Add optional project_id param to run_home_stream. When set, fetch the linked
folder manifest via _fetch_project_manifest and prepend the <linked_folder>
block to the system prompt. Also build an explicit tools list that extends
_all_tools_for_user with FOLDER_TOOLS so the home agent can read folder
files. device_ws._handle_home_request extracts project_id / projectId from
the home_request frame and forwards it to the runner.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add _fetch_project_manifest helper that calls read_project_folder_manifest
via execute_on_client. Wire it into run_task_brief_research_stream (new
optional project_id param) so the <linked_folder> block is prepended to the
system prompt when the task belongs to a linked project. Also bind
FOLDER_TOOLS into the task-brief tool palette so the agent can read folder
files. device_ws extracts project_id / projectId from the task_brief_request
frame and forwards it.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add six v7 WsFrameType enum members (index_session_start/cancel/batch,
index_file_result/progress/done), wire dispatch in device_ws message loop,
and implement _handle_index_session_start/cancel/file_batch with per-file
summarisation, token accounting, and quota enforcement.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add pypdf/python-docx deps, _extract_pdf_text/_extract_docx_text helpers,
and summarize_pdf/summarize_docx wrappers that delegate to summarize_text.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pre-flight quota check for folder_index. Returns 402 with reason
when file cap or monthly token budget would be exceeded; 200 {"ok": true}
otherwise. Also adds auth_headers_free fixture to conftest.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements check_folder_quota and add_token_usage in app/billing/quota.py
with dialect-aware upsert (pg_insert on PostgreSQL, read-then-write on SQLite).
Adds test_user_free/test_user_power fixtures and db alias to conftest.py.
6 new tests pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add folder_max_files and folder_monthly_tokens to all four tier dicts
in FEATURES, and add get_feature_value() helper to TierManager.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add _language_instruction() to deep_agent.py, reads language from core memory
- Append language directive to all 4 run_* functions (task/project/checkpoint/note)
- Minor fixes: alembic env, route imports, test cleanup
Before: branch 3 of oauth_callback attempted to INSERT a user with a
duplicate email → DB constraint violation → 500.
After: if email_verified=False and the email already exists, raise 409
with a message directing the user to sign in with their password.
Also adds test_callback_unverified_email_conflict_returns_409.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
GET /auth/oauth/{provider}/web-callback receives the Google redirect and
bounces immediately to adiuvai://oauth/callback deep link. Google Cloud
Console only accepts http/https redirect URIs — adiuvai:// is not valid.
Default OAUTH_REDIRECT_URI now points to localhost:8000 for dev; override
with the API domain env var in production.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Step 1 of Google login integration: Alembic migration for oauth_accounts +
avatar_url on users, OAuthAccount model with User relationship, UserProfile
schema extended with avatar_url, get_current_user updated to include avatar_url.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Langfuse V3 does not accept user_id/session_id on observation-level calls.
Moved to metadata dict in agent_runner, deep_agent, and agent_setup.
refactor(tests): fixture-based pattern for agent_runner_v2 eval tests
- cases.yaml + data/ fixtures under tests/fixtures/agent_runner_v2/
- pytest_generate_tests parametrizes test_eval_runner from YAML
- _resolve_projects() handles symbolic names and inline dicts
- _evaluate_case() centralizes all assertion logic
- --runner-dir CLI option for custom fixture folders
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Langfuse uses {{variable}} syntax in its prompt management UI, while the
hardcoded fallbacks use {variable} (Python str.format). The previous code
always called .format() which silently failed/errored when a real Langfuse
prompt was fetched.
- langfuse_client.py: add compile_prompt(template, prompt_obj, **vars)
→ uses prompt_obj.compile(**vars) when Langfuse is available
→ falls back to template.format(**vars) when using the hardcoded fallback
- agent_runner.py: replace .format() with compile_prompt() for
unified_processing (V2 local) and batch_cloud_processing (cloud agent)
- agent_setup.py: replace .format() with compile_prompt() for journey_system
deep_agent.py prompts have no variables, so no change needed there.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- New app/core/langfuse_client.py: lazy singleton client, get_prompt_or_fallback()
helper (returns raw template + prompt obj for linking), extract_usage() for token
counts. No-ops when LANGFUSE_* env vars are not set.
- deep_agent.py: home-agent and floating-agent runs wrapped in spans; each ainvoke
wrapped in a generation with model/input/output/usage; prompts fetched from
Langfuse (adiuva-home-agent, adiuva-floating-agent, adiuva-floating-classifier)
with hardcoded fallback.
- agent_runner.py: step1-classifier and step2-processor LLM calls traced; batch
agent _run_agent_with_tools spans + generations; cloud-processor included.
Prompts: adiuva-step1-classifier, adiuva-step2-processor, adiuva-cloud-processor.
- agent_setup.py: journey-setup span + generation per ainvoke; prompt_obj stored
on JourneySession and reused across turns. Prompt: journey_system.
- settings.py: LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, LANGFUSE_HOST added.
- .env.example: Langfuse section with EU/US/self-hosted host comments.
- requirements.txt: langfuse>=2.0.0.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Root causes fixed:
1. PROJECT_TOOLS removed from Step 2 tool set — project assignment is now
exclusively handled by the runner in code, never by the LLM.
2. When Step 1 returns "new", runner calls execute_on_client insert/projects
directly (before Step 2), gets the created id, and passes it as context.
3. Newly created projects are appended to the local `projects` list so that
subsequent files in the same run can match to them via Step 1 — prevents
one project per file when multiple files share the same topic.
Also add tests/test_classify_file.py with pytest cases for _classify_file
and a CLI runner: python -m tests.test_classify_file <file> [project...]
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add explicit MUST NOT instruction: never ask about projects, projectId,
or how to link records; project assignment is handled by the agent runner
- Remove projectId from template field list; remove projects from entity types
- Remove stale isApproved=0 reference (already removed from the data model)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove fixed _MAX_TURNS=5 instruction from system prompt; LLM now decides
when to stop based on self-assessed confidence (>= 90%)
- Add _MIN_TURNS_BEFORE_NUDGE=3 and raise safety cap to _MAX_TURNS=15
- Nudge message and hard cap still act as a safety net for infinite loops
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Rewrite _STEP1_SYSTEM_PROMPT: lower matching threshold (no longer requires
"clear" match), strongly prefer existing projects over creating new ones,
use structured id=|name=|status= format with aiSummary for richer context
- Add code-level UUID validation: reject hallucinated ids not in the fetched
projects list, fall back to "new" instead of creating a bad link
- Rewrite _PROCESSING_SYSTEM_PROMPT: enforce explicit scan-before-create
process (read existing → search → update if found → create only if not)
with hard rule against calling create_* without checking existing records
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Replace LLM-driven triage with code-based directory scan and project fetch
- Two-step LLM approach: Step 1 classifies file→project+domains, Step 2 processes with tools
- Add domain descriptions to Step 1 prompt for better extraction accuracy
- Add _running_agents set for per-agent concurrency guard (one running instance per agent)
- Return 409 from route before DB write when agent already running
- Remove is_approved from task_agent create/update tools and system prompt
- Remove is_approved from timeline_agent create/update tools and system prompt
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
