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Co-authored-by: Richard Lyons <frob@cloudstaff.com>

New lines can be an important part of a user's prompt and trimming
it can alter the results. We previously only trimmed prompts with
images but refactoring brought this behavior to all prompts, where
it became more noticable.

The /generate endpoint adds less whitespace and therefore doesn't
need to trim it out - this brings the same behavior to /chat.

Thanks to @gabe-l-hart for spotting the issue!

Fixes #7795

readme: add llama3.3 to readme

Adds structured outputs to chat endpoint
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Co-authored-by: Michael Yang <mxyng@pm.me>
Co-authored-by: Hieu Nguyen <hieunguyen1053@outlook.com>

Closes #7627

The writeError takes a code argument which is no longer used. Remove it for clarity.

When processing a prompt, we look for image tags of the form
[img-0], which are inserted by the Ollama server process.
However, this can cause errors if the original prompt has these
tags - typically an image not found error is returned.

This changes tag searching behavior to be similar to the 0.3.x
series, which will largely avoid these problems. However,they can
still happen when input text with these tags is used with image
models. The correct solution is to escape the tags but this is a
larger issue with special sequences in general so this is an
incremental fix that should avoid the problem for the majority
of cases.

This also makes it easier to truncate long inputs the same as
shifting but does not actually implement it. This type of
truncation has a trade off between quality and time to first
token.

This changes makeRequest to update the http client Transport if and only
if testMakeRequestDialContext is set. This is to avoid overriding the
default Transport when testMakeRequestDialContext is nil, which broke
existing behavior, included proxies, timeouts, and other behaviors.

Fixes #7829
Fixes #7788

After a user pushes their model it is not clear what to do next. Add a link
to the output of `ollama push` that tells the user where their model can now
be found.

- better formatting of input prompt
- use invoke instead of predict