mirror of
https://github.com/langchain-ai/deepagentsjs.git
synced 2026-07-21 03:45:22 -04:00
8efde93792
## Problem Addresses #658. When using weaker or custom LLMs (e.g., smaller open-source models) in `deepagents` and consumers like `openwiki`, the agent immediately crashes with a schema validation error on the first filesystem tool call: This occurs because: 1. `ls` defines its directory argument as `path`, but `read_file`, `write_file`, and `edit_file` expect `file_path`. Models often default to `path` across all filesystem tools. 2. The description prompt examples in `fs.ts` and `skills.ts` show `read_file(path, ...)`, instructing models to use the wrong parameter name. ## Proposed Changes This PR solves both prompt inconsistencies and schema validation failures with a fully backward-compatible input normalization helper: 1. **Prompt Alignment**: Fixed references in `fs.ts` and `skills.ts` to instruct the model to use `file_path` (aligned with the prompt fixes in #644). 2. **Schema Input Normalization**: Added a `normalizeFilePathInput` preprocessor helper to the `read_file`, `write_file`, and `edit_file` Zod schemas using `z.preprocess`. This dynamically maps the `path` key to `file_path` if the model still passes `path`. ## Verification & Tests - Added unit tests in `fs.test.ts` to assert that: - `path` parameter normalization maps correctly to `file_path` for `read_file`, `write_file`, and `edit_file`. - All instruction examples contain only valid schema fields. - Verified that `zod-to-json-schema` unwraps the `z.preprocess` layer perfectly, preserving the original schema descriptions and definitions sent to the LLM. - Ran all filesystem tests successfully (`npx vitest run src/middleware/fs.test.ts` passes).