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vwp/openapi_with_tool_retrieval
harrison/aws-text
ankush/patch1
harrison/processor
harrison/script-update
harrison/api-chain
harrison/ai21-embeddings
harrison/alpaca
nc/poe-handler-chat-model
nc/poe-handler
harrison/mrkl-parser
harrison/agent-experiments
harrison/replicate
harrison/chat-chain
harrison/update-wandb
harrison/debug
harrison/qasper
harrison/dbpedia
harrison/changes
jeremy/guardrails
nc/guardrails-error-handling
harrison/guardrails
harrison/use-output-parsers
John-Church-guard
agent_evaluation
harrison/kor-chain
harrison/inference-api
ankush/callback-refactor
harrison/eval
harrison/audio
ankush/prompt-abstractions
harrison/memory-chat
harrison/indexes
ankush/partial-prompt-apply
harrison/sagemaker
harrison/datetime
harrison/openapiagent
harrison/paged-pdf
harrison/pswsl
ankush/example-runner
harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
harrison/add_dependencies
langchain-ai21==0.1.4
langchain-ai21==0.1.5
langchain-ai21==0.1.6
langchain-ai21==0.1.7
langchain-airbyte==0.1.1
langchain-anthropic==0.1.12
langchain-anthropic==0.1.13
langchain-anthropic==0.1.14rc1
langchain-anthropic==0.1.14rc2
langchain-anthropic==0.1.15
langchain-anthropic==0.1.16
langchain-anthropic==0.1.17
langchain-anthropic==0.1.18
langchain-anthropic==0.1.19
langchain-anthropic==0.1.20
langchain-anthropic==0.1.21
langchain-anthropic==0.1.22
langchain-anthropic==0.1.23
langchain-anthropic==0.2.0
langchain-anthropic==0.2.0.dev0
langchain-anthropic==0.2.0.dev1
langchain-anthropic==0.2.1
langchain-azure-dynamic-sessions==0.1.0
langchain-azure-dynamic-sessions==0.1.0rc0
langchain-azure-dynamic-sessions==0.2.0
langchain-box==0.1.0
langchain-box==0.2.0
langchain-box==0.2.1
langchain-chroma==0.1.1
langchain-chroma==0.1.2
langchain-chroma==0.1.4
langchain-cli==0.0.22
langchain-cli==0.0.23
langchain-cli==0.0.24
langchain-cli==0.0.25
langchain-cli==0.0.26
langchain-cli==0.0.27
langchain-cli==0.0.28
langchain-cli==0.0.29
langchain-cli==0.0.30
langchain-cli==0.0.31
langchain-community==0.0.35
langchain-community==0.0.36
langchain-community==0.0.37
langchain-community==0.0.38
langchain-community==0.2.0
langchain-community==0.2.0rc1
langchain-community==0.2.1
langchain-community==0.2.10
langchain-community==0.2.11
langchain-community==0.2.12
langchain-community==0.2.13
langchain-community==0.2.14
langchain-community==0.2.15
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langchain-community==0.2.2
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langchain-community==0.2.5
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langchain-community==0.2.7
langchain-community==0.2.9
langchain-community==0.3.0
langchain-community==0.3.0.dev1
langchain-community==0.3.0.dev2
langchain-community==0.3.1
langchain-core==0.1.47
langchain-core==0.1.48
langchain-core==0.1.50
langchain-core==0.1.51
langchain-core==0.1.52
langchain-core==0.2.0
langchain-core==0.2.0rc1
langchain-core==0.2.1
langchain-core==0.2.10
langchain-core==0.2.11
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langchain-core==0.2.13
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langchain-core==0.2.16
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langchain-core==0.2.2
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langchain-core==0.2.27
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langchain-core==0.2.29
langchain-core==0.2.29rc1
langchain-core==0.2.2rc1
langchain-core==0.2.3
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langchain-core==0.2.31
langchain-core==0.2.32
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langchain-core==0.2.6
langchain-core==0.2.7
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langchain-core==0.2.9
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langchain-fireworks==0.2.0.dev1
langchain-fireworks==0.2.0.dev2
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langchain-mistralai==0.2.0.dev1
langchain-mongodb==0.1.4
langchain-mongodb==0.1.5
langchain-mongodb==0.1.6
langchain-mongodb==0.1.7
langchain-mongodb==0.1.8
langchain-mongodb==0.1.9
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langchain-nomic==0.1.0
langchain-nomic==0.1.1
langchain-nomic==0.1.2
langchain-nomic==0.1.3
langchain-ollama==0.1.0
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langchain-ollama==0.1.3
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langchain-openai==0.1.10
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langchain-openai==0.1.21rc2
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langchain-openai==0.1.9
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langchain-openai==0.2.0.dev2
langchain-openai==0.2.1
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langchain-robocorp==0.0.10.post1
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langchain-together==0.1.3
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langchain-together==0.1.5
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langchain-upstage==0.1.4
langchain-upstage==0.1.5
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langchain==0.1.17
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langchain==0.1.20
langchain==0.2.0
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langchain==0.2.1
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langchain/docs
History
Martin Krasser 79ed66f870
EXPERIMENTAL Generic LLM wrapper to support chat model interface with configurable chat prompt format (#8295) 
## Update 2023-09-08

This PR now supports further models in addition to Lllama-2 chat models.
See [this comment](#issuecomment-1668988543) for further details. The
title of this PR has been updated accordingly.

## Original PR description

This PR adds a generic `Llama2Chat` model, a wrapper for LLMs able to
serve Llama-2 chat models (like `LlamaCPP`,
`HuggingFaceTextGenInference`, ...). It implements `BaseChatModel`,
converts a list of chat messages into the [required Llama-2 chat prompt
format](https://huggingface.co/blog/llama2#how-to-prompt-llama-2) and
forwards the formatted prompt as `str` to the wrapped `LLM`. Usage
example:

```python
# uses a locally hosted Llama2 chat model
llm = HuggingFaceTextGenInference(
    inference_server_url="http://127.0.0.1:8080/",
    max_new_tokens=512,
    top_k=50,
    temperature=0.1,
    repetition_penalty=1.03,
)

# Wrap llm to support Llama2 chat prompt format.
# Resulting model is a chat model
model = Llama2Chat(llm=llm)

messages = [
    SystemMessage(content="You are a helpful assistant."),
    MessagesPlaceholder(variable_name="chat_history"),
    HumanMessagePromptTemplate.from_template("{text}"),
]

prompt = ChatPromptTemplate.from_messages(messages)
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chain = LLMChain(llm=model, prompt=prompt, memory=memory)

# use chat model in a conversation
# ...
```

Also part of this PR are tests and a demo notebook.

- Tag maintainer: @hwchase17
- Twitter handle: `@mrt1nz`

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
 		11 months ago
..
api_reference api doc newlines (#13378) 11 months ago
docs EXPERIMENTAL Generic LLM wrapper to support chat model interface with configurable chat prompt format (#8295) 11 months ago
scripts DOCS: format notebooks (#13371) 11 months ago
src add cookbook table (#12043) 12 months ago
static DOCS: langchain stack img update (#13421) 11 months ago
.local_build.sh Harrison/docs smith serve (#12898) 11 months ago
README.md Fix typos (#11663) 12 months ago
babel.config.js Restructure docs (#11620) 12 months ago
code-block-loader.js Restructure docs (#11620) 12 months ago
docusaurus.config.js FEAT docs integration cards site (#13379) 11 months ago
package-lock.json Upgrade docs postcss (#13031) 11 months ago
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README.md

Website

This website is built using Docusaurus 2, a modern static website generator.

Installation

$ yarn

Local Development

$ yarn start

This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.

Build

$ yarn build

This command generates static content into the build directory and can be served using any static contents hosting service.

Deployment

Using SSH:

$ USE_SSH=true yarn deploy

Not using SSH:

$ GIT_USER=<Your GitHub username> yarn deploy

If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.

Continuous Integration

Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.

$ yarn ci