docker拉去成功,run.py后一只重复打印chatcompletion: using gpt-4-32k
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Description
一 run.py的日志
Human-In-The-Loop False
Start outer loop async
-=-=-=-=-=-=-= BEGIN QUERY SOVLING -=-=-=-=-=-=-=
Role Assistant
Task calc 1+1=?
-=-=-=-=-=-=-= GENERATE INITIAL_PLAN -=-=-=-=-=-=-=
Constructing an Agent: PlanGenerateAgent
chatcompletion: using gpt-4-32k
chatcompletion: using gpt-4-32k
chatcompletion: using gpt-4-32k
chatcompletion: using gpt-4-32k
二 docker 打印的日志
xagent-ToolServerManager-1 | [2024-03-10 08:19:24 +0000] [7] [INFO] Node d2f9c135a0f2 health updated: starting -> healthy
xagent-ToolServerManager-1 | [2024-03-10 08:19:24 +0000] [8] [INFO] Request to node: http://172.19.0.8:31942/get_available_tools
frosty_clarke | INFO: 172.19.0.6:58340 - "POST /get_available_tools HTTP/1.1" 200 OK
xagent-ToolServerManager-1 | [2024-03-10 08:19:25 +0000] [8] [INFO] Response from node: 200
frosty_clarke | INFO: 127.0.0.1:33960 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:33974 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:33978 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:33988 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:33996 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:33998 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:34006 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:34012 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:34014 - "GET / HTTP/1.1" 200 OK
frosty_clarke | INFO: 127.0.0.1:34016 - "GET / HTTP/1.1" 200 OK
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the report by running run.py with the Docker setup and compare its output with the container logs shown in the issue. Trace where "chatcompletion: using gpt-4-32k" is emitted; done means the repeated output is explained and the log no longer prints unexpectedly on a single run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- backend, devops
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100