feat: add DataFrame support as RLM context payload#134
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kmad wants to merge 7 commits intoalexzhang13:mainfrom
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feat: add DataFrame support as RLM context payload#134kmad wants to merge 7 commits intoalexzhang13:mainfrom
kmad wants to merge 7 commits intoalexzhang13:mainfrom
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Adds pandas DataFrame as a first-class context type for RLM. DataFrames are serialized via Parquet for type-preserving transfer to all environments (local, Docker, Modal, Prime, Daytona). Includes metadata generation for LLM prompts with shape, dtypes, nulls, and sample rows. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…Frames Consolidates the two identical `if cols > 20` blocks into one and applies the same column truncation to head/tail sample rows, preventing huge metadata strings for wide DataFrames. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Only install pandas and pyarrow in the Docker container when a DataFrame context is actually passed, avoiding the install overhead for string/dict contexts. Uses a lazy _ensure_pandas() method called from load_context. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move the top-level import of dataframe_utils in core/types.py into QueryMetadata.__init__ so the module is only loaded when actually constructing query metadata, not on every import of rlm.core.types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…egen Remove the unified build_context_code() which handled strings, dicts, and DataFrames with fragile escaping. Keep only build_dataframe_context_code() for DataFrame-specific Parquet-over-base64 codegen. Restore original per-environment string/dict handling in Modal, Prime, and Daytona REPLs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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