Anonymous View

Building applications with LLMs through composability

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for langchain from gravatar.com langchain

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Requires: Python <4.0.0, >=3.10.0
  • Provides-Extra: anthropic , aws , azure-ai , baseten , community , deepseek , fireworks , google-genai , google-vertexai , groq , huggingface , mistralai , ollama , openai , perplexity , together , xai
Classifiers
Report project as malware

Project description

🦜️🔗 LangChain

PyPI - Version PyPI - License PyPI - Downloads Twitter

Looking for the JS/TS version? Check out LangChain.js.

To help you ship LangChain apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.

Quick Install

uv add langchain

🤔 What is this?

LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.

We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use LangGraph, our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.

LangChain agents are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs. You can also chat with the docs using Chat LangChain.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Resources

  • LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
  • Code of Conduct — community guidelines and standards

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for langchain from gravatar.com langchain

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Requires: Python <4.0.0, >=3.10.0
  • Provides-Extra: anthropic , aws , azure-ai , baseten , community , deepseek , fireworks , google-genai , google-vertexai , groq , huggingface , mistralai , ollama , openai , perplexity , together , xai
Classifiers

Release history Release notifications | RSS feed

This version

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5 yanked

Reason this release was yanked:

compatibility regression with first-party Deep Agents summarization integration

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0a2 pre-release

1.3.0a1 pre-release

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5 yanked

Reason this release was yanked:

Changed SummarizationMiddleware.before_model signature.

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.3

1.1.2

1.1.1

1.1.0

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0rc2 pre-release

1.0.0rc1 pre-release

1.0.0a15 pre-release

1.0.0a14 pre-release

1.0.0a13 pre-release

1.0.0a12 pre-release

1.0.0a11 pre-release

1.0.0a10 pre-release

1.0.0a9 pre-release

1.0.0a8 pre-release

1.0.0a7 pre-release

1.0.0a6 pre-release

1.0.0a5 pre-release

1.0.0a4 pre-release

1.0.0a3 pre-release

1.0.0a2 pre-release

1.0.0a1 pre-release

0.4.0.dev0 pre-release

0.3.30

0.3.29

0.3.28

0.3.27

0.3.26

0.3.25

0.3.24

0.3.23

0.3.22

0.3.21

0.3.20

0.3.19

0.3.18

0.3.18rc2 pre-release

0.3.18rc1 pre-release

0.3.17

0.3.16

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.3.0.dev2 pre-release

0.3.0.dev1 pre-release

0.2.17

0.2.16

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.2.0rc2 pre-release

0.2.0rc1 pre-release

0.1.20

0.1.19

0.1.17

0.1.17rc1 pre-release

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

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

0.0.354

0.0.353

0.0.352

0.0.351

0.0.350

0.0.349

0.0.349rc2 pre-release

0.0.349rc1 pre-release

0.0.348

0.0.347

0.0.346

0.0.345

0.0.344

0.0.343

0.0.342

0.0.341

0.0.340

0.0.339

0.0.339rc3 pre-release

0.0.339rc2 pre-release

0.0.339rc1 pre-release

0.0.339rc0 pre-release

0.0.338

0.0.337

0.0.336

0.0.335

0.0.334

0.0.333

0.0.332

0.0.331

0.0.331rc3 pre-release

0.0.331rc2 pre-release

0.0.331rc1 pre-release

0.0.331rc0 pre-release

0.0.330

0.0.329

0.0.327

0.0.326

0.0.325

0.0.324

0.0.323

0.0.322

0.0.321

0.0.320

0.0.319

0.0.318

0.0.317

0.0.316

0.0.315

0.0.314

0.0.313

0.0.312

0.0.311

0.0.310

0.0.309

0.0.308

0.0.307

0.0.306

0.0.305

0.0.304

0.0.303

0.0.302

0.0.301

0.0.300

0.0.299

0.0.298

0.0.297

0.0.296

0.0.295

0.0.294

0.0.293

0.0.292

0.0.291

0.0.290

0.0.289

0.0.288

0.0.287

0.0.286

0.0.285

0.0.284

0.0.283

0.0.281

0.0.279

0.0.278

0.0.277

0.0.276

0.0.275

0.0.274

0.0.273

0.0.272

0.0.271

0.0.270

0.0.269

0.0.268

0.0.267

0.0.266

0.0.265

0.0.264

0.0.263

0.0.262

0.0.261

0.0.260

0.0.259

0.0.258

0.0.257

0.0.256

0.0.255

0.0.254

0.0.253

0.0.252

0.0.251

0.0.250

0.0.249

0.0.248

0.0.247

0.0.246

0.0.245

0.0.244

0.0.243

0.0.242

0.0.240

0.0.240rc4 pre-release

0.0.240rc1 pre-release

0.0.240rc0 pre-release

0.0.239

0.0.238

0.0.237

0.0.236

0.0.235

0.0.234

0.0.233

0.0.232

0.0.231

0.0.230

0.0.229

0.0.228

0.0.227

0.0.226

0.0.225

0.0.224

0.0.223

0.0.222

0.0.221

0.0.220

0.0.219

0.0.218

0.0.217

0.0.216

0.0.215

0.0.214

0.0.213

0.0.212

0.0.211

0.0.210

0.0.209

0.0.208

0.0.207

0.0.206

0.0.205

0.0.204

0.0.203

0.0.202

0.0.201

0.0.200

0.0.199

0.0.198

0.0.197

0.0.196

0.0.195

0.0.194

0.0.193

0.0.192

0.0.191

0.0.190

0.0.189

0.0.188

0.0.187

0.0.186

0.0.185

0.0.184

0.0.183

0.0.182

0.0.181

0.0.180

0.0.179

0.0.178

0.0.177

0.0.176

0.0.175

0.0.174

0.0.173

0.0.172

0.0.171

0.0.170

0.0.169

0.0.168

0.0.167

0.0.166

0.0.165

0.0.164

0.0.163

0.0.162

0.0.161

0.0.160

0.0.159

0.0.158

0.0.157

0.0.156

0.0.155

0.0.154

0.0.153

0.0.152

0.0.151

0.0.150

0.0.149

0.0.148

0.0.147

0.0.146

0.0.145

0.0.144

0.0.143

0.0.142

0.0.141

0.0.140

0.0.139

0.0.138

0.0.137

0.0.136

0.0.135

0.0.134

0.0.133

0.0.132

0.0.131

0.0.130

0.0.129

0.0.128

0.0.127

0.0.126

0.0.125

0.0.124

0.0.123

0.0.122

0.0.121

0.0.120

0.0.119

0.0.118

0.0.117

0.0.116

0.0.115

0.0.114

0.0.113

0.0.112

0.0.111

0.0.110

0.0.109

0.0.108

0.0.107

0.0.106

0.0.105

0.0.104

0.0.103

0.0.102

0.0.102rc0 pre-release

0.0.101

0.0.101rc0 pre-release

0.0.100

0.0.99

0.0.99rc0 pre-release

0.0.98

0.0.97

0.0.96

0.0.95

0.0.94

0.0.93

0.0.92

0.0.91

0.0.90

0.0.89

0.0.88

0.0.87

0.0.86

0.0.85

0.0.84

0.0.83

0.0.82

0.0.81

0.0.80

0.0.79

0.0.78

0.0.77

0.0.76

0.0.75

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

0.0.63

0.0.61

0.0.60

0.0.59

0.0.58

0.0.57

0.0.56

0.0.55

0.0.54

0.0.53

0.0.52

0.0.51

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

langchain-1.3.10.tar.gz (632.5 kB view details)

Uploaded Source

Built Distribution

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

langchain-1.3.10-py3-none-any.whl (133.0 kB view details)

Uploaded Python 3

File details

Details for the file langchain-1.3.10.tar.gz.

File metadata

  • Download URL: langchain-1.3.10.tar.gz
  • Upload date:
  • Size: 632.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.10.tar.gz
Algorithm Hash digest
SHA256 fd6ac9da86c479e4ff376e772d9e17a9232bd3113e9f2ddcb70cdc4bf7afc119
MD5 681ca33ee161a020557a129662e56a03
BLAKE2b-256 3bf6e351d85c7828b9b90c5729de66170457c882c754efef0712904cfcd3192d

See more details on using hashes here.

File details

Details for the file langchain-1.3.10-py3-none-any.whl.

File metadata

  • Download URL: langchain-1.3.10-py3-none-any.whl
  • Upload date:
  • Size: 133.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for langchain-1.3.10-py3-none-any.whl
Algorithm Hash digest
SHA256 5da67f21aa56119744ad51b3e46ffac570c88f4fae0876e3b1c6a1c4bc0e344e
MD5 75469defe09f16cc8061b62ef299d01e
BLAKE2b-256 59f6a682e68d004a2e23cae6c5c42e3c0d071bc0e7768167bd12277992f096f9

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