diff --git a/integrations/langchain-js/package.json b/integrations/langchain-js/package.json index 0c1c3fd96..b44f783db 100644 --- a/integrations/langchain-js/package.json +++ b/integrations/langchain-js/package.json @@ -1,6 +1,6 @@ { "name": "@braintrust/langchain-js", - "version": "0.2.2", + "version": "0.2.3", "description": "SDK for integrating Braintrust with LangChain.js", "main": "./dist/index.js", "module": "./dist/index.mjs", diff --git a/integrations/langchain-js/src/BraintrustCallbackHandler.test.ts b/integrations/langchain-js/src/BraintrustCallbackHandler.test.ts index 5c913987b..ce960ab1a 100644 --- a/integrations/langchain-js/src/BraintrustCallbackHandler.test.ts +++ b/integrations/langchain-js/src/BraintrustCallbackHandler.test.ts @@ -1,3 +1,5 @@ +import { ChatAnthropic } from "@langchain/anthropic"; +import { HumanMessage, SystemMessage } from "@langchain/core/messages"; import { ChatPromptTemplate, PromptTemplate } from "@langchain/core/prompts"; import { RunnableMap } from "@langchain/core/runnables"; import { tool } from "@langchain/core/tools"; @@ -1076,3 +1078,159 @@ it("should handle nested agent action with parent run id", async () => { span_parents: [root_span_id], }); }); + +it("should extract prompt caching tokens from Anthropic response", async () => { + const logs: LogsRequest[] = []; + + const ANTHROPIC_RESPONSE_WITH_CACHE = { + model: "claude-sonnet-4-5-20250929", + id: "msg_01PKL7azhWzdzdXC5yojHG6V", + type: "message", + role: "assistant", + content: [ + { + type: "text", + text: 'The first type of testing mentioned is **Unit Testing**, which is described as "Testing individual components or functions in isolation."', + }, + ], + stop_reason: "end_turn", + stop_sequence: null, + usage: { + input_tokens: 14, + cache_creation_input_tokens: 2042, + cache_read_input_tokens: 0, + cache_creation: { + ephemeral_5m_input_tokens: 0, + ephemeral_1h_input_tokens: 0, + }, + output_tokens: 27, + service_tier: "standard", + }, + }; + + const ANTHROPIC_RESPONSE_WITH_CACHE_READ = { + model: "claude-sonnet-4-5-20250929", + id: "msg_01PjHqPkFstyG2Bcqum9XKD8", + type: "message", + role: "assistant", + content: [ + { + type: "text", + text: 'Based on the document:\n\n1. **First type of testing mentioned:** Unit Testing - described as "Testing individual components or functions in isolation"\n\n2. **Python testing frameworks mentioned:** \n - pytest (described as "Feature-rich testing framework")\n - unittest (described as "Built-in Python testing module")', + }, + ], + stop_reason: "end_turn", + stop_sequence: null, + usage: { + input_tokens: 23, + cache_creation_input_tokens: 0, + cache_read_input_tokens: 2042, + cache_creation: { + ephemeral_5m_input_tokens: 0, + ephemeral_1h_input_tokens: 0, + }, + output_tokens: 71, + service_tier: "standard", + }, + }; + + const anthropicResponses = [ + ANTHROPIC_RESPONSE_WITH_CACHE, + ANTHROPIC_RESPONSE_WITH_CACHE_READ, + ]; + + server.use( + http.post("https://api.anthropic.com/v1/messages", ({ request }) => { + const message = anthropicResponses.shift(); + return HttpResponse.json(message); + }), + + http.post(/.+logs.+/, async ({ request }) => { + // eslint-disable-next-line @typescript-eslint/consistent-type-assertions + logs.push((await request.json()) as LogsRequest); + console.log(logs.slice(-1)[0]); + return HttpResponse.json(["cache-tokens-span-id"]); + }), + ); + + const model = new ChatAnthropic({ model: "claude-sonnet-4-5-20250929" }); + + // Use a long system message to simulate cache-eligible content + const longText = ` +# Comprehensive Guide to Software Testing Methods + +Software testing is a critical component of the software development lifecycle. +This guide covers various testing methodologies, best practices, and tools. + +## Types of Testing +- Unit Testing: Testing individual components or functions in isolation +- Integration Testing: Testing how components work together +- End-to-End Testing: Testing the entire application flow + +## Python Testing Tools +- pytest: Feature-rich testing framework +- unittest: Built-in Python testing module +`.repeat(20); // Repeat to ensure enough tokens for caching + + const messages = [ + new SystemMessage({ + content: [ + { + type: "text", + text: longText, + cache_control: { type: "ephemeral" }, + }, + ], + }), + new HumanMessage("What is the first type of testing mentioned?"), + ]; + + // First invocation - should create cache + await model.invoke(messages, { callbacks: [handler] }); + + await flush(); + + const { spans: firstSpans } = logsToSpans(logs); + logs.length = 0; // Clear logs for next invocation + + const firstLlmSpan = firstSpans.find( + (s) => s.span_attributes?.type === "llm", + ); + + expect(firstLlmSpan).toBeDefined(); + expect(firstLlmSpan?.metrics).toMatchObject({ + prompt_tokens: 14, + completion_tokens: 27, + }); + + console.log(firstLlmSpan?.metrics); + + // After fix: should have cache creation tokens + expect(firstLlmSpan?.metrics?.prompt_cache_creation_tokens).toBe(2042); + + // Second invocation - should read from cache + await model.invoke( + [ + ...messages, + new HumanMessage("What testing framework is mentioned for Python?"), + ], + { callbacks: [handler] }, + ); + + await flush(); + + const { spans: secondSpans } = logsToSpans(logs); + + const secondLlmSpan = secondSpans.find( + (s) => s.span_attributes?.type === "llm", + ); + + expect(secondLlmSpan).toBeDefined(); + expect(secondLlmSpan?.metrics).toMatchObject({ + prompt_tokens: 23, + completion_tokens: 71, + }); + + // After fix: should have cache read tokens + expect(secondLlmSpan?.metrics?.prompt_cached_tokens).toBe(2042); +}); diff --git a/integrations/langchain-js/src/BraintrustCallbackHandler.ts b/integrations/langchain-js/src/BraintrustCallbackHandler.ts index d8c8d5063..5b35a3a28 100644 --- a/integrations/langchain-js/src/BraintrustCallbackHandler.ts +++ b/integrations/langchain-js/src/BraintrustCallbackHandler.ts @@ -586,10 +586,13 @@ const getMetricsFromResponse = (response: LLMResult | ChatResult) => { const message: any = generation.message; const usageMetadata = message.usage_metadata; if (usageMetadata && typeof usageMetadata === "object") { + const inputTokenDetails = usageMetadata.input_token_details; const extracted = cleanObject({ total_tokens: usageMetadata.total_tokens, prompt_tokens: usageMetadata.input_tokens, completion_tokens: usageMetadata.output_tokens, + prompt_cache_creation_tokens: inputTokenDetails?.cache_creation, + prompt_cached_tokens: inputTokenDetails?.cache_read, }); Object.assign(metrics, extracted); break; diff --git a/integrations/langchain-js/src/test/setup.ts b/integrations/langchain-js/src/test/setup.ts index 3ce8149fe..0bf80d2a4 100644 --- a/integrations/langchain-js/src/test/setup.ts +++ b/integrations/langchain-js/src/test/setup.ts @@ -3,7 +3,7 @@ import { setupServer } from "msw/node"; import { afterAll, afterEach, beforeAll } from "vitest"; export const server = setupServer( - http.post("http://braintrust.local/api/apikey/login", () => { + http.post(/.+\/api\/apikey\/login/, () => { return HttpResponse.json({ org_info: [ { @@ -19,7 +19,7 @@ export const server = setupServer( }); }), - http.post("http://braintrust.local/api/project/register", () => { + http.post(/.+\/api\/project\/register/, () => { return HttpResponse.json({ project: { id: "209220fc-d3bd-4fab-b1a4-af5827d69200", @@ -38,6 +38,7 @@ beforeAll(() => { // comment out specific to use bypassAndLog process.env.BRAINTRUST_API_KEY = "braintrust-api-key"; process.env.BRAINTRUST_APP_URL = "http://braintrust.local"; + process.env.BRAINTRUST_ORG_NAME = "braintrustdata.com"; process.env.OPENAI_API_KEY = "openai-api-key"; server.listen({ diff --git a/integrations/langchain-py/pyproject.toml b/integrations/langchain-py/pyproject.toml index b78127954..90fd84c2a 100644 --- a/integrations/langchain-py/pyproject.toml +++ b/integrations/langchain-py/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "braintrust-langchain" -version = "0.2.0" +version = "0.2.1" description = "Integration for LangChain and Braintrust Tracing" readme = "README.md" requires-python = ">=3.10" diff --git a/integrations/langchain-py/src/braintrust_langchain/callbacks.py b/integrations/langchain-py/src/braintrust_langchain/callbacks.py index 7ba3a1c5d..871253a1d 100644 --- a/integrations/langchain-py/src/braintrust_langchain/callbacks.py +++ b/integrations/langchain-py/src/braintrust_langchain/callbacks.py @@ -633,6 +633,18 @@ def _get_metrics_from_response(response: LLMResult): ) ) + # Extract cache tokens from nested input_token_details (LangChain format) + # Maps to Braintrust's standard cache token metric names + input_token_details = usage_metadata.get("input_token_details") + if input_token_details and isinstance(input_token_details, dict): + cache_read = input_token_details.get("cache_read") + cache_creation = input_token_details.get("cache_creation") + + if cache_read is not None: + metrics["prompt_cached_tokens"] = cache_read + if cache_creation is not None: + metrics["prompt_cache_creation_tokens"] = cache_creation + if not metrics or not any(metrics.values()): llm_output: dict[str, Any] = response.llm_output or {} metrics = llm_output.get("token_usage") or llm_output.get("estimatedTokens") or {} diff --git a/integrations/langchain-py/src/tests/cassettes/test_prompt_caching_tokens b/integrations/langchain-py/src/tests/cassettes/test_prompt_caching_tokens new file mode 100644 index 000000000..441128e9d --- /dev/null +++ b/integrations/langchain-py/src/tests/cassettes/test_prompt_caching_tokens @@ -0,0 +1,324 @@ +interactions: +- request: + body: '{"max_tokens":1024,"messages":[{"role":"user","content":"What is the first + type of testing mentioned in section 1.2?"}],"model":"claude-sonnet-4-5-20250929","system":[{"type":"text","text":"\n# + Comprehensive Guide to Software Testing Methods!\n\n## Chapter 1: Introduction + to Testing\n\nSoftware testing is a critical component of the software development + lifecycle. It ensures that applications\nfunction correctly, meet requirements, + and provide a positive user experience. This guide covers various\ntesting methodologies, + best practices, and tools used in modern software development.\n\n### 1.1 The + Importance of Testing\n\nTesting helps identify defects early in the development + process, reducing the cost of fixing issues later.\nStudies have shown that + the cost of fixing a bug increases exponentially as it progresses through the\ndevelopment + lifecycle. A bug found during requirements gathering might cost $1 to fix, while + the same bug\nfound in production could cost $100 or more.\n\n### 1.2 Types + of Testing\n\nThere are many types of testing, including:\n- Unit Testing: Testing + individual components or functions in isolation\n- Integration Testing: Testing + how components work together\n- End-to-End Testing: Testing the entire application + flow\n- Performance Testing: Testing application speed and scalability\n- Security + Testing: Testing for vulnerabilities and security issues\n- Usability Testing: + Testing user experience and interface design\n\n## Chapter 2: Unit Testing Best + Practices\n\nUnit testing focuses on testing the smallest testable parts of + an application. Here are some best practices:\n\n### 2.1 Write Tests First (TDD)\n\nTest-Driven + Development (TDD) is a methodology where tests are written before the actual + code. The process\nfollows a simple cycle: Red (write a failing test), Green + (write code to pass the test), Refactor (improve\nthe code while keeping tests + passing).\n\n### 2.2 Keep Tests Independent\n\nEach test should be independent + of others. Tests should not rely on the state created by previous tests.\nThis + ensures that tests can be run in any order and that failures are isolated and + easy to debug.\n\n### 2.3 Use Meaningful Names\n\nTest names should clearly + describe what is being tested and what the expected outcome is. A good test + name\nmight be \"test_user_registration_with_valid_email_succeeds\" rather than + just \"test_registration\".\n\n### 2.4 Test Edge Cases\n\nDon''t just test the + happy path. Consider edge cases like:\n- Empty inputs\n- Null or undefined values\n- + Very large inputs\n- Invalid formats\n- Boundary conditions\n\n## Chapter 3: + Integration Testing\n\nIntegration testing verifies that different modules or + services work together correctly.\n\n### 3.1 Database Integration\n\nWhen testing + database interactions, consider using:\n- Test databases separate from production\n- + Database transactions that roll back after each test\n- Mock data that represents + realistic scenarios\n\n### 3.2 API Integration\n\nAPI integration tests should + verify:\n- Correct HTTP status codes\n- Response format and schema\n- Error + handling\n- Authentication and authorization\n\n## Chapter 4: Performance Testing\n\nPerformance + testing ensures your application can handle expected load and scale appropriately.\n\n### + 4.1 Load Testing\n\nLoad testing simulates multiple users accessing the application + simultaneously. Key metrics include:\n- Response time under load\n- Throughput + (requests per second)\n- Error rates\n- Resource utilization (CPU, memory, network)\n\n### + 4.2 Stress Testing\n\nStress testing pushes the application beyond normal operational + capacity to find breaking points and\nunderstand how the system fails gracefully.\n\n## + Chapter 5: Continuous Integration and Testing\n\nModern development practices + integrate testing into the CI/CD pipeline.\n\n### 5.1 Automated Test Runs\n\nTests + should run automatically on every code change. This includes:\n- Running unit + tests on every commit\n- Running integration tests on pull requests\n- Running + end-to-end tests before deployment\n\n### 5.2 Test Coverage\n\nTest coverage + metrics help identify untested code. While 100% coverage isn''t always practical + or necessary,\nmaintaining good coverage helps ensure code quality. Focus on + critical paths and business logic.\n\n## Chapter 6: Testing Tools and Frameworks\n\nMany + tools exist to support testing efforts:\n\n### 6.1 Python Testing\n- pytest: + Feature-rich testing framework\n- unittest: Built-in Python testing module\n- + mock: Library for mocking objects\n\n### 6.2 JavaScript Testing\n- Jest: Popular + testing framework\n- Mocha: Flexible testing framework\n- Cypress: End-to-end + testing tool\n\n### 6.3 Other Tools\n- Selenium: Browser automation\n- JMeter: + Performance testing\n- Postman: API testing\n\n## Conclusion\n\nEffective testing + is essential for delivering high-quality software. By following best practices + and using\nappropriate tools, teams can catch bugs early, improve code quality, + and deliver better products to users.\n\nRemember: Testing is not just about + finding bugs, it''s about building confidence in your code.\n","cache_control":{"type":"ephemeral"}}]}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '5160' + content-type: + - application/json + host: + - api.anthropic.com + user-agent: + - Anthropic/Python 0.76.0 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 0.76.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.10.19 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAA/22RzU7rMBCFX8WaZZWiJGqvaHYXsQIhsaBsKIqMPW0sEjt4xgVU9d0ZFyp+V4nn + fHOOZ7yDIVjsoQHT62RxSsF75OlsOp/WZT0vF/UCCnBWiIE2bVndrsO/s+1ptYzXl+fz04tN0nZ5 + JQy/jpgpJNIblEIMfS5oIkesPUvJBM8of83d7sgzvmTl8GngvzEhWuc3ioMiNOyCV9VJrVZwIzyp + sFY3SCxEsQLFHaq1i8Qqu2WR30U1SIz0olWO1GSy9I6PjZNJoZ47Z7osWSQT3YNwmnLIR7vz1m2d + TbpXJgyjGHmW8KjWyR8uRYJIf+h1Pp2sAPb3BRCHsY2oZYsyDHrbcooePgTCp4TeyNQ+9X0B6bCo + ZgfOj4lbDo/oCZq6lEVp02FrxCrbt9+BqpwtjogQ9of8qz1H4NjhgFH37Xz40+4TqLqfhvsCQuKv + pZmEEMatM9iywyjT5je2OlrY798Az+eCZFYCAAA= + headers: + CF-RAY: + - 9c1a60c71c9c67cb-SJC + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 21 Jan 2026 22:51:47 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - 27796668-7351-40ac-acc4-024aee8995a5 + anthropic-ratelimit-input-tokens-limit: + - '3000000' + anthropic-ratelimit-input-tokens-remaining: + - '3000000' + anthropic-ratelimit-input-tokens-reset: + - '2026-01-21T22:51:46Z' + anthropic-ratelimit-output-tokens-limit: + - '600000' + anthropic-ratelimit-output-tokens-remaining: + - '600000' + anthropic-ratelimit-output-tokens-reset: + - '2026-01-21T22:51:47Z' + anthropic-ratelimit-tokens-limit: + - '3600000' + anthropic-ratelimit-tokens-remaining: + - '3600000' + anthropic-ratelimit-tokens-reset: + - '2026-01-21T22:51:46Z' + cf-cache-status: + - DYNAMIC + request-id: + - req_011CXMLqXaFZ4xWZExkXJyyb + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + x-envoy-upstream-service-time: + - '2088' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":1024,"messages":[{"role":"user","content":"What is the first + type of testing mentioned in section 1.2?"},{"role":"assistant","content":"According + to section 1.2 \"Types of Testing,\" the first type of testing mentioned is + **Unit Testing**, which is described as \"Testing individual components or functions + in isolation.\""},{"role":"user","content":"What testing framework is mentioned + for Python?"}],"model":"claude-sonnet-4-5-20250929","system":[{"type":"text","text":"\n# + Comprehensive Guide to Software Testing Methods!\n\n## Chapter 1: Introduction + to Testing\n\nSoftware testing is a critical component of the software development + lifecycle. It ensures that applications\nfunction correctly, meet requirements, + and provide a positive user experience. This guide covers various\ntesting methodologies, + best practices, and tools used in modern software development.\n\n### 1.1 The + Importance of Testing\n\nTesting helps identify defects early in the development + process, reducing the cost of fixing issues later.\nStudies have shown that + the cost of fixing a bug increases exponentially as it progresses through the\ndevelopment + lifecycle. A bug found during requirements gathering might cost $1 to fix, while + the same bug\nfound in production could cost $100 or more.\n\n### 1.2 Types + of Testing\n\nThere are many types of testing, including:\n- Unit Testing: Testing + individual components or functions in isolation\n- Integration Testing: Testing + how components work together\n- End-to-End Testing: Testing the entire application + flow\n- Performance Testing: Testing application speed and scalability\n- Security + Testing: Testing for vulnerabilities and security issues\n- Usability Testing: + Testing user experience and interface design\n\n## Chapter 2: Unit Testing Best + Practices\n\nUnit testing focuses on testing the smallest testable parts of + an application. Here are some best practices:\n\n### 2.1 Write Tests First (TDD)\n\nTest-Driven + Development (TDD) is a methodology where tests are written before the actual + code. The process\nfollows a simple cycle: Red (write a failing test), Green + (write code to pass the test), Refactor (improve\nthe code while keeping tests + passing).\n\n### 2.2 Keep Tests Independent\n\nEach test should be independent + of others. Tests should not rely on the state created by previous tests.\nThis + ensures that tests can be run in any order and that failures are isolated and + easy to debug.\n\n### 2.3 Use Meaningful Names\n\nTest names should clearly + describe what is being tested and what the expected outcome is. A good test + name\nmight be \"test_user_registration_with_valid_email_succeeds\" rather than + just \"test_registration\".\n\n### 2.4 Test Edge Cases\n\nDon''t just test the + happy path. Consider edge cases like:\n- Empty inputs\n- Null or undefined values\n- + Very large inputs\n- Invalid formats\n- Boundary conditions\n\n## Chapter 3: + Integration Testing\n\nIntegration testing verifies that different modules or + services work together correctly.\n\n### 3.1 Database Integration\n\nWhen testing + database interactions, consider using:\n- Test databases separate from production\n- + Database transactions that roll back after each test\n- Mock data that represents + realistic scenarios\n\n### 3.2 API Integration\n\nAPI integration tests should + verify:\n- Correct HTTP status codes\n- Response format and schema\n- Error + handling\n- Authentication and authorization\n\n## Chapter 4: Performance Testing\n\nPerformance + testing ensures your application can handle expected load and scale appropriately.\n\n### + 4.1 Load Testing\n\nLoad testing simulates multiple users accessing the application + simultaneously. Key metrics include:\n- Response time under load\n- Throughput + (requests per second)\n- Error rates\n- Resource utilization (CPU, memory, network)\n\n### + 4.2 Stress Testing\n\nStress testing pushes the application beyond normal operational + capacity to find breaking points and\nunderstand how the system fails gracefully.\n\n## + Chapter 5: Continuous Integration and Testing\n\nModern development practices + integrate testing into the CI/CD pipeline.\n\n### 5.1 Automated Test Runs\n\nTests + should run automatically on every code change. This includes:\n- Running unit + tests on every commit\n- Running integration tests on pull requests\n- Running + end-to-end tests before deployment\n\n### 5.2 Test Coverage\n\nTest coverage + metrics help identify untested code. While 100% coverage isn''t always practical + or necessary,\nmaintaining good coverage helps ensure code quality. Focus on + critical paths and business logic.\n\n## Chapter 6: Testing Tools and Frameworks\n\nMany + tools exist to support testing efforts:\n\n### 6.1 Python Testing\n- pytest: + Feature-rich testing framework\n- unittest: Built-in Python testing module\n- + mock: Library for mocking objects\n\n### 6.2 JavaScript Testing\n- Jest: Popular + testing framework\n- Mocha: Flexible testing framework\n- Cypress: End-to-end + testing tool\n\n### 6.3 Other Tools\n- Selenium: Browser automation\n- JMeter: + Performance testing\n- Postman: API testing\n\n## Conclusion\n\nEffective testing + is essential for delivering high-quality software. By following best practices + and using\nappropriate tools, teams can catch bugs early, improve code quality, + and deliver better products to users.\n\nRemember: Testing is not just about + finding bugs, it''s about building confidence in your code.\n","cache_control":{"type":"ephemeral"}}]}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '5456' + content-type: + - application/json + host: + - api.anthropic.com + user-agent: + - Anthropic/Python 0.76.0 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 0.76.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.10.19 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: !!binary | + H4sIAAAAAAAA/2VSzU7DMAx+lSjHqUXtYEzrDYQQB5A4IA2JoiokZg1rnZI4wDTt3XHK/zgl+X4c + +0u2sncGOllJ3aloIA8OESg/ymf5tJjOisV0ITNpDSv6sGqKsqSr5fX87OVC6RbncblY3y7PkDW0 + GSCpIAS1Aga86xKgQrCBFBJD2iEB76q77Zee4C0x41LJE62dNxZXgpwIoMk6FMcHpajl9YZaPtxA + IOazWgpqPYCgD0A8etXDq/PrIJQH0fM9bAYjHp0XH+aqxhrLAzGZDJtkm0xELs5BUfSQe6vb/8Vq + nCZ9REvfjtNoO8otflb9NnGUsYMaD5Ojd3o9qi/tg1d+M7aRwKR0D088W5C7+0wGckPjQXHyHACg + abidFOhIBHiOgJqTwth1mYxjuNVWWhwiNeTWgEFW85LD5ReBRnOpNHjzV1B88UybPa4sjhb79nQF + DC304FXXzPr/5X7Yst1nd5l0kX5Dx+wI4F+shoYseB41fQqjvJG73TumCh7LhwIAAA== + headers: + CF-RAY: + - 9c1a60d4ab5e67cb-SJC + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Wed, 21 Jan 2026 22:51:49 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - 27796668-7351-40ac-acc4-024aee8995a5 + anthropic-ratelimit-input-tokens-limit: + - '3000000' + anthropic-ratelimit-input-tokens-remaining: + - '3000000' + anthropic-ratelimit-input-tokens-reset: + - '2026-01-21T22:51:48Z' + anthropic-ratelimit-output-tokens-limit: + - '600000' + anthropic-ratelimit-output-tokens-remaining: + - '600000' + anthropic-ratelimit-output-tokens-reset: + - '2026-01-21T22:51:49Z' + anthropic-ratelimit-tokens-limit: + - '3600000' + anthropic-ratelimit-tokens-remaining: + - '3600000' + anthropic-ratelimit-tokens-reset: + - '2026-01-21T22:51:48Z' + cf-cache-status: + - DYNAMIC + request-id: + - req_011CXMLqgrrchykwCdY7YRKM + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + x-envoy-upstream-service-time: + - '2016' + status: + code: 200 + message: OK +version: 1 diff --git a/integrations/langchain-py/src/tests/conftest.py b/integrations/langchain-py/src/tests/conftest.py index 256bb4354..4857cf3b1 100644 --- a/integrations/langchain-py/src/tests/conftest.py +++ b/integrations/langchain-py/src/tests/conftest.py @@ -2,7 +2,6 @@ import os import pytest -from braintrust import Tuple from braintrust.logger import ( TEST_API_KEY, Logger, @@ -58,4 +57,4 @@ def logger_memory_logger(): yield (logger, bgl) -LoggerMemoryLogger = Tuple[Logger, _MemoryBackgroundLogger] +LoggerMemoryLogger = tuple[Logger, _MemoryBackgroundLogger] diff --git a/integrations/langchain-py/src/tests/test_callbacks.py b/integrations/langchain-py/src/tests/test_callbacks.py index 45d81f62e..ab17182a6 100644 --- a/integrations/langchain-py/src/tests/test_callbacks.py +++ b/integrations/langchain-py/src/tests/test_callbacks.py @@ -4,10 +4,11 @@ import pytest from braintrust.logger import flush -from langchain.prompts import ChatPromptTemplate -from langchain.prompts.prompt import PromptTemplate +from langchain_anthropic import ChatAnthropic from langchain_core.callbacks import BaseCallbackHandler -from langchain_core.messages import BaseMessage +from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.prompts.prompt import PromptTemplate from langchain_core.runnables import RunnableMap, RunnableSerializable from langchain_core.tools import tool from langchain_openai import ChatOpenAI @@ -148,7 +149,6 @@ def test_llm_calls(logger_memory_logger: LoggerMemoryLogger): ], ) - @pytest.mark.vcr def test_chain_with_memory(logger_memory_logger: LoggerMemoryLogger): logger, memory_logger = logger_memory_logger @@ -949,3 +949,207 @@ def test_streaming_ttft(logger_memory_logger: LoggerMemoryLogger): } ], ) + + +@pytest.mark.vcr +def test_prompt_caching_tokens(logger_memory_logger: LoggerMemoryLogger): + logger, memory_logger = logger_memory_logger + assert not memory_logger.pop() + + handler = BraintrustCallbackHandler(logger=logger) + + model = ChatAnthropic(model="claude-sonnet-4-5-20250929") + + # XXX: if you need to change the cassette or test, you'll want to change the text below to invalidate the stored cache. + + # Anthropic prompt caching requires a minimum of 1024 tokens for Claude Sonnet models. + # This static text (~1500 tokens) ensures we meet that threshold consistently. + # See: https://platform.claude.com/docs/en/build-with-claude/prompt-caching + long_text_for_caching = """ +# Comprehensive Guide to Software Testing Methods! + +## Chapter 1: Introduction to Testing + +Software testing is a critical component of the software development lifecycle. It ensures that applications +function correctly, meet requirements, and provide a positive user experience. This guide covers various +testing methodologies, best practices, and tools used in modern software development. + +### 1.1 The Importance of Testing + +Testing helps identify defects early in the development process, reducing the cost of fixing issues later. +Studies have shown that the cost of fixing a bug increases exponentially as it progresses through the +development lifecycle. A bug found during requirements gathering might cost $1 to fix, while the same bug +found in production could cost $100 or more. + +### 1.2 Types of Testing + +There are many types of testing, including: +- Unit Testing: Testing individual components or functions in isolation +- Integration Testing: Testing how components work together +- End-to-End Testing: Testing the entire application flow +- Performance Testing: Testing application speed and scalability +- Security Testing: Testing for vulnerabilities and security issues +- Usability Testing: Testing user experience and interface design + +## Chapter 2: Unit Testing Best Practices + +Unit testing focuses on testing the smallest testable parts of an application. Here are some best practices: + +### 2.1 Write Tests First (TDD) + +Test-Driven Development (TDD) is a methodology where tests are written before the actual code. The process +follows a simple cycle: Red (write a failing test), Green (write code to pass the test), Refactor (improve +the code while keeping tests passing). + +### 2.2 Keep Tests Independent + +Each test should be independent of others. Tests should not rely on the state created by previous tests. +This ensures that tests can be run in any order and that failures are isolated and easy to debug. + +### 2.3 Use Meaningful Names + +Test names should clearly describe what is being tested and what the expected outcome is. A good test name +might be "test_user_registration_with_valid_email_succeeds" rather than just "test_registration". + +### 2.4 Test Edge Cases + +Don't just test the happy path. Consider edge cases like: +- Empty inputs +- Null or undefined values +- Very large inputs +- Invalid formats +- Boundary conditions + +## Chapter 3: Integration Testing + +Integration testing verifies that different modules or services work together correctly. + +### 3.1 Database Integration + +When testing database interactions, consider using: +- Test databases separate from production +- Database transactions that roll back after each test +- Mock data that represents realistic scenarios + +### 3.2 API Integration + +API integration tests should verify: +- Correct HTTP status codes +- Response format and schema +- Error handling +- Authentication and authorization + +## Chapter 4: Performance Testing + +Performance testing ensures your application can handle expected load and scale appropriately. + +### 4.1 Load Testing + +Load testing simulates multiple users accessing the application simultaneously. Key metrics include: +- Response time under load +- Throughput (requests per second) +- Error rates +- Resource utilization (CPU, memory, network) + +### 4.2 Stress Testing + +Stress testing pushes the application beyond normal operational capacity to find breaking points and +understand how the system fails gracefully. + +## Chapter 5: Continuous Integration and Testing + +Modern development practices integrate testing into the CI/CD pipeline. + +### 5.1 Automated Test Runs + +Tests should run automatically on every code change. This includes: +- Running unit tests on every commit +- Running integration tests on pull requests +- Running end-to-end tests before deployment + +### 5.2 Test Coverage + +Test coverage metrics help identify untested code. While 100% coverage isn't always practical or necessary, +maintaining good coverage helps ensure code quality. Focus on critical paths and business logic. + +## Chapter 6: Testing Tools and Frameworks + +Many tools exist to support testing efforts: + +### 6.1 Python Testing +- pytest: Feature-rich testing framework +- unittest: Built-in Python testing module +- mock: Library for mocking objects + +### 6.2 JavaScript Testing +- Jest: Popular testing framework +- Mocha: Flexible testing framework +- Cypress: End-to-end testing tool + +### 6.3 Other Tools +- Selenium: Browser automation +- JMeter: Performance testing +- Postman: API testing + +## Conclusion + +Effective testing is essential for delivering high-quality software. By following best practices and using +appropriate tools, teams can catch bugs early, improve code quality, and deliver better products to users. + +Remember: Testing is not just about finding bugs, it's about building confidence in your code. +""" + + messages: list[BaseMessage] = [ + SystemMessage( + content=[ + { + "type": "text", + "text": long_text_for_caching, + "cache_control": {"type": "ephemeral"}, + } + ] + ), + HumanMessage(content="What is the first type of testing mentioned in section 1.2?"), + ] + + res = model.invoke(messages, config={"callbacks": [cast(BaseCallbackHandler, handler)]}) + + spans = memory_logger.pop() + assert len(spans) > 0 + + llm_spans = find_spans_by_attributes(spans, name="ChatAnthropic", type="llm") + assert len(llm_spans) == 1 + first_span = llm_spans[0] + + assert "metrics" in first_span + first_metrics = first_span["metrics"] + assert "prompt_tokens" in first_metrics + assert first_metrics["prompt_tokens"] > 0 + + assert "prompt_cache_creation_tokens" in first_metrics + assert first_metrics["prompt_cache_creation_tokens"] > 0 + assert first_metrics["prompt_cached_tokens"] == 0 + + res = model.invoke( + messages + [res, HumanMessage(content="What testing framework is mentioned for Python?")], + config={"callbacks": [cast(BaseCallbackHandler, handler)]}, + ) + + spans = memory_logger.pop() + assert len(spans) > 0 + + llm_spans = find_spans_by_attributes(spans, name="ChatAnthropic", type="llm") + + print(llm_spans) + + assert len(llm_spans) == 1 + second_span = llm_spans[0] + + assert "metrics" in second_span + second_metrics = second_span["metrics"] + + assert "prompt_cached_tokens" in second_metrics + assert second_metrics["prompt_cached_tokens"] > 0 + + assert "prompt_tokens" in second_metrics + assert second_metrics["prompt_tokens"] > 0 diff --git a/integrations/langchain-py/src/tests/test_context.py b/integrations/langchain-py/src/tests/test_context.py index 3740efe6f..c0567396b 100644 --- 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