apunkt/MetaGPT
1
0
Fork 0
mirror of https://github.com/FoundationAgents/MetaGPT.git synced 2026-05-02 12:22:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge pull request #547 from geekan/v0.4.0-release

Browse source 
V0.4.0 release
This commit is contained in:
Sirui Hong 2023-12-12 11:06:16 +08:00 • committed by GitHub
commit 221d927a42
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
3 changed files with 25 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

44
docs/ROADMAP.md
View file

@ -16,12 +16,12 @@ ### Tasks
To reach version v0.5, approximately 70% of the following tasks need to be completed.
1. Usability
1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)
1. ~~Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)~~ (v0.3.0)
2. Support for overall save and recovery of software companies
3. Support human confirmation and modification during the process
3. ~~Support human confirmation and modification during the process~~ (v0.3.0) New: Support human confirmation and modification with fewer constrainsts and a more user-friendly interface
4. Support process caching: Consider carefully whether to add server caching mechanism
5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts
6. Write documentation, describing the current features and usage at all levels
5. ~~Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts~~ (v0.4.0, with function call)
6. Write documentation, describing the current features and usage at all levels (ongoing, continuously adding contents to [documentation site](https://docs.deepwisdom.ai/guide/get_started/introduction.html))
7. ~~Support Docker~~
2. Features
1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at)
@ -30,31 +30,33 @@ ### Tasks
4. Complete the design and implementation of module breakdown
5. Support various modes of memory: clearly distinguish between long-term and short-term memory
6. Perfect the test role, and carry out necessary interactions with humans
7. Provide full mode instead of the current fast mode, allowing natural communication between roles
8. Implement SkillManager and the process of incremental Skill learning
7. Allowing natural communication between roles (expected v0.5.0)
8. Implement SkillManager and the process of incremental Skill learning (experimentation done with game agents)
9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured
10. IMPORTANT: Support incremental development (expected v0.5.0)
3. Strategies
1. Support ReAct strategy
2. Support CoT strategy
1. Support ReAct strategy (experimentation done with game agents)
2. Support CoT strategy (experimentation done with game agents)
3. Support ToT strategy
4. Support Reflection strategy
4. Support Reflection strategy (experimentation done with game agents)
5. Support planning
4. Actions
1. Implementation: Search
1. ~~Implementation: Search~~ (v0.2.1)
2. Implementation: Knowledge search, supporting 10+ data formats
3. Implementation: Data EDA
3. Implementation: Data EDA (expected v0.6.0)
4. Implementation: Review
5. Implementation: Add Document
6. Implementation: Delete Document
5. Implementation: Add Document (expected v0.5.0)
6. Implementation: Delete Document (expected v0.5.0)
7. Implementation: Self-training
8. Implementation: DebugError
8. ~~Implementation: DebugError~~ (v0.2.1)
9. Implementation: Generate reliable unit tests based on YAPI
10. Implementation: Self-evaluation
11. Implementation: AI Invocation
12. Implementation: Learning and using third-party standard libraries
13. Implementation: Data collection
14. Implementation: AI training
15. Implementation: Run code
16. Implementation: Web access
15. ~~Implementation: Run code~~ (v0.2.1)
16. ~~Implementation: Web access~~ (v0.2.1)
5. Plugins: Compatibility with plugin system
6. Tools
1. ~~Support SERPER api~~
@ -64,13 +66,13 @@ ### Tasks
1. Perfect the action pool/skill pool for each role
2. Red Book blogger
3. E-commerce seller
4. Data analyst
4. Data analyst (expected v0.6.0)
5. News observer
6. Institutional researcher
6. ~~Institutional researcher~~ (v0.2.1)
8. Evaluation
1. Support an evaluation on a game dataset
2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results
3. Support an evaluation on a math dataset
1. Support an evaluation on a game dataset (experimentation done with game agents)
2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results (experimentation done with game agents)
3. Support an evaluation on a math dataset (expected v0.6.0)
4. Reproduce papers, achieving SOTA results for current mathematical problem solving process
9. LLM
1. Support Claude underlying API

2
requirements.txt
View file

@ -14,7 +14,7 @@ langchain==0.0.231
loguru==0.6.0
meilisearch==0.21.0
numpy==1.24.3
openai>=0.28.0
openai==0.28.0
openpyxl
beautifulsoup4==4.12.2
pandas==2.0.3

2
setup.py
View file

@ -30,7 +30,7 @@ with open(path.join(here, "requirements.txt"), encoding="utf-8") as f:
setup(
name="metagpt",
version="0.3.0",
version="0.4.0",
description="The Multi-Role Meta Programming Framework",
long_description=long_description,
long_description_content_type="text/markdown",