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https://github.com/trustgraph-ai/trustgraph.git
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* Bump setup.py versions for 1.1 * PoC MCP server (#419) * Very initial MCP server PoC for TrustGraph * Put service on port 8000 * Add MCP container and packages to buildout * Update docs for API/CLI changes in 1.0 (#421) * Update some API basics for the 0.23/1.0 API change * Add MCP container push (#425) * Add command args to the MCP server (#426) * Host and port parameters * Added websocket arg * More docs * MCP client support (#427) - MCP client service - Tool request/response schema - API gateway support for mcp-tool - Message translation for tool request & response - Make mcp-tool using configuration service for information about where the MCP services are. * Feature/react call mcp (#428) Key Features - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes - API Enhancement: New mcp_tool method for flow-specific tool invocation - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities - Tool Management: Enhanced CLI for tool configuration and management Changes - Added MCP tool invocation to API with flow-specific integration - Implemented ToolClientSpec and ToolClient for tool call handling - Updated agent-manager-react to invoke MCP tools with configurable types - Enhanced CLI with new commands and improved help text - Added comprehensive documentation for new CLI commands - Improved tool configuration management Testing - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing - Enhanced agent capability to invoke multiple tools simultaneously * Test suite executed from CI pipeline (#433) * Test strategy & test cases * Unit tests * Integration tests * Extending test coverage (#434) * Contract tests * Testing embeedings * Agent unit tests * Knowledge pipeline tests * Turn on contract tests * Increase storage test coverage (#435) * Fixing storage and adding tests * PR pipeline only runs quick tests * Empty configuration is returned as empty list, previously was not in response (#436) * Update config util to take files as well as command-line text (#437) * Updated CLI invocation and config model for tools and mcp (#438) * Updated CLI invocation and config model for tools and mcp * CLI anomalies * Tweaked the MCP tool implementation for new model * Update agent implementation to match the new model * Fix agent tools, now all tested * Fixed integration tests * Fix MCP delete tool params * Update Python deps to 1.2 * Update to enable knowledge extraction using the agent framework (#439) * Implement KG extraction agent (kg-extract-agent) * Using ReAct framework (agent-manager-react) * ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure. * Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework. * Migrate from setup.py to pyproject.toml (#440) * Converted setup.py to pyproject.toml * Modern package infrastructure as recommended by py docs * Install missing build deps (#441) * Install missing build deps (#442) * Implement logging strategy (#444) * Logging strategy and convert all prints() to logging invocations * Fix/startup failure (#445) * Fix loggin startup problems * Fix logging startup problems (#446) * Fix logging startup problems (#447) * Fixed Mistral OCR to use current API (#448) * Fixed Mistral OCR to use current API * Added PDF decoder tests * Fix Mistral OCR ident to be standard pdf-decoder (#450) * Fix Mistral OCR ident to be standard pdf-decoder * Correct test * Schema structure refactor (#451) * Write schema refactor spec * Implemented schema refactor spec * Structure data mvp (#452) * Structured data tech spec * Architecture principles * New schemas * Updated schemas and specs * Object extractor * Add .coveragerc * New tests * Cassandra object storage * Trying to object extraction working, issues exist * Validate librarian collection (#453) * Fix token chunker, broken API invocation (#454) * Fix token chunker, broken API invocation (#455) * Knowledge load utility CLI (#456) * Knowledge loader * More tests
141 lines
No EOL
3 KiB
Python
141 lines
No EOL
3 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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def set_system(url, system):
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api = Api(url).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):
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api = Api(url).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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'--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
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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
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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() |