* fix(auto-fin): parse topic IDs from fenced JSON replies
* fix(auto-fin): limit report agent tool calls in prompt
* refactor(auto-fin): research news by topic before market open
* fix(config): update default model version for claude_code backend
- Change model version from qwen3.8-max to qwen3.7-plus
- Use environment variable LLM_MODEL_NAME to allow override
- Ensure backend configuration reflects updated model setting
* refactor(auto-fin): write one note per topic before the daily digest
The merge step did two jobs at once: it researched every topic and
combined the results into a single report. Split it the way daily-paper
separates analysis from its brief, so each topic earns a durable note of
its own.
- auto_fin_research_step writes one note per topic that had relevant
news, tagged `kind: auto-fin-topic` and `topic` in frontmatter
- auto_fin_digest_step merges those notes into the day's brief with no
tools of its own and appends a `## 主题详解` section linking back to
each note
- a same-day rerun finds a topic's note by its `topic` frontmatter and
replaces it in place, deleting the old file when the title changed
- base.py now owns the shared Markdown layer: title sanitizing, report
normalizing, wikilink validation, note lookup, atomic frontmatter
writes, and change tracking, so both steps share one write path
- the DingTalk step maps `auto_fin_digest_path` to `markdown_path`
explicitly instead of relying on whichever step ran last
- drop the unused AutoFinTopicOutput schema and read `job_tools` from
the step config rather than hardcoding `search`
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(dingtalk): surface rejection details when delivery fails
A failed group send only reported HTTPStatusError, so an operator had to
reproduce the request by hand to learn why DingTalk refused it. Include
the status code and the whitelisted error keys from the response body in
both the log line and the raised RuntimeError.
Only `code`, `message`, and `requestid` are reported: the request body
carries the message content and credentials, so an error response that
echoes it back must not reach the log. Detail is truncated to 200 chars.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(test): make the suite green on CI
- Point the cookbook claude_code model assertion at qwen3.7-plus, the
default commit
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| .. | ||
| src/reme_dingtalk | ||
| tests | ||
| LICENSE | ||
| pyproject.toml | ||
| README.md | ||
| README_ZH.md | ||
DingTalk Plugin
DingTalk provides outbound Markdown notifications and a long-running Agent chat bridge for ReMe. This directory is an
independent Python distribution. Its reme.plugins entry point exposes a backend-only plugin.yaml that registers
dingtalk_markdown_send_step and dingtalk_wait_step. Applications decide whether and how to use those backends;
enabling the plugin alone neither exposes a sending endpoint nor starts a long-lived connection.
Quick start
Install ReMe and the plugin:
python -m pip install "reme-ai[core]>=0.4.1.12"
reme plugins install plugins/dingtalk
reme plugins validate dingtalk
Set the credentials for an internal DingTalk app robot and the target group conversation IDs:
DINGTALK_APP_KEY=your-app-key
DINGTALK_APP_SECRET=your-app-secret
DINGTALK_ROBOT_CODE=your-robot-code
DINGTALK_CONVERSATION_IDS=cid-group-one,cid-group-two
The repository's cookbook config composes DingTalk with the independently installed Auto Fin and Daily Paper plugins:
reme plugins install plugins/auto-fin
reme plugins install plugins/daily_paper
reme start config=cookbook
cookbook.yaml owns the cross-plugin routing: it adds notification Steps after automatic tagging, shares each pipeline
with its cron Job, and explicitly starts the DingTalk Agent bridge as a background Job. The business plugins remain
usable without DingTalk.
Markdown sending Job example
Add a private one-shot Job to an application config when direct sending is useful:
extends: default
plugins: [dingtalk]
jobs:
dingtalk_send:
backend: base
enable_serve: false
parameters:
type: object
properties:
markdown_path:
type: string
required: [markdown_path]
steps:
- backend: dingtalk_markdown_send_step
app_key: ${DINGTALK_APP_KEY}
app_secret: ${DINGTALK_APP_SECRET}
robot_code: ${DINGTALK_ROBOT_CODE}
conversation_ids: ${DINGTALK_CONVERSATION_IDS:-}
timeout: 15
Run it without exposing the Job over HTTP or MCP:
reme start config=/path/to/dingtalk.yaml \
job=dingtalk_send \
markdown_path=daily/2026-09-15/report.md
markdown_path must resolve to an existing .md file inside the configured workspace. Frontmatter is omitted from
the message; the Markdown body is sent serially to each non-empty, comma-separated conversation ID. If no conversation
IDs are configured, delivery succeeds as a no-op. Once recipients are configured, missing credentials, invalid paths,
empty documents, token failures, and failed recipients make the Job fail explicitly. Delivery metadata reports the
configured and successfully sent counts without logging credentials or conversation IDs.
Agent bridge
The bridge maps each sender and conversation to an independent Agent session, supports ReMe's session commands, and sends the final Agent response as Markdown. Add this background Job to an application config that extends the built-in default configuration:
extends: default
plugins: [dingtalk]
jobs:
dingtalk_agent:
backend: background
supervisor: true
close_timeout: 10
steps:
- backend: dingtalk_wait_step
agent_wrapper: default
app_key: ${DINGTALK_APP_KEY}
app_secret: ${DINGTALK_APP_SECRET}
robot_code: ${DINGTALK_ROBOT_CODE}
worker_count: 4
builtin_tools: false
job_tools: [search, read]
The same background Job is enabled by reme/config/cookbook.yaml. When used independently, start it with
reme start config=/path/to/dingtalk.yaml. A background Job is never exposed through HTTP or MCP.
Messages from different session keys may run concurrently, while messages sharing a key are serialized. Session IDs
live only in ApplicationContext.metadata, so restarting ReMe starts new DingTalk-to-Agent session mappings. The
configured agent_wrapper controls model access and permissions; grant only the built-in and Job tools the bot needs.
Development
From the repository root:
reme plugins install ./plugins/dingtalk --editable
reme plugins validate dingtalk
python -m pytest plugins/dingtalk -v
Tests mock DingTalk HTTP, WebSocket, and Agent boundaries and do not contact external services.