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.
34 lines
985 B
Python
34 lines
985 B
Python
"""Inference gateway: shared client and routing layer.
|
|
|
|
Exports:
|
|
InferenceGateway - Gateway facade for all LLM consumers
|
|
InferenceTarget - Resolved target configuration
|
|
StructuredGenerationRequest - Structured generation request
|
|
InferenceResult - Inference response with lineage
|
|
ModelLineage - Lineage record for persistence
|
|
build_lineage_from_result - Extract lineage from a result
|
|
"""
|
|
from services.shared.inference.gateway import InferenceGateway
|
|
from services.shared.inference.lineage import build_lineage_from_result
|
|
from services.shared.inference.models import (
|
|
ChatMessage,
|
|
InferenceResult,
|
|
InferenceTarget,
|
|
ModelLineage,
|
|
ProviderCapabilities,
|
|
StructuredGenerationRequest,
|
|
TokenUsage,
|
|
)
|
|
|
|
__all__ = [
|
|
"InferenceGateway",
|
|
"InferenceTarget",
|
|
"StructuredGenerationRequest",
|
|
"InferenceResult",
|
|
"ChatMessage",
|
|
"ModelLineage",
|
|
"ProviderCapabilities",
|
|
"TokenUsage",
|
|
"build_lineage_from_result",
|
|
]
|