PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for praison from gravatar.com praison

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Mervin Praison
  • Requires: Python >=3.10
  • Provides-Extra: agentops , anthropic , api , autogen , autogen-v4 , call , chat , code , cohere , crewai , google , gradio , openai , realtime , train , ui
Classifiers
Report project as malware

Project description

PraisonAI Package

This is the PraisonAI package, which serves as a wrapper for PraisonAIAgents.

It provides a simple and intuitive interface for working with AI agents and their capabilities.

Directory Structure

The main package code is located in the praisonai subdirectory.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for praison from gravatar.com praison

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Mervin Praison
  • Requires: Python >=3.10
  • Provides-Extra: agentops , anthropic , api , autogen , autogen-v4 , call , chat , code , cohere , crewai , google , gradio , openai , realtime , train , ui
Classifiers

Release history Release notifications | RSS feed

4.5.43

4.5.42

4.5.41

4.5.40

4.5.39

4.5.38

4.5.37

4.5.36

4.5.35

4.5.34

4.5.33

4.5.32

4.5.31

4.5.30

4.5.29

4.5.28

4.5.27

4.5.26

4.5.25

4.5.24

4.5.23

4.5.22

4.5.21

4.5.20

4.5.19

4.5.18

4.5.16

4.5.15

4.5.14

4.5.13

4.5.12

4.5.11

4.5.10

4.5.9

4.5.8

4.5.7

4.5.6

4.5.5

4.5.3

4.5.2

4.5.1

4.5.0

4.4.12

4.4.11

4.4.10

4.4.9

4.4.8

4.4.7

4.4.6

4.4.5

4.4.4

4.4.3

4.4.2

4.4.0

4.3.1

4.3.0

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.0

4.0.0

3.12.3

3.12.2

3.12.1

3.12.0

3.11.14

3.11.13

3.11.12

3.11.11

3.11.10

3.11.9

3.11.8

3.11.4

3.11.3

3.11.2

3.11.1

3.11.0

3.10.27

3.10.26

3.10.25

3.10.24

3.10.23

3.10.22

3.10.21

3.10.20

3.10.19

3.10.18

3.10.17

3.10.16

3.10.15

3.10.14

3.10.13

3.10.12

3.10.11

3.10.10

3.10.9

3.10.8

3.10.7

3.10.6

3.10.5

3.10.4

3.10.3

3.10.2

3.10.1

3.10.0

3.9.35

3.9.34

3.9.33

3.9.32

3.9.31

3.9.30

3.9.29

3.9.28

3.9.27

3.9.26

3.9.25

3.9.24

3.9.23

3.9.22

3.9.21

3.9.20

3.9.19

3.9.18

3.9.17

3.9.16

3.9.15

3.9.14

3.9.13

3.9.12

3.9.11

3.9.10

3.9.9

3.9.8

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.1

3.9.0

3.8.22

3.8.21

3.8.20

3.8.19

3.8.18

3.8.17

3.8.16

3.8.14

3.8.13

3.8.12

3.8.11

3.8.10

3.8.9

3.8.8

3.8.7

3.8.6

3.8.5

3.8.4

3.8.3

3.8.2

3.8.1

3.8.0

3.7.9

3.7.8

3.7.7

3.7.6

3.7.5

3.7.4

3.7.3

3.7.2

3.7.1

3.7.0

3.6.2

3.6.1

3.6.0

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.3

3.5.2

3.5.1

3.5.0

3.4.1

3.4.0

3.3.1

3.3.0

3.2.1

3.2.0

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.9.2

2.9.1

2.9.0

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.7.0

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.87

2.3.86

2.3.85

2.3.84

2.3.83

2.3.82

2.3.81

2.3.80

2.3.79

2.3.78

2.3.77

2.3.76

2.3.75

2.3.74

2.3.73

2.3.72

2.3.71

2.3.70

2.3.69

2.3.68

2.3.67

2.3.66

2.3.65

2.3.64

2.3.63

2.3.62

2.3.61

2.3.60

2.3.59

2.3.58

2.3.57

2.3.56

2.3.55

2.3.54

2.3.53

2.3.52

2.3.51

2.3.50

2.3.49

2.3.48

2.3.47

2.3.46

2.3.45

2.3.44

2.3.43

2.3.42

2.3.41

2.3.40

2.3.39

2.3.38

2.3.37

2.3.36

2.3.35

2.3.34

2.3.33

2.3.32

2.3.31

2.3.30

2.3.29

2.3.28

2.3.27

2.3.26

2.3.25

2.3.24

2.3.23

2.3.22

2.3.21

2.3.20

2.3.19

2.3.18

2.3.16

2.3.15

2.3.14

2.3.13

2.3.12

2.3.11

2.3.10

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.99

2.2.98

2.2.97

2.2.96

2.2.95

2.2.93

2.2.91

2.2.90

2.2.89

2.2.88

2.2.87

2.2.86

2.2.84

2.2.83

2.2.82

2.2.81

2.2.80

This version

2.2.79

2.2.78

2.2.77

2.2.76

2.2.75

2.2.74

2.2.73

2.2.72

2.2.71

2.2.70

2.2.69

2.2.68

2.2.67

2.2.66

2.2.65

2.2.64

2.2.63

2.2.62

2.2.61

2.2.60

2.2.59

2.2.58

2.2.57

2.2.56

2.2.55

2.2.54

2.2.53

2.2.52

2.2.51

2.2.50

2.2.49

2.2.48

2.2.47

2.2.46

2.2.45

2.2.44

2.2.43

2.2.42

2.2.41

2.2.40

2.2.39

2.2.38

2.2.37

2.2.36

2.2.35

2.2.34

2.2.33

2.2.32

2.2.31

2.2.30

2.2.29

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.22

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.1.6

2.1.5

2.1.4

2.1.1

2.1.0

2.0.81

2.0.80

2.0.79

2.0.78

2.0.77

2.0.76

2.0.75

2.0.74

2.0.73

2.0.72

2.0.71

2.0.70

2.0.69

2.0.68

2.0.67

2.0.66

2.0.65

2.0.64

2.0.63

2.0.62

2.0.61

2.0.60

2.0.59

2.0.58

2.0.57

2.0.56

2.0.55

2.0.54

2.0.53

2.0.51

2.0.50

2.0.49

2.0.48

2.0.47

2.0.46

2.0.45

2.0.44

2.0.43

2.0.42

2.0.41

2.0.40

2.0.39

2.0.38

2.0.37

2.0.36

2.0.35

2.0.34

2.0.33

2.0.32

2.0.31

2.0.30

2.0.29

2.0.28

2.0.27

2.0.26

2.0.25

2.0.24

2.0.23

2.0.22

2.0.20

2.0.19

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.3

2.0.2

2.0.1

2.0.0

1.0.11

1.0.10

1.0.9

1.0.8

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.74

0.0.73

0.0.72

0.0.71

0.0.70

0.0.69

0.0.68

0.0.67

0.0.66

0.0.65

0.0.64

0.0.61

0.0.59

0.0.59rc11 pre-release

0.0.59rc9 pre-release

0.0.59rc8 pre-release

0.0.59rc7 pre-release

0.0.59rc6 pre-release

0.0.59rc5 pre-release

0.0.59rc3 pre-release

0.0.59rc2 pre-release

0.0.58

0.0.57

0.0.56

0.0.55

0.0.54

0.0.53

0.0.52

0.0.50

0.0.49

0.0.48

0.0.47

0.0.46

0.0.45

0.0.44

0.0.43

0.0.42

0.0.41

0.0.40

0.0.39

0.0.38

0.0.37

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

praisonai-2.2.79.tar.gz (503.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

praisonai-2.2.79-cp313-cp313-manylinux_2_39_x86_64.whl (538.2 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ x86-64

File details

Details for the file praisonai-2.2.79.tar.gz.

File metadata

  • Download URL: praisonai-2.2.79.tar.gz
  • Upload date:
  • Size: 503.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for praisonai-2.2.79.tar.gz
Algorithm Hash digest
SHA256 9f0723925f1c4ff513ce09ff844dc9e511e5d87e173b27b41ba80017c395a919
MD5 e486e7ce142ac0262669796310fa611e
BLAKE2b-256 d5023e146bd98f622e24e0bb72d78ead3d98c9fdcb226091d58b313eb2f55a05

See more details on using hashes here.

File details

Details for the file praisonai-2.2.79-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for praisonai-2.2.79-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 96ffb4b3376087c84f71f46c2f4c1c95de894bbeef232089df586d4b76c39052
MD5 20206d028219b332d9a7252db275ed1f
BLAKE2b-256 a3e533d247d16cd5a347a18ea7aad58be91af0ba3cba9273ff8f3d9699cbd13c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page