mirror of
https://github.com/trustgraph-ai/trustgraph.git
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Introduces `workspace` as the isolation boundary for config, flows,
library, and knowledge data. Removes `user` as a schema-level field
throughout the code, API specs, and tests; workspace provides the
same separation more cleanly at the trusted flow.workspace layer
rather than through client-supplied message fields.
Design
------
- IAM tech spec (docs/tech-specs/iam.md) documents current state,
proposed auth/access model, and migration direction.
- Data ownership model (docs/tech-specs/data-ownership-model.md)
captures the workspace/collection/flow hierarchy.
Schema + messaging
------------------
- Drop `user` field from AgentRequest/Step, GraphRagQuery,
DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest,
Sparql/Rows/Structured QueryRequest, ToolServiceRequest.
- Keep collection/workspace routing via flow.workspace at the
service layer.
- Translators updated to not serialise/deserialise user.
API specs
---------
- OpenAPI schemas and path examples cleaned of user fields.
- Websocket async-api messages updated.
- Removed the unused parameters/User.yaml.
Services + base
---------------
- Librarian, collection manager, knowledge, config: all operations
scoped by workspace. Config client API takes workspace as first
positional arg.
- `flow.workspace` set at flow start time by the infrastructure;
no longer pass-through from clients.
- Tool service drops user-personalisation passthrough.
CLI + SDK
---------
- tg-init-workspace and workspace-aware import/export.
- All tg-* commands drop user args; accept --workspace.
- Python API/SDK (flow, socket_client, async_*, explainability,
library) drop user kwargs from every method signature.
MCP server
----------
- All tool endpoints drop user parameters; socket_manager no longer
keyed per user.
Flow service
------------
- Closure-based topic cleanup on flow stop: only delete topics
whose blueprint template was parameterised AND no remaining
live flow (across all workspaces) still resolves to that topic.
Three scopes fall out naturally from template analysis:
* {id} -> per-flow, deleted on stop
* {blueprint} -> per-blueprint, kept while any flow of the
same blueprint exists
* {workspace} -> per-workspace, kept while any flow in the
workspace exists
* literal -> global, never deleted (e.g. tg.request.librarian)
Fixes a bug where stopping a flow silently destroyed the global
librarian exchange, wedging all library operations until manual
restart.
RabbitMQ backend
----------------
- heartbeat=60, blocked_connection_timeout=300. Catches silently
dead connections (broker restart, orphaned channels, network
partitions) within ~2 heartbeat windows, so the consumer
reconnects and re-binds its queue rather than sitting forever
on a zombie connection.
Tests
-----
- Full test refresh: unit, integration, contract, provenance.
- Dropped user-field assertions and constructor kwargs across
~100 test files.
- Renamed user-collection isolation tests to workspace-collection.
155 lines
No EOL
3.6 KiB
Python
155 lines
No EOL
3.6 KiB
Python
"""
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Sets a prompt template.
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"""
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import argparse
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import os
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from trustgraph.api import Api, ConfigKey, ConfigValue
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import json
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import tabulate
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import textwrap
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default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
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default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
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default_workspace = os.getenv("TRUSTGRAPH_WORKSPACE", "default")
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def set_system(url, system, token=None, workspace="default"):
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api = Api(url, token=token, workspace=workspace).config()
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api.put([
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ConfigValue(type="prompt", key="system", value=json.dumps(system))
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])
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print("System prompt set.")
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def set_prompt(url, id, prompt, response, schema, token=None, workspace="default"):
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api = Api(url, token=token, workspace=workspace).config()
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values = api.get([
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ConfigKey(type="prompt", key="template-index")
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])
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ix = json.loads(values[0].value)
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object = {
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"id": id,
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"prompt": prompt,
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}
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if response:
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object["response-type"] = response
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else:
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object["response-type"] = "text"
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if schema:
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object["schema"] = schema
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if id not in ix:
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ix.append(id)
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values = api.put([
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ConfigValue(
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type="prompt", key="template-index", value=json.dumps(ix)
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),
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ConfigValue(
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type="prompt", key=f"template.{id}", value=json.dumps(object)
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)
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])
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print("Prompt set.")
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def main():
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parser = argparse.ArgumentParser(
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prog='tg-set-prompt',
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description=__doc__,
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)
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parser.add_argument(
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'-u', '--api-url',
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default=default_url,
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help=f'API URL (default: {default_url})',
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)
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parser.add_argument(
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'-t', '--token',
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default=default_token,
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help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
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)
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parser.add_argument(
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'-w', '--workspace',
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default=default_workspace,
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help=f'Workspace (default: {default_workspace})',
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)
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parser.add_argument(
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'--id',
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help=f'Prompt ID',
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)
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parser.add_argument(
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'--response',
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help=f'Response form, should be one of: text json',
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)
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parser.add_argument(
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'--schema',
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help=f'JSON schema, for JSON response form',
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)
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parser.add_argument(
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'--prompt',
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help=f'Prompt template',
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)
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parser.add_argument(
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'--system',
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help=f'System prompt',
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)
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args = parser.parse_args()
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try:
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if args.system:
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if args.id or args.prompt or args.schema or args.response:
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raise RuntimeError("Can't use --system with other args")
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set_system(
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url=args.api_url, system=args.system, token=args.token
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)
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else:
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if args.id is None:
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raise RuntimeError("Must specify --id for prompt")
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if args.prompt is None:
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raise RuntimeError("Must specify --prompt for prompt")
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if args.response:
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if args.response not in ["text", "json"]:
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raise RuntimeError("Response must be one of: text json")
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if args.schema:
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try:
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schobj = json.loads(args.schema)
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except:
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raise RuntimeError("JSON schema must be valid JSON")
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else:
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schobj = None
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set_prompt(
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url=args.api_url, id=args.id, prompt=args.prompt,
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response=args.response, schema=schobj, token=args.token
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)
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except Exception as e:
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print("Exception:", e, flush=True)
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if __name__ == "__main__":
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main() |