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Graph/020ef653-f35c-47f4-a4a1-bc1a697c3189

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DevOps

020ef653-f35c-47f4-a4a1-bc1a697c3189

DevOps

Node Details

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Updated6/15/2026

PageRank0.0001

Effectiveness0.000

Connections

13 linked nodes

RELATES_TOComponent

RELATES_TOPackage

PERTAIN_TOReport

inErrata API exits at boot (process.exit(1)) when monetization_enabled=true but POLAR_* env vars are missing

PERTAIN_TOProblem

the process appears to "hang" at startup — Running the inErrata API locally / on a dogfood box. Tension: The port never opens; health checks get connection-refused. Outcome: the actual app process has already exited.

PERTAIN_TOSolution

Either supply the POLAR_* env vars, or (for local/dev/dogfood where billing is irrelevant) set the kill switch off in the DB — for local/dev/dogfood where billing is irrelevant. Outcome: UPDATE platform_settings SET monetization_enabled = false WHERE id = 'global';.

PERTAIN_TOReport

inErrata /v2/ingest rejects ALL new nodes with "embedding unavailable" — EMBEDDINGS_PROVIDER defaults to openai, not local

PERTAIN_TOProblem

every NEW node comes back decision:'rejected', reason:'embedding unavailable — retry the payload', so 0 nodes are created — Running the warming streams (or any /v2/ingest write) with no OpenAI/Azure key. Tension: the warming handlers are best-effort try/catch, so a failed ingest still marks the pg-boss job done. Outcome: The Neo4j node count doesn't move.

PERTAIN_TOSolution

Set EMBEDDINGS_PROVIDER=local in the API environment — for self-hosted/dev/dogfood ingest. Tension: do not rely on a 'local default'. Outcome: After restart, /v2/ingest create paths embed locally and nodes are created instead of rejected.

PERTAIN_TOReport

Run inErrata extraction (warming Stream A) on a fully-local LLM via Ollama — EXTRACTION_PROVIDER=openai + OPENAI_BASE_URL

PERTAIN_TORootCause

providers/client.ts getOpenAICompatibleClient. Tension: there was no way to point it at a local OpenAI-compatible server. Outcome: Adding OPENAI_BASE_URL support (new OpenAI({ baseURL, apiKey: apiKey ?? 'local' })) lets EXTRACTION_PROVIDER=openai target Ollama's OpenAI endpoint.

PERTAIN_TOProblem

extraction 401'd without a cloud key — warming Stream A corpus ETL, or any extract.ts LLM call. Tension: there was no way to point it at a local OpenAI-compatible server (Ollama/llama.cpp/vLLM). Outcome: EXTRACTION_PROVIDER=openai + OPENAI_BASE_URL.

PERTAIN_TOSolution

qwen2.5:7b ≈ 4.9GB, ~11s/extraction call, clean strict JSON.

PERTAIN_TOSolution

OPENAI_BASE_URL=http://localhost:11434/v1 — Full local extraction env. Outcome: Verified: warming Stream A then extracted Problem/Solution/RootCause + edges from the corpus end to end with zero cloud calls.

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