## Summary
`Pipeline.Run` already accepts an `override_params` map (keyed by
`cpnID`, override-wins) that is merged into each component's params at
compile time via `canvas.WithOverrideParams`. `PatchDSL` performed a
byte-for-byte equivalent merge by baking `ParserConfig` into the DSL
text before compilation, so `runPipelineWithDSL` applied the same
`Doc.ParserConfig` twice with no effect.
## Change
- Delete the now-dead `PatchDSL` function
(`internal/ingestion/pipeline/pipeline.go`); it had a single call site.
- In `runPipelineWithDSL`, compile the DSL unchanged and pass the
extracted component params to `Run` as `override_params`.
## Behavioral note (important)
Previously `PatchDSL` was also the channel that delivered the tenant LLM
id into Extractor components: it baked `parserConfig` — after
`common.InjectExtractorLLMID(parserConfig, Tenant.LLMID)` had injected
`llm_id` — into the DSL. The old `Run` override_params re-cast
`Doc.ParserConfig` (which intentionally omits `llm_id`). So removing
`PatchDSL` while keeping that re-cast would have silently dropped LLM id
injection. This change passes the local `parserConfig` (the
LLMID-injected copy) to `Run`, preserving the prior behavior.
The DSL string returned by `runPipelineWithDSL` is only consumed by
`recordPipelineLog` (structure storage) and `ExtractPayload` (which
reads the terminal structure, not params), so returning the original DSL
is equivalent.
## Test plan
- `bash build.sh --test ./internal/ingestion/task/...
./internal/ingestion/pipeline/...` — both packages pass.
- `gofmt` clean; pre-commit hooks pass.
Co-authored-by: Claude <noreply@anthropic.com>
### Summary
1. list and get by id API for builtin DSL
2. add DSL default component param values validation
3. remove all hard code keys for parser config
Two refactors on the Go port (agent-go-port):
- Remove the dead per-tenant canvas runtime selector (write-only Redis
scaffolding with no runtime callers) and its dependent metrics/admin
code.
- Move the tokenizer embedding-model id from the shared ingestion
globals into a Tokenizer-scoped setup, and wire the production embedder
resolver in the ingestion task package.
32 files changed, 861 insertions, 1228 deletions.
