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Fixes#20187 - When using websearch_interception in Bedrock with Claude Code:
1. Output tokens were showing as 0 because the agentic loop response wasn't
being converted back to streaming format
2. The response from the agentic loop (follow-up request) was returned as a
non-streaming dict, but Claude Code expects a streaming response
This fix adds streaming format conversion for the agentic loop response when
the original request was streaming (detected via the
websearch_interception_converted_stream flag in logging_obj).
The fix applies to both:
- Anthropic Messages API (_call_agentic_completion_hooks)
- Chat Completions API (_call_agentic_chat_completion_hooks)
The fix ensures:
- Output tokens are correctly included in the message_delta event
- stop_reason is properly preserved
- The response format matches what Claude Code expects
Note: This fix was previously in PR #20631 but was merged to a staging branch
(litellm_oss_staging_02_07_2026) and never made it to main.
* docs: add OpenClaw integration tutorial
* docs: simplify OpenClaw proxy start command
* docs: rewrite OpenClaw integration guide for clarity
- Use gpt-5 as default model
- Replace poetry run with standard litellm CLI
- Add prerequisites section and verification step
- Simplify onboarding instructions (table format)
- Move manual config and troubleshooting to bottom
- Add multi-model config (claude-sonnet, gemini-flash)
* docs: fix model name in OpenClaw manual config example
* docs: rewrite OpenClaw integration guide from scratch
Rewrote the guide based on hands-on testing of every command.
Key changes:
- Replace non-existent `openclaw chat` with verified commands
(dashboard, tui, agent --agent main)
- Add 3 onboarding options: QuickStart, Manual, and non-interactive
- Fix health check (requires Bearer token)
- Remove misleading "Starting from scratch" section
- Use gpt-4o instead of gpt-5 as the example model
- Clarify that API keys can come from export, .env, or any method
- Add config reference section showing openclaw.json structure
- Add real troubleshooting based on issues found during testing
The context-1m-2025-08-07 beta header was incorrectly set to null for
vertex_ai in anthropic_beta_headers_config.json, causing the header to
be filtered out when users set extra_headers with anthropic-beta:
context-1m-2025-08-07 for Vertex AI requests.
Vertex AI supports the same beta headers as the Anthropic Messages API,
and other providers (bedrock_converse, azure_ai) already have this
header enabled. This fix aligns vertex_ai with the correct behavior.
Fixes#21861
Co-authored-by: stakeswky <stakeswky@users.noreply.github.com>
* Replace Zapier webhook with Google Form for survey submission
* Add back error logging for survey submission debugging
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix: feat: add litellm_system_prompt support
* feat: support new 'litellm_agent' model provider
* feat: ui/ - new agent builder ui
* fix(anthropic/chat/transformation.py): normalize max_tokens if decimal
* feat(agentbuilderview.tsx): run compliance datasets against litellm agent
* feat: new response rejection detector
* fix: multiple fixes
* feat: add mcp tools support to agent builder
create an agent with access to llm's + mcp servers
* fix: feat: add litellm_system_prompt support
* feat: support new 'litellm_agent' model provider
* feat: ui/ - new agent builder ui
* fix(anthropic/chat/transformation.py): normalize max_tokens if decimal
* feat(agentbuilderview.tsx): run compliance datasets against litellm agent
Replace Click CliRunner with standalone_mode=False to avoid
"I/O operation on closed file" errors caused by Click's stream
isolation in CI environments.
