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Changelog

All notable changes to Promptise Foundry are documented here.

v0.6.1

Fixed

  • Runtime: cross-task MCP client issue -- AgentProcess._build_agent() now pre-discovers MCP tools before agent construction, resolving CancelledError when the MCP SDK's cancel scopes crossed asyncio task boundaries. Tools are pre-discovered and passed as extra_tools instead of relying on the session-bound MCP client.
  • Runtime: manifest server conversion -- manifest_to_process_config() now converts plain server dicts from .agent manifests into HTTPServerSpec/StdioServerSpec objects, fixing AttributeError: 'dict' object has no attribute 'transport' when starting processes from manifest files.

Added

  • Data Pipeline Monitoring Lab (examples/runtime/data_pipeline_lab/) -- 8 production examples demonstrating process lifecycle, triggers, journals, AgentContext, ConversationBuffer, multi-process AgentRuntime, manifest loading, and open mode with meta-tools. All examples use real LLM calls.
  • AI Content Creation Studio (examples/prompts/content_studio_lab/) -- 9 runnable demos covering prompt blocks, flows, guards, strategies, context providers, chain operators, registry, inspector, and templates. All demos use real LLM calls.

v0.6.0

Renamed package from deepmcpagent to promptise.

Added

  • Prompt Engineering framework -- 2-layer system for composing production prompts
    • Layer 1: PromptBlocks -- composable blocks with priority-based assembly
    • Layer 2: ConversationFlow -- turn-aware prompt evolution across conversation phases
    • PromptInspector for full prompt tracing and debugging
  • Agent Runtime -- lifecycle container for autonomous agent processes
    • AgentProcess with state machine (CREATED, RUNNING, SUSPENDED, STOPPED, FAILED)
    • Triggers: CronTrigger, WebhookTrigger, FileWatchTrigger, EventTrigger, MessageTrigger
    • AgentContext for unified state, environment, and file mounts
    • Journal and ReplayEngine for crash recovery
    • .agent YAML manifest format for declarative process definition
    • AgentRuntime multi-process manager with distributed coordination
    • CLI: promptise runtime validate|start|logs|init
  • MCP Server framework -- build production MCP servers
    • MCPServer with @server.tool() decorator and Pydantic model validation
    • MCPRouter for grouping tools under shared prefixes and policies
    • AuthMiddleware with JWTAuth and role-based guards
    • LoggingMiddleware, TimeoutMiddleware, ConcurrencyLimiter
    • BackgroundTasks via dependency injection
    • @cached decorator with InMemoryCache backend
    • ServerSettings for typed, environment-backed configuration
    • Exception handlers for structured MCP error responses
    • Lifecycle hooks (on_startup, on_shutdown)
    • Live monitoring dashboard
    • require_auth option for fully authenticated servers
  • MCP Client library
    • MCPClient for single-server connections with fetch_token() helper
    • MCPMultiClient for multi-server routing with automatic tool discovery
    • MCPToolAdapter for converting MCP tools to LangChain BaseTool instances
    • Tracing callbacks (on_before, on_after, on_error)

Changed

  • Package name: deepmcpagent renamed to promptise
  • CLI command: deepmcpagent renamed to promptise
  • All import paths: from deepmcpagent changed to from promptise

v0.5.0

Initial release as deepmcpagent.

Added

  • Core agent building with build_agent()
  • MCP integration with HTTPServerSpec and StdioServerSpec
  • Cross-agent communication and delegation via CrossAgent
  • SuperAgent .superagent YAML configuration format
  • CLI: deepmcpagent agent|validate|init|list-tools
  • Sandbox execution with SandboxConfig