* 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 |
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| .. | ||
| api-agent.md | ||
| api-config.md | ||
| api-core-import-export.md | ||
| api-document-embeddings.md | ||
| api-document-load.md | ||
| api-document-rag.md | ||
| api-embeddings.md | ||
| api-entity-contexts.md | ||
| api-flow.md | ||
| api-graph-embeddings.md | ||
| api-graph-rag.md | ||
| api-knowledge.md | ||
| api-librarian.md | ||
| api-mcp-tool.md | ||
| api-metrics.md | ||
| api-prompt.md | ||
| api-text-completion.md | ||
| api-text-load.md | ||
| api-triples-query.md | ||
| pulsar.md | ||
| README.md | ||
| websocket.md | ||
TrustGraph APIs
Overview
If you want to interact with TrustGraph through APIs, there are 4 forms of API which may be of interest to you. All four mechanisms invoke the same underlying TrustGraph functionality but are made available for integration in different ways:
Pulsar APIs
Apache Pulsar is a pub/sub system used to deliver messages between TrustGraph components. Using Pulsar, you can communicate with TrustGraph components.
Pros:
- Provides complete access to all TrustGraph functionality
- Simple integration with metrics and observability
Cons:
- Integration is non-trivial, requires a special-purpose Pulsar client library
- The Pulsar interfaces are likely something that you would not want to expose outside of the processing cluster in a production or well-secured deployment
REST APIs
A component, api-gateway, provides a bridge between Pulsar internals and
the REST API which allows many services to be invoked using REST APIs.
Pros:
- Uses standard REST approach can be easily integrated into many kinds of technology
- Can be easily protected with authentication and TLS for production-grade or secure deployments
Cons:
- For a complex application, a long series of REST invocations has latency and performance overheads - HTTP has limits on the number of concurrent service invocations
- Lower coverage of functionality - service interfaces need to be added to
api-gatewayto permit REST invocation
Websocket API
The api-gateway component also provides access to services through a
websocket API.
Pros:
- Usable through a standard websocket library
- Can be easily protected with authentication and TLS for production-grade or secure deployments
- Supports concurrent service invocations
Cons:
- Websocket service invocation is a little more complex to develop than using a basic REST API, particular if you want to cover all of the error scenarios well
Python SDK API
The trustgraph-base package provides a Python SDK that wraps the underlying
service invocations in a convenient Python API.
Pros:
- Native Python integration with type hints and documentation
- Simplified service invocation without manual message handling
- Built-in error handling and response parsing
- Convenient for Python-based applications and scripts
Cons:
- Python-specific, not available for other programming languages
- Requires Python environment and trustgraph-base package installation
- Less control over low-level message handling
Flow-hosted APIs
There are two types of APIs: Flow-hosted which need a flow to be running to operate. Non-flow-hosted which are core to the system, and can be seen as 'global' - they are not dependent on a flow to be running.
Knowledge, Librarian, Config and Flow APIs fall into the latter category.