Data collection:
- Restructure digest_collect output into priority-ordered sections
(HEALTH > MESSAGES > CALENDAR > MUSIC) with human-readable formatting
- Extract key metrics from Oura (HR, HRV, sleep duration, scores)
- Format Gmail as sender + subject + time ago
- Group music tracks into single lines per source
- Cap 15 items per source, truncate content to 500 chars
Calendar:
- Pass `since` parameter to Google Calendar API as `timeMin`
- Default to 24h lookback instead of dumping all-time events
Gmail:
- Re-enable gmail connector registration in __init__.py
Prompt:
- Add section summary + closing encouragement to Jarvis persona
- Reinforce no-markdown, no-hallucination rules in user message
- Strip markdown artifacts before sending to TTS
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Full morning digest system:
- MorningDigestAgent, DigestStore, digest_collect tool, TTS backends
- Connectors: Oura, Strava, Spotify, Google Tasks, Apple Health, Apple Music
- CLI `jarvis digest` command + FastAPI /api/digest endpoints
- Cartesia, Kokoro, OpenAI TTS backends with persona prompts
Unified OAuth setup across all surfaces:
- Generic OAuthProvider registry for Google, Strava, Spotify
- CLI auto-opens browser + catches callback (no more paste-code)
- Server /oauth/start + /oauth/callback endpoints for desktop/browser
- Frontend OAuthPanel with popup + polling
Apple connectors:
- Apple Health reads from HealthKit DB or iPhone export XML
- Apple Music queries Music.app via AppleScript
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- test_deep_research_prompt.py (8 tests): date injection, time, day of week,
dynamic generation, response types, tool descriptions, /no_think, Jarvis name
- test_slack_messaging.py (7 tests): connect with/without tokens, error state,
disconnect, handler registration, send without token
- test_connector_health.py (44 tests): all 11 connectors instantiate, have
required methods, report not-connected without creds, have metadata.
Plus KnowledgeStore data presence checks.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Resolve tool names from config["tools"] into actual tool instances
using ToolRegistry, inject runtime deps, and pass them to the agent
constructor instead of hardcoded tools=[].
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Merge main into fix/ssrf-check, keeping both the auto-recover
logic for error-state agents and the async streaming support
for the send_message endpoint.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds tests/agents/test_channel_agent_integration.py covering the full
stack from KnowledgeStore + IngestionPipeline through TwoStageRetriever,
KnowledgeSearchTool, and DeepResearchAgent into ChannelAgent/FakeChannel:
- test_quick_query_inline_response: asserts inline reply with meeting info
and no openjarvis:// escalation link
- test_deep_query_escalation_link: asserts openjarvis:// link is present
when engine issues a tool call and returns a long report
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds classify_query() heuristic (quick vs deep) and ChannelAgent that
bridges BaseChannel messages to any agent, delivering inline replies for
quick/short responses and preview+openjarvis:// escalation links for deep
or long responses. 18 tests cover classifier cases and agent behaviour
including non-blocking handler and error recovery.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tests the full path from multi-source Document ingestion through
IngestionPipeline -> KnowledgeStore -> TwoStageRetriever ->
KnowledgeSearchTool -> DeepResearchAgent to a cited report, and
verifies cross-platform retrieval returns results from >= 2 sources.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Multi-hop research agent that uses native function calling (OpenAI
tool_calls format) to search personal data across sources via
KnowledgeSearchTool, cross-references results, and produces narrative
answers with inline source citations.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add optional prompt_builder parameter to BaseAgent. When provided,
_build_messages() uses builder.build() output instead of raw system_prompt.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: add interactive agent confirmation mode and fix tool loading
- Add `interactive` and `confirm_callback` params to ToolUsingAgent and
NativeReActAgent so CLI sessions can prompt user before tool execution
- Fix tool resolution in `ask` and `chat` commands to fall back to
config.tools.enabled when no --tools flag is provided
- Register shell_exec tool in tools/__init__.py auto-discovery
- Add dspy and gepa as optional learning extras (learning-dspy, learning-gepa)
- Fix openjarvis-rust lock version (1.0.0 → 0.1.0)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(cli): support configured tool defaults and confirmations
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
