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classic-chains

classic-chains

Maintain and migrate langchain-classic legacy chains, retrievers, document loaders, memory, indexes, classic agents, evaluation, and callbacks. Use for compatibility fixes in libs/langchain-style classic APIs; route new v1 agent work elsewhere.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: classic-chains description: "Maintain and migrate langchain-classic legacy chains, retrievers, document loaders, memory, indexes, classic agents, evaluation, and callbacks. Use for compatibility fixes in libs/langchain-style classic APIs; route new v1 agent work elsewhere." disable-model-invocation: true metadata: disco-role: operating license: MIT

Classic Chains

When to Use

Use this sub-skill when the task is about langchain-classic legacy workflows: classic Chain subclasses, retrieval QA, conversational retrieval, document loaders and transformers, memory classes, indexes, classic agents, evaluation chains, callbacks, or compatibility-preserving maintenance.

Do not use this sub-skill for new v1 agent APIs, middleware, or graph/checkpoint design; route those to ../agents-and-middleware/SKILL.md. For shared primitives such as Document, BaseRetriever, runnables, callbacks interfaces, messages, prompts, or vector store base contracts, route to ../core-primitives/SKILL.md.

Legacy Policy

langchain-classic is the legacy package. Prefer maintenance, bug fixes, import compatibility, deprecation cleanup, and migration guidance over adding new classic-only features. Preserve public signatures and behavior unless the user explicitly asks for migration and the replacement is validated.

Reference Map

Practical Workflow

  1. Classify the request as maintenance, compatibility, migration, or new feature. Decline or reroute new classic-only feature work unless it is needed for compatibility.
  2. Locate the affected classic area: chains, agents, retrievers, document loaders/transformers, memory, indexes, evaluation, callbacks, or schema compatibility.
  3. Check whether the symbol is owned by langchain_classic, dynamically re-exported from langchain_community, or shared from langchain_core.
  4. Preserve public constructor and method signatures. Add keyword-only parameters only when unavoidable, and cover behavior with deterministic unit tests.
  5. Prefer package-local validation from the classic package directory, for example uv run --group test pytest tests/unit_tests/chains/test_conversation_retrieval.py, when uv and dependencies are available.
  6. If the task is migration-oriented, produce v1/core-equivalent code paths while preserving behavior with tests around inputs, outputs, memory variables, callbacks, and returned documents.

Validation Signals

  • Unit tests pass for the nearest tests/unit_tests/... file or directory.
  • Import smoke checks pass for touched public modules in an installed package.
  • Deprecation warnings remain intentional and point users toward the modern package or API.
  • Chain input_keys, output_keys, memory variables, callback propagation, and async/sync behavior remain backward compatible.

Skip Conditions

Skip network-heavy integration tests, provider API calls, vector database services, browser automation, and credential-dependent loaders unless the user explicitly supplies safe credentials and asks for those checks. If uv is unavailable, record that package-local tests were skipped and rely on static inspection plus the safe smoke script when a usable Python interpreter already has the packages installed.

Gespeicherte Skills