v1.1.10

Bug Fixes

• Model: fix error about pickle of OpenAIModel.

v1.1.9

Features

• Model: Added http_client_factory support to OpenAIModel, allowing callers to inject a custom httpx.AsyncClient factory to control HTTP connection lifecycle and pool settings such as keepalive expiry (#83).

Bug Fixes

• Telemetry: Switched agent_run and invocation spans back to start_as_current_span so child spans such as call_llm inherit the correct parent context, restoring complete trace attributes (including system instructions and tools) in Langfuse reporting.

v1.1.8

Features

• Session: Reworked session history storage from Event.model_flags-based model visibility to an active/historical split, with Session.events holding the active model window and Session.historical_events optionally retaining events moved out by max-event filtering, TTL, or summarization.
• Session: Added SessionServiceConfig.store_historical_events, updated Redis, SQL, and InMemory persistence semantics for active/historical events, and kept list APIs lightweight by omitting both active and historical events from list_sessions().
• Session: Optimized summarization by keeping [summary_event, recent_events...] as the new active window and checking only the leading summary anchor instead of repeatedly scanning the event list.
• Model: Added configuration support for OpenAI/Anthropic APIs and LiteLLM prompt cache.

Bug Fixes

• Telemetry: Propagated span context correctly in async generators by using start_span with context attach/detach, and fixed member-agent input tracing to prefer override_messages over user_content.

v1.1.7

Bug Fixes

• Runner: Added close_session_service_on_close and close_memory_service_on_close controls so short-lived runners can skip closing externally managed session and memory services, such as shared Redis-backed services.
• MCP: Updated Streamable HTTP session creation to prefer the non-deprecated streamable_http_client API, with fallback support for older MCP SDKs that only expose streamablehttp_client.
• MCP: Moved Streamable HTTP headers and timeout configuration onto an owned httpx.AsyncClient, avoiding deprecated transport arguments while keeping the HTTP client lifecycle tied to the MCP session context.
• Storage: Fixed frequent sqlite warnings in SqlSessionService by consistently using database-side func.now() for update timestamps.

v1.1.6

Features

• Skill: Added a recoverable Cube sandbox runtime for skills, including CubeClientConfig, a unified create_cube_sandbox_client entry point, optional auto_recover support in CubeSandboxClient, sandbox lifecycle helpers, and direct CubeWorkspaceRuntime creation from the client.
• Skill: Unified skill load/run/exec/stager paths around repository-level workspace runtime resolution via repository.get_workspace_runtime(ctx), so tools under the same skill repository share one workspace runtime context.
• MCP: Added MCP tool caching to avoid repeated network access.
• Tools: Added GraphAgent support in AgentTool, allowing wrapped graph agents to return results from tool context state.
• Examples/Eval: Restored evaluation examples that were previously removed during open-source cleanup.
• Optimizer: Added support for the prompt self-optimization AgentOptimizer.

Bug Fixes

• Storage: Fixed frequent sqlite warnings in SqlSessionService by consistently using database-side func.now() for update timestamps.

v1.1.5

1.1.5 (2026-05-19)

Features

• Tools: Added StreamingProgressTool with matching ToolsProcessor plumbing so tools can surface intermediate progress as partial=True events while still emitting a single final function_response; included BaseTool streaming hooks, the llmagent_with_streaming_progress_tool example and verification script.

• Eval: Added RemoteEvalService to drive evaluations against agents exposed over remote interfaces, refactored AgentEvaluator to support remote agent calls, and expanded English/Chinese evaluation docs.

• Model: Landed the OpenAI-compatible adapter layer (models/openai_adapter/{_base,_deepseek,_hunyuan}.py) that isolates provider-specific behavior from OpenAIModel, including DeepSeek v4 thinking / response_format / reasoning_content / token usage handling and hy3-preview ToolPrompt text parsing with streaming filter.

• Examples: Added examples/mempalace_mcp (MemPalace via MCP) and updated examples/llmagent_with_thinking to enable add_tools_to_prompt only for hy3-preview and display thinking / tool calls / final answer separately.

• Utils: Added json_loads_repair and json_repair_string helpers (backed by json_repair) under trpc_agent_sdk.utils, with full unit test coverage.

• Model/Tools: Adopted json_repair only on JSON-tolerant paths — JsonToolPrompt / XmlToolPrompt parse_function, non-streaming OpenAI tool-call args, AgentTool structured-output validation, skills tool result parsing — while keeping strict json.loads for the streaming tool-call accumulator (to preserve "wait for next chunk" semantics) and Hunyuan plain-text <arg_value> parsing (to avoid silently coercing plain text into empty strings).

• Model: Fixed ToolPrompt streaming parsing so multiple tool calls in a single response are all preserved instead of only the last one being kept.

Bug Fixes

• Teams: TeamAgent now honors actions.skip_summarization from custom tool events, so tools like AgentTool(skip_summarization=True) and StreamingProgressTool(skip_summarization=True) end the leader loop without an extra summarization turn (previously masked by leader's disable_react_tool=True).

v1.1.4

Bug Fixes

• Tools: Removed default mempalace_tool exports from trpc_agent_sdk.tools to avoid forcing MemPalace optional dependencies during base package import.

v1.1.3

Features

• Model: Added an OpenAI-compatible adapter layer to isolate provider-specific behaviors, including DeepSeek v4 reasoning/format handling and hy3-preview tool-prompt parsing support.
• Memory: Added MemPalace integration with MemPalaceMemoryService and mempalace_tool, plus related examples and documentation.
• Code Execution: Added Cube/E2B sandbox executor and workspace runtime with optional dependency support and end-to-end example coverage.
• Eval: Added support for evaluating the same metric across different LLMs.

Bug Fixes

• Model: Fixed ToolPrompt streaming parsing so multiple tool calls in one response are preserved instead of only the last call.
• Storage: Improved SQL storage compatibility by filtering empty content parts, fixing MySQL DynamicPickleType serialization, and stabilizing session timestamp updates.
• Eval: Fixed judge-agent JSON output handling in the eval module.
• CI: Added missing e2b-code-interpreter test dependency to prevent cube test collection failures.

1.1.2.post1

Features

• Session: Updated session summarization to retain full conversation history while marking summarized events as model-invisible.
• Session: Added backend-threaded summarization execution to avoid blocking front-end conversation turns.
• Skill: Added multi-user support for skill operations.

Bug Fixes

• Code Execution: Fixed the conflict between code execution and tool invocation where tool data could be lost after code execution.
• MCP: Added support for parsing and returning multiple MCP tool results in a single response.

v1.1.2

Features

• Telemetry: Added OpenTelemetry metrics reporting and introduced custom_metrics to support framework metric reporting when parsing remote agent responses.
• Tools: Added web_search with DuckDuckGo and Google providers, and added web_fetch for webpage content retrieval.
• Docs/Examples: Added usage documentation and examples for web_search and web_fetch.