openai-agents-python

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Author	SHA1	Message	Date
Rohan Mehta	e3698f32b1	Enable non-strict output types (#539 ) See #528, some folks are having issues because their output types are not strict-compatible. My approach was: 1. Create `AgentOutputSchemaBase`, which represents the base methods for an output type - the json schema + validation 2. Make the existing `AgentOutputSchema` subclass `AgentOutputSchemaBase` 3. Allow users to pass a `AgentOutputSchemaBase` to `Agent(output_type=...)`	2025-04-21 11:58:36 -04:00
Rohan Mehta	472e8c13bd	Docs for LiteLLM integration (#532 )	2025-04-16 18:54:22 -04:00
Rohan Mehta	bd404e0f87	Litellm integration (#524 ) litellm is a library that abstracts away details/differences for a lot of model providers. Adding an extension, so that any provider can easily be integrated. --- [//]: # (BEGIN SAPLING FOOTER) * #532 * __->__ #524	2025-04-16 18:48:41 -04:00

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SHA1

Message

Date

Rohan Mehta

e3698f32b1

Enable non-strict output types (#539 )

See #528, some folks are having issues because their output types are
not strict-compatible.

My approach was:
1. Create `AgentOutputSchemaBase`, which represents the base methods for
an output type - the json schema + validation
2. Make the existing `AgentOutputSchema` subclass
`AgentOutputSchemaBase`
3. Allow users to pass a `AgentOutputSchemaBase` to
`Agent(output_type=...)`

2025-04-21 11:58:36 -04:00

Rohan Mehta

472e8c13bd

Docs for LiteLLM integration (#532 )

2025-04-16 18:54:22 -04:00

Rohan Mehta

bd404e0f87

Litellm integration (#524 )

litellm is a library that abstracts away details/differences for a lot
of model providers. Adding an extension, so that any provider can easily
be integrated.

---
[//]: # (BEGIN SAPLING FOOTER)
* #532
* __->__ #524

2025-04-16 18:48:41 -04:00

3 commits