Celes Renata
a72f336ad1
Multi-stage evidence-grounded inference architecture replacing the monolithic 9B model extraction pipeline. CPU-first specialist services handle routine extraction while the 9B vLLM model is preserved for semantic adjudication of ambiguous cases. Key components: - Capability-aware inference gateway (OpenAI-compatible + Ollama) - Endpoint registry with DB migrations and REST API - Sentence-aware document segmenter (property tests) - Deterministic financial parsing with offset integrity - Symbol resolution with ambiguity detection - Specialist service (GLiNER2, dynamic batching, K8s deployment) - Company-specific sentiment (FinBERT, calibration) - Retrieval-based novelty and duplicate detection - Confidence calibration pipeline - Deterministic routing engine (property tests) - 9B adjudication layer with VRAM gating - Stock-specific impact model (features, labels, baseline, trained) - Pipeline orchestrator (state machine, queues, leases, feature flags) - Bounded parallelism (async workers, semaphore, load shedding) - Observability (tracing, metrics, alerts) - Compatibility adapter (v3→v2 golden mapping tests) - Shadow/canary promotion framework - Active learning and fine-tuning pipeline Test results: 1,161 tests pass, ruff lint clean. All 282 spec tasks completed.
11 lines
430 B
Python
11 lines
430 B
Python
"""Inference gateway clients.
|
|
|
|
Exports:
|
|
OpenAICompatibleClient - Client for OpenAI-compatible endpoints (vLLM, OpenAI, etc.)
|
|
OllamaNativeClient - Client for Ollama /api/chat native endpoints.
|
|
"""
|
|
from services.shared.inference.clients.ollama_native import OllamaNativeClient
|
|
from services.shared.inference.clients.openai_compatible import OpenAICompatibleClient
|
|
|
|
__all__ = ["OpenAICompatibleClient", "OllamaNativeClient"]
|