4 Commits

Include renames

Author	SHA1	Message	Date
dguiducci	5081ec2afe	llm: drop model/agent scope matching; add instance-wide compaction model picker ... Remove the scope system end-to-end (llm_models.scope column, agent meta scope field, scope-based tier in model selection, UI checkboxes/pills): it was only a soft ranking hint, had drifted (6 UI scopes vs 3 used by agents, 'general' not even selectable) and duplicated what strength already decides. Strength stays the single AUTO-selection axis. Compaction: the summary model is now pickable from the Settings page via a new PropertyType::LlmModel config property (registry key compaction_model), instance-wide and live (no restart). Fallback chain: explicit pick -> compaction.strength from config.yml -> priority order; a deleted configured model degrades to AUTO. ContextCompactor reads the key at compact time through GlobalConfigManager.	2026-07-25 10:48:09 +01:00
dguiducci	d1d0a2af26	llm: add dynamic tool loading (DTL) — Kimi system-tools + Anthropic tool-reference ... 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.	2026-07-24 20:48:04 +01:00
dguiducci	760dae06e5	feat(providers): Moonshot AI provider + extract shared OpenAI-compat helpers ... - Add MoonshotProvider and MoonshotCodeProvider (OpenAI-compatible) - Extract `fetch_openai_models()` and `build_openai_llm()` shared functions, deduplicating model-listing and client construction across OpenAI, OpenRouter, DeepSeek, LM Studio, and Z.AI providers - Add `lists_models` field to `ProviderUiMeta` — drives frontend model picker dynamically instead of hardcoded `type_id` list - Port DeepSeek, LM Studio, OpenRouter model listing to `fetch_openai_models` - Set `lists_models: true` on Z.AI provider (missed in prior pass) feat(mcp): named key placeholders {SECRET:name}/{ENV:name} in connector URLs - `apply_key_placeholder` now accepts an `env` map alongside `api_key` - Named tokens resolve from the connector's described `env[]` fields, with `{SECRET:name}` falling back to `api_key` for backward compat - Replace `substitute_secret_tokens` with `substitute_named_tokens` - Unresolved tokens are left in place (visible misconfig) rather than silently producing a wrong URL fix(ui): connector detail hides generic API key when schema has secret fix(ui): model picker uses `lists_models` from provider types endpoint	2026-07-18 15:41:53 +01:00
dguiducci	38494a85a9	First Version	2026-07-10 15:02:09 +01:00