LM Studio: delegate streaming to the inner OpenAI client.
LoggingChatbotClient: extract shared log_and_return helper, add
streaming override so deltas are forwarded and metadata still logged.
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.
Adds media.rs for per-turn attachment routing, message_builder
partitioning by resolved model capabilities, controller endpoints
for uploads, and server routing for /data/* behind session auth.
See CLAUDE.md §Multimodal attachments for full design.
dguiducci