoice, provider-side 400 errors on forced schema tool selection |
| OpenAI-compatible Model Integration | [reference/model-integration.md](reference/model-integration.md) | Pitfalls when using ChatOpenAI against OpenAI-compatible providers, integrating Reasoning models (chain-of-thought / reasoning_content) |
| CN Model Integration | [reference/cn-models/README.md](reference/cn-models/README.md) | Generating LangChain integration classes for Chinese providers (DeepSeek, Qwen, GLM, Moonshot) |
| Middleware | [reference/middleware.md](reference/middleware.md) | Middleware execution order, stateschema merging, HITL resume values, modifying state from wrapmodel_call |
| Streaming Output | [reference/streaming.md](reference/streaming.md) | Choosing between stream_events and stream, distinguishing tokens from multiple LLMs, disabling streaming, custom progress events |
| Multi-Agent Orchestration | [reference/multi-agent.md](reference/multi-agent.md) | subagents vs handoffs, tool-per-agent vs dispatch, retrieving subagent state, trimming subagent boilerplate, quickly building handoff setups |
| Other Common Issues | [reference/common-issues.md](reference/common-issues.md) | High-frequency standalone issues that don't fit the categories above. Currently includes: tools returning data to both the model and the application layer, MCP tools unable to access runtime context, invalidtoolcalls, and dynamic system prompt placeholders |
| ContextSeek — Use Case Scenarios | [reference/contextseek-middleware.md](reference/contextseek-middleware.md) | Agent loses context across sessions, tool call auditing, cross-topic knowledge discovery (dream), SRE provenance / confidence tracing, enterprise knowledge cold-start (DataPlug) |
| ContextSeek — Parameter & Config Issues | [reference/contextseek-params.md](reference/contextseek-params.md) | scope isolation, autostore / recordtoolcalls write volume, autocompact throttling and shutdown, retrievaltags / minscore filtering, toolargoverrides, dream trigger conditions, dream item decay, evidencechain vs chainconfidence, DataPlug vs ctx.add(), plug() scope priority, auto_dream dual-gate triggering |
| Keyword / Error | Where to Look |
|---|---|
| Which model to choose / Deep Agent performing poorly | deepagents issue 1 |
| Filesystem backend / local files / file permissions | deepagents issues 2 / 4 |
| Disabling the default sub-agent / general-purpose | deepagents issue 3 |
| Long-term memory / store | deepagents issue 5 |
SKILL.md truncated / only first 100 lines read / read_file limit / progressive disclosure |
deepagents issue 6 |
withstructuredoutput returning None / missing fields |
structured-output issue 1 |
createagent / responseformat / ProviderStrategy / ToolStrategy |
structured-output issue 1 |
withstructuredoutput / functioncalling / toolchoice unsupported / deepseek-reasoner does not support this tool_choice |
structured-output issue 2 |
OpenAI-compatible model / ChatOpenAI not working |
model-integration issue 1 |
Reasoning model / reasoning_content / chain-of-thought lost |
model-integration issue 2 |
| Chinese model / CN provider / DeepSeek / Qwen / GLM / Moonshot | cn-models README |
langchain-cn-models (embedded) / generate integration class |
cn-models README |
| Middleware order messed up / before/after counterintuitive | middleware issue 1 |
state_schema fields not merged / input/output control |
middleware issue 2 |
interrupt resume value missing / HITL |
middleware issue 3 |
Modifying state inside wrapmodelcall has no effect |
middleware issue 4 |
Choosing between astream_events and astream for streaming |
streaming issue 1 |
| Distinguishing token sources across multiple LLMs | streaming issue 2 |
| Disabling streaming for a specific model | streaming issue 3 |
| Custom events from inside a tool not being emitted | streaming issue 4 |
| Multi-agent: subagents vs handoffs | multi-agent issue 1 |
| Single dispatch tool vs one tool per agent | multi-agent issue 2 |
interrupt can't see subagent state |
multi-agent issue 3 |
| Too much subagent wrapper boilerplate | multi-agent issue 4 |
| Quickly building a handoff-based multi-agent setup | multi-agent issue 5 |
Tool returning data to both the model and the app layer / artifact / Command(update=...) |
common-issues issue 1 |
MCP tool can't access user_id / store / state / API key |
common-issues issue 2 |
invalidtoolcalls / tool never executes / malformed tool-call JSON |
common-issues issue 3 |
Dynamic system prompt placeholders / format_prompt / Jinja2 prompt variables |
common-issues issue 4 |
| Agent loses context across sessions — personal assistant or support bot | contextseek-middleware issue 1 |
| Multi-tool data-pipeline agent — auditing tool call decisions | contextseek-middleware issue 2 |
| Research agent accumulates raw notes — cross-topic pattern discovery | contextseek-middleware issue 3 |
| SRE incident postmortem agent — tracing knowledge confidence and conflicts | contextseek-middleware issue 4 |
| Enterprise knowledge migration — agent is retrieval-ready on day one | contextseek-middleware issue 5 |