> ## Documentation Index
> Fetch the complete documentation index at: https://docs.literalai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

# `0.1.1` (November 13th, 2024)

* Handle serialization of lists in JSON objects

# `0.1.0` (November 12th, 2024)

* Added `create_prompt_variant` API to create `Prompt` variants
* Modified `create_experiment` to take as input a `Prompt` variant ID instead of a `Prompt` ID

<Warning>Starting with `0.1.0`, you need to have Literal AI version 0.1.0-beta or above to create experiments.</Warning>

# `0.0.627` (October 28th, 2024)

* Added fields `label`, `status` and `tags` to `Prompt` query retrieval
* Fixed serialization/deserialization in LangChain integration

<Warning>Starting with `0.0.627`, you need to have Literal AI version 0.0.629-beta or above.</Warning>

# `0.0.626` (October 21st, 2024)

* Exposed `label` to `create_scores` API for non-solely numerical scores
* Added `release` parameter to `LiteralClient` constructor.
* Fixed `Prompt` object string representation

# `0.0.625` (October 1st, 2024)

* LlamaIndex instrumentation support extended to (in addition to `engine.query`):
  * `llm.chat` and `llm.predict_and_call`
  * `agent.chat` for custom `FunctionCallingAgent` and LlamaIndex's `OpenAIAgent`
  * stream versions of the above methods
* Prevent duplicate LlamaIndex instrumentation

# `0.0.624` (September 27th, 2024)

* Make sure each experiment run has its own ID
* LangChain integration:
  * Allow additional variables in prompt template
  * Make callback handler serializable

# `0.0.623` (September 24th, 2024)

* Add token usage to LangChain integration
* Improved LangChain integration to support all types of LangChain messages
* Fixed LangChain missing tool call ID

# `0.0.612`

* Removed runtime dependency on `llama-index`, only required during instrumentation.

# `0.0.611`

* Adapt the Mistral AI integration to account for Mistral AI Python client changes
* Added option to send a root run ID upon creation of a `Step`
* The API `update_prompt_ab_testing` replaces the old `promote_prompt` and extends on it to allow for A/B testing
* Tags and metadata arguments passed to LangChain will now show in logs
* Fixed the event processor when batch not filled every X seconds

<Warning>Starting with `0.0.611`, you need to have Literal AI version 0.0.617-beta or above.</Warning>

# `0.0.610`

* Adapt the LlamaIndex integration to the new [instrumentation API](https://docs.llamaindex.ai/en/stable/module_guides/observability/instrumentation/#instrumentation)
* Add option to send metadata on Generation creation

<Warning>Starting with `0.0.610`, you need to have Literal AI version 0.0.615-beta or above.</Warning>
<Note>The LLamaIndex integration is compatible with `llama-index` versions 0.10.58 and above.</Note>

# `0.0.608`

* LangChain integration improvements:
  * runs logs have a properly nested structure
  * variables serialization for complex objects

# `0.0.607`

* Added Mistral AI Instrumentation

# `0.0.606`

**Fixes**

* JSON parse errors are now logged

# `0.0.605`

**Fixes**

* The HTTP calls are now following redirections

# `0.0.604`

**Improvements**

* Enhance error handling

# `0.0.603`

**Fixes**

* Default prompt version to `None`

# `0.0.602`

**Fixes**

* Flush doesn't wait for the internal batch to be empty
* Add `repr` to classes
* Error with participant identifier

# `0.0.601`

**Improvements**

* Strip bytes from steps

**New Features**

* Add `get_steps` api

# `0.0.600`

**Improvements**

* Change default batch size from 1 to 5

**New Features**

* Rename `literal_` to `literalai_`

**Fixes**

* Make params optional

# `0.0.509`

**Deprecations**

* `format()` is deprecated. `format_messages()` should now be used.

**New Features**

* Add support for tags with OpenAI Instrumentation

# `0.0.508`

**Deprecations**

* `create_prompt()` is deprecated. `get_or_create_prompt()` should now be used.

**New Features**

* `get_or_create_prompt()`. For creating a new Prompt, use `get_or_create_prompt()`.

  ```
  A `Prompt` is fully defined by its `name`, `template_messages`, `settings` and tools.
  If a prompt already exists for the given arguments, it is returned.
  Otherwise, a new prompt is created.

  Args:
      name (str): The name of the prompt to retrieve or create.
      template_messages (List[GenerationMessage]): A list of template messages for the prompt.
      settings (Optional[Dict]): Optional settings for the prompt.

  Returns:
      Prompt: The prompt that was retrieved or created.
  ```