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Skald-Circle/crates
dguiducci cfaa7bace3
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feat(read_file): let capable models view images, video and PDFs
When the resolved model declares an input modality (vision → images,
video, document → PDFs), read_file now hands a binary media file back to
the model as native input instead of failing on non-UTF-8 bytes.

- ToolResult gains a Media { text, media } variant carrying MediaRef
  { host_path, mime }; the tool message keeps only the text note, the
  bytes travel out of band in a new additive chat_llm_tools.media column
  (mirrors preview_old/new).
- read_file sniffs the resolved host file; a recognized medium becomes a
  Media result (with a neutral note), everything else keeps the textual
  path. Capability gating lives in the message builder, so read_file
  never needs the model caps and degrades cleanly on a text-only model.
- MessageBuilder inlines current-turn tool media as a synthetic user
  message right after the tool-result group (media_turn_start boundary,
  so older turns are never re-billed), reusing media.rs primitives via a
  new inline_paths helper that contains against the caller's workspace
  roots. OpenAI forwards the parts verbatim; the Anthropic client now
  also translates the PDF `file` part into a native `document` block
  (image_url → image was already handled).
- read_file's description is annotated per serving model in
  call_llm_round, listing the formats it can open, so the model knows
  reading one shows it the content.

Tests: media sniff (PDF), PDF file-part build, inline_paths containment
+ capability gating, capability hint, read_file media-vs-text, Anthropic
file→document, and the owner-schema-stands-alone check with the new
column.
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