One-line summary

Track Anthropic costs from native usage metadata instead of relying on the fallback tiktoken estimator.

Problem

Anthropic requests were being costed with a generic text-length estimator rather than the provider's native token usage metadata. That made Anthropic totals inaccurate, especially for streaming responses and tool-calling flows where usage arrives through response metadata rather than plain text length.

Solution

add Anthropic-specific pricing rules in gpt_researcher/utils/costs.py
prefer response_metadata["usage"] / usage_metadata when Anthropic returns native token counts
capture usage and response metadata in GenericLLMProvider for both normal and streaming responses
use the same cost-calculation path in create_chat_completion() and tool-calling flows
add focused tests for pricing and streaming metadata capture

Testing

Verified locally with:

uv run python -c "import gpt_researcher; print('ok')"
uv run python -m unittest tests.test_costs tests.test_llm_usage_tracking

Breaking changes

None.

None identified.

One-line summary

Track Anthropic costs from native usage metadata instead of relying on the fallback tiktoken estimator.

Problem

Solution

add Anthropic-specific pricing rules in gpt_researcher/utils/costs.py
prefer response_metadata["usage"] / usage_metadata when Anthropic returns native token counts
capture usage and response metadata in GenericLLMProvider for both normal and streaming responses
use the same cost-calculation path in create_chat_completion() and tool-calling flows
add focused tests for pricing and streaming metadata capture

Testing

Verified locally with:

uv run python -c "import gpt_researcher; print('ok')"
uv run python -m unittest tests.test_costs tests.test_llm_usage_tracking

Breaking changes

None.

None identified.

One-line summary

One-line summary

Problem

Solution

Testing

Breaking changes

Related Skills

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Frontend Typescript Linting.mdc

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One-line summary

Problem

Solution

Testing

Breaking changes

One-line summary

One-line summary

Problem

Solution

Testing

Breaking changes

Related issues

Related Skills

<h1 align="center">

Frontend Typescript Linting.mdc

2. Apply Deepthink Protocol (reason about dependencies

One-line summary

Problem

Solution

Testing

Breaking changes

Related issues