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Row embeddings APIs exposed (#646)

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* Added row embeddings API and CLI support

* Updated protocol specs

* Row embeddings agent tool

* Add new agent tool to CLI
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cybermaggedon 2026-02-23 21:52:56 +00:00 • committed by GitHub
parent 1809c1f56d
commit 4bbc6d844f
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25 changed files with 1090 additions and 29 deletions
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35
trustgraph-flow/trustgraph/agent/react/service.py
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@ -13,10 +13,11 @@ logger = logging.getLogger(__name__)
from ... base import AgentService, TextCompletionClientSpec, PromptClientSpec
from ... base import GraphRagClientSpec, ToolClientSpec, StructuredQueryClientSpec
from ... base import RowEmbeddingsQueryClientSpec, EmbeddingsClientSpec
from ... schema import AgentRequest, AgentResponse, AgentStep, Error
from . tools import KnowledgeQueryImpl, TextCompletionImpl, McpToolImpl, PromptImpl, StructuredQueryImpl
from . tools import KnowledgeQueryImpl, TextCompletionImpl, McpToolImpl, PromptImpl, StructuredQueryImpl, RowEmbeddingsQueryImpl
from . agent_manager import AgentManager
from ..tool_filter import validate_tool_config, filter_tools_by_group_and_state, get_next_state
@ -87,6 +88,20 @@ class Processor(AgentService):
)
)
self.register_specification(
EmbeddingsClientSpec(
request_name = "embeddings-request",
response_name = "embeddings-response",
)
)
self.register_specification(
RowEmbeddingsQueryClientSpec(
request_name = "row-embeddings-query-request",
response_name = "row-embeddings-query-response",
)
)
async def on_tools_config(self, config, version):
logger.info(f"Loading configuration version {version}")
@ -147,11 +162,21 @@ class Processor(AgentService):
)
elif impl_id == "structured-query":
impl = functools.partial(
StructuredQueryImpl,
StructuredQueryImpl,
collection=data.get("collection"),
user=None # User will be provided dynamically via context
)
arguments = StructuredQueryImpl.get_arguments()
elif impl_id == "row-embeddings-query":
impl = functools.partial(
RowEmbeddingsQueryImpl,
schema_name=data.get("schema-name"),
collection=data.get("collection"),
user=None, # User will be provided dynamically via context
index_name=data.get("index-name"), # Optional filter
limit=int(data.get("limit", 10)) # Max results
)
arguments = RowEmbeddingsQueryImpl.get_arguments()
else:
raise RuntimeError(
f"Tool type {impl_id} not known"
@ -327,11 +352,11 @@ class Processor(AgentService):
def __init__(self, flow, user):
self._flow = flow
self._user = user
def __call__(self, service_name):
client = self._flow(service_name)
# For structured query clients, store user context
if service_name == "structured-query-request":
# For query clients that need user context, store it
if service_name in ("structured-query-request", "row-embeddings-query-request"):
client._current_user = self._user
return client