konstruct

adelorenzo/konstruct

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Commit Graph

Author	SHA1	Message	Date
Adolfo Delorenzo	44fa7e6845	feat(02-02): wire tool-call loop into agent runner and orchestrator pipeline - runner.py: multi-turn tool-call loop (LLM -> tool -> observe -> respond) - runner.py: max 5 iterations guard against runaway tool chains - runner.py: confirmation gate — returns confirmation msg, stops loop - runner.py: audit logging for every LLM call via audit_logger - tasks.py: AuditLogger initialized at task start with session factory - tasks.py: tool registry built from agent.tool_assignments - tasks.py: pending tool confirmation flow via Redis (10 min TTL) - tasks.py: memory persistence skipped for confirmation request responses - llm-pool/router.py: LLMResponse model with content + tool_calls fields - llm-pool/router.py: tools parameter forwarded to litellm.acompletion() - llm-pool/main.py: CompleteRequest accepts optional tools list - llm-pool/main.py: CompleteResponse includes tool_calls field - Migration renamed to 004 (003 was already taken by escalation migration) - [Rule 1 - Bug] Renamed 003_phase2_audit_kb.py -> 004 to fix duplicate revision ID	2026-03-23 15:00:17 -06:00
Adolfo Delorenzo	ee2f88e13b	feat(01-02): LLM Backend Pool — LiteLLM Router with Ollama + Anthropic + OpenAI fallback - Create llm_pool/router.py: LiteLLM Router with fast (Ollama) and quality (Anthropic/OpenAI) model groups - Configure fallback chain: quality providers fail -> fast group - Pin LiteLLM to ==1.82.5 (avoid September 2025 OOM regression in later releases) - Create llm_pool/main.py: FastAPI service on port 8004 with /complete and /health endpoints - Add providers/__init__.py: reserved for future per-provider customization - Update docker-compose.yml: add llm-pool and celery-worker service stubs	2026-03-23 10:03:05 -06:00
Adolfo Delorenzo	5714acf741	feat(01-foundation-01): monorepo scaffolding, Docker Compose, and shared data models - pyproject.toml: uv workspace with 5 member packages (shared, gateway, router, orchestrator, llm-pool) - docker-compose.yml: PostgreSQL 16 + Redis 7 + Ollama services on konstruct-net - .env.example: all required env vars documented, konstruct_app role (not superuser) - scripts/init-db.sh: creates konstruct_app role at DB init time - packages/shared/shared/config.py: Pydantic Settings loading all env vars - packages/shared/shared/models/message.py: KonstructMessage, ChannelType, SenderInfo, MessageContent - packages/shared/shared/models/tenant.py: Tenant, Agent, ChannelConnection SQLAlchemy 2.0 models - packages/shared/shared/models/auth.py: PortalUser model for admin portal auth - packages/shared/shared/db.py: async SQLAlchemy engine, session factory, get_session dependency - packages/shared/shared/rls.py: current_tenant_id ContextVar and configure_rls_hook with parameterized SET LOCAL - packages/shared/shared/redis_keys.py: tenant-namespaced key constructors (rate_limit, idempotency, session, engaged_thread)	2026-03-23 09:49:28 -06:00

Author

SHA1

Message

Date

Adolfo Delorenzo

44fa7e6845

feat(02-02): wire tool-call loop into agent runner and orchestrator pipeline

- runner.py: multi-turn tool-call loop (LLM -> tool -> observe -> respond)
- runner.py: max 5 iterations guard against runaway tool chains
- runner.py: confirmation gate — returns confirmation msg, stops loop
- runner.py: audit logging for every LLM call via audit_logger
- tasks.py: AuditLogger initialized at task start with session factory
- tasks.py: tool registry built from agent.tool_assignments
- tasks.py: pending tool confirmation flow via Redis (10 min TTL)
- tasks.py: memory persistence skipped for confirmation request responses
- llm-pool/router.py: LLMResponse model with content + tool_calls fields
- llm-pool/router.py: tools parameter forwarded to litellm.acompletion()
- llm-pool/main.py: CompleteRequest accepts optional tools list
- llm-pool/main.py: CompleteResponse includes tool_calls field
- Migration renamed to 004 (003 was already taken by escalation migration)
- [Rule 1 - Bug] Renamed 003_phase2_audit_kb.py -> 004 to fix duplicate revision ID

2026-03-23 15:00:17 -06:00

Adolfo Delorenzo

ee2f88e13b

feat(01-02): LLM Backend Pool — LiteLLM Router with Ollama + Anthropic + OpenAI fallback

- Create llm_pool/router.py: LiteLLM Router with fast (Ollama) and quality (Anthropic/OpenAI) model groups
- Configure fallback chain: quality providers fail -> fast group
- Pin LiteLLM to ==1.82.5 (avoid September 2025 OOM regression in later releases)
- Create llm_pool/main.py: FastAPI service on port 8004 with /complete and /health endpoints
- Add providers/__init__.py: reserved for future per-provider customization
- Update docker-compose.yml: add llm-pool and celery-worker service stubs

2026-03-23 10:03:05 -06:00

Adolfo Delorenzo

5714acf741

feat(01-foundation-01): monorepo scaffolding, Docker Compose, and shared data models

- pyproject.toml: uv workspace with 5 member packages (shared, gateway, router, orchestrator, llm-pool)
- docker-compose.yml: PostgreSQL 16 + Redis 7 + Ollama services on konstruct-net
- .env.example: all required env vars documented, konstruct_app role (not superuser)
- scripts/init-db.sh: creates konstruct_app role at DB init time
- packages/shared/shared/config.py: Pydantic Settings loading all env vars
- packages/shared/shared/models/message.py: KonstructMessage, ChannelType, SenderInfo, MessageContent
- packages/shared/shared/models/tenant.py: Tenant, Agent, ChannelConnection SQLAlchemy 2.0 models
- packages/shared/shared/models/auth.py: PortalUser model for admin portal auth
- packages/shared/shared/db.py: async SQLAlchemy engine, session factory, get_session dependency
- packages/shared/shared/rls.py: current_tenant_id ContextVar and configure_rls_hook with parameterized SET LOCAL
- packages/shared/shared/redis_keys.py: tenant-namespaced key constructors (rate_limit, idempotency, session, engaged_thread)

2026-03-23 09:49:28 -06:00

3 Commits