Eilen Shin aaca3eeaeb
refactor(agent): ground runtime decisions in structured evidence (#7986)
* refactor(agent): ground runtime decisions in structured evidence

Use producer status and structured errors for tool recovery, preserve memory context without lexical confirmation, and remove predetermined receipt and skill conclusions.

Require explicit MCP discovery and authenticated schedule trial actions. Preserve authorization, ownership, isolation, and bounded execution; update documentation and regression coverage.

* test(sandbox): expect read_file initialization error callback

* fix(agent): address evidence review follow-ups

* fix(agent): preserve retry budgets for OpenAI transport errors

* fix(agent): expose tool execution status in model requests

Project validated execution metadata and exact tool text into request-only JSON so status survives provider serialization. Preserve stored results and receipt hashes, cover SDK and graph boundaries, and migrate replay input hashes without changing recorded responses.

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-11-08 22:00:23 +08:00
..

Documentation

This directory contains detailed documentation for the DeerFlow backend.

Document Description
ARCHITECTURE.md System architecture overview
API.md Complete API reference
AUTH_DESIGN.md User authentication, CSRF, platform-trust (IM / Internal Auth), and per-user isolation
SSO.md OIDC / SSO single sign-on
IM_CHANNEL_CONNECTIONS.md IM channel user binding (channel_connections)
CONFIGURATION.md Configuration options
SETUP.md Quick setup guide

Feature Documentation

Document Description
STREAMING.md Token-level streaming design: Gateway vs DeerFlowClient paths, stream_mode semantics, per-id dedup
RUN_EVENT_STREAM.md Persisted run event stream: contract, terminal authority, evidence ordering, and known gaps
FILE_UPLOAD.md File upload functionality
PATH_EXAMPLES.md Path types and usage examples
SANDBOX_MEMORY_PROFILING.md Sandbox memory baseline and runtime comparison guide
summarization.md Context summarization feature
plan_mode_usage.md Plan mode with TodoList
AUTO_TITLE_GENERATION.md Automatic title generation

Development

Document Description
TODO.md Planned features and known issues

Getting Started

  1. New to DeerFlow? Start with SETUP.md for quick installation
  2. Configuring the system? See CONFIGURATION.md
  3. Understanding the architecture? Read ARCHITECTURE.md
  4. Building integrations? Check API.md for API reference

Document Organization

docs/
├── README.md                  # This file
├── ARCHITECTURE.md            # System architecture
├── API.md                     # API reference
├── AUTH_DESIGN.md             # User authentication and isolation design
├── CONFIGURATION.md           # Configuration guide
├── SETUP.md                   # Setup instructions
├── FILE_UPLOAD.md             # File upload feature
├── PATH_EXAMPLES.md           # Path usage examples
├── summarization.md           # Summarization feature
├── plan_mode_usage.md         # Plan mode feature
├── STREAMING.md               # Token-level streaming design
├── RUN_EVENT_STREAM.md        # Persisted run event stream contract
├── AUTO_TITLE_GENERATION.md   # Title generation
├── TITLE_GENERATION_IMPLEMENTATION.md  # Title implementation details
└── TODO.md                    # Roadmap and issues