* fix: preserve provider on LiteLLM-routed models
LiteLLM construction computed the real provider in `__new__` but never
passed it into init, so `BaseLLM` silently defaulted every shared-path
model to `openai`. Infer the provider from a `provider/model` prefix
when none is supplied so groq, cohere, mistral, and the rest report
themselves correctly to callers like the policy engine.
* fix: avoid double-prefixing instructor model strings
With LiteLLM models now carrying a real `provider` while `model` keeps
its `provider/name` form, `InternalInstructor` was building
`groq/groq/...` for `instructor.from_provider`. Skip the prefix when
the model string is already qualified.
* fix: format LiteLLM multimodal content as OpenAI-shaped blocks
Preserving the real provider on the LiteLLM path made
`format_multimodal_content` emit Anthropic-native blocks for
`anthropic/...` models, which LiteLLM rejects. Keep `provider` as the
model identity for policies, but format multimodal blocks with the
OpenAI chat schema when `is_litellm` is set. Expose the formatter helper
on `BaseLLM` so native OpenAI/Azure completions share the same API.
* Fix structured output leaks in tool-calling loops
* addressing comments
* drop scripts
* Update Gemini agent tests to include structured output with thoughts and bump model version to 2.5-flash
* merge
* Update Anthropic test cases to use new model and tool structure
- Changed the model from "claude-3-5-haiku-20241022" to "claude-sonnet-4-6" in the test setup.
- Updated the request and response formats in the YAML test cassette to reflect the new tool structure and improved content formatting.
- Adjusted the expected response body to match the new output format from the assistant, including changes in tool usage and response details.
- Increased rate limit values in the response headers for better testing scenarios.
* adjusted bedrock cassettes
* adjusting cassettes for bedrock
* fix test
* Update VCR configuration to use 'host' instead of 'bedrock_host' for request matching
- add input_files parameter to Crew.kickoff(), Flow.kickoff(), Task, and Agent.kickoff()
- add provider-specific file uploaders for OpenAI, Anthropic, Gemini, and Bedrock
- add file type detection, constraint validation, and automatic format conversion
- add URL file source support for multimodal content
- add streaming uploads for large files
- add prompt caching support for Anthropic
- add OpenAI Responses API support
