Replace the old session_mcp_grants/stack_mcp_grants table pair with
a single activated_tools table that anchors each activation at the
assistant message_id that triggered it. The durable write moves from
the activate_tools tool itself to the round loop (handle_tool_call),
which has the message_id the DTL serializer positions injected tool
blocks against.
Introduce DtlMode (None / AnthropicToolReference / KimiSystemTools),
resolved per model from capabilities (opt-in via tool_search)
combined with the provider's dtl_format(). The message builder inserts
Kimi system {tools} blocks at the activation position, or emits
Anthropic tool_reference markers on the tool result. The tool-def
surface (all_tool_defs) switches shape: Anthropic declares everything
deferred; Kimi omits activated tools from the top-level array (system
takes over); None keeps the old grant-set logic.
Anthropic client: accept structured system arrays (cache_control on
the static block when DTL is active), carry defer_loading through
conversion, emit tool_reference blocks on result messages. Prompt
caching enabled exactly when DTL is active (anthropic provider).
MCP server list in the prompt is now a static catalogue (not split
Available/Active) — the split invalidated the cache on every activation.
Groundwork for providers.yaml dtl: key; Moonshot/Kimi providers wired
with kimi_system_tools and the k3* enrich now adds tool_search.
Compactor re-anchors activations whose message was compacted away.
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