Update API specs for 2.1 (#699)

* Updating API specs for 2.1

* Updated API and SDK docs
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# API Gateway Changes: v1.8 to v2.1
## Summary
The API gateway gained new WebSocket service dispatchers for embeddings
queries, a new REST streaming endpoint for document content, and underwent
a significant wire format change from `Value` to `Term`. The "objects"
service was renamed to "rows".
---
## New WebSocket Service Dispatchers
These are new request/response services available through the WebSocket
multiplexer at `/api/v1/socket` (flow-scoped):
| Service Key | Description |
|-------------|-------------|
| `document-embeddings` | Queries document chunks by text similarity. Request/response uses `DocumentEmbeddingsRequest`/`DocumentEmbeddingsResponse` schemas. |
| `row-embeddings` | Queries structured data rows by text similarity on indexed fields. Request/response uses `RowEmbeddingsRequest`/`RowEmbeddingsResponse` schemas. |
These join the existing `graph-embeddings` dispatcher (which was already
present in v1.8 but may have been updated).
### Full list of WebSocket flow service dispatchers (v2.1)
Request/response services (via `/api/v1/flow/{flow}/service/{kind}` or
WebSocket mux):
- `agent`, `text-completion`, `prompt`, `mcp-tool`
- `graph-rag`, `document-rag`
- `embeddings`, `graph-embeddings`, `document-embeddings`
- `triples`, `rows`, `nlp-query`, `structured-query`, `structured-diag`
- `row-embeddings`
---
## New REST Endpoint
| Method | Path | Description |
|--------|------|-------------|
| `GET` | `/api/v1/document-stream` | Streams document content from the library as raw bytes. Query parameters: `user` (required), `document-id` (required), `chunk-size` (optional, default 1MB). Returns the document content in chunked transfer encoding, decoded from base64 internally. |
---
## Renamed Service: "objects" to "rows"
| v1.8 | v2.1 | Notes |
|------|------|-------|
| `objects_query.py` / `ObjectsQueryRequestor` | `rows_query.py` / `RowsQueryRequestor` | Schema changed from `ObjectsQueryRequest`/`ObjectsQueryResponse` to `RowsQueryRequest`/`RowsQueryResponse`. |
| `objects_import.py` / `ObjectsImport` | `rows_import.py` / `RowsImport` | Import dispatcher for structured data. |
The WebSocket service key changed from `"objects"` to `"rows"`, and the
import dispatcher key similarly changed from `"objects"` to `"rows"`.
---
## Wire Format Change: Value to Term
The serialization layer (`serialize.py`) was rewritten to use the new `Term`
type instead of the old `Value` type.
### Old format (v1.8 — `Value`)
```json
{"v": "http://example.org/entity", "e": true}
```
- `v`: the value (string)
- `e`: boolean flag indicating whether the value is a URI
### New format (v2.1 — `Term`)
IRIs:
```json
{"t": "i", "i": "http://example.org/entity"}
```
Literals:
```json
{"t": "l", "v": "some text", "d": "datatype-uri", "l": "en"}
```
Quoted triples (RDF-star):
```json
{"t": "r", "r": {"s": {...}, "p": {...}, "o": {...}}}
```
- `t`: type discriminator — `"i"` (IRI), `"l"` (literal), `"r"` (quoted triple), `"b"` (blank node)
- Serialization now delegates to `TermTranslator` and `TripleTranslator` from `trustgraph.messaging.translators.primitives`
### Other serialization changes
| Field | v1.8 | v2.1 |
|-------|------|------|
| Metadata | `metadata.metadata` (subgraph) | `metadata.root` (simple value) |
| Graph embeddings entity | `entity.vectors` (plural) | `entity.vector` (singular) |
| Document embeddings chunk | `chunk.vectors` + `chunk.chunk` (text) | `chunk.vector` + `chunk.chunk_id` (ID reference) |
---
## Breaking Changes
- **`Value` to `Term` wire format**: All clients sending/receiving triples, embeddings, or entity contexts through the gateway must update to the new Term format.
- **`objects` to `rows` rename**: WebSocket service key and import key changed.
- **Metadata field change**: `metadata.metadata` (a serialized subgraph) replaced by `metadata.root` (a simple value).
- **Embeddings field changes**: `vectors` (plural) became `vector` (singular); document embeddings now reference `chunk_id` instead of inline `chunk` text.
- **New `/api/v1/document-stream` endpoint**: Additive, not breaking.

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# CLI Changes: v1.8 to v2.1
## Summary
The CLI (`trustgraph-cli`) has significant additions focused on three themes:
**explainability/provenance**, **embeddings access**, and **graph querying**.
Two legacy tools were removed, one was renamed, and several existing tools
gained new capabilities.
---
## New CLI Tools
### Explainability & Provenance
| Command | Description |
|---------|-------------|
| `tg-list-explain-traces` | Lists all explainability sessions (GraphRAG and Agent) in a collection, showing session IDs, type, question text, and timestamps. |
| `tg-show-explain-trace` | Displays the full explainability trace for a session. For GraphRAG: Question, Exploration, Focus, Synthesis stages. For Agent: Session, Iterations (thought/action/observation), Final Answer. Auto-detects trace type. Supports `--show-provenance` to trace edges back to source documents. |
| `tg-show-extraction-provenance` | Given a document ID, traverses the provenance chain: Document -> Pages -> Chunks -> Edges, using `prov:wasDerivedFrom` relationships. Supports `--show-content` and `--max-content` options. |
### Embeddings
| Command | Description |
|---------|-------------|
| `tg-invoke-embeddings` | Converts text to a vector embedding via the embeddings service. Accepts one or more text inputs, returns vectors as lists of floats. |
| `tg-invoke-graph-embeddings` | Queries graph entities by text similarity using vector embeddings. Returns matching entities with similarity scores. |
| `tg-invoke-document-embeddings` | Queries document chunks by text similarity using vector embeddings. Returns matching chunk IDs with similarity scores. |
| `tg-invoke-row-embeddings` | Queries structured data rows by text similarity on indexed fields. Returns matching rows with index values and scores. Requires `--schema-name` and supports `--index-name`. |
### Graph Querying
| Command | Description |
|---------|-------------|
| `tg-query-graph` | Pattern-based triple store query. Unlike `tg-show-graph` (which dumps everything), this allows selective queries by any combination of subject, predicate, object, and graph. Auto-detects value types: IRIs (`http://...`, `urn:...`, `<...>`), quoted triples (`<<s p o>>`), and literals. |
| `tg-get-document-content` | Retrieves document content from the library by document ID. Can output to file or stdout, handles both text and binary content. |
---
## Removed CLI Tools
| Command | Notes |
|---------|-------|
| `tg-load-pdf` | Removed. Document loading is now handled through the library/processing pipeline. |
| `tg-load-text` | Removed. Document loading is now handled through the library/processing pipeline. |
---
## Renamed CLI Tools
| Old Name | New Name | Notes |
|----------|----------|-------|
| `tg-invoke-objects-query` | `tg-invoke-rows-query` | Reflects the terminology rename from "objects" to "rows" for structured data. |
---
## Significant Changes to Existing Tools
### `tg-invoke-graph-rag`
- **Explainability support**: Now supports a 4-stage explainability pipeline (Question, Grounding/Exploration, Focus, Synthesis) with inline provenance event display.
- **Streaming**: Uses WebSocket streaming for real-time output.
- **Provenance tracing**: Can trace selected edges back to source documents via reification and `prov:wasDerivedFrom` chains.
- Grew from ~30 lines to ~760 lines to accommodate the full explainability pipeline.
### `tg-invoke-document-rag`
- **Explainability support**: Added `question_explainable()` mode that streams Document RAG responses with inline provenance events (Question, Grounding, Exploration, Synthesis stages).
### `tg-invoke-agent`
- **Explainability support**: Added `question_explainable()` mode showing provenance events inline during agent execution (Question, Analysis, Conclusion, AgentThought, AgentObservation, AgentAnswer).
- Verbose mode shows thought/observation streams with emoji prefixes.
### `tg-show-graph`
- **Streaming mode**: Now uses `triples_query_stream()` with configurable batch sizes for lower time-to-first-result and reduced memory overhead.
- **Named graph support**: New `--graph` filter option. Recognises named graphs:
- Default graph (empty): Core knowledge facts
- `urn:graph:source`: Extraction provenance
- `urn:graph:retrieval`: Query-time explainability
- **Show graph column**: New `--show-graph` flag to display the named graph for each triple.
- **Configurable limits**: New `--limit` and `--batch-size` options.
### `tg-graph-to-turtle`
- **RDF-star support**: Now handles quoted triples (RDF-star reification).
- **Streaming mode**: Uses streaming for lower time-to-first-processing.
- **Wire format handling**: Updated to use the new term wire format (`{"t": "i", "i": uri}` for IRIs, `{"t": "l", "v": value}` for literals, `{"t": "r", "r": {...}}` for quoted triples).
- **Named graph support**: New `--graph` filter option.
### `tg-set-tool`
- **New tool type**: `row-embeddings-query` for semantic search on structured data indexes.
- **New options**: `--schema-name`, `--index-name`, `--limit` for configuring row embeddings query tools.
### `tg-show-tools`
- Displays the new `row-embeddings-query` tool type with its `schema-name`, `index-name`, and `limit` fields.
### `tg-load-knowledge`
- **Progress reporting**: Now counts and reports triples and entity contexts loaded per file and in total.
- **Term format update**: Entity contexts now use the new Term format (`{"t": "i", "i": uri}`) instead of the old Value format (`{"v": entity, "e": True}`).
---
## Breaking Changes
- **Terminology rename**: The `Value` schema was renamed to `Term` across the system (PR #622). This affects the wire format used by CLI tools that interact with the graph store. The new format uses `{"t": "i", "i": uri}` for IRIs and `{"t": "l", "v": value}` for literals, replacing the old `{"v": ..., "e": ...}` format.
- **`tg-invoke-objects-query` renamed** to `tg-invoke-rows-query`.
- **`tg-load-pdf` and `tg-load-text` removed**.

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